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ORCIDIEEE Journal of Biomedical and Health Informatics, Volume 26
Volume 26, Number 1, January 2022
- Huazhu Fu, Tao Zhou
, Shuo Li, Alejandro F. Frangi:
Guest Editorial Generative Adversarial Networks in Biomedical Image Computing. 4-6
- Ruixuan Zhang, Wenhuan Lu, Xi Wei, Jialin Zhu, Han Jiang, Zhiqiang Liu, Jie Gao, Xuewei Li, Jian Yu, Mei Yu, Ruiguo Yu:
A Progressive Generative Adversarial Method for Structurally Inadequate Medical Image Data Augmentation. 7-16 - Bo Zhan, Di Li, Xi Wu, Jiliu Zhou, Yan Wang:
Multi-Modal MRI Image Synthesis via GAN With Multi-Scale Gate Mergence. 17-26 - Bo Peng, Bingzheng Liu, Yi Bin, Lili Shen, Jianjun Lei:
Multi-Modality MR Image Synthesis via Confidence-Guided Aggregation and Cross-Modality Refinement. 27-35 - Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu:
Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer's Disease. 36-43 - Yuhao Niu, Lin Gu, Yitian Zhao, Feng Lu:
Explainable Diabetic Retinopathy Detection and Retinal Image Generation. 44-55 - Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Ling Shao:
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. 56-66 - Xiuquan Du, Yueguo Liu:
Constraint-Based Unsupervised Domain Adaptation Network for Multi-Modality Cardiac Image Segmentation. 67-78 - Jun Li, Chaolu Feng, Xiaozhu Lin, Xiaohua Qian:
Utilizing GCN and Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation. 79-89 - Haijun Lei, Weixin Liu, Hai Xie, Benjian Zhao, Guanghui Yue, Baiying Lei:
Unsupervised Domain Adaptation Based Image Synthesis and Feature Alignment for Joint Optic Disc and Cup Segmentation. 90-102 - Jun Chen, Guang Yang, Habib Khan, Heye Zhang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong, David N. Firmin, Jennifer Keegan:
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets. 103-114 - Ziyue Zhang, Zexuan Ji, Qiang Chen, Songtao Yuan, Wen Fan:
Joint Optimization of CycleGAN and CNN Classifier for Detection and Localization of Retinal Pathologies on Color Fundus Photographs. 115-126 - Lalith Sharan, Gabriele Romano, Sven Koehler, Halvar Kelm, Matthias Karck, Raffaele De Simone, Sandy Engelhardt:
Mutually Improved Endoscopic Image Synthesis and Landmark Detection in Unpaired Image-to-Image Translation. 127-138 - Yi Zhou, Kai Yu, Meng Wang, Yuhui Ma, Yuanyuan Peng, Zhongyue Chen, Weifang Zhu, Fei Shi, Xinjian Chen:
Speckle Noise Reduction for OCT Images Based on Image Style Transfer and Conditional GAN. 139-150 - Sukun Tian, Miaohui Wang, Ning Dai, Haifeng Ma, Linlin Li, Luca Fiorenza, Yuchun Sun, Yangmin Li:
DCPR-GAN: Dental Crown Prosthesis Restoration Using Two-Stage Generative Adversarial Networks. 151-160 - Heekyung Koh, Tae Young Park, Yong An Chung, Jong-Hwan Lee, Hyungmin Kim:
Acoustic Simulation for Transcranial Focused Ultrasound Using GAN-Based Synthetic CT. 161-171 - Yuexiang Li, Jiawei Chen, Dong Wei, Yanchun Zhu, Jianrong Wu, Junfeng Xiong, Yadong Gang, Wenbo Sun, Haibo Xu, Tianyi Qian, Kai Ma, Yefeng Zheng:
Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data. 172-182 - Ronan Doorley, Alex Berke, Ariel Noyman, Luis Alonso, Josep Ribó, Vanesa Arroyo, Marc Pons, Kent Larson:
Mobility and COVID-19 in Andorra: Country-Scale Analysis of High-Resolution Mobility Patterns and Infection Spread. 183-193 - Qingyun Ren, Bingyin Zhou, Liang Tian, Wei Guo:
Detection of COVID-19 With CT Images Using Hybrid Complex Shearlet Scattering Networks. 194-205 - Jianbiao Xiao, Jiahao Liu, Huanqi Yang, Qingsong Liu, Ning Wang, Zhen Zhu, Yulong Chen, Yu Long, Liang Chang, Liang Zhou, Jun Zhou:
ULECGNet: An Ultra-Lightweight End-to-End ECG Classification Neural Network. 206-217 - Jared Leitner, Po-Han Chiang, Sujit Dey:
Personalized Blood Pressure Estimation Using Photoplethysmography: A Transfer Learning Approach. 218-228 - Grazia Cicirelli, Donato Impedovo, Vincenzo Dentamaro, Roberto Marani, Giuseppe Pirlo, Tiziana D'Orazio:
Human Gait Analysis in Neurodegenerative Diseases: A Review. 229-242 - Yupeng Tian, Muammar Kabir, Mohammad Abdizadeh, Behnaz Poursartip, Amin Mahnam, Presish Bhattachan, Ladan Eskandarian, Milad Alizadeh Meghrazi, Idir Mellal, Milos R. Popovic, Milad Lankarany:
Modeling and Reproducing Textile Sensor Noise: Implications for Textile-Compatible Signal Processing Algorithms. 243-253 - Nicholas J. Cooney, Atul S. Minhas:
Humanoid Robot Based Platform to Evaluate the Efficacy of Using Inertial Sensors for Spasticity Assessment in Cerebral Palsy. 254-263 - Sun-Hee Kim, Hyung-Jeong Yang, Thi Anh Ngoc Nguyen, Sunil Kumar Prabhakar, Seong-Whan Lee:
WeDea: A New EEG-Based Framework for Emotion Recognition. 264-275 - Yefei Zhang, Zhidong Zhao, Yanjun Deng, Xiaohong Zhang, Yu Zhang:
Reconstruction of Missing Samples in Antepartum and Intrapartum FHR Measurements Via Mini-Batch-Based Minimized Sparse Dictionary Learning. 276-288 - Xiao Luan, Xinyu zheng, Weisheng Li, Linghui Liu, Yucheng Shu, Yi Guo:
Rubik-Net: Learning Spatial Information via Rotation-Driven Convolutions for Brain Segmentation. 289-300 - Yue Zhou, Houjin Chen, Yanfeng Li, Xuyang Cao, Shu Wang, Dinggang Shen:
Cross-Model Attention-Guided Tumor Segmentation for 3D Automated Breast Ultrasound (ABUS) Images. 301-311 - Yuchen Yuan, Lei Zhang, Lituan Wang, Haiying Huang:
Multi-Level Attention Network for Retinal Vessel Segmentation. 312-323 - Bruno Silva, Inês Pessanha, Jorge Correia-Pinto, Jaime C. Fonseca, Sandro F. Queiros:
Automatic Assessment of Pectus Excavatum Severity From CT Images Using Deep Learning. 324-333 - Bangming Gong, Jing Shi, Xiangmin Han, Huan Zhang, Yuemin Huang, Liwei Hu, Jun Wang, Jun Du, Jun Shi:
Diagnosis of Infantile Hip Dysplasia With B-Mode Ultrasound via Two-Stage Meta-Learning Based Deep Exclusivity Regularized Machine. 334-344 - Xindi Hu, Limin Wang, Xin Yang, Xu Zhou, Wufeng Xue, Yan Cao, Shengfeng Liu, Yuhao Huang, Shuangping Guo, Ning Shang, Dong Ni, Ning Gu:
Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip. 345-358 - Yajie Chen, Dingkang Liang, Xiang Bai, Yongchao Xu, Xin Yang:
Cell Localization and Counting Using Direction Field Map. 359-368 - Lin Deng, Yuzhong Zhong, Maoning Wang, Xiujuan Zheng, Jianwei Zhang:
Scale-Adaptive Deep Model for Bacterial Raman Spectra Identification. 369-378 - Ying Xiong, Weihua Peng, Qingcai Chen, Zhengxing Huang, Buzhou Tang:
A Unified Machine Reading Comprehension Framework for Cohort Selection. 379-387 - Julian Theis, William L. Galanter, Andrew D. Boyd, Houshang Darabi:
Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture. 388-399 - Cristhyne León, Sandie Cabon, Hugues Patural, Géraldine Gascoin, Cyril Flamant, Jean-Michel Roué, Géraldine Favrais, Alain Beuchée, Patrick Pladys, Guy Carrault:
Evaluation of Maturation in Preterm Infants Through an Ensemble Machine Learning Algorithm Using Physiological Signals. 400-410 - Jie Chen, Yingru Chen, Jianqiang Li, Jia Wang, Zijie Lin, Asoke K. Nandi:
Stroke Risk Prediction With Hybrid Deep Transfer Learning Framework. 411-422 - Zina M. Ibrahim, Daniel Bean, Thomas Searle, Linglong Qian, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson:
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. 423-435 - John Daniels, Pau Herrero, Pantelis Georgiou:
A Multitask Learning Approach to Personalized Blood Glucose Prediction. 436-445 - Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix Factorization. 446-457 - Chuan-Yuan Wang, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng:
Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization. 458-467 - Avishek Choudhury, Onur Asan, Turki Alelyani:
Exploring the Role of the Internet, Care Quality and Communication in Shaping Mental Health: Analysis of the Health Information National Trends Survey. 468-477 - Wanyi Fu, Shobhit Sharma, Ehsan Abadi, Alexandros-Stavros Iliopoulos, Qi Wang, Joseph Y. Lo, Xiaobai Sun, William Paul Segars, Ehsan Samei:
Corrections to "iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry". 478
Volume 26, Number 2, February 2022
- Xiaofang Xia, Yang Liu, Bo Yang, Yingfan Liu, Jiangtao Cui, Yinlong Zhang:
An Expectation Maximization Based Adaptive Group Testing Method for Improving Efficiency and Sensitivity of Large-Scale Screening of COVID-19. 482-493 - Cyprian Mataczynski, Agnieszka Kazimierska, Agnieszka Uryga, Malgorzata Burzynska, Andrzej Rusiecki, Magdalena Kasprowicz:
End-to-End Automatic Morphological Classification of Intracranial Pressure Pulse Waveforms Using Deep Learning. 494-504 - Maksym Gaiduk, Juan José Perea, Ralf Seepold, Natividad Martínez Madrid, Thomas Penzel, Martin Glos, Juan Antonio Ortega:
Estimation of Sleep Stages Analyzing Respiratory and Movement Signals. 505-514 - MohammadReza Mohebbian, Seyed Shahim Vedaei, Khan A. Wahid, Anh Dinh, Hamid Reza Marateb, Kouhyar Tavakolian:
Fetal ECG Extraction From Maternal ECG Using Attention-Based CycleGAN. 515-526 - Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals. 527-538 - María Dolores Peláez-Coca, Alberto Hernando, Jesús Lázaro, Eduardo Gil:
Impact of the PPG Sampling Rate in the Pulse Rate Variability Indices Evaluating Several Fiducial Points in Different Pulse Waveforms. 539-549 - Minsoo Yeo, Hoonsuk Byun, Jiyeon Lee, Jungick Byun, Hak-Young Rhee, Wonchul Shin, Heenam Yoon:
Respiratory Event Detection During Sleep Using Electrocardiogram and Respiratory Related Signals: Using Polysomnogram and Patch-Type Wearable Device Data. 550-560 - Marco Di Rienzo, Alberto Avolio, Giovannibattista Rizzo, Zeynep Melike Isilay, Luisa Cucugliato:
Multi-Site Pulse Transit Times, Beat-to-Beat Blood Pressure, and Isovolumic Contraction Time at Rest and Under Stressors. 561-571 - Teeranan Pokaprakarn, Rebecca Kitzmiller, J. Randall Moorman, Douglas E. Lake, Ashok Kumar Krishnamurthy, Michael R. Kosorok:
Sequence to Sequence ECG Cardiac Rhythm Classification Using Convolutional Recurrent Neural Networks. 572-580 - Jae Sang Heo, Rahim Soleymanpour, Jessica Lam, Daniel Goldberg, Edward Large, Sung Kyu Park, Insoo Kim:
Wide-Range Motion Recognition Through Insole Sensor Using Multi-Walled Carbon Nanotubes and Polydimethylsiloxane Composites. 581-588 - Yi Yang, Qiang Gao, Yu Song, Xiaolin Song, Zemin Mao, Junjie Liu:
Investigating of Deaf Emotion Cognition Pattern By EEG and Facial Expression Combination. 589-599 - Junfeng Gao, Lingyun Gu, Xiangde Min, Pan Lin, Chenhong Li, Quan Zhang, Nini Rao:
Brain Fingerprinting and Lie Detection: A Study of Dynamic Functional Connectivity Patterns of Deception Using EEG Phase Synchrony Analysis. 600-613 - Yue Zhang, Chengtao Peng, Liying Peng, Yingying Xu, Lanfen Lin, Ruofeng Tong, Zhiyi Peng, Xiongwei Mao, Hongjie Hu, Yen-Wei Chen, Jingsong Li:
DeepRecS: From RECIST Diameters to Precise Liver Tumor Segmentation. 614-625 - Yingxue Xu, Guihua Wen, Pei Yang, Baochao Fan, Yang Hu, Mingnan Luo, Changjun Wang:
Task-Coupling Elastic Learning for Physical Sign-Based Medical Image Classification. 626-637 - Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yang Liu, Jiayu Zhou, Yao Zhao:
Margin Preserving Self-Paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation. 638-647 - Changqing Yang, Xinxin Zhou, Weifang Zhu, Dehui Xiang, Zhongyue Chen, Jin Yuan, Xinjian Chen, Fei Shi:
Multi-Discriminator Adversarial Convolutional Network for Nerve Fiber Segmentation in Confocal Corneal Microscopy Images. 648-659 - Luca Tomasetti, Liv Jorunn Høllesli, Kjersti Engan, Kathinka Dæhli Kurz, Martin Wilhelm Kurz, Mahdieh Khanmohammadi:
Machine Learning Algorithms Versus Thresholding to Segment Ischemic Regions in Patients With Acute Ischemic Stroke. 660-672 - Jianhong Cheng, Min Gao, Jin Liu, Hailin Yue, Hulin Kuang, Jun Liu, Jianxin Wang:
Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading. 673-684 - Rui Li, Qi Jiang:
A Photogrammetric Method for the Measurement of Three-Dimensional Cervical Range of Motion. 685-695 - Suil Jeon, Kyoung Min Lee, Seungbum Koo:
Anomalous Gait Feature Classification From 3-D Motion Capture Data. 696-703 - Yanan Shao, Hoda S. Hashemi, Paula Gordon, Linda Warren, Z. Jane Wang, Robert Rohling, Septimiu Salcudean:
Breast Cancer Detection Using Multimodal Time Series Features From Ultrasound Shear Wave Absolute Vibro-Elastography. 704-714 - Huiying Wen, Wei Zheng, Min Li, Qing Li, Qiang Liu, Jianhua Zhou, Zhong Liu, Xin Chen:
Multiparametric Quantitative US Examination of Liver Fibrosis: A Feature-Engineering and Machine-Learning Based Analysis. 715-726 - Rui Zhu, Xiongfei Li, Xiaoli Zhang, Jing Wang:
HID: The Hybrid Image Decomposition Model for MRI and CT Fusion. 727-739 - Charmaine Chia, Matteo Sesia, Chi-Sing Ho, Stefanie S. Jeffrey, Jennifer A. Dionne, Emmanuel J. Candès, Roger T. Howe:
Interpretable Classification of Bacterial Raman Spectra With Knockoff Wavelets. 740-748 - Yuzhou Zhuang, Hong Liu, Enmin Song, Guangzhi Ma, Xiangyang Xu, Chih-Cheng Hung:
APRNet: A 3D Anisotropic Pyramidal Reversible Network With Multi-Modal Cross-Dimension Attention for Brain Tissue Segmentation in MR Images. 749-761 - Hongxu Yang, Caifeng Shan, R. Arthur Bouwman, Lukas R. C. Dekker, Alexander F. Kolen, Peter H. N. de With:
Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning. 762-773 - Yuqiang Zhang, Min Liu, Fuhao Yu, Tieyong Zeng, Yaonan Wang:
An O-Shape Neural Network With Attention Modules to Detect Junctions in Biomedical Images Without Segmentation. 774-785 - Jian-Wei Zhang, Wei Chen, K. Ina Ly, Xubin Zhang, Fan Yan, Justin Jordan, Gordon J. Harris, Scott Plotkin, Pengyi Hao, Wenli Cai:
DINs: Deep Interactive Networks for Neurofibroma Segmentation in Neurofibromatosis Type 1 on Whole-Body MRI. 786-797 - Pascal Lu, Olivier Colliot:
Multilevel Survival Modeling With Structured Penalties for Disease Prediction From Imaging Genetics Data. 798-808 - Breanna P. Swan, Maria E. Mayorga, Julie S. Ivy:
The SMART Framework: Selection of Machine Learning Algorithms With ReplicaTions - A Case Study on the Microvascular Complications of Diabetes. 809-817 - Niamh McCombe, Shuo Liu, Xuemei Ding, Girijesh Prasad, Magda Bucholc, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin:
Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis. 818-827 - Yu Fu, Peng Xue, Meirong Ren, Enqing Dong:
Harmony Loss for Unbalanced Prediction. 828-839 - Yuzhen Zhang, Cheng Xie, Ling Xue, Yanyun Tao, Guoqi Yue, Bin Jiang:
A Post-Hoc Interpretable Ensemble Model to Feature Effect Analysis in Warfarin Dose Prediction for Chinese Patients. 840-851 - Lei Cao, Huijun Zhang, Ningyun Li, Xin Wang, Wisong Ri, Ling Feng:
Category-Aware Chronic Stress Detection on Microblogs. 852-864 - Wanqing Xie, Lizhong Liang, Yao Lu, Chen Wang, Jihong Shen, Hui Luo, Xiaofeng Liu:
Interpreting Depression From Question-Wise Long-Term Video Recording of SDS Evaluation. 865-875 - Zekai Wang, Bing Yao:
Multi-Branching Temporal Convolutional Network for Sepsis Prediction. 876-887 - Leixin Nie, Chao Li, Franck Marzani, Haibin Wang, François Thibouw, Alexis Bozorg Grayeli:
Classification of Wideband Tympanometry by Deep Transfer Learning With Data Augmentation for Automatic Diagnosis of Otosclerosis. 888-897 - Saleh Baghersalimi, Tomás Teijeiro, David Atienza, Amir Aminifar:
Personalized Real-Time Federated Learning for Epileptic Seizure Detection. 898-909 - Xue Hu, Ferdinando Rodriguez y Baena, Fabrizio Cutolo:
Head-Mounted Augmented Reality Platform for Markerless Orthopaedic Navigation. 910-921 - Seungwon Jung, Jaeuk Moon, Sungwoo Park, Eenjun Hwang:
Self-Attention-Based Deep Learning Network for Regional Influenza Forecasting. 922-933
Volume 26, Number 3, March 2022
- Shaohua Wan, Michele Nappi, Chen Chen, Stefano Berretti:
Guest Editorial Emerging IoT-Driven Smart Health: From Cloud to Edge. 937-938 - Xiao Zhang, Hongzheng Yu, Yang Yang, Jingjing Gu, Yujun Li, Fuzhen Zhuang, Dongxiao Yu, Zhaochun Ren:
HarMI: Human Activity Recognition Via Multi-Modality Incremental Learning. 939-951 - Peiqi Kang, Jinxuan Li, Bingfei Fan, Shuo Jiang, Peter B. Shull:
Wrist-Worn Hand Gesture Recognition While Walking via Transfer Learning. 952-961 - Luigi Di Biasi, Alessia Auriemma Citarella, Michele Risi, Genoveffa Tortora:
A Cloud Approach for Melanoma Detection Based on Deep Learning Networks. 962-972 - Priyan Malarvizhi Kumar, Choong Seon Hong, Fatemeh Afghah, Gunasekaran Manogaran, Keping Yu, Qiaozhi Hua, Jiechao Gao:
Clouds Proportionate Medical Data Stream Analytics for Internet of Things-Based Healthcare Systems. 973-982 - Ardhendu Sekhar, Soumen Biswas, Ranjay Hazra, Arun Kumar Sunaniya, Amrit Mukherjee, Lixia Yang:
Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System. 983-991 - Dominik Klepl, Fei He, Min Wu, Matteo De Marco, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis:
Characterising Alzheimer's Disease With EEG-Based Energy Landscape Analysis. 992-1000 - Mohammad Shahbakhti, Matin Beiramvand, Izabela Rejer, Piotr Augustyniak, Anna Broniec-Wójcik, Michal Wierzchon, Vaidotas Marozas:
Simultaneous Eye Blink Characterization and Elimination From Low-Channel Prefrontal EEG Signals Enhances Driver Drowsiness Detection. 1001-1012 - Domenico Minici, Guglielmo Cola, Antonella Giordano, Silvana Antoci, Elena Girardi, Mauro Di Bari, Marco Avvenuti:
Towards Automated Assessment of Frailty Status Using a Wrist-Worn Device. 1013-1022 - Amir Hossein Ansari, Kirubin Pillay, Anneleen Dereymaeker, Katrien Jansen, Sabine Van Huffel, Gunnar Naulaers, Maarten De Vos:
A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels. 1023-1033 - Xiao Gu, Yao Guo, Guang-Zhong Yang, Benny Lo:
Cross-Domain Self-Supervised Complete Geometric Representation Learning for Real-Scanned Point Cloud Based Pathological Gait Analysis. 1034-1044 - Kosuke Fukumori, Noboru Yoshida, Hidenori Sugano, Madoka Nakajima, Toshihisa Tanaka:
Epileptic Spike Detection Using Neural Networks With Linear-Phase Convolutions. 1045-1056 - Rong Tao, Shulin Zhang, Yuexia Wang, Xianqiang Mi, Jian Ma, Chengxing Shen, Guoyan Zheng:
MCG-Net: End-to-End Fine-Grained Delineation and Diagnostic Classification of Cardiac Events From Magnetocardiographs. 1057-1067 - Ashirbad Pradhan, Jiayuan He, Ning Jiang:
Score, Rank, and Decision-Level Fusion Strategies of Multicode Electromyogram-Based Verification and Identification Biometrics. 1068-1079 - Yangqin Feng, Xinxing Xu, Yan Wang, Xiaofeng Lei, Soo Kng Teo, Jordan Zheng Ting Sim, Yonghan Ting, Liangli Zhen, Joey Tianyi Zhou, Yong Liu, Cher Heng Tan:
Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images. 1080-1090 - Qing Liu, Haotian Liu, Yang Zhao, Yixiong Liang:
Dual-Branch Network With Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation in Color Fundus Images. 1091-1102 - Huan Lao, Xuejun Zhang:
Regression and Classification of Alzheimer's Disease Diagnosis Using NMF-TDNet Features From 3D Brain MR Image. 1103-1115 - Meng Wang, Huiyan Jiang, Tianyu Shi, Yu-Dong Yao:
HD-RDS-UNet: Leveraging Spatial-Temporal Correlation Between the Decoder Feature Maps for Lymphoma Segmentation. 1116-1127 - Xiaofeng Liu, Fangxu Xing, Chao Yang, Chung-Chieh Jay Kuo, Suma Babu, Georges El Fakhri, Thomas Jenkins, Jonghye Woo:
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI. 1128-1139 - Xiangyu Li, Gongning Luo, Wei Wang, Kuanquan Wang, Yue Gao, Shuo Li:
Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation. 1140-1151 - Trinh Thi Le Vuong, Boram Song, Kyungeun Kim, Yong M. Cho, Jin Tae Kwak:
Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images. 1152-1163 - Zhao Yin, Victor Geraedts, Ziqi Wang, Maria Fiorella Contarino, Hamdi Dibeklioglu, Jan van Gemert:
Assessment of Parkinson's Disease Severity From Videos Using Deep Architectures. 1164-1176 - Yuting He, Tiantian Li, Rongjun Ge, Jian Yang, Youyong Kong, Jian Zhu, Huazhong Shu, Guanyu Yang, Shuo Li:
Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching. 1177-1187 - Vassilis Tsafas, Iason Oikonomidis, Evangelia Gavgiotaki, Eleftheria Tzamali, Georgios Tzedakis, Costas Fotakis, Irene Athanassakis, George Filippidis:
Application of a Deep-Learning Technique to Non-Linear Images From Human Tissue Biopsies for Shedding New Light on Breast Cancer Diagnosis. 1188-1195