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ORCID20th ISBI 2023: Cartagena, Colombia
- 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023. IEEE 2023, ISBN 978-1-6654-7358-3
- Keita Takeda, Eiji Mitate, Tomoya Sakai:
Background Subtraction Approach to Unsupervised Cell Segmentation: Toward Excluding Spurious Features in Degraded Cytology Slides. 1-5 - Alexander Ziller, Ayhan Can Erdur, Friederike Jungmann
, Daniel Rueckert, Rickmer Braren, Georgios Kaissis:
Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients. 1-5 - Jiesi Hu, Yanwu Yang, Xutao Guo, Bo Peng, Hua Huang, Ting Ma:
DECOR-Net: A Covid-19 Lung Infection Segmentation Network Improved by Emphasizing Low-Level Features and Decorrelating Features. 1-5 - Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Leslie Ying, Hairong Zheng, Shanshan Wang:
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. 1-4 - Alexandre Stenger, Luc Vedrenne, Patrick Schultz, Sylvain Faisan, Étienne Baudrier, Benoît Naegel:
Fast and Interpretable Unsupervised Domain Adaptation for FIB-SEM Cell Segmentation. 1-5 - Ahmad Chaddad, Yousef Katib, Camel Tanougast:
Advances in MRI-Based Radiomics for Prostate Cancer. 1-5 - Difei Gu, Dexu Wang, Xiaofan Zhang, Hongsheng Li:
Semi-Supervised Pulmonary Airway Segmentation with Two-Stage Feature Specialization Mechanism. 1-5 - Sanjay Ghosh, Chang Cai, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S. Nagarajan:
Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-Rank Noise. 1-5 - Arthur Longuefosse, Gaël Dournes, Ilyes Benlala, Baudouin Denis de Senneville, François Laurent, Pascal Desbarats, Fabien Baldacci:
Lung CT Synthesis Using GANs with Conditional Normalization on Registered Ultrashort Echo-Time MRI. 1-5 - SeokHwan Oh, Myeong-Gee Kim, Young-Min Kim, Guil Jung, Hyuksool Kwon, Hyeon-Min Bae:
Spatio-Temporal Quantitative Ultrasound Imaging for Breast Cancer Identification. 1-5 - Filip Rusak, Rodrigo Santa Cruz, Hilda Chourak, Elliot Smith, Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat, Andrew P. Bradley:
When to Use Augmentation - Variability Insufficient for Cortical Thickness Estimation Improvement. 1-5 - Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen:
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues. 1-5 - Rui Hu, Jianan Cui, Chengjin Yu, Yunmei Chen, Huafeng Liu:
STPDnet: Spatial-Temporal Convolutional Primal Dual Network for Dynamic Pet Image Reconstruction. 1-5 - Nabil Vindas, Nicole Labra Avila, Fan Zhang, Tengfei Xue, Lauren J. O'Donnell, Jean-François Mangin:
GeoLab: Geometry-Based Tractography Parcellation of Superficial White Matter. 1-5 - Ehsan Khodapanah Aghdam, Reza Azad, Maral Zarvani, Dorit Merhof:
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation. 1-5 - Ahmad Chaddad, Yousef Katib, Camel Tanougast:
A One-Dimensional Convolutional Neural Network Model for Predicting the Survival Outcome of Coronavirus Disease 2019. 1-4 - Thibault Sauron, Carole Lazarus, Camille Kurtz, Florence Cloppet:
Learning Representations for MR Image Retrieval: Contrastive Models Versus Other Supervision Strategies. 1-5 - Matthew McCumber, Kevin Tyner, Srijita Das, William C. Stacey, Garnett C. Smith, Mustaffa Alfatlawi, Stephen V. Gliske:
Seizure Onset Localization From Ictal Intracranial EEG Data Using Online Dynamic Mode Decomposition. 1-4 - Zongyu Li, Yucong Lin, Danni Ai, Jian Yang:
A Global-Local Features Exchange and Fusion Network for Multi-Organ Segmentation. 1-5 - Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, George Bebis, Salah A. Baker:
Swin-SFTNet : Spatial Feature Expansion and Aggregation Using Swin Transformer for Whole Breast Micro-Mass Segmentation. 1-5 - Mohammad Sadegh Nasr, Amir Hajighasemi, Paul Koomey, Parisa Boodaghi Malidarreh, Michael Robben, Jillur Rahman Saurav, Helen H. Shang, Manfred Huber, Jacob M. Luber:
Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides Through Variational Autoencoder based Image Compression. 1-5 - Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang:
Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans. 1-4 - Dan Segev, Ronen Basri, Tomer Batash, Itay Chowers, Daniel Harari, Rivkah Lender, Jaime Levi, Yahel Shwartz, Liran Tiosano, Shimon Ullman, Meirav Galun:
Attention Based Multi-Label Classification of Diabetic Retinopathy from Optical Coherence Tomography. 1-5 - Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier:
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems. 1-5 - Armin Iraji, Katarzyna Kazimierczak, Jiayu Chen, Sara Motlaghian, Karsten Specht, Tülay Adali, Vince D. Calhoun:
The Nonlinear Brain: Towards Uncovering Hidden Brain Networks Using Explicitly Nonlinear Functional Interaction. 1-4 - Hanying Liang, Guochen Ning, Xinran Zhang, Hongen Liao:
Semi-supervised Anatomy Tracking with Contrastive Representation Learning in Ultrasound Sequences. 1-5 - Seonghui Min, Won-Ki Jeong:
CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement. 1-5 - Pablo Toledo Margalef, Pablo Navarro, Tábita Hünemeier, Alexandre C. Pereira, Rolando González-José, Claudio Delrieux:
Deep Learning Based UV Facial Imaging Generation. 1-5 - Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien:
Brain Subtle Anomaly Detection Based on Auto-Encoders Latent Space Analysis: Application To De Novo Parkinson Patients. 1-5 - Valentina Vadori, Jean-Marie Graïc, Livio Finos, Livio Corain, Antonella Peruffo, Enrico Grisan:
Mr-Nom: Multi-Scale Resolution of Neuronal Cells in Nissl-Stained Histological Slices Via Deliberate over-Segmentation and Merging. 1-5 - Zhishan Jiang, Ke Yan, Le Lu, Minfeng Xu:
Div-Attention: A Plug-and-Play Module for 3D Medical Image Segmentation. 1-4 - Nicolas Portal, Nadjia Kachenoura, Thomas Dietenbeck, Catherine Achard:
SFB-net for Cardiac Segmentation: Bridging the Semantic Gap with Attention. 1-5 - Nikhil J. Dhinagar, Conor Owens-Walton, Emily Laltoo, Christina P. Boyle, Yao-Liang Chen, Philip A. Cook, Corey McMillan, Chih-Chien Tsai, Jiun-Jie Wang, Yih-Ru Wu, Ysbrand D. van der Werf, Paul M. Thompson:
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection. 1-5 - Gregory Holste, Douwe van der Wal, Hans Pinckaers, Rikiya Yamashita, Akinori Mitani, Andre Esteva:
Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision. 1-5 - Yadan Li, Mohammad Ali Armin, Simon Denman, David Ahmedt-Aristizabal:
Automated Coronary Arteries Labeling Via Geometric Deep Learning. 1-5 - Qingqing Guo, Xianyong Fang, Linbo Wang, Enming Zhang, Zhengyi Liu:
LGANet: Local-Global Augmentation Network for Skin Lesion Segmentation. 1-5 - Xiaoqing Liu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise:
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation. 1-5 - Xinwen Zhang, Chaoyi Zhang, Dongnan Liu, Qianbi Yu, Weidong Cai:
SynthMix: Mixing Up Aligned Synthesis for Medical Cross-Modality Domain Adaptation. 1-5 - Weinan Song, Gaurav Fotedar, Nima Tajbakhsh, Ziheng Zhou, Lei He, Xiaowei Ding:
MDT-Net: Multi-Domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan. 1-5 - Ananya Jana, Ramanathan Arunachalam, Carlos D. Minacapelli, Kaitlyn Catalano, Carlos Catalano, Vinod Rustgi, Dimitris N. Metaxas:
Scale-Aware Multi-Instance Learning for Early Prognosis of Subjects at Risk of Developing Hepatocellular Carcinoma. 1-5 - Alvaro Fernandez-Quilez, Linas Vidziunas, Ørjan Kløvfjell Thoresen, Ketil Oppedal, Svein Reidar Kjosavik, Trygve Eftestøl:
Out-of-Distribution Multi-view auto-Encoders for Prostate Cancer Lesion Detection. 1-5 - Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze:
Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation. 1-5 - Won-Dong Jang, Stanislav Lukyanenko, Donglai Wei, Jiancheng Yang, Brian D. Leahy, Helen Y. Yang, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister:
Multi-Task Curriculum Learning for Partially Labeled Data. 1-5 - Jiangjie Wu, Lixuan Chen, Zhenghao Li, Lihui Wang, Rongpin Wang, Hongjiang Wei, Yuyao Zhang:
ASSURED: A Self-Supervised Deep Decoder Network for Fetus Brain MRI Reconstruction. 1-5 - Leonhard Rist, Oliver Taubmann, Alexander Mühlberg, Felix Denzinger, Florian Thamm, Michael Sühling, Dominik Nörenberg, Julian Walter Holch, Stefan Maurus, Leonie Gebauer, Thomas Huber, Andreas Maier:
Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression. 1-5 - Tochi Oguguo, Ghada Zamzmi, Sivaramakrishnan Rajaraman, Feng Yang, Zhiyun Xue, Sameer K. Antani:
A Comparative Study of Fairness in Medical Machine Learning. 1-5 - Kuaikuai Duan, Rogers F. Silva, Jingyu Liu, Oktay Agcaoglu, Vince D. Calhoun:
Any-Way Independent Component Analysis with Reference. 1-4 - Yu Fu, Yanyan Huang, Shunjie Dong, Yalin Wang, Tianbai Yu, Meng Niu, Cheng Zhuo:
SFCNEXT: A Simple Fully Convolutional Network for Effective Brain Age Estimation with Small Sample Size. 1-5 - Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong:
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks. 1-5 - Kit Mills Bransby, Vincenzo Tufaro, Murat Çap, Greg G. Slabaugh, Christos Bourantas, Qianni Zhang:
3D Coronary Vessel Reconstruction from Bi-Plane Angiography Using Graph Convolutional Networks. 1-5 - David Olivier, Michael J. McGuffin, Catherine Laporte:
Utilizing Sonographer Visual Attention for Probe Movement Guidance in Cardiac Point of Care Ultrasound. 1-5 - Ye Tian, Geoffrey Wu, Srilaxmi Bearelly, Andrew Laine, Kaveri A. Thakoor, Liat Shenhav:
DVT-Net: A Multimodal Deep Vascular Topology Network for Disease Prediction. 1-5 - Derui Li, Yan Hu, Junyong Shen, Luoying Hao, Jiang Liu:
Semi-Supervised Surgical Video Semantic Segmentation with Cross Supervision of Inter-Frame. 1-5 - Andrew Stamper, Abhinav Singh, James McCouat, Irina Voiculescu:
Infant Hip Screening Using Multi-Class Ultrasound Scan Segmentation. 1-4 - Xuetong Wang, Rong Zhou, Kanhao Zhao, Alex D. Leow, Yu Zhang, Lifang He:
Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease. 1-4 - Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Hao Zheng, Peixian Liang, Danny Z. Chen:
A Point in the Right Direction: Vector Prediction for Spatially-Aware Self-Supervised Volumetric Representation Learning. 1-5 - Dipayan Dewan, Anupam Borthakur, Debdoot Sheet:
Attention in a Little Network is All You Need to Go Green. 1-4 - Patty Coupeau, Jean-Baptiste Fasquel, Josselin Demas, Lucie Hertz-Pannier, Mickaël Dinomais:
Detecting Cerebral Palsy in Neonatal Stroke Children: GNN-Based Detection Considering the Structural Organization of Basal Ganglia. 1-4 - Jeff L. Rhoades, Arlo Sheridan, Mukul Narwani, Brian Reicher, Mark Larson, Shuhan Xie, Tri Nguyen, Aaron T. Kuan, Alexandra Pacureanu, Wei-Chung Allen Lee, Jan Funke:
Unpaired Image Enhancement for Neurite Segmentation in x-ray Tomography. 1-5 - Yang Qin, Liting Wang, Lei Guo, Junwei Han, Xintao Hu:
Selective Visual Attention Revealed by Integrating FMRI and Eye-Tracking. 1-5 - Qiang Liu, Jun Shi, Liang Qiao, Ziqi Zhu, Hong An, Minfan Zhao:
FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images. 1-5 - Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun:
Identifying Neuropsychiatric Disorder Subtypes and Subtype-Dependent Variation in Diagnostic Deep Learning Classifier Performance. 1-4 - Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun:
MultiViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data. 1-5 - William Trung Le, Chulmin Bang, Philippine Cordelle, Daniel Markel, Phuc Felix Nguyen-Tan, Houda Bahig, Samuel Kadoury:
Prediction of Head and Neck Radiotherapy Toxicity Using a Deformable 3D CNN on Longitudinal Daily CBCT Acquisitions. 1-5 - Suemin Jeon, Kanggeun Lee, Won-Ki Jeong:
Undersampled MRI Reconstruction Using Switchable Interdependent Self-Cooperative Learning Without Paired Training Data. 1-5 - Sifan Song, Jinfeng Wang, Fengrui Cheng, Qirui Cao, Yihan Zuo, Yongteng Lei, Ruomai Yang, Chunxiao Yang, Frans Coenen, Jia Meng, Kang Dang, Jionglong Su:
A Robust Framework of Chromosome Straightening With Vit-Patch Gan. 1-5 - Moxin Zhao, Nan Meng, Jason Pui Yin Cheung, Teng Zhang:
PCT-GAN: A Real CT Image Super-Resolution Model for Trabecular Bone Restoration. 1-5 - Yanzhou Su, Changjian Deng, Zhongying Deng, Jin Ye, Junjun He, Jian Cheng:
Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use. 1-5 - Xiaozhao Liu, Mianxin Liu, Lang Mei, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen:
Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. 1-5 - Roman Spilger, Ji Young Lee, Minh Tu Pham, Ralf Bartenschlager, Karl Rohr:
Deep Learning Method for Probabilistic Particle Detection and Tracking in Fluorescence Microscopy Images. 1-4 - Minhui Tang, Yu Fang, Lei Ma, Yu Zhang, Zhiming Cui, Dinggang Shen:
Dental Anatomy Segmentation from Cone Beam CT Images. 1-4 - Yekta Kesenci, Aleix Boquet-Pujadas, Michael Unser, Jean-Christophe Olivo-Marin:
Probing Intracellular Elasticity with Minimal-Hessian Registration. 1-5 - Mehdi Shekarnabi, Touria Ahaouari, Jean-Christophe Richard, Sam Bayat, Maciej Orkisz:
CT Registration-Derived Biomarkers of Recruitability in Ards. 1-5 - Yuhan Zhang, Ziqi Tang, Dawei Yang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng:
LVCL: Label-Volume Contrastive Learning for Multi-Label Classification of Retinal Oct Volumes. 1-5 - Mathieu Leclercq, Antonio C. Ruellas, Marcela Gurgel, Marilia Yatabe, Jonas Bianchi, Lucia H. S. Cevidanes, Martin Styner, Beatriz Paniagua, Juan Carlos Prieto:
Dentalmodelseg: Fully Automated Segmentation of Upper and Lower 3D Intra-Oral Surfaces. 1-5 - Shengyuan Liu, Mengjie Fang, Di Dong, Wenting Shang, Jie Tian:
Multi-task Residual Cross-attention Network for Tumor Segmentation and Lymph Node Metastasis Prediction in Cervical Cancer. 1-5 - Jana Osstyn, Femke Danckaers, Annemieke Van Haver, José Oramas, Matthias Vanhees, Jan Sijbers:
Automated Virtual Reduction of Displaced Distal Radius Fractures. 1-4 - Yihan Wu, Ali Gholipour, Lana Vasung, Davood Karimi:
A Computational Framework for Characterizing Normative Development of Structural Brain Connectivity in the Perinatal Stage. 1-5 - Rosana El Jurdi, Olivier Colliot:
How Precise are Performance Estimates for Typical Medical Image Segmentation Tasks? 1-5 - Priscille de Dumast, Meritxell Bach Cuadra:
Domain Generalization in Fetal Brain MRI Segmentation with Multi-Reconstruction Augmentation. 1-5 - Hari Om Aggrawal, Dipam Goswami, Vinti Agarwal:
Bounding Box Priors for Cell Detection with Point Annotations. 1-4 - Lanhong Yao, Zheyuan Zhang, Ulas Bagci:
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation. 1-5 - Ligang Fan, Yun Bian, Weifang Zhu, Fei Shi, Xinjian Chen, Chengwei Shao, Dehui Xiang:
Contrast Uncertainty Domain Alignment for Cross-Domain Pancreatic Image Segmentation. 1-5 - Natalia Valderrama, Ioannis Pitsiorlas, Luisa Vargas, Pablo Arbeláez, Maria A. Zuluaga:
Job-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images. 1-5 - Yuki Shigeyasu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Ryoma Bise:
Spatial Distribution-Based Pseudo Labeling for Pathological Image Segmentation. 1-5 - Ryan P. Cabeen, Joseph Mandeville, Fahmeed Hyder, Basavaraju G. Sanganahalli, Daniel R. Thedens, Ali S. Arbab, Shuning Huang, Adnan Bibic, Erendiz Tarakci, Jelena Mihailovic, Andreia Morais, Jessica Lamb, Karisma Nagarkatti, Arthur W. Toga, Patrick Lyden, Cenk Ayata:
Computational Image-Based Stroke Assessment for Evaluation of Cerebroprotectants with Longitudinal and Multi-Site Preclinical MRI. 1-5 - Yunjie Chen, Marius Staring, Jelmer M. Wolterink, Qian Tao:
Local Implicit Neural Representations for Multi-Sequence MRI Translation. 1-5 - Ivan Coronado, Samiksha Pachade, H. Dawoodally, Sergio Salazar Marioni, Juntao Yan, Rania Abdelkhaleq, M. Bahrainian, Amanda Jagolino-Cole, Roomasa Channa, Sunil A. Sheth, Luca Giancardo:
Foveal Avascular Zone Segmentation Using Deep Learning-Driven Image-Level Optimization and Fundus Photographs. 1-5 - Cheng Tang, Xinyi Zeng, Luping Zhou, Xi Wu, Jiliu Zhou, Peng Wang, Yan Wang:
Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation. 1-4 - Fuxin Fan, Yangkong Wang, Ludwig Ritschl, Ramyar Biniazan, Marcel Beister, Björn W. Kreher, Yixing Huang, Steffen Kappler, Andreas Maier:
Metal-conscious Embedding for CBCT Projection Inpainting. 1-5 - Zijian Chen, Soumya Das, Moo K. Chung:
Sulcal Pattern Matching with the Wasserstein Distance. 1-5 - Xirang Zhang, Yongyi Yang, P. Hendrik Pretorius, Michael A. King:
Assessment of Deep-Learning Based Motion Compensation on Detection of Perfusion Defects in Cardiac-Gated SPECT Images. 1-4 - Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai:
A Registration- and Uncertainty-Based Framework for White Matter Tract Segmentation with Only One Annotated Subject. 1-5 - Peng Jin, Yin-Ting Yeh, Jiarong Ye, Ziyang Wang, Yuan Xue, Na Zhang, Shengxi Huang, Elodie Ghedin, Huaguang Lu, Anthony Schmitt, Sharon X. Huang, Mauricio Terrones:
Strain-Level Identification and Analysis of Avian Coronavirus Using Raman Spectroscopy and Interpretable Machine Learning. 1-5 - Tuan D. Pham, Xiao-Feng Sun:
Wavelet Scattering of RhoB-Expressed Deep-Learning Features for Rectal Cancer Prognosis. 1-4 - Jiayang Zhong, Lawrence H. Staib, Rajesh Venkataraman, John A. Onofrey:
Integrating Prostate Specific Antigen Density Biomarker Into Deep Learning Prostate MRI Lesion Segmentation Models. 1-5 - Dónal M. McSweeney, Paul A. Bromiley, Andrew Green, Marcel van Herk, Alan McWilliam:
Fusion Contours as a Source of Segmentation Training Data: A Simulation Study. 1-6 - Aurélie Lebrun, Michel Bottlaender, Marie Sarazin, Yann Leprince:
Comparison between Synb0-Disco and Fieldmap-Based Methods to Correct for Distortion Artifacts in Diffusion MRI. 1-5 - Mahmood Haithami, Amr Ahmed, Iman Yi Liao, Hamid Abdullah Jalab:
Enhancing Polyp Segmentation Generalizability by Minimizing Images' Total Variation. 1-5 - Robail Yasrab, Mohammad Alsharid, Md. Mostafa Kamal Sarker, He Zhao, Aris T. Papageorghiou, J. Alison Noble:
Automated Description and Workflow Analysis of Fetal Echocardiography in First-Trimester Ultrasound Video Scans. 1-5 - Laifa Ma, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, He Zhang, Kenli Li, Gang Li:
Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images. 1-5 - Dalia Rodríguez-Salas, Mathias Öttl, Mathias Seuret, Kai Packhäuser, Andreas Maier:
Using Forestnets for Partial Fine-Tuning Prior to Breast Cancer Detection in Ultrasounds. 1-5 - Yikun Jiang, Xiaoru Yuan, Yuru Pei:
Spatially-Consistent Implicit Volumetric Function for Uni- and Bi-Planar X-Ray-Based Computed Tomography Reconstruction. 1-5 - Javier Bóbeda, Haizea Erostarbe, Maialen Stephens, Ángel Gaitán, Rahul Kumar, Jorge Nuche, Irene Marco, Juan Delgado, Jesús Ruiz-Cabello, Karen López-Linares:
Automatic Tool for Pulmonary Artery Hemodynamic Assessment from 4D flow MRI. 1-5 - Sze-Nung Leung, Jason A. Dowling, Jurgen Fripp, Kai-Kai Shen, Shekhar S. Chandra:
Medical Shape Pattern Analysis with MeshCNN. 1-5 - Fengjun Zhao, Yongfeng Chen, Kaiming Huang, Xiaowei He, Xin Chen, Yuqing Hou:
Semi-BGSegNet: A Semi-Supervised Boundary-Guided Breast Tumor Segmentation Network. 1-5 - Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang:
Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. 1-5 - Sheng Chen, Zihao Tang, Dongnan Liu, Ché Fornusek, Michael Barnett, Chenyu Wang, Mariano Cabezas, Weidong Cai:
Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI. 1-5 - Yizhe Zhang, Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen:
GrNT: Gate-Regularized Network Training for Improving Multi-Scale Fusion in Medical Image Segmentation. 1-5 - Penghua Zhai, Enwei Zhu, Xin Wei, Jinpeng Li:
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions. 1-5 - Jie Wei, Guotai Wang:
Fine-Grained Out-of-Distribution Detection of Medical Images using Combination of Feature Uncertainty and Mahalanobis Distance. 1-5 - Qing Zou, Sarv Priya, Prashant Nagpal, Mathews Jacob:
Deep Generative Model for Joint Cardiac T1 Mapping and Cardiac Cine. 1-4 - Lixin Zhang, Yulun Sun, Pierre Decazes, Su Ruan, Yu Guo, Hui Yu:
One-shot Learning for DLBCL Segmentation in Whole Body PET/CT Images. 1-4 - Ruiling Xi, Yinglin Zhang, Ruibin Bai, Risa Higashita, Jiang Liu:
SC-GAN: Structure Consistent GAN for Modality Transfer with FFT and Multi-Scale Perception. 1-5 - Yinghao Zhang, Peng Li, Yue Hu:
Dynamic Mri Using Learned Transform-Based Tensor Low-Rank Network (LT2LR-NET). 1-4 - Yingdi Zhang, Zelin Shi, Huan Wang, Shaoqian Cui, Lei Zhang, Lanbo Wang, Jiachen Liu, Xiuqi Shan, Yunpeng Liu, Shuhang Wu, Jinmiao Zhao:
Automatic Segmentation of Lumbar Vertebra Anatomical Region Based on Hybrid Swin-Transformer Network. 1-5 - A. Refeay, Ramsey D. Badawi:
Digital Upgrade of a PSPMT-based Pet Detector for High Resolution Pre-Clinical Application. 1-4 - Ketan Fatania, Kwai Y. Chau, Carolin M. Pirkl, Marion I. Menzel, Mohammad Golbabaee:
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. 1-4 - Sanjay Ghosh, Eshan Bhargava, Chieh-Te Lin, Srikantan S. Nagarajan:
Graph Convolutional Learning of Multimodal Brain Connectome Data for Schizophrenia Classification. 1-5 - Lucía Cubero, J. Serrano, Joël Castelli, Renaud de Crevoisier, Oscar Acosta, Javier Pascau:
Exploring Uncertainty for Clinical Acceptability in Head and Neck Deep Learning-Based OAR Segmentation. 1-4 - Zhe Wang, Aladine Chetouani, Rachid Jennane:
A Siamese-based Network for the Detection of Osteopenia in Paediatric Digital X-rays of the Wrist. 1-4 - Peng Jiang, Juan Liu, Yuqi Chen, Hongyu Dong, Hua Chen, Baochuan Pang, Dehua Cao:
Medical Knowledge Guided Intra-Specimen Reference Network for Cervical Cell Classification. 1-5 - Alexandre Bouyssoux, Riadh Fezzani, Jean-Christophe Olivo-Marin:
Ensemble Multiple Instance Learning for Bladder Cancer Diagnosis. 1-5 - Hazhar Sufi Karimi, Lipeng Ning, Yogesh Rathi:
A Deep-Learning Framework for Estimating the Posterior Distribution of the Standard Model of Diffusion Mri. 1-4 - Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Xinrui Yuan, Yue Sun, Weili Lin, Li Wang, Xin Zhang, Gang Li:
Deformable Spherical Transformer for Cerebellar Surface Parcellation. 1-5 - Pedro Diogo, Margarida Morais, Francisco Maria Calisto, Carlos Santiago, Clara Aleluia, Jacinto C. Nascimento:
Weakly-Supervised Diagnosis and Detection of Breast Cancer Using Deep Multiple Instance Learning. 1-4 - Liming Wu, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Three-Dimensional Nuclei Synthesis for Fluorescence Microscopy Image Analysis. 1-5 - Saadat Ullah Khan, Muhammad Majid, Syed Muhammad Anwar:
Motor Imagery Classification Using EEG Spectrograms. 1-5 - Shota Harada, Ryoma Bise, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Seiichi Uchida:
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification. 1-5 - Jean-Christophe Fillion-Robin, Aaron Bray, Jared Vicory, Rachel B. Clipp, Guilherme J. M. Garcia, John S. Rhee, Andinet Enquobahrie:
An Integrated Virtual Surgical Planning System for Nasal Airway Obstruction. 1-5 - Shumpei Takezaki, Kiyohito Tanaka, Seiichi Uchida, Takeaki Kadota:
Disease Severity Regression with Continuous Data Augmentation. 1-5 - Satheshkumar Kaliyugarasan, Magnhild H. Dagestad, Evin I. Papalini, Erling Andersen, John-Anker Zwart, Helena Brisby, Hanna Hebelka, Ansgar Espeland, Kerstin M. Lagerstrand, Alexander Selvikvåg Lundervold:
Multi-Center CNN-Based Spine Segmentation from T2W MRI Using Small Amounts of Data. 1-5 - Yuanming Lin, Heng Li, Haofeng Liu, Hai Shu, Zinan Li, Yan Hu, Jiang Liu:
Domain Adaptative Retinal Image Quality Assessment with Knowledge Distillation Using Competitive Teacher-Student Network. 1-5 - Yi Lv, Weibin Liao, Wenjin Liu, Zhensen Chen, Xuesong Li:
A Deep-Learning-Based Framework for Automatic Segmentation and Labelling of Intracranial Artery. 1-5 - Brett Levac, Ajil Jalal, Jonathan I. Tamir:
Accelerated Motion Correction for MRI Using Score-Based Generative Models. 1-5 - Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger:
Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology. 1-5 - Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel:
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data. 1-5 - Firas Khader, Gustav Müller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Jakob Nikolas Kather, Johannes Stegmaier, Sven Nebelung, Daniel Truhn:
Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection. 1-5 - Zimeng Tan, Jianjiang Feng, Wangsheng Lu, Yin Yin, Guangming Yang, Jie Zhou:
Adversarial Learning Framework for Cerebrovascular Landmark Detection Using Cross-Modality Information. 1-5 - Ziping Chu, Sonit Singh, Arcot Sowmya:
TSDNET: A Tumour Segmentation Network with 3D Direction-Wise Convolution. 1-5 - Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi:
Evidence Dictionary Network Using Multiple Instance Contrastive Learning for Explainable Pathological Image Analysis. 1-5 - Yinsong Wang, Huaqi Qiu, Chen Qin:
Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization. 1-5 - Love Nordling, Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration. 1-5 - Anqi Feng, Yuan Xue, Yuli Wang, Chang Yan, Zhangxing Bian, Muhan Shao, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince:
Label Propagation Via Random Walk for Training Robust Thalamus Nuclei Parcellation Model from Noisy Annotations. 1-5 - Qing Zou, Sanja Dzelebdzic, Tarique Hussain:
Deep Kernel Method for Dynamic MRI Reconstruction. 1-4 - Youcheng Wang, Zhe Zheng, Na Ni, Guoqing Tong, Nuo Cheng, Kai Li, Ping Yin, Yuanyuan Chen, Yingna Wu, Guangping Xie:
Multimodal Representation Learning for Blastocyst Assessment. 1-5 - Biozid Bostami, Mukesh Dhamala, Tülay Adali, Vince D. Calhoun, Armin Iraji:
Spatial Dynamic Propagation of Network Activity in Resting fMRI Data. 1-4 - Yanzhou Su, Qingsong Xie, Jin Ye, Junjun He, Jian Cheng:
An Accurate Polyp Segmentation Framework via Feature Secondary Fusion. 1-5 - Aniket Pramanik, Mathews Jacob:
Accelerated Parallel MRI Using Memory Efficient and Robust Monotone Operator Learning (MOL). 1-4 - Lukas Folle, Pauline Fenzl, Filippo Fagni, Mareike Thies, Vincent Christlein, Christine Meder, Michael Sticherling, David Simon, Georg Schett, Andreas Maier, Arnd Kleyer:
Deepnapsi: Deep Learning for Nail Psoriasis Prediction. 1-5 - Yulun Zhang, Donglai Wei, Richard Schalek, Yuelong Wu, Stephen G. Turney, Jeff Lichtman, Hanspeter Pfister, Yun Fu:
High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network. 1-5 - Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan:
Deep Learning for Predicting Metastasis on Melanoma Wsis. 1-5 - Jun Shi, Xinyu Zhu, Yuan Zhang, Yushan Zheng, Zhiguo Jiang, Liping Zheng:
Cervical Cell Classification Using Multi-Scale Feature Fusion and Channel-Wise Cross-Attention. 1-5 - Jeronimo Carvajal Maldonado, Lorenz Lamm, Ye Liu, Yu Liu, Ricardo D. Righetto, Julia A. Schnabel, Tingying Peng:
F2FD: Fourier Perturbations for Denoising Cryo-Electron Tomograms and Comparison to Established Approaches. 1-5 - Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna:
Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation. 1-6 - Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang:
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation. 1-4 - Bei Li, Guanping Xu, Dongfang Shen, Song Zheng, Jianhui Chen, Yinran Chen, Xiongbiao Luo:
A Densely Connected Attention Spatiotemporal U-Net for Kidney and Renal Artery Segmentation in CT Images. 1-5 - Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan:
Structural Constrained Virtual Histology Staining for Human Coronary Imaging Using Deep Learning. 1-5 - Mariam M. Fouad, Georg Schmitz:
Synthetic Ultrasound Signal-Pairs Generation using Gans. 1-5 - Morgane Des Ligneris, Axel Bonnet, Yohan Chatelain, Tristan Glatard, Michaël Sdika, Gaël Vila, Valentine Wargnier-Dauchelle, Sorina Camarasu-Pop, Carole Frindel:
Reproducibility of Tumor Segmentation Outcomes with a Deep Learning Model. 1-5 - Diego Bravo, Josué Ruano, María Jaramillo, Daniel Gallego, Martín Gómez, Fabio A. González, Eduardo Romero:
Automatic Classification of Esophagogastroduodenoscopy Sub-Anatomical Regions. 1-5 - Zahra Hafezi Kafshgari, Chamani Shiranthika, Parvaneh Saeedi, Ivan V. Bajic:
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations. 1-5 - Shaofeng Yuan, Feng Yang:
CSDN: Combining Shallow and Deep Networks for Accurate Real-Time Segmentation of High-Definition Intravascular Ultrasound Images. 1-5 - Zeli Chen, Chuanpu Li, Kaiyi Zheng, Yiwen Zhang, Yuankui Wu, Qianjin Feng, Liming Zhong, Wei Yang:
GLFA-NET: A Hybrid Network for Mr-To-Ct Synthesis Via Global and Local Feature Aggregation. 1-5 - Xu Lu, Hee Guan Khor, Yihua Sun, Xinran Zhang, Hongen Liao:
ANR-NET: Attention-Guided Non-Local Residual Network for Thyroid Segmentation in Ultrasound Image. 1-5 - Hao Zheng, Hongming Li, Yong Fan:
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images. 1-4 - Pierre-Antoine Comby, Zaineb Amor, Alexandre Vignaud, Philippe Ciuciu:
Denoising of fMRI Volumes Using Local Low Rank Methods. 1-5 - Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng:
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. 1-4 - Jie Zeng, Zeyu Han, Xingchen Peng, Jianghong Xiao, Peng Wang, Yan Wang:
Polymerized Feature-Based Domain Adaptation for Cervical Cancer Dose Map Prediction. 1-4 - Xinhui Li, Daniel Khosravinezhad, Vince D. Calhoun, Rogers F. Silva:
Evaluating Trade-Offs in IVA of Multimodal Neuroimaging using Cross-Platform Multidataset Independent Subspace Analysis. 1-5 - Seunghun Baek, Injun Choi, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim:
Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification. 1-5 - Vito Paolo Pastore, Larbi Touijer, Niccolò Capurro, Emanuele Cozzani, Giulia Gasparini, Aurora Parodi, Francesca Odone:
Incorporating Diagnostic Prior with Segmentation: A Deep Learning Pipeline for the Automatic Classification of Autoimmune Bullous Skin Diseases. 1-5 - Xiaoqing Liu, Kenji Ono, Ryoma Bise:
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation. 1-5 - Juntao Jiang, Xiyu Chen, Guanzhong Tian, Yong Liu:
ViG-UNet: Vision Graph Neural Networks for Medical Image Segmentation. 1-5 - Florian Kofler, Johannes Wahle, Ivan Ezhov, Sophia J. Wagner, Rami Al-Maskari, Emilia Gryska, Mihail I. Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Ertürk, Daniel Rueckert, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud:
Approaching Peak Ground Truth. 1-6 - Xinzhao Liu, Yueyi Zhang, Shenglong Zhou, Zhiwei Xiong, Xiaoyan Sun:
Electron Microscopy Image Registration Using Correlation Volume. 1-5 - Zexin Li, Yiyang Lin, Yifeng Wang, Zijie Fang, Hao Bian, Runze Hu, Xiu Li, Yongbing Zhang:
ST-MKSC: The FF-FFPE Stain Transfer Based on Multiple Key Structure Constraint. 1-5 - Daniel Capellán-Martín, Juan J. Gomez-Valverde, David Bermejo-Peláez, María J. Ledesma-Carbayo:
A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection. 1-5 - Samuel Tonks, Chih-Yang Hsu, Steve Hood, Ryan Musso, Ceridwen Hopely, Steve Titus, Alexander Krull, Minh Doan, Iain B. Styles:
Evaluating virtual staining for high-throughput screening. 1-5 - Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakus, Marco Allinovi, Alin Achim:
A Semi-Supervised Learning Approach for B-Line Detection in Lung Ultrasound Images. 1-5 - Mathias Öttl, Jana Steenpass, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger:
Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks. 1-5 - João B. S. Carvalho, Carlos Cotrini, Fabian Laumer, André Euler, Katharina Martini, Thomas Frauenfelder, Joachim M. Buhmann:
Domain Generalization for Diagnosis of Pulmonary Fibrosis Using Dose-Invariant Feature Selection. 1-5 - Ninad Khargonkar, Beatriz Paniagua, Jared Vicory:
Skeletal Point Representations with Geometric Deep Learning. 1-5 - Yuanhao Gong, Wanlin Huang, Wenhui Wu:
Removing Scattered Light in Biomedical Images. 1-5 - Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef:
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. 1-5 - Mac Golub, Carlos Santiago, C. Baleia, Pedro Lopes, Alfredo Ferreira, Rita Gouveia Nunes, Jacinto C. Nascimento:
Convolutional Siamese Networks for Myocardial Lesion Classification in T1 Maps. 1-4 - Rubén D. Fonnegra, Liliana M. Hernández, Juan C. Caicedo, Gloria M. Díaz:
Early-to-Late Prediction of DCE-MRI Contrast-Enhanced Images in Using Generative Adversarial Networks. 1-5 - I. Sharaby, Ahmed Alksas, A. Nashat, Hossam Magdy Balaha, Mohamed Shehata, M. Gayhart, Ali Mahmoud, Mohammed Ghazal, Ashraf Khalil, Rasha T. Abouelkheir, Ahmed Elmahdy, A. Abdelhalim, A. Mosbah, Ayman El-Baz:
An AI-Based CAP Framework for Wilms' Tumor Preoperative Chemotherapy Susceptibility. 1-4 - Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas Maier:
On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting. 1-5 - Bin Duan, Jianfeng Cao, Wei Wang, Dawen Cai, Yan Yan:
Cell Instance Segmentation VIA Multi-Scale Non-Local Correlation. 1-5 - Mustafa S. Salman, Armin Iraji, Noah Lewis, Vince D. Calhoun:
Topological Characteristics of 5d Spatially Dynamic Brain Networks in Schizophrenia. 1-5 - Caiwen Jiang, Yongsheng Pan, Dinggang Shen:
TriDoRNet: Reconstruction of Standard-Dose Pet from Low-Dose Pet in Triple (Projection, Image, and Frequency) Domains. 1-5 - Tareen Dawood, Emily Chan, Reza Razavi, Andrew P. King, Esther Puyol-Antón:
Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training. 1-5 - Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian:
Enhanced Sharp-Gan for Histopathology Image Synthesis. 1-5 - Snigdha Agarwal, Neelam Sinha:
Intracranial Hemorrhage Detection and Category Classification Using Attention Aware Pure Convnets. 1-5 - Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas Maier:
Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples. 1-5 - Anjany Sekuboyina, Jannik Irmai, Suprosanna Shit, Jan Kirschke, Bjoern Andres, Bjoern H. Menze:
Pushing the Limits of an FCN and A CRF Towards Near-Ideal Vertebrae Labelling. 1-5 - Lu Zhang, Xiaowei Yu, Yanjun Lyu, Tianming Liu, Dajiang Zhu:
Representative Functional Connectivity Learning for Multiple Clinical Groups in Alzheimer's Disease. 1-5 - Kay Lächler, Hélène Lajous, Michael Unser, Meritxell Bach Cuadra, Pol del Aguila Pla:
Self-Supervised Isotropic Superresolution Fetal Brain MRI. 1-5 - Kevin Freire, Javad Alirezaie, Paul S. Babyn:
Multi-Scale Dilation with Residual Fused Attention Network for Low Dose CT Noise Artifact Reductions. 1-4 - Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Bo Peng, Hua Huang, Yang Xiang, Ting Ma:
Accelerating Diffusion Models Via Pre-Segmentation Diffusion Sampling for Medical Image Segmentation. 1-5 - Ishaan Batta, Anees Abrol, Vince D. Calhoun:
A Multimodal Deep Learning Approach for Automated Detection and Characterization of Distinctly Salient Features of Alzheimers Disease. 1-4 - Stefan B. Ploner, Jungeun Won, Julia Schottenhamml, Jessica Girgis, Kenneth Lam, Nadia Waheed, James G. Fujimoto, Andreas Maier:
A Spatiotemporal Illumination Model for 3d Image Fusion in Optical Coherence Tomography. 1-5 - Jie Zhou, Biao Jie, Zhengdong Wang, Zhixiang Zhang, Weixin Bian, Yang Yang:
Local Sequential Features Coupling Global Representation of Dynamic Functional Connectivity Network for Brain Disease Classification. 1-5 - Xiao Xu, Yuqian Chen, Leo R. Zekelman, Yogesh Rathi, Nikos Makris, Fan Zhang, Lauren J. O'Donnell:
Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method. 1-4 - Chang Liu, Felix Denzinger, Lukas Folle, Jingna Qiu, Laura Klein, Joscha Maier, Marc Kachelriess, Michael Lell, Andreas Maier:
Whole-Body Multi-Organ Segmentation Using Anatomical Attention. 1-5 - Shanshan Song, Jiangyun Li, Jing Wang, Yuanxiu Cai, Wenkai Dong:
MF2-MVQA: A Multi-Stage Feature Fusion Method for Medical Visual Question Answering. 1-5 - María F. Peñuela, Luisa Vargas, Santiago Usma, María Escobar, Angela Castillo, Pablo Arbeláez:
FeST: Learning Spatio-Temporal Priors for Fetal Brain MRI Segmentation. 1-5 - Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen:
Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis. 1-5 - Erum Mushtaq, Yavuz Faruk Bakman, Jie Ding, Salman Avestimehr:
Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging. 1-5 - Jiong Wu, Yong Fan:
HNAS-Reg: Hierarchical Neural Architecture Search for Deformable Medical Image Registration. 1-4 - Abdoljalil Addeh, Karen Ardila, Fernando Vega, Ali Golestani, M. Ethan MacDonald:
Limitations Of the Derived Respiratory Variation Measurements Used in Functional Magnetic Resonance Imaging. 1-5 - Henok Ghebrechristos, Stence Nicholas, David Mirsky, Manh Huynh, Zackary Kromer, Ligia Batista, Gita Alaghband, Brent O'Neill, Steven Moulton, Daniel M. Lindberg:
Deep Learning Mixture-of-Experts for Cytotoxic Edema Assessment in Infants and Children. 1-5 - Xilun Liu, Mohamed Almekkawy:
Full Wave Inversion For Ultrasound Tomography Using Physics Based Deep Neural Network. 1-4 - Chen Qian, Zi Wang, Xinlin Zhang, Qingrui Cai, Taishan Kang, Boyu Jiang, Ran Tao, Zhigang Wu, Di Guo, Xiaobo Qu:
Physics-informed Deep Diffusion MRI Reconstruction: Break the Bottleneck of Training Data in Artificial Intelligence. 1-5 - Emmanuelle Richer, Marissé Masís Solano, Farida Cheriet, Mark R. Lesk, Santiago Costantino:
Noise-Free One-Cardiac-Cycle Oct Videos for Local Assessment of Retinal Tissue Deformation. 1-5 - Amir Jamaludin, Sarim Ather, Timor Kadir, Rhydian Windsor:
Contouring by Unit Vector Field Regression. 1-5 - Jiarui Xing, Shuo Wang, Kenneth C. Bilchick, Amit R. Patel, Miaomiao Zhang:
Joint Deep Learning for Improved Myocardial Scar Detection from Cardiac MRI. 1-5 - Qianhui Men, He Zhao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Towards Standard Plane Prediction of Fetal Head Ultrasound with Domain Adaption. 1-5 - Lior Frenkel, Jacob Goldberger:
Calibration of A Regression Network Based on the Predictive Variance with Applications to Medical Images. 1-5 - Charissa Poon, Muhammad Febrian Rachmadi, Michal Byra, Matthias Schlachter, Binbin Xu, Tomomi Shimogori, Henrik Skibbe:
An Automated Pipeline to Create an Atlas of in Situ Hybridization Gene Expression Data in the Adult Marmoset Brain. 1-5 - Chaoran Zhang, Ming Zhao, Yixuan Xie, Ming Ma, Kaiwen Guo, Rui Ding, Hongzhen Jiang, Wei Xi, Likun Xia:
Rescon-Net: Transfer Learning Based Nested Model for Cerebrovascular Segmentation with Aneurysm. 1-5 - Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada:
Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images. 1-5 - Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography. 1-5 - Guochen Ning, Hanying Liang, Fang Chen, Xinran Zhang, Hongen Liao:
Doppler Image-Based Weakly-Supervised Vascular Ultrasound Segmentation with Transformer. 1-5 - Léo Lebrat, Rodrigo Santa Cruz, Reuben Dorent, Javier Urriola Yaksic, Alex M. Pagnozzi, Gregg Belous, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. 1-5 - Jiawei Zhang, Shuojia Zou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Wei Qian, Hongzan Sun, Marcin Grzegorzek, Guojun Wang:
TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos. 1-5 - Huangjian Yi, Sheng Zhong, Dizhen Kang, Hongbo Guo, Yuqing Hou, Jingjing Yu, Xiaowei He:
Variable Step-Size Fast Iterative Shrinkage Thresholding Algorithm for Fluorescence Molecular Tomography. 1-5 - Corentin Ambroise, Antoine Grigis, Edouard Duchesnay, Vincent Frouin:
Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars: Application to the HBN Cohort. 1-5 - Jing Liang, Yingxue Yao, Xin Zhang, Jieling Wu, Xiaofen Xing:
Bi-Emotional Siamese Network for MDD Recognition. 1-5 - Yuheng Lu, Yue Cui, Liang Ma, Wen Li, Linzhong Fan, Tianzi Jiang:
An Individualized Cortical Mapping of Macaque Brain Using Fusion Joint Embedding. 1-5 - Agustina Fragueiro, Giorgia Committeri, Claire Cury:
Incomplete Hippocampal Inversion and Hippocampal Subfield Volumes: Implementation and Inter-Reliability of Automatic Segmentation. 1-5 - Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guangyu Wu, Guiqin Liu, Dinggang Shen:
Location-Guided Multi-Modality Collaborative Learning for Prostate Tumor Segmentation. 1-4 - Jiaxiang Liu, Tianxiang Hu, Yang Feng, Wanghui Ding, Zuozhu Liu:
Toothsegnet: Image Degradation Meets Tooth Segmentation in CBCT Images. 1-5 - Xinyu Guo, Zhouqian Wang, Huaying Hao, Qinxiang Zheng, Jiong Zhang, Wei Chen, Yitian Zhao:
Structure Constrained Diffusion Models for Pterygium Segmentation. 1-5 - Amith Kamath, Robert Poel, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes:
How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation? 1-4 - Shikha Tripathi, Pietro Mattioli, C. Liguori, A. Chiaravalloti, Dario Arnaldi, Luca Giancardo:
Brain Hemisphere Dissimilarity, a Self-Supervised Learning Approach for alpha-synucleinopathies prediction with FDG PET. 1-5 - Haojin Li, Heng Li, Hai Shu, Jianyu Chen, Yan Hu, Jiang Liu:
Self-Supervision Boosted Retinal Vessel Segmentation for Cross-Domain Data. 1-5 - Shaoyan Pan, Yiqiao Liu, Sarah Halek, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen:
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. 1-5 - Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra:
Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis. 1-5 - Chunlun Xiao, Anqi Zhu, Chunmei Xia, Yuanlin Liu, Zifeng Qiu, Qiao Wang, Weiwei Ren, Dandan Shan, Tianfu Wang, Lehang Guo, Baiying Lei:
Dual-Branch Multimodal Fusion Network for Skin Lesions Diagnosis using Clinical and Ultrasound Image. 1-4 - Felix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier, Katharina Breininger:
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. 1-5 - Meiby Ortiz-Bouza, Selin Aviyente:
Attributed Graph Clustering for Functional Connectivity Networks. 1-5 - Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen:
Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans. 1-4 - Zhuxian Guo, Qitong Wang, Henning Müller, Themis Palpanas, Nicolas Loménie, Camille Kurtz:
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Images of Hepatocellular Carcinoma. 1-5 - Qing Wu, Xin Li, Hongjiang Wei, Jingyi Yu, Yuyao Zhang:
Joint Rigid Motion Correction and Sparse-View CT via Self-Calibrating Neural Field. 1-5 - Weibin Liao, Peirong Jiang, Yi Lv, Yunjing Xue, Zhensen Chen, Xuesong Li:
MCRLe: Multi-Modal Contrastive Representation Learning For Stroke Onset Time Diagnosis. 1-5 - Lenka Backová, Guillermo Bengoetxea, Svana Rogalla, Daniel Franco-Barranco, Jérôme Solon, Ignacio Arganda-Carreras:
Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers. 1-5 - Amelia Jiménez-Sánchez, Dovile Juodelyte, Bethany Chamberlain, Veronika Cheplygina:
Detecting Shortcuts in Medical Images - A Case Study in Chest X-Rays. 1-5 - Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Lipei Zhang, Jianguo Zhang, Stephen J. Price, Carola-Bibiane Schönlieb:
Expectation-Maximization Regularised Deep Learning for Tumour Segmentation. 1-5 - Zili Kang, Yifan Lv, Mengshen He, Yiheng Liu, Tianming Liu, Bao Ge:
Brain Surface Can Predict Fiber Connections. 1-4 - Yesid Gutiérrez, Juan A. Olmos, Luis Carlos Guayacán, Fabio Martínez:
A Multimodal Geometric Deep Representation to Support Bi-Parametric Prostate Cancer Lesion Classification. 1-4 - Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi:
TranSOP: Transformer-Based Multimodal Classification for Stroke Treatment Outcome Prediction. 1-5 - Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Dinggang Shen:
Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET. 1-5 - Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas:
Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images. 1-5 - Pallabi Dutta, Sushmita Mitra:
Full-Scale Deeply Supervised Attention Network for Segmenting COVID-19 Lesions. 1-4 - Aswathi Aswathi, Mira Rizkallah, Gauthier Frecon, Clément Bailly, Caroline Bodet-Milin, Olivier Casasnovas, Steven Le Gouill, Françoise Kraeber-Bodéré, Thomas Carlier, Diana Mateus:
Lesion Graph Neural Networks for 2-Year Progression Free Survival Classification of Diffuse Large B-Cell Lymphoma Patients. 1-5 - Sijing Liu, Qilong Ying, Shuangchi He, Xin Yang, Dong Ni, Ruobing Huang:
Hierarchical Agent-Based Reinforcement Learning Framework for Automated Quality Assessment of Fetal Ultrasound Video. 1-5 - Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Ankita Joshi, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam:
PA-GAN: Parallel Attention Based Gan for Enhancement of FODF. 1-5 - Chloé Gomez, Jordy Tasserie, Lynn Uhrig, Béchir Jarraya, Antoine Grigis:
Exploration of the Neural Correlates of Consciousness Using Linear Latent Model. 1-5 - Jing Zhang, Yingpeng Xie, Dandan Sun, Ruidong Huang, Tianfu Wang, Baiying Lei, Kuntao Chen:
Multi-national COVID-19 CT Image-label Pairs Synthesis via Few-Shot GANs Adaptation. 1-4 - Zhiyuan Ding, Wenjing Lu, Ling Wang, Xiangzhu Zeng, Tong Zhao, Xu Tian, Zeng Wang, Yan Liu:
Voxel-Level fMRI Analysis by Representation Learning and Deep Clustering for Alzheimer's Disease. 1-5 - Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. 1-5 - Qisheng He, Ming Dong, Nicholas Summerfield, Carri Glide-Hurst:
MAGNET: A Modality-Agnostic Network for 3d Medical Image Segmentation. 1-5 - Shiqi Hu, Md. Murad Hossain, Xiaoyue Li, Elisa E. Konofagou:
Lesion Size Assessment on Multi-Frequency Single Transducer-Harmonic Motion Imaging Using Convolutional Neural Network. 1-4 - Yingyu Chen, Ziyuan Yang, Chenyu Shen, Zhiwen Wang, Yang Qin, Yi Zhang:
EVIL: Evidential Inference Learning for Trustworthy Semi-Supervised Medical Image Segmentation. 1-5 - Anis Bourou, Kévin Daupin, Véronique Dubreuil, Aurélie De Thonel, Valérie Mezger-Lallemand, Auguste Genovesio:
Unpaired Image-to-Image Translation with Limited Data to Reveal Subtle Phenotypes. 1-5 - Wanlin Huang, Wenhui Wu, Yuanhao Gong:
3D Hand Bones and Tissue Estimation from a Single 2D X-Ray Image Via a Two-Stream Deep Neural Network. 1-5 - Louis Rigal, Julien Bellec, Renaud de Crevoisier, Mathieu Lederlin, Karim Benali, Raphaël P. Martins, Antoine Simon:
Patient-Specific Dynamic Model for Optimization of Cardiac Radioablation. 1-4 - Daniel Franco-Barranco, Jesús A. Andrés-San Román, Pedro Gómez-Gálvez, Luis M. Escudero, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
BiaPy: a ready-to-use library for Bioimage Analysis Pipelines. 1-5 - Cancheng Li, Tao Liu, Lijuan Shi, Yanchao Yuan, Chang Lei, Jicong Zhang:
Fusing Joint Features of Eeg Brain Functional Connectivity Networks for Anxiety Recognition. 1-5 - Yuanpin Zhou, Yao Lu:
Multiple Instance Learning with Critical Instance for Whole Slide Image Classification. 1-5 - Antoine Madrona, Sebastian Otálora, Elda Fischi Gomez, Veronica Ravano, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Roland Wiest, Richard McKinley, Jonas Richiardi, Jonathan Rafael-Patino:
Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation. 1-5 - Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu:
Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning. 1-5 - Noah Lewis, Armin Iraji, Robyn L. Miller, Vince D. Calhoun:
Topological Correction of Subject-Level Intrinsic Connectivity Networks. 1-4 - Tonmoy Hossain, Zoraiz Qureshi, Nivetha Jayakumar, Thomas Eluvathingal Muttikkal, Sohil Patel, David Schiff, Miaomiao Zhang, Bijoy Kundu:
Multimodal Deep Learning to Differentiate Tumor Recurrence from Treatment Effect in Human Glioblastoma. 1-4 - Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
ViGU: Vision GNN U-Net for fast MRI. 1-5 - Anirudh Potlapally, Shubham Mahajan, Michael Briden, Harrison Shawa, Andrea Medina Lopez, Daniel Yoon, Amir Mazaheri, Hsinya Yang, Sara Dahle, Roslyn R. Isseroff, Narges Norouzi:
WoundNet: A Domain-Adaptable Few-Shot Classification Framework for Wound Healing Assessment. 1-5 - Marc-Adrien Hostin, Vladimir Sivtsov, Shahram Attarian, David Bendahan, Marc-Emmanuel Bellemare:
Context-Gan: Controllable Context Image Generation Using Gans. 1-5 - Meghan Muldoon, Naimul Khan:
Lightweight and Interpretable Left Ventricular Ejection Fraction Estimation Using Mobile U-Net. 1-5 - Kyunghee Jung, Toan Duc Nguyen, Duc Tai Le, Junghyun Bum, Chang-Hwan Son, Hyunseung Choo:
Attention-Based Multiscale Localization for Bone Age Assessment. 1-4 - Xinhui Li, Tülay Adali, Rogers F. Silva, Vince D. Calhoun:
Multimodal Subspace Independent Vector Analysis Better Captures Hidden Relationships in Multimodal Neuroimaging Data. 1-5 - Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang:
Transformer-Based Hierarchical Clustering for Brain Network Analysis. 1-5 - Flora Estermann, Valérie Kaftandjian, Philippe Guy, Philippe Quetin, Philippe Delachartre:
PWML Detection in 3D Cranial Ultrasound Volumes using Over-segmentation and Multimodal Classification with Deep Learning. 1-5 - Anh-Tuan Nguyen, Jens Renders, Jan Sijbers, Jan De Beenhouwer:
Region-Based Motion-Compensated Iterative Reconstruction Technique for Dynamic Computed Tomography. 1-4 - Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding:
CMU-NeT: A Strong Convmixer-Based Medical Ultrasound Image Segmentation Network. 1-5 - Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu:
Hybrid Spiking Neural Networks Fine-Tuning for Hippocampus Segmentation. 1-5 - Chong Wang, Rongkai Zhang, Gabriel Maliakal, Saiprasad Ravishankar, Bihan Wen:
Deep Reinforcement Learning Based Unrolling Network for MRI Reconstruction. 1-5 - Dayang Wang, Yongshun Xu, Shuo Han, Hengyong Yu:
Masked Autoencoders for Low-dose CT Denoising. 1-4 - Eugenia Mylona, Dimitrios G. Zaridis, Nikolaos S. Tachos, Manolis Tsiknakis, Kostas Marias, Dimitrios I. Fotiadis:
Diagnosis of Clinical Significant Prostate Cancer on Biparametric Mri Using Zone-Specific Radiomic Features. 1-4 - Yuntao Bai, Xiaoqian Wang, Zhen Zhou, Zifeng Wu, Quanlong Feng, Jinqing Qi:
Pulmonary Segments Segmentation with Hierarchical Weak Labels. 1-5 - Gabriele Amorosino, Emanuele Olivetti, Jorge Jovicich, Paolo Avesani:
How Does White Matter Registration Affect Tractography Alignment? 1-5 - Hewei Cheng, Zhengyu Ren, Hongmin Ding, Dengke Li, Yong Fan:
Bipartite Organization of Cerebellar-Cortical Networks Identified based on Intrinsic Functional Connectivity. 1-4 - Jeferson David Gallo-Aristizábal, Daniel Escobar-Grisales, Cristian D. Ríos-Urrego, Paula Andrea Pérez-Toro, Elmar Nöth, Andreas Maier, Juan Rafael Orozco-Arroyave:
Assessment of Handwriting in Patients With Parkinson's Disease Using Non-Intrusive Tasks. 1-4 - Kuruparan Shanmugalingam, Daniel Aaron Moses, Arcot Sowmya, Erik Meijering:
Membranous Urethral Reconstruction and Segmentation in Multiplanar T2W MRI Images. 1-4 - Jingqi Niu, Shiwen Dong, Qinji Yu, Kang Dang, Xiaowei Ding:
Region and Spatial Aware Anomaly Detection for Fundus Images. 1-5 - Yunwen Huang, Hongyu Hu, Ying Zhu, Yi Xu:
Breast Lesion Diagnosis Using Static Images and Dynamic Video. 1-5 - Denis Barucic, Jan Kybic:
Learning to Segment From Object Thickness Annotations. 1-4 - Tijmen H. de Wolf, Matthijs Snelders, Jeroen Essers, Ihor Smal:
CA-LIME: An Algorithm that Explains Classification Results of Cardiomyocyte Beating. 1-4 - Samiksha Pachade, Surabhi Datta, Y. Dong, Sergio Salazar Marioni, Rania Abdelkhaleq, A. Niktabe, Kirk Roberts, Sunil A. Sheth, Luca Giancardo:
Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images. 1-5 - Nan Ding, Florence Rossant, Hélène Urien, Jérémie Sublime, Michel Pâques:
3D Orthogonal SD-OCT Volumes Registration for the Enhancement of Pores in Lamina Cribrosa. 1-5 - Shuo Zhang, Xinmei Su, Quanlong Feng, Zifeng Wu, Zhenghua Xu:
A Robust Agatston Score for Coronary Artery Calcium Scoring from Non-ECG-Gated CT with Different Reconstruction Kernels. 1-5 - Saarthak Kapse, Srijan Das, Prateek Prasanna:
CD-Net: Histopathology Representation Learning Using Context-Detail Transformer Network. 1-5 - Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Noah Maul, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas Maier:
Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets. 1-5 - Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger:
PLPP: A Pseudo Labeling Post-Processing Strategy for Unsupervised Domain Adaptation. 1-5 - Amirkhosro Kazemi, Marcus F. Stoddard, Amir A. Amini:
TKE-Net: Deep Learning for Estimation of Super-Resolved Turbulent Kinetic Energy Maps from 4D-Flow MRI Data. 1-4 - Xu Wang, Jun Ma, Jing Li:
Point Transformer for Coronary Artery Labeling. 1-4 - Xiaoxi Lu, Na Zeng, Xingyue Wang, Jingqi Huang, Yan Hu, Jiansheng Fang, Jiang Liu:
FFNET: An End-To-End Framework Based on Feature Pyramid Network and Filter Network for Pulmonary Nodule Detection. 1-6 - Yuncheng Yang, Jie Yang, Junjun He, Yun Gu:
Fdinet: Feature-Decomposition-Interaction Networks for Retinal Vessel Segmentation. 1-5 - Sachin Bahade, Michael Edwards, Xianghua Xie:
Graph Proposal Neural Networks for Cell Detection Immunostained Hodgkin Lymphoma Histology Images. 1-5 - Liangchen Liu, Benjamin Hou, Manas Kumar Nag, Jianfei Liu, Navid Hasani, Thomas C. Shen, Yingying Zhu, Babak Saboury, Jing Xiao, Ronald M. Summers:
Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors. 1-5 - Zhanqiang Guo, Jianjiang Feng, Wangsheng Lu, Yin Yin, Guangming Yang, Jie Zhou:
Training Cross-Modality Cerebrovascular Segmentation Networks With Paired Images. 1-5 - Yiyang Lin, Yifeng Wang, Yang Chen, Zirui Zhu, Zijie Fang, Miaorun Lin, Zexin Li, Yongbing Zhang:
Unpaired H&E to PR Stain Transfer with Self-Supervised Auxiliary Segmentation. 1-5 - Andrew Shi, Wei Feng:
Adaptive Entropy Regularization for Unsupervised Domain Adaptation in Medical Image Segmentation. 1-5 - Siyuan Mei, Fuxin Fan, Andreas Maier:
Metal Inpainting in CBCT Projections Using Score-based Generative Model. 1-5 - Shramana Dey, Pallabi Dutta, Sushmita Mitra, B. Uma Shankar:
Multi-Scale Deep Supervised Attention Network for Red Lesion Segmentation. 1-4 - Yuchen He, Wenyu Wang, Zhiming Cheng, Wei Qi, Zhigang Duan, Kai Jin, Juan Ye, Shuai Wang:
Tribranchu-Net: A Size-Sensitive Network for Orbital Tumor Segmentation. 1-5 - Xiao Bai, Huamin Wang, Shuo Yang, Zhe Wang, Guohua Cao:
DD-WGAN: Generative Adversarial Networks with Wasserstein Distance and Dual-Domain Discriminators for Low-Dose CT. 1-4 - Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, Nicholas Ayache:
Joint Representation Learning from French Radiological Reports and Ultrasound Images. 1-5 - Firas Khader, Johannes Stegmaier, Sven Nebelung, Daniel Truhn:
Multi-View Abnormality Detection in Clinical Knee MRI Studies Using Transformers. 1-4 - Shangxuan Li, Yu Du, Li Ye, Chichi Li, Yanshu Fang, Cheng Wang, Wu Zhou:
Teeth and Root Canals Segmentation using Zxyformer with Uncertainty Guidance and Weight Transfer. 1-5 - Luis Filipe Alves Pereira, Jan De Beenhouwer, Jan Sijbers:
Sparse-View Medical Tomosynthesis via Mixed Scale Dense Convolutional Framelet Networks. 1-5 - Erik P. Duhaime, Mike Jin, Taylor Moulton, Jochen Weber, Nicholas R. Kurtansky, Allan Halpern, Veronica Rotemberg:
Nonexpert Crowds Outperform Expert Individuals in Diagnostic Accuracy on a Skin Lesion Diagnosis Task. 1-5 - Aryan Ghazipour, Tyler Settle, Benjamin Veasey, Emily Daugherty, Samuel Keltner, Nitin Kumar, James Ververs, Michael Farris, Neal Dunlap, Amir A. Amini:
Survival Outcome Prediction for Stereotactic Body Radiation Therapy of Lung Cancer from Post-RT Ct Images with RNN/CNN Deep Learning. 1-4 - Xupei Hu, Wei Li, Huahui Xiao:
RC-Mask: Rotated-Count-Mask for Chromosome Segmentation. 1-5 - Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang:
Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI. 1-4 - Ananya Jana, Hrebesh Molly Subhash, Dimitris N. Metaxas:
3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation. 1-5 - Sai Natarajan, Aleksei Tiulpin, Ludovic Humbert, Miguel Ángel González Ballester:
MRI2Mesh: Intervertebral Disc Mesh Generation from Low Resolution MRI Using Graph Neural Networks with Cross Level Feature Fusion. 1-5 - Wenbin Guo, Wayne Brisbane, Rani Ashouri, Brianna Nguyen, Angelos Barmpoutis:
Prostate Capsule Segmentation in Micro-Ultrasound Images Using Deep Neural Networks. 1-5 - Mohamed T. Azzam, Ahmed Alksas, Hossam Magdy Balaha, Asmaa El-Sayed Hassan, Mohamed Shehata, Nagham E. Mekky, Noha A. Hikal, Basem I. Awad, Ahmad El-Morsy, Mohammed Ghazal, Ayman El-Baz:
A Novel Textural and Morphological-Based CAD System for Early and Accurate Diagnosis of Vertebral Tumors. 1-4 - Grigorios M. Karageorgos, John Karigiannis, Cynthia Davis, Soumya Ghose, Jhimli Mitra:
Transformer-based Characterization of Breast Lesions in Handheld Ultrasound Images WITH Classification Inconsistency Measure. 1-5 - Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer:
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. 1-5 - Amani Almalki, Longin Jan Latecki:
Enhanced Masked Image Modeling for Analysis of Dental Panoramic Radiographs. 1-5 - Zetian Zhang, Mingchao Li, Songtao Yuan, Qiang Chen:
Vessel Centripetality: A New Indicator for Morphological Analysis of Arteries and Veins. 1-5 - Hélène Kabbech, Jente van Staalduinen, Frank Grosveld, Ihor Smal:
Accurate Estimation of Particle Dynamics Bypassing Substrate Drift Bias: Application to Cell Nucleus Motion. 1-4 - Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut:
Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging. 1-5 - Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson, Greg Ver Steeg:
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models. 1-5 - Johannes Kiechle, Dylan Miller, Jordan Slessor, Matthew Pietrosanu, Linglong Kong, Christian Beaulieu, Dana Cobzas:
Explaining Anatomical Shape Variability: Supervised Disentangling with A Variational Graph Autoencoder. 1-5 - Alexander D. Gleed, D. Mishra, V. Chandramohan, Z. Fu, Alice Self, S. Bhatnagar, Aris T. Papageorghiou, J. Alison Noble:
Towards Multi-Sweep Ultrasound Video Understanding: Application in Detection of Breech Position Using Statistical Priors. 1-5 - Anum Masood, Usman Naseem, Imran Razzak:
Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images. 1-5 - Raphael Reme, Victor Piriou, Alison Hanson, Rafael Yuste, Alasdair Newson, Elsa D. Angelini, Jean-Christophe Olivo-Marin, Thibault Lagache:
Tracking Intermittent Particles with Self-Learned Visual Features. 1-5 - Ralph Saber, David Henault, Rolando Rebolledo, Simon Turcotte, Samuel Kadoury:
Ensemble Tabnet Predicting a T-Cell/MHC-I-Based Immune Profile Biomarker for Colorectal Liver Metastases from CT Images. 1-5 - Shan Jin, Hongming Xu, Yue Dong, Xinyu Hao, Fengying Qin, Ranran Wang, Fengyu Cong:
Multiple Instance Learning for Lymph Node Metastasis Prediction from Cervical Cancer MRI. 1-4 - Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M. Louise Hull, Gustavo Carneiro:
Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. 1-5 - Peiyu Duan, Yuan Xue, Shuo Han, Lianrui Zuo, Aaron Carass, Caitlyn Bernhard, Savannah Hays, Peter A. Calabresi, Susan M. Resnick, James S. Duncan, Jerry L. Prince:
Rapid Brain Meninges Surface Reconstruction with Layer Topology Guarantee. 1-5 - Pranjal Sahu, James Fishbaugh, Jared Vicory, Asma Khan, Beatriz Paniagua:
3D Fourier Domain Adaptation for Improving CBCT Tooth Segmentation Under Scanner Parameter Shift. 1-5 - Peng Li, Yue Hu:
Learned Tensor Low-CP-Rank and Bloch Response Manifold Priors for Non-Cartesian MRF Reconstruction. 1-4 - Xueshen Li, Yu Gan, David Duan, Xiao Yang:
Detecting and Measuring Human Gastric Peristalsis Using Magnetically Controlled Capsule Endoscope. 1-5 - Karim Makki, Adrien Bartoli:
Normal Reconstruction from Specularity in the Endoscopic Setting. 1-5 - Harshit Varma, Akshay V. Gaikwad, Suyash P. Awate:
Adversarial Training with Multiscale Boundary-Prediction DNN for Robust Topologically-Constrained Segmentation in OOD Images. 1-5 - Pham Ngoc Huy, Tran Minh Quan:
Denoising Diffusion Medical Models. 1-5 - Aashay Tinaikar, Geetank Raipuria, Nitin Singhal:
Prototype Governed Contrastive Learning for Robust Image Classification in Histopathology. 1-5 - Burhan Rashid Hussein, Cédric Meurée, Malo Gaubert, Arthur Masson, Anne Kerbrat, Benoît Combès, Francesca Galassi:
A Study on Loss Functions and Decision Thresholds for the Segmentation of Multiple Sclerosis Lesions on Spinal Cord MRI. 1-5 - B. K. Shreyamsha Kumar, K. C. Anandakrishan, Srinivasan Jayaraman:
Wound Care: Wound Segmentation and Parameter Estimation. 1-4 - Haonan Zhang, Yuhan Zhang, Qing Wu, Jiangjie Wu, Zhiming Zhen, Feng Shi, Jianmin Yuan, Hongjiang Wei, Chen Liu, Yuyao Zhang:
Self-Supervised Arbitrary Scale Super-Resolution Framework for Anisotropic MRI. 1-5 - Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris N. Metaxas:
Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation. 1-5 - Pooneh Roshanitabrizi, Kelsey Brown, Alison Tompsett, Athelia Rosa Paulli, Joselyn Rwebembera, Emmy Okello, Liesl Zühlke, Mariana Mirabel, Maria Carmo Pereira Nunes, Andrea Z. Beaton, Craig Sable, Marius George Linguraru:
Analysis of Mitral Regurgitation Jet for Rheumatic Heart Disease Detection in Doppler Echocardiography. 1-5 - Guillaume Balezo, Christof A. Bertram, Cyprien Tilmant, Stéphanie Petit, Saima Ben Hadj, Rutger H. J. Fick:
Enabling Collagen Quantification on HE-Stained Slides through Stain Deconvolution and Restained HE-HES. 1-5 - Yinglin Zhang, Wei Wang, Biao Wang, Zichao Cai, Dave Towey, Ruibin Bai, Risa Higashita, Jiang Liu:
UG-Net: Corneal Endothelial Cell Segmentation Based on Uncertainty Estimation and Soft Spatial Attention. 1-5 - Haoran Zhang, Hao Chen:
Efficient 3D Transformer with cluster-based Domain-Adversarial Learning for 3D Medical Image Segmentation. 1-5 - Sunitha Basodi, Rajikha Raja, Harshvardhan Gazula, Javier Tomas Romero, Sandeep R. Panta, Vince D. Calhoun:
Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry. 1-4 - Ario Sadafi, Nassir Navab, Carsten Marr:
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-Based Multiple Instance Learning. 1-5 - Margarida Morais, Francisco Maria Calisto, Carlos Santiago, Clara Aleluia, Jacinto C. Nascimento:
Classification of Breast Cancer in Mri with Multimodal Fusion. 1-4 - Iris Kolenbrander, Evi M. C. Huijben, Johanna N. A. Bergmans, Kim F. M. van Bussel, Josien P. W. Pluim, Maureen A. J. M. van Eijnatten:
The Importance of Realistic Training Deformations for Respiratory CT Registration. 1-5 - Junjie Lin, Xingyue Wang, Jiansheng Fang, Na Zeng, Xiaoxi Lu, Jingqi Huang, Yan Hu, Heng Meng, Jiang Liu:
Multi-Scale Retina Vessel Segmentation in OCTA with a Vascular Connectivity Module in the Convolutional Neural Network. 1-5 - Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz:
A Knowledge Distillation Framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. 1-5 - Changhao Jiang, Xuanyu Tian, Yanbin Li, Jiangjie Wu, Xin Mu, Lei Zhang, Yuyao Zhang:
Self-Supervised High-Dimentional Magnetic Resonance Image Denoising Using Super-Resolved Single Noisy Image. 1-5 - Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante:
Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models. 1-5 - Alexandre Bône, Marc-Michel Rohé:
Leveraging Multi-Phase CT for the Automatic Diagnosis of HCC with Deep Learning: Impacts of Lesion Localization and Phase Inclusion. 1-5 - Tsubasa Konno, Takahiro Ninomiya, Kanta Miura, Koichi Ito, Noriko Himori, Parmanand Sharma, Toru Nakazawa, Takafumi Aoki:
Retinal Layer Segmentation from Oct Images Using 2D-3D Hybrid Network with Multi-Scale Loss and Refinement Module. 1-4 - Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li:
Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories. 1-5 - Edward Offord, Judith E. Lutton, Till Bretschneider:
Cell Membrane Feature Detection Using Graph Neural Networks. 1-5 - António Mendes, Catarina Barata:
Intrapatient Diagnosis for Melanoma Skin Cancer. 1-4 - Jens Renders, Banafshe Shafieizargar, Marleen Verhoye, Jan De Beenhouwer, Arnold J. den Dekker, Jan Sijbers:
Delta-MRI: Direct Deformation Estimation from Longitudinally Acquired K-Space Data. 1-4 - Omnia Alwazzan, Abbas Khan, Ioannis Patras, Gregory G. Slabaugh:
MOAB: Multi-Modal Outer Arithmetic Block for Fusion of Histopathological Images and Genetic Data for Brain Tumor Grading. 1-5 - Xiaolu Lin, Bing Yang, Yifan Zhou, Risa Higashita, Jiang Liu:
Dual-Path Framework for Intra-Class Imbalance Medical Image Segmentation. 1-5 - Megan Lantz, Greg Ongie:
Learning-Based Material Decomposition in Dual Energy CT Using an Unrolled Estimator. 1-5 - Yi Lv, Weibin Liao, Zhensen Chen, Xuesong Li:
MFR-Net: Multi-Scale Feature Representation Module for 3D Cerebrovascular Segmentation. 1-5 - Hanin Al Ghothani, Kun Zhang:
Knee Injury Diagnosis with Data and Feature Fusion-Enhanced Multi-Label Classification Network. 1-5 - Xue Liu, Juan Zou, Tao Sun, Ruoyou Wu, Xiawu Zheng, Cheng Li, Shanshan Wang:
Iterative Data Refinement for Self-Supervised Learning MR Image Reconstruction. 1-4 - Yefeng Liang, Shibo Li, Xingyu Li, Yucheng He, Ying Hu, Tailin Wu, Huiren Tao:
Robust X-ray Image Stitching Algorithm Based on Refining Matching Results of Feature Descriptors. 1-5 - Bassant E. Youssef, Ahmed Alksas, Ahmed Shalaby, Ali Mahmoud, Eric Van Bogaert, Sohail Contractor, Mohammed Ghazal, Adel Elmaghraby, Ayman El-Baz:
A Novel Technique of Pulmonary Nodules Auto Segmentation Using Modified Convolutional Neural Networks. 1-4 - Alexander Sauer, Mariia Dmitrieva, Hongqing Han, Jens Rittscher:
Leveraging Inter-Annotator Disagreement for Semi-Supervised Segmentation. 1-5 - Tengfei Xue, Hazhar Sufi Karimi, William Consagra, Fan Zhang, Weidong Cai, Lauren J. O'Donnell, Lipeng Ning, Yogesh Rathi:
A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI. 1-5 - Xutao Guo, Pengcheng Shi, Shang Lu, Chenfei Ye, Ting Ma:
Joint Learning Annotator Calibration and Annotator Preference for Multiple Annotations Optic Disc and Cup Segmentation. 1-5 - Linfeng Liu, Junyan Lyu, Siyu Liu, Xiaoying Tang, Shekhar S. Chandra, Fatima A. Nasrallah:
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction. 1-4 - Sara Azzouz, Logan A. Walker, Alexandra Doerner, Kellie L. Geisel, Arianna K. Rodríguez Rivera, Ye Li, Douglas H. Roossien, Dawen Cai:
Optimized Neuron Tracing Using Post Hoc Reanalysis. 1-5 - Lulu Gai, Zhi Qiao, Lianxi Fan, Xianghong Meng, Shengru Fang, Pei Dong, Zhen Qian:
MMAN: Multi-Task and Multi-Scale Attention Network for Concurrently Lower Limbs Segmentation and Landmark Detection. 1-5 - Zequan Liu, Suhong Wang, Zidong Chen, Zhifeng Xiao:
UCITransNet: A Deep Neural Model with FC-CRFs and Object-Level Data Augmentation for Cell Instance Segmentation. 1-5 - Diana Mandache, Emilie Benoit á la Guillaume, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid:
Cross-Modal Contrastive Learning for Robust Representation of the Extracellular Matrix in Static and Dynamic Full-Field OCT Images. 1-5 - Karen Ardila, Emily Munro, Fernando Vega, Aashka Mohite, Charlotte Curtis, Amanda V. Tyndall, M. Ethan MacDonald:
Using Machine Learning to Study the Effects of Genetic Predisposition on Brain Aging in the UK Biobank. 1-5 - Iman Aganj, Bruce Fischl:
Intermediate Deformable Image Registration Via Windowed Cross-Correlation. 1-5 - Xinyu Xiong, Siying Li, Guanbin Li:
Unpaired Image-to-Image Translation Based Domain Adaptation for Polyp Segmentation. 1-5 - Clemens Pollak, David Kügler, Martin Reuter:
Estimating Head Motion from Mr-Images. 1-5 - Dongqing Hu, Hansheng Li, Yuxin Kang, Jiayu Luo, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, Lin Yang:
Automated Region Learning Via Cell-Level Labels to Modify Cell Detection Process For Histopathological Images. 1-5 - Wenhui Zhu, Peijie Qiu, Mohammad Farazi, Keshav Nandakumar, Oana M. Dumitrascu, Yalin Wang:
Optimal Transport Guided Unsupervised Learning for Enhancing Low-Quality Retinal Images. 1-5 - Jiahao Lu, Chong Yin, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner:
cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis. 1-5 - Meenu Ajith, Vince D. Calhoun:
Functional Network Connectivity Based Mental Health Category Prediction from Rest-fMRI Data. 1-5 - Pranav Suresh, Bhaskar Ray, Bishal Thapaliya, Britny Farahdel, Behnam Kazemivash, Jiayu Chen, Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu:
Effective Training Strategy for NN Models of Working Memory Classification with Limited Samples. 1-4 - Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood:
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. 1-4 - Axel Garcia-Vega, Ricardo Espinosa, Luis Ramirez-Guzman, Thomas Bazin, Luis Falcón-Morales, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul:
Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging. 1-5 - Yan Chen, James H. Holmes, Curtis Corum, Vincent Magnotta, Mathews Jacob:
Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI. 1-4 - Jinghua Yue, Nan Jiang, Bo Liu, Fugen Zhou, Shuo Jin, Siyuan Wang, Jianping Zeng:
SCU-Net: A Shape-Supervised Contextual-Fusion U-Net for the Dilated Biliary Tree Segmentation. 1-5 - Mourad Gridach, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
D2ANET: Densely Attentional-Aware Network for First Trimester Ultrasound CRL and NT Segmentation. 1-4 - Samaneh Choupani, François Varray, Bruno Gilles, Jean-Christophe Béra, Damien Garcia:
Arterial Pressure Loss from Vascular Vector Flow Mapping with Conventional Color Doppler. 1-5 - Yuli Wang, Anqi Feng, Yuan Xue, Lianrui Zuo, Yihao Liu, Ari M. Blitz, Mark G. Luciano, Aaron Carass, Jerry L. Prince:
Automated Ventricle Parcellation and Evan's Ratio Computation in Pre- and Post-Surgical Ventriculomegaly. 1-5 - Geetank Raipuria, Aman Srivastava, Nitin Singhal:
TransEM-Net: Transformer Based Efficient Multi-Magnification Network for Histopathology. 1-4 - Lulin Shi, Ivy H. M. Wong, Claudia T. K. Lo, Lauren W. K. Tsui, Terence T. W. Wong:
Unsupervised Multiple Virtual Histological Staining from Label-Free Autofluorescence Images. 1-5 - Matej Gazda, Peter Drotár, Liset Vázquez Romaguera, Samuel Kadoury:
End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction. 1-5 - Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori:
Contrastive Learning for Regression in Multi-Site Brain Age Prediction. 1-4 - Hongmin Cai, Tingting Dan, Zhuobin Huang, Guorong Wu:
OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network. 1-5 - Armin Iraji, Jiayu Chen, Ashkan Faghiri, Zening Fu, Jingyu Liu, Juan R. Bustillo, Tülay Adali, Mukesh Dhamala, Vince D. Calhoun:
Capturing Spatial Dynamics Using Time-Resolved Referenced-Informed Network Estimation Techniques. 1-4 - Gili Weiss-Dicker, Amitay Eldar, Yoel Shkolinsky, Tamir Bendory:
Unsupervised Particle Sorting for Cryo-EM using Probabilistic PCA. 1-5 - Amelie Rauland, Dorit Merhof:
Using Synthetic Training Data in Neural Networks for the Estimation of Fiber Orientation Distribution Functions from Single Shell Data. 1-5 - Baosheng Zou, Zongguang Zhou, Ying Han, Kang Li, Guotai Wang:
Multi-Scale Convolution-Transformer Fusion Network for Endoscopic Image Segmentation. 1-5 - Yixiao Guo, Lei Hou, Zili Li, Yang He, Tianmin Xu, Yuru Pei:
Weakly Supervised Learning Of Piecewise Rigid Transformation for Orthognathic Surgical Reconstruction of Dentofacial Deformity. 1-5 - Daniel Sens, Ario Sadafi, Francesco Paolo Casale, Nassir Navab, Carsten Marr:
BEL: A Bag Embedding Loss for Transformer Enhances Multiple Instance Whole Slide Image Classification. 1-5 - Peng Li, Yue Hu:
Deep Magnetic Resonance Fingerprinting Based on Local and Global Vision Transformer. 1-4 - Xiaowei Yu, Lu Zhang, Yanjun Lyu, Tianming Liu, Dajiang Zhu:
Supervised Deep Tree in Alzheimer's Disease. 1-5 - Pengfei Li, Gang Liu, Lin Tan, Jinying Liao, Shenjun Zhong:
Self-Supervised Vision-Language Pretraining for Medial Visual Question Answering. 1-5 - Gaël Vila, Axel Bonnet, F. Chauveau, S. Gaillard, Françoise Durand-Dubief, Sorina Camarasu-Pop, H. Ratiney:
Computational Reproducibility in Metabolite Quantification Applied to Short Echo Time In Vivo MR Spectroscopy. 1-5 - Ziquan Wei, Tingting Dan, Jiaqi Ding, Carolyn M. McCormick, Felix A. Kyere, Minjeong Kim, David Borland, Jason L. Stein, Guorong Wu:
High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps. 1-5 - Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Successive Subspace Learning for Cardiac Disease Classification with Two-Phase Deformation Fields from Cine MRI. 1-5 - Xueqi Guo, Mohamad Abdi, Yoshihisa Shinagawa, Anna K. Jerebko, Sepehr Farhand:
SEAM-STRESS: A Weakly Supervised Framework for Interstitial Lung Disease Segmentation in Chest CT. 1-4 - Fei Chen, Jiacheng Wang, Baptiste Magnier, Wei Xue, Shaohui Huang, Liansheng Wang:
G2LL: Global-To-Local Self-Supervised Learning for Label-Efficient Transformer-Based Skin Lesion Segmentation in Dermoscopy Images. 1-5 - Yiheng Liu, Enjie Ge, Ning Qiang, Tianming Liu, Bao Ge:
Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks. 1-4 - Xibao Li, Xi Ouyang, Jiadong Zhang, Dongdong Gu, Zehong Cao, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Yuyao Zhang, Feng Shi, Dinggang Shen:
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. 1-4 - Erwan Dereure, Christophe Kervazo, Johanne Seguin, Anikitos Garofalakis, Nathalie Mignet, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging. 1-5 - Dominik Jens Elias Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr:
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images. 1-5 - Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers. 1-4 - Shijie Li, Guido Gerig, Thomas Ach:
Improved Counting and Localization From Density Maps for Object Detection in 2D and 3D Microscopy Imaging. 1-5 - Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales:
Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation. 1-5 - Boyu Chen, Ameenat L. Solebo, Paul Taylor:
Automated Image Quality Assessment for Anterior Segment Optical Coherence Tomograph. 1-4 - Xinyang Liu, Erin R. Bonner, Zhifan Jiang, Holger R. Roth, Syed Muhammad Anwar, Roger J. Packer, Miriam Bornhorst, Marius George Linguraru:
Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data. 1-4 - Karen Sanchez, Carlos Hinojosa, Kevin Arias, Henry Arguello, Denis Kouamé, Olivier Meyrignac, Adrian Basarab:
Mask-Guided Data Augmentation for Multiparametric MRI Generation with a Rare Hepatocellular Carcinoma. 1-5 - Yicong Li, Yaron Meirovitch, Aaron T. Kuan, Jasper S. Phelps, Alexandra Pacureanu, Wei-Chung Allen Lee, Nir Shavit, Lu Mi:
X-Ray2EM: Uncertainty-Aware Cross-Modality Image Reconstruction from X-Ray to Electron Microscopy in Connectomics. 1-5 - Ruiyan Fang, Yalan Wu, Xiaofeng Zhang, Xin Zhang:
MNGLO-Net: A Cascade Network for Detecting Glomerulus and Classifying Pathological Types of Membranous Nephropathy. 1-5 - Yuliang Huang, Kris Thielemans, Jamie R. McClelland:
Surrogate-Driven Motion Model for Motion Compensated Cone-beam CT Reconstruction using Unsorted Projection Data. 1-5 - Marcelo V. W. Zibetti, Ravinder R. Regatte:
Stochastic Bias-Accelerated Subset Selection Algorithm for Joint Learning of Sampling Pattern and Reconstruction in Accelerated MRI. 1-5 - Chahd Chabib, Leontios J. Hadjileontiadis, Aamna Al Shehhi:
Curvelet- and Contourlet-Based CNN for the Early Prediction of Alzheimer's Disease. 1-5 - Suhang You, Devavrat Tomar, Behzad Bozorgtabar, Mauricio Reyes:
SaGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift. 1-4 - Yujia Yuan, Deqiang Xiao, Shuo Yang, Zongyu Li, Haixiao Geng, Ying Gu, Jian Yang:
AFF-NET: An Adaptive Feature Fusion Network For Liver Vessel Segmentation From CT Images. 1-5 - Mintong Kang, Bowen Li, Zengle Zhu, Yongyi Lu, Elliot K. Fishman, Alan L. Yuille, Zongwei Zhou:
Label-Assemble: Leveraging Multiple Datasets with Partial Labels. 1-5 - Jinyue Guo, Jing Liu, Bei Hong, Yanchao Zhang, Yuxuan Xu, Hua Han:
Planar to Spatial: a Synapse Reconstruction Method to Rebuild Voxel Connections for Anisotropic Serial EM Images. 1-5 - Yunqi He, Linglong Cai, Taimei Cui, You Li, Hai Zhou:
A Combination of DNN and BN for Automatic Skin Disease Diagnosis. 1-5 - Pingkang Li, Haijun Lei, Xuegang Song, Jia Zhao, Jialan Tang, Yukang Lei, Baiying Lei:
Diagnosis of Covid-19 Via Multi-Layer Multi-Center Graph Attention Network. 1-4 - Aniol Serra Juhé, Daniel Rinck, Andreas Maier:
Generation of Synthetic 3D Data Using Simulated MR Examinations in Augmented Reality. 1-5 - Yu Du, Liting Wang, Lei Guo, Junwei Han, Tianming Liu, Xintao Hu:
Topological Similarity between Artificial and Biological Neural Networks. 1-5 - Jiyuan Liu, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He, Dinggang Shen, Zhong Xue:
Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening. 1-4 - Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
Trackerless Freehand Ultrasound with Sequence Modelling and Auxiliary Transformation Over Past and Future Frames. 1-5 - Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian D. Leahy, Helen Y. Yang, James Tompkin, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister:
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation. 1-5 - Michal Brzus, Aaron D. Boes, Joel Bruss, Hans J. Johnson:
Leveraging High-Quality Research Data for Ischemic Stroke Lesion Segmentation on Clinical Data. 1-5 - Lulin Zou, Rong Zhang, Lijun Guo:
DDEW-net: Automatic Assessment of Scoliosis through Dual Decoder Enhancement Network. 1-5 - Benoît Sauty, Stanley Durrleman:
Impact of sex and APOE-ε4 genotype on regional brain metabolism in Alzheimer's Disease. 1-5 - Chengrui Gao, Junlong Cheng, Ziyuan Yang, Yingyu Chen, Fengjie Wang, Min Zhu:
SAA-NET: A Medical Image Segmentation Framework Based On Stream-Across Attention. 1-5 - Matheus Alvarez, Diana Rodrigues de Pina, Hugo Rositi, Antoine Vacavant:
Comparison of UNet and DC-UNet models for an efficient segmentation and visualization of rodent hepatic vascular network from X-ray phase contrast imaging. 1-5 - Nina I. Shamsi, Lars A. Gjesteby, David Chavez, Michael Snyder, Brian S. Eastwood, Matthew G. Fay, Nathan J. O'Connor, Jack R. Glaser, Charles R. Gerfen, Laura J. Brattain:
Self-Supervised Learning to Improve Topology-Optimized Axon Segmentation and Centerline Detection. 1-4 - Md. Mostafa Kamal Sarker, Robail Yasrab, Mohammad Alsharid, Aris T. Papageorghiou, J. Alison Noble:
CNSeg-GAN: A Lightweight Generative Adversarial Network For Segmentation of CRL and NT From First-Trimester Fetal Ultrasound. 1-4 - Jiarui Xing, Shuo Wang, Kenneth C. Bilchick, Frederick H. Epstein, Amit R. Patel, Miaomiao Zhang:
Multitask Learning for Improved Late Mechanical Activation Detection of Heart from Cine Dense MRI. 1-5 - Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies. 1-4 - Ruiwen Ding, Erika Rodriguez, Ana Cristina Araujo Lemos Da Silva, William Hsu:
Using Graph Neural Networks to Capture Tumor Spatial Relationships for Lung Adenocarcinoma Recurrence Prediction. 1-5 - Ahmed Sharafeldeen, Mahmoud Elgafi, Ahmed Elnakib, Ali Mahmoud, Ahmed Elgarayhi, Norah Saleh Alghamdi, Mohammed Sallah, Ayman El-Baz:
Diabetic Retinopathy Detection Using 3D OCT Features. 1-4 - Weixun Luo, Xiaodan Xing, Guang Yang:
Is Autoencoder Truly Applicable for 3d CT Super-Resolution? 1-4 - Mohd Rizwan Shaikh, Madhav Rao, Ganesh Subramaniam:
A Novel Thermal Imaging Based Transfer-Learning Model To Estimate Blood Pressure. 1-5 - Yanyan Xie, Shangxuan Li, Xian Li, Baoer Liu, Yikai Xu, Wu Zhou:
Triplet-Uncertainty in Multi-Task Deep Learning for Improving Malignancy Characterization of Hepatocellular Carcinoma. 1-5 - Shu Zhang, Haiyang Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Jinru Wu:
A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach. 1-5 - Debdut Mandal, Lipeng Ning, Yogesh Rathi:
In-Vivo Estimation of Axon Radii From Clinical Scanners. 1-5 - Eléonore V. Lieffrig, Tianyi Zeng, Jiazhen Zhang, Kathryn Fontaine, Xi Fang, Enette Mae Revilla, Yihuan Lu, John A. Onofrey:
Multi-Task Deep Learning and Uncertainty Estimation for Pet Head Motion Correction. 1-5 - Heqian Zhang, Zhaohui Wang, Yuefu Zhan:
Classification and Diagnosis of Autism Spectrum Disorder using Swin Transformer. 1-4 - Alon Baram, Oded Ovadia, Grigoriy Zurakhov, Raja Giyras, Eli Turkel, Hayit Greenspan:
Detecting Anatomy Openings in the Left Atrium Via a Triangular Ultrasonic Array Using Deep Learning. 1-5 - Elias Villalvazo-Avila, Francisco Javier Lopez-Tiro, Mariana Rizo, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul:
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. 1-5 - H. Chamberlin, Edward G. A. Henderson, R. Cowan, C. Anandadas, C. Hague, F. Wilson, J. Radford, S. Howell, S. Astley, M. Aznar, E. Vasquez Osorio:
Limitations of Automated Segmentation Tools for Breast Tissue in Young Women Treated with Radiotherapy to the Chest. 1-4 - Shangxuan Li, Yanshu Fang, Guangyi Wang, Lijuan Zhang, Wu Zhou:
Inter-Modal Conditional-Guided Fusion Network with Transformer for Grading Hepatocellular Carcinoma. 1-5 - Ali Kafaei Zad Tehrani, Iván M. Rosado-Méndez, Hassan Rivaz:
Homodyned K-Distribution: Parameter Estimation and Uncertainty Quantification Using Bayesian Neural Networks. 1-4 - Aleix Boquet-Pujadas, Pol del Aguila Pla, Michael Unser:
PET Rebinning with Regularized Density Splines. 1-4 - Maya Fichmann Levital, Samah Khawaled, Yufei Chen, John A. Kennedy, Moti Freiman:
Uncertainty Assessment in Whole-Body Low Dose Pet Reconstruction Using Non-Parametric Bayesian Deep Learning Approach. 1-5 - Qi Su, Na Wang, Jiawen Xie, Yinan Chen, Xiaofan Zhang:
Automatic Lobe Segmentation Using Attentive Cross Entropy and End-to-End Fissure Generation. 1-5 - Clément Jailin, Pablo Milioni de Carvalho, Sara Mohamed, Laurence Vancamberg, Amr Farouk, Mohamed Gomaa, Rasha Kamal, Serge Muller:
Quantitative Evaluation of the Response to Neo-Adjuvant Chemotherapy based on Non-Rigid Registration of CEM. 1-5 - Edmundo A. Miranda, Adrian Basarab, Roberto J. Lavarello:
Total Nuclear Variation Spectral Log Difference for Ultrasonic Attenuation Images. 1-4 - Joël Lefebvre:
Exploring CNN-Based Self-Supervised Illumination Inhomogeneity Compensation for Serial Optical Coherence Tomography. 1-5 - Yihang Chen, Weiqin Zhao, Lequan Yu:
Transformer-Based Multimodal Fusion for Survival Prediction by Integrating Whole Slide Images, Clinical, and Genomic Data. 1-5 - Yuhui Du, Fulin Wu, Ju Niu, Vince D. Calhoun:
An Adaptive Semi-Supervised Deep Clustering and Its Application to Identifying Biotypes of Psychiatric Disorders. 1-4 - Inés A. Cruz-Guerrero, Juan N. Mendoza-Chavarría, Daniel U. Campos-Delgado, Himar Fabelo, Samuel Ortega, Gustavo Marrero Callicó:
Classification of Brain Tissues in Hyperspectral Images Using Vision Transformers. 1-4 - Yunpeng Zhao, Fugen Zhou, Bin Guo, Bo Liu:
Spatial Temporal Graph Convolution with Graph Structure Self-Learning for Early MCI Detection. 1-5 - Pietro Nardelli, Rubén San José Estépar, Gonzalo Vegas-Sánchez-Ferrero, Raúl San José Estépar:
Quantitative Biomarkers Reproducibility Using Generative Adversarial Approaches in Reduced to Conventional Dose CT. 1-5 - Minhyeong Yu, Sunwoo Kim, Seungjun Baek:
Federated Semi-Supervised Segmentation with Randomized Weight Perturbation. 1-5 - Juntao Chen, Li Lin, Pujin Cheng, Yijin Huang, Xiaoying Tang:
Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment. 1-5 - Lize Jia, Jia Guo, Weihang Zhang, Hanruo Liu, Ningli Wang, Huiqi Li:
Semi-Supervised Learning with Out-of-Distribution Unlabeled Samples for Retinal Image Classification. 1-5 - Xilun Liu, Mohamed Almekkawy:
Ultrasound Super Resolution Using Deep Learning Based on Attention Mechanism. 1-5 - Ruimin Feng, Qing Wu, Yuyao Zhang, Hongjiang Wei:
A Scan-Specific Unsupervised Method for Parallel MRI Reconstruction Via Implicit Neural Representation. 1-5 - Narasimharao Kowlagi, Huy Hoang Nguyen, Terence McSweeney, Simo Saarakkala, Juhani Määttä, Jaro Karppinen, Aleksei Tiulpin:
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine Mri Using Deep Learning. 1-5 - Abhishek S. Jeyapratap, Drew Parker, Benjamin E. Yerys, Ragini Verma, Yusuf Osmanlioglu:
Analysis of Structural Brain Network Topology Alterations in Autism and its Relationship with Autism Severity. 1-4 - Li Chen, Jonathan Rubin, Jiahong Ouyang, Naveen Balaraju, Shubham Patil, Courosh Mehanian, Sourabh Kulhare, Rachel Millin, Kenton W. Gregory, Cynthia Gregory, Meihua Zhu, David O. Kessler, Laurie Malia, Almaz Dessie, Joni Rabiner, Di Coneybeare, Bo Shopsin, Andrew Hersh, Cristian Madar, Jeffrey Shupp, Laura S. Johnson, Jacob Avila, Kristin Dwyer, Peter Weimersheimer, Balasundar Raju, Jochen Kruecker, Alvin Chen:
Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos. 1-5 - Sai Sanjay Balaji, Keshab K. Parhi:
Classifying Patients with pFC Lesions from Healthy Controls Using Directed Information Based Effective Brain Connectivity Measured from the Encoding Phase of Working Memory Task. 1-5 - Charalampos Lamprou, Ioannis Ziogas, Efstratia Ganiti-Roumeliotou, Hessa Alfalahi, Ghada Alhussein, Aamna Alshehhi, Leontios J. Hadjileontiadis:
Deep Bispectral Image Analysis for Imu-Based Parkinsonian Tremor Detection. 1-5 - Nicolás Ayobi, Alejandra Pérez-Rondón, Santiago Rodríguez, Pablo Arbeláez:
MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation. 1-5 - Mengting Yang, Li-Ming Hsu, Shile Qi, Daoqiang Zhang, Xuyun Wen:
A Multi-View Clustering-Based Method for Individual and Group Cortical Parcellations with Resting-State fMRI. 1-5 - Artur Wysoczanski, Elsa D. Angelini, Yifei Sun, Benjamin M. Smith, Eric A. Hoffman, Karen Stukovsky, Matthew J. Budoff, Karol E. Watson, John Jeffrey Carr, Elizabeth C. Oelsner, R. Graham Barr, Andrew F. Laine:
Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography. 1-5 - Adnan Qayyum, Muhammad Bilal, Junaid Qadir, Massimo Caputo, Hunaid Vohra, Taofeek Akinosho, Ilhem Berrou, Faatihah Niyi-Odumosu, Michael Loizou, Anuoluwapo O. Ajayi, Sofiat Abioye:
SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection. 1-4 - Fabián Cano, Charlems Álvarez Jimenez, Eduardo Romero, Angel Cruz-Roa:
Ensemble of Unsupervised Learned Image Representations Based On Variational Autoencoders for Lung Adenocarcinoma Subtype Differentiation. 1-5 - Shuo Yang, Huamin Wang, Zhe Wang, Xiao Bai, Guohua Cao:
DDHANet: Dual-Domain Hybrid Attention-Guided Network For CT Scatter Correction. 1-4 - Lu Zhao, Runping Hou, Wangyuan Zhao, Lu Qiu, Haohua Teng, Yuchen Han, Xiaolong Fu, Jun Zhao:
Self-Supervised Learning Guided Transformer for Survival Prediction of Lung Cancer Using Pathological Images. 1-5 - Edward G. A. Henderson, Marcel van Herk, Eliana M. Vasquez Osorio:
The Impact of Training Dataset Size and Ensemble Inference Strategies on Head and Neck Auto-Segmentation. 1-4 - Jia Zhao, Haijun Lei, Hai Xie, Pingkang Li, Yaling Liu, Guoming Zhang, Baiying Lei:
Dual-Branch Attention Network and Swin Spatial Pyramid Pooling for Retinopathy of Prematurity Classification. 1-4 - Alejandra Moreno, Juan A. Olmos, Luis Carlos Guayacán, Fabio Martínez:
Exploiting Multi-Head Attention Maps Into A Deep Riemannian Representation to Quantify Pulmonary Nodules. 1-4 - T. Osika, Ebrahim Ebrahim, Martin Styner, Marc Niethammer, T. Sawyer, Andinet Enquobahrie:
Harmonization Benchmarking Tool for Neuroimaging Datasets. 1-5 - Xi Liu, Hongming Li, Yong Fan:
Predicting Alzheimer's Disease and Quantifying Asymmetric Degeneration of the Hippocampus Using Deep Learning of Magnetic Resonance Imaging Data. 1-4 - Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman:
A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer Network. 1-5 - Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19. 1-4 - Sipei Li, Jianzhong He, Tengfei Xue, Guoqiang Xie, Shun Yao, Yuqian Chen, Erickson F. Torio, Yuanjing Feng, Dhiego Chaves de Almeida Bastos, Yogesh Rathi, Nikos Makris, Ron Kikinis, Wenya Linda Bi, Alexandra J. Golby, Lauren J. O'Donnell, Fan Zhang:
DEEPRGVP: A novel microstructure-informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography. 1-5 - Zhongxian Wang, Zhiwen Wang, Zhongzhou Zhang, Ziyuan Yang, Maosong Ran, Hui Yu, Zhenyang Yu, Yi Zhang:
Dynamic Focus Mechanism-Based Dual-Domain Reconstruction Network for Accelerated MRI. 1-5 - Waleed Fathy, Guillaume Emeriaud, Farida Cheriet:
Prediction of ICU Readmission Using LightGBM Classifier. 1-4 - Juliette Moreau, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel:
Difficulty Metrics Study for Curriculum-Based Deep Learning in the Context of Stroke Lesion Segmentation. 1-5 - Kuang-Cheng Lo, Cheng-Wei Lin, Hsin-Ying Lee, Hao Hsu, Winston H. Hsu, Tung-Hung Su, Shih-Yu Chen, Yung-Ming Jeng:
Self-Training with High-Dimensional Markers for Cell Instance Segmentation. 1-5 - Pengfei Gu, Yejia Zhang, Chaoli Wang, Danny Z. Chen:
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation. 1-5 - Rohan Padhy, Akansh Maurya, Kunal Dasharath Patil, Kalluri Ramakrishna, Ganapathy Krishnamurthi:
Parse Challenge 2022: Pulmonary Arteries Segmentation Using Swin U-net Transformer(Swin UNETR) and U-net. 1-4 - Gabriel Lepetit-Aimon, Marie-Carole Boucher, Renaud Duval, Farida Cheriet:
Steered Convolutional Neurons to Better Learn the Classification of Retinal Vessels. 1-5 - Bokai Zhang, Alberto Fung, Meysam Torabi, Jocelyn Barker, Geneviève Foley, Rami Abukhalil, Mary Lynn Gaddis, Svetlana Petculescu:
C-ECT: Online Surgical Phase Recognition with Cross-Enhancement Causal Transformer. 1-5 - Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang, Jinyoung Yeo:
Evidence-Empowered Transfer Learning for Alzheimer's Disease. 1-5 - Qinghui Liu, Bradley J. MacIntosh, Till Schellhorn, Karoline Skogen, Kyrre Eeg Emblem, Atle Bjørnerud:
Voxels Intersecting Along Orthogonal Levels Attention U-Net for Intracerebral Haemorrhage Segmentation in Head CT. 1-5 - Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan:
Deep Clustering Survival Machines with Interpretable Expert Distributions. 1-4
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