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ORCIDJournal of Imaging Informatics in Medicine, Volume 38
Volume 38, Number 1, 2025
- David A. Clunie, Fred W. Prior, Michael W. Rutherford, Stephen Moore, William Parker, Haridimos Kondylakis, Christian Ludwigs, Juergen Klenk, Robert Lou, Lawrence O'Sullivan, Daniel S. Marcus, Jiri Dobes, Abraham Gutman, Keyvan Farahani:
Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification - Part 1: Report of the MIDI Task Group - Best Practices and Recommendations, Tools for Conventional Approaches to De-identification, International Approaches to De-identification, and Industry Panel on Image De-identification. 1-15 - David A. Clunie, Adam Taylor, Tom Bisson, David A. Gutman, Ying Xiao, Christopher G. Schwarz, Douglas N. Greve, Judy Gichoya, George Shih, Adrienne S. Kline, Benjamin Kopchick, Keyvan Farahani:
Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification - Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and Pipeline. 16-30 - Chia-Yin Lu, Yu-Hsin Wang, Hsiu-Ling Chen, Yu-Xin Goh, I-Min Chiu, Ya-Yuan Hou, Kuei-Hong Kuo, Wei-Che Lin:
Artificial Intelligence Application in Skull Bone Fracture with Segmentation Approach. 31-46 - Yi Li, Yingnan Zhao, Ping Yang, Caihong Li, Liu Liu, Xiaofang Zhao, Huali Tang, Yun Mao:
Adrenal Volume Quantitative Visualization Tool by Multiple Parameters and an nnU-Net Deep Learning Automatic Segmentation Model. 47-59 - Xiaohong Wang, Zhongkang Lu, Su Huang, Yonghan Ting, Jordan Zheng Ting Sim, Wenxiang Chen, Cher Heng Tan, Weimin Huang:
TransMVAN: Multi-view Aggregation Network with Transformer for Pneumonia Diagnosis. 60-73 - Myungeun Lee, Jong Hyo Kim, Wookjin Choi, Ki Hong Lee:
AI-assisted Segmentation Tool for Brain Tumor MR Image Analysis. 74-83 - Martin Bittner-Frank, Andreas Strassl, Ewald Unger, Lena Hirtler, Barbara Eckhart, Markus Koenigshofer, Alexander Stoegner, Kevin Staats, Franz Kainberger, Reinhard Windhager, Francesco Moscato, Emir Benca:
Minimal Detectable Bone Fracture Gaps in CT Images and Digital Three-Dimensional (3D) Radii Models. 84-93 - Viet-Tien Pham, Tu Ngoc Vu, Hoang-Minh-Quang Le, Van-Truong Pham, Thi-Thao Tran:
CapNet: An Automatic Attention-Based with Mixer Model for Cardiovascular Magnetic Resonance Image Segmentation. 94-123 - Peikai Huang, Hongyi Li, Fenghuan Lin, Ming Lei, Meng Zhang, Jingfeng Liu, Junchen, Junfei Hou, Mengqiang Xiao:
Diagnostic Accuracy of Ultra-Low Dose CT Compared to Standard Dose CT for Identification of Fresh Rib Fractures by Deep Learning Algorithm. 124-133 - Huaizhen Wang, Jizhen Li, Jinming Chen, Meilin Li, Jiahao Liu, Lingzhen Wei, Qingshi Zeng:
Multi-parameter MRI-Based Machine Learning Model to Evaluate the Efficacy of STA-MCA Bypass Surgery for Moyamoya Disease: A Pilot Study. 134-147 - Mathilde Lafon, Sophie Cousin, Mélissa Alamé, Stéphanie Nougaret, Antoine Italiano, Amandine Crombé:
Metastatic Lung Adenocarcinomas: Development and Evaluation of Radiomic-Based Methods to Measure Baseline Intra-Patient Inter-Tumor Lesion Heterogeneity. 148-164 - Jinjin Hai, Jian Chen, Kai Qiao, Zhihai Su, Hai Lu, Bin Yan:
Policy Learning for Actively Labeled Sample Selection on Lumbar Semi-supervised Classification. 165-176 - Mateo Mikulic, Dominik Vicevic, Eszter Nagy, Mateja Napravnik, Ivan Stajduhar, Sebastian Tschauner, Franko Hrzic:
Balancing Performance and Interpretability in Medical Image Analysis: Case study of Osteopenia. 177-190 - Kexin Jiang, Yuhan Xie, Xintao Zhang, Xinru Zhang, Beibei Zhou, Mianwen Li, Yanjun Chen, Jiaping Hu, Zhiyong Zhang, Shaolong Chen, Keyan Yu, Changzhen Qiu, Xiaodong Zhang:
Fully and Weakly Supervised Deep Learning for Meniscal Injury Classification, and Location Based on MRI. 191-202 - Perihan Gülsah Gülhan, Güzin Özmen:
The Use of fMRI Regional Analysis to Automatically Detect ADHD Through a 3D CNN-Based Approach. 203-216 - Allaa Hussein, Sherin M. Youssef, Magdy A. Ahmed, Noha Ghatwary:
MGB-Unet: An Improved Multiscale Unet with Bottleneck Transformer for Myositis Segmentation from Ultrasound Images. 217-228 - Jiaoju Wang, Haoran Feng, Alphonse Houssou Hounye, Meiling Tang, Yiming Shu, Muzhou Hou, Shuijiao Chen:
A Boundary-Enhanced Decouple Fusion Segmentation Network for Diagnosis of Adenomatous Polyps. 229-244 - Shivaprasad Biradar, Virupakshappa:
AG-MSTLN-EL: A Multi-source Transfer Learning Approach to Brain Tumor Detection. 245-261 - Wenwen Gu, Guodong Zhang, Ronghui Ju, Suran Wang, Yanlin Li, Tingyu Liang, Wei Guo, Zhaoxuan Gong:
TransDiffSeg: Transformer-Based Conditional Diffusion Segmentation Model for Abdominal Multi-Objective. 262-280 - Yeong Hun Kang, Jin Youp Kim, Young Jae Kim, Sung Hyun Kim, Kwang Gi Kim, Chae-Seo Rhee:
Airway and Airway Obstruction Site Segmentation Study Using U-Net with Drug-Induced Sleep Endoscopy Images. 281-290 - Minho Choi, Jun-Su Jang:
Heatmap-Based Active Shape Model for Landmark Detection in Lumbar X-ray Images. 291-308 - Lening Li, Teng Zhang, Fan Lin, Yuting Li, Man-Sang Wong:
Automated 3D Cobb Angle Measurement Using U-Net in CT Images of Preoperative Scoliosis Patients. 309-317 - Merlijn Sevenster, Kenneth F. M. Hergaarden, Omar Hertgers, Natalie H. M. Kruithof, Joost J. H. Roelofs, Jessica C. Foster-Dingley, Stephan R. Romeijn, Duy Duc Nguyen, Sandra Vosbergen, Hildo J. Lamb:
A Novel Radiology Communication Tool to Reduce Workflow Interruptions: Clinical Evaluation of RadConnect. 318-326 - Koichiro Yasaka, Jun Kanzawa, Noriko Kanemaru, Saori Koshino, Osamu Abe:
Fine-Tuned Large Language Model for Extracting Patients on Pretreatment for Lung Cancer from a Picture Archiving and Communication System Based on Radiological Reports. 327-334 - Chih-Hung Wang, Tianyu Hwang, Yu-Sen Huang, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang, Chien-Hua Huang:
Deep Learning-Based Localization and Detection of Malpositioned Nasogastric Tubes on Portable Supine Chest X-Rays in Intensive Care and Emergency Medicine: A Multi-center Retrospective Study. 335-345 - Rayan A. Ahyad, Yasir Zaylaee, Tasneem Hassan, Ohood Khoja, Yasser Noorelahi, Ahmed Alharthy, Hatim Alabsi, Reem Mimish, Arwa Badeeb:
Cutting Edge to Cutting Time: Can ChatGPT Improve the Radiologist's Reporting? 346-356 - Osnat Luxenburg, Sharona Vaknin, Rachel Wilf-Miron, Mor Saban:
Evaluating the Accuracy and Impact of the ESR-iGuide Decision Support Tool in Optimizing CT Imaging Referral Appropriateness. 357-367 - Neil Chatterjee, Jeffrey T. Duda, James C. Gee, Ameena Elahi, Kristen Martin, Van Doan, Hannah Liu, Matthew T. MacLean, Daniel J. Rader, Arijitt Borthakur, Charles E. Kahn Jr., Hersh Sagreiya, Walter R. Witschey:
A Cloud-Based System for Automated AI Image Analysis and Reporting. 368-379 - Jie Zhou, Yujia Xia, Xiaolei Xun, Zhangsheng Yu:
Deep Learning-Based Detect-Then-Track Pipeline for Treatment Outcome Assessments in Immunotherapy-Treated Liver Cancer. 380-393 - Fangzheng Liu, Yuying Zang, Limei Feng, Xinyao Shi, Wentao Wu, Xin Liu, Yifan Song, Jintian Xu, Songbai Gui, Xuzhu Chen:
Concomitant Prediction of the Ki67 and PIT-1 Expression in Pituitary Adenoma Using Different Radiomics Models. 394-409 - Di Zhong, Xiao-Qiang Gao, Hai-Xia Li, Hong-Bo Wang, Ying Liu:
Analysis of Diagnostic Efficacy of the International Ovarian Tumor Analysis ADNEX Model and the ACR O-RADS US (Ovarian-Adnexal Reporting and Data System) for Benign and Malignant Ovarian Tumors: A Retrospective Study in a Tumor Center in Northeast China. 410-421 - Sunyi Zheng, Xiaonan Cui, Yuxuan Sun, Jingxiong Li, Honglin Li, Yunlong Zhang, Pingyi Chen, Xueping Jing, Zhaoxiang Ye, Lin Yang:
Benchmarking PathCLIP for Pathology Image Analysis. 422-438 - Fatemeh Ghezloo, Oliver Chang, Stevan R. Knezevich, Kristin C. Shaw, Kia Gianni Thigpen, Lisa M. Reisch, Linda G. Shapiro, Joann G. Elmore:
Robust ROI Detection in Whole Slide Images Guided by Pathologists' Viewing Patterns. 439-454 - David Jozef Hresko, Peter Drotár, Quoc Cuong Ngo, Dinesh Kant Kumar:
Enhanced Domain Adaptation for Foot Ulcer Segmentation Through Mixing Self-Trained Weak Labels. 455-466 - Yul Hee Lee, Ji-Su Shim, Young Jae Kim, Ji Soo Jeon, Sung-Yoon Kang, Sang Pyo Lee, Sang Min Lee, Kwang Gi Kim:
Allergy Wheal and Erythema Segmentation Using Attention U-Net. 467-475 - Elena Goyanes, Joaquim de Moura, José Ignacio Fernández-Vigo, Julián García-Feijoó, Jorge Novo, Marcos Ortega:
3D Features Fusion for Automated Segmentation of Fluid Regions in CSCR Patients: An OCT-based Photodynamic Therapy Response Analysis. 476-495 - Pengfei Cai, Biyuan Li, Gaowei Sun, Bo Yang, Xiuwei Wang, Chunjie Lv, Jun Yan:
DEAF-Net: Detail-Enhanced Attention Feature Fusion Network for Retinal Vessel Segmentation. 496-519 - Usharani Bhimavarapu:
Retina Blood Vessels Segmentation and Classification with the Multi-featured Approach. 520-533 - Shota Okazaki, Yuichi Mine, Yuki Yoshimi, Yuko Iwamoto, Shota Ito, Tzu-Yu Peng, Taku Nishimura, Tomoya Suehiro, Yuma Koizumi, Ryota Nomura, Kotaro Tanimoto, Naoya Kakimoto, Takeshi Murayama:
RadImageNet and ImageNet as Datasets for Transfer Learning in the Assessment of Dental Radiographs: A Comparative Study. 534-544 - Büsra Sahin, Ilknur Eninanç:
A Deep Learning-Based Approach to Detect Lamina Dura Loss on Periapical Radiographs. 545-555 - Mediha Erturk, Muhammet Üsame Öziç, Melek Tassoker:
Deep Convolutional Neural Network for Automated Staging of Periodontal Bone Loss Severity on Bite-wing Radiographs: An Eigen-CAM Explainability Mapping Approach. 556-575 - Joseph N. Stember, Katharine Dishner, Mehrnaz Jenabi, Luca Pasquini, Kyung K. Peck, Atin Saha, Akash Shah, Bernard O'malley, Ahmet Turan Ilica, Lori Kelly, Julio Arevalo-Perez, Vaios Hatzoglou, Andrei I. Holodny, Hrithwik Shalu:
Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization. 576-586 - Mahboube Sadat Hosseini, Seyyed Mahmoud Reza Aghamiri, Ali Fatemi Ardekani, Seyed Mehdi Bagherimofidi, Mojtaba Safari:
AutoCorNN: An Unsupervised Physics-Aware Deep Learning Model for Geometric Distortion Correction of Brain MRI Images Towards MR-Only Stereotactic Radiosurgery. 587-601 - Bincheng Peng, Chao Fan:
IEA-Net: Internal and External Dual-Attention Medical Segmentation Network with High-Performance Convolutional Blocks. 602-614 - Martina Paccini, Giacomo Paschina, Stefano De Beni, Andrei Stefanov, Velizar Kolev, Giuseppe Patanè:
US & MR/CT Image Fusion with Markerless Skin Registration: A Proof of Concept. 615-628 - Mohammad Javadi, Rishabh Sharma, Panagiotis Tsiamyrtzis, Andrew G. Webb, Ernst L. Leiss, Nikolaos V. Tsekos:
Let UNet Play an Adversarial Game: Investigating the Effect of Adversarial Training in Enhancing Low-Resolution MRI. 629-645 - Kathrin Krieger, Jan Egger, Jens Kleesiek, Matthias Gunzer, Jianxu Chen:
Multisensory Extended Reality Applications Offer Benefits for Volumetric Biomedical Image Analysis in Research and Medicine. 646-655 - Mana Moassefi:
My Experience with Academy - Advancing Innovation in Imaging. 656-659 - Monika Pytlarz, K. Wojnicki, P. Pilanc, B. Kaminska, Alessandro Crimi:
Correction to: Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features. 660 - Kepei Xu, Meiqi Hua, Ting Mai, Xiaojing Ren, Xiaozheng Fang, Chunjie Wang, Min Ge, Hua Qian, Maosheng Xu, Ruixin Zhang:
Correction: A Multiparametric MRI-based Radiomics Model for Stratifying Postoperative Recurrence in Luminal B Breast Cancer. 661
Volume 38, Number 2, 2025
- Mitchell M. Goldburgh, Michael A. Lachance, Julia Komissarchik, Julia Willamena Patriarche, Joe Chapa, Oliver Chen, Priya Deshpande, Matthew Geeslin, Nina Kottler, Jennifer Sommer, Marcus Ayers, Vedrana Vujic:
2023 Industry Perceptions Survey on AI Adoption and Return on Investment. 663-670 - Eric K. Lai, Evan Slavik, Bessie Ganim, Laurie A. Perry, Caitlin Treuting, Troy Dee, Melissa Osborne, Cieara Presley, Alexander J. Towbin:
Implementing a Photodocumentation Program. 671-680 - Tsung-Ying Ho, Shu-Hua Huang, Chi-Wei Huang, Kun-Ju Lin, Jung-Lung Hsu, Kuo-Lun Huang, Ko-Ting Chen, Chiung-Chih Chang, Ing-Tsung Hsiao, Sheng-Yao Huang:
Differences in Topography of Individual Amyloid Brain Networks by Amyloid PET Images in Healthy Control, Mild Cognitive Impairment, and Alzheimer's Disease. 681-693 - Kiduk Kim, Kyungjin Cho, Yujeong Eo, Jeeyoung Kim, Jihye Yun, Yura Ahn, Joon Beom Seo, Gil-Sun Hong, Namkug Kim:
Screening Patient Misidentification Errors Using a Deep Learning Model of Chest Radiography: A Seven Reader Study. 694-702 - Yuqin Min, Jing Li, Shouqiang Jia, Yuehua Li, Shengdong Nie:
Automated Cerebrovascular Segmentation and Visualization of Intracranial Time-of-Flight Magnetic Resonance Angiography Based on Deep Learning. 703-716 - Peter I. Kamel, Adway U. Kanhere, Pranav Kulkarni, Mazhar Khalid, Rachel Steger, Uttam Bodanapally, Dheeraj Gandhi, Vishwa S. Parekh, Paul H. Yi:
Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI Sequences. 717-726 - Rupali Vyas, Deepak Rao Khadatkar:
Ensemble of Deep Learning Architectures with Machine Learning for Pneumonia Classification Using Chest X-rays. 727-746 - Pang-Yen Liu, Shi-Chue Hsing, Dung-Jang Tsai, Chin Lin, Chin-Sheng Lin, Chih-Hung Wang, Wen-Hui Fang:
A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension. 747-756 - Vasanthi Durairaj, Palani Uthirapathy:
Interactive Multi-scale Fusion: Advancing Brain Tumor Detection Through Trans-IMSM Model. 757-774 - En-Ting Lin, Shao-Chi Lu, An-Sheng Liu, Chia-Hsin Ko, Chien-Hua Huang, Chu-Lin Tsai, Li-Chen Fu:
Deep Learning-Based Model for Non-invasive Hemoglobin Estimation via Body Parts Images: A Retrospective Analysis and a Prospective Emergency Department Study. 775-792 - Mohammadreza Zandehshahvar, Marly van Assen, Eun Young Kim, Yashar Kiarashi, Vikranth Keerthipati, Giovanni Tessarin, Emanuele Muscogiuri, Arthur E. Stillman, Peter Filev, Amir H. Davarpanah, Eugene A. Berkowitz, Stefan Tigges, Scott J. Lee, Brianna L. Vey, Carlo Nicola De Cecco, Ali Adibi:
Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset. 793-803 - Weiguo Cao, Marc Jason Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbing Lu, Almas F. Abbasi, Perry J. Pickhardt:
Lesion Classification by Model-Based Feature Extraction: A Differential Affine Invariant Model of Soft Tissue Elasticity in CT Images. 804-818 - Guodong Zhang, Wenwen Gu, Tingyu Liang, Yanlin Li, Wei Guo, Zhaoxuan Gong, Ronghui Ju:
DECNet: Left Atrial Pulmonary Vein Class Imbalance Classification Network. 819-837 - Guy C. Hembroff, Chad Klochko, Joseph Craig, Harikrishnan Changarnkothapeecherikkal, Richard Q. Loi:
Improved Automated Quality Control of Skeletal Wrist Radiographs Using Deep Multitask Learning. 838-849 - Zhi-hui Chen, Hai-ling Zha, Qing Yao, Wen-Bo Zhang, Guangquan Zhou, Cui-ying Li:
Predicting Pathological Characteristics of HER2-Positive Breast Cancer from Ultrasound Images: a Deep Ensemble Approach. 850-857 - Tony Felefly, Ziad Francis, Camille Roukoz, Georges Fares, Samir Achkar, Sandrine Yazbeck, Antoine Nasr, Manal Kordahi, Fares Azoury, Dolly Nehme Nasr, Elie Nasr, Georges Noël:
A 3D Convolutional Neural Network Based on Non-enhanced Brain CT to Identify Patients with Brain Metastases. 858-864 - Noriko Kanemaru, Koichiro Yasaka, Nana Fujita, Jun Kanzawa, Osamu Abe:
The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports. 865-872 - Vincent-Béni Sèna Zossou, Freddy Houéhanou Rodrigue Gnangnon, Olivier Biaou, Florent de Vathaire, Rodrigue S. Allodji, Eugène C. Ezin:
Automatic Diagnosis of Hepatocellular Carcinoma and Metastases Based on Computed Tomography Images. 873-886 - Lalit S. Garia, Muthusamy Hariharan:
Dual-Tree Complex Wavelet Pooling and Attention-Based Modified U-Net Architecture for Automated Breast Thermogram Segmentation and Classification. 887-901 - Feixiang Zhao, Mingzhe Liu, Mingrong Xiang, Dongfen Li, Xin Jiang, Xiance Jin, Cai Lin, Ruili Wang:
Unsupervised and Self-supervised Learning in Low-Dose Computed Tomography Denoising: Insights from Training Strategies. 902-930 - Banavathu Sridevi, B. John Jaidhan:
Optimized Spatial Transformer for Segmenting Pancreas Abnormalities. 931-945 - Xiao Wang, Wenguang Liu, Ismail Bilal Masokano, Weiyin Vivian Liu, Yigang Pei, Wenzheng Li:
Feasibility of Three-Dimension Chemical Exchange Saturation Transfer MRI for Predicting Tumor and Node Staging in Rectal Adenocarcinoma: An Exploration of Optimal ROI Measurement. 946-956 - Zakaria Rguibi, Abdelmajid Hajami, Zitouni Dya, Hakim Allali:
PelviNet: A Collaborative Multi-agent Convolutional Network for Enhanced Pelvic Image Registration. 957-966 - Mena Shenouda, Eyjólfur Gudmundsson, Feng Li, Christopher M. Straus, Hedy L. Kindler, Arkadiusz Z. Dudek, Thomas Stinchcombe, Xiaofei Wang, Adam Starkey, Samuel G. Armato III:
Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance). 967-978 - David Baur, Richard Bieck, Johann Berger, Patrick Schöfer, Tim Stelzner, Juliane Neumann, Thomas Neumuth, Christoph-E. Heyde, Anna Voelker:
Automated Three-Dimensional Imaging and Pfirrmann Classification of Intervertebral Disc Using a Graphical Neural Network in Sagittal Magnetic Resonance Imaging of the Lumbar Spine. 979-987 - Yuntong Ma, Justin L. Bauer, Acacia H. Yoon, Christopher F. Beaulieu, Luke Yoon, Bao H. Do, Charles X. Fang:
Deep Learning for Automated Classification of Hip Hardware on Radiographs. 988-996 - Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino:
Out-of-Distribution Detection and Radiological Data Monitoring Using Statistical Process Control. 997-1015 - Wei Jia, Hailong Li, Redha Ali, Krishna P. Shanbhogue, William R. Masch, Anum Aslam, David T. Harris, Scott B. Reeder, Jonathan R. Dillman, Lili He:
Investigation of ComBat Harmonization on Radiomic and Deep Features from Multi-Center Abdominal MRI Data. 1016-1027 - Chung-Ming Lo, Kuo-Lung Lai:
Septic Arthritis Modeling Using Sonographic Fusion with Attention and Selective Transformation: a Preliminary Study. 1028-1039 - Takuro Shiiba, Suzumi Mori, Takuya Shimozono, Shuji Ito, Kazuki Takano:
Assessment of Age-Related Differences in Lower Leg Muscles Quality Using Radiomic Features of Magnetic Resonance Images. 1040-1050 - Rongguo Zhang, Chenhao Pei, Ji Shi, Shaokang Wang:
Construction and Validation of a General Medical Image Dataset for Pretraining. 1051-1061 - Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Yuanzhong Xie, Shengdong Nie:
Sex-Specific Imaging Biomarkers for Parkinson's Disease Diagnosis: A Machine Learning Analysis. 1062-1075 - Esteban Ortiz, Juan Rivera, Manuel Granja, Nelson Agudelo, Marcela Hernández Hoyos, Antonio José Salazar:
Automated ASPECTS Segmentation and Scoring Tool: a Method Tailored for a Colombian Telestroke Network. 1076-1090 - Vishal Deepak, Haroon Ahmed, Joseph Minardi, Sunil Sharma:
A Multi-step Integrative Workflow Implementation to Improve Documentation of Point of Care Ultrasound in Medical Intensive Care Unit. 1091-1097 - Chongxuan Tian, Yue Xi, Yuting Ma, Cai Chen, Cong Wu, Kun Ru, Wei Li, Miaoqing Zhao:
Harnessing Deep Learning for Accurate Pathological Assessment of Brain Tumor Cell Types. 1098-1111 - Giorgio Cazzaniga, Fabio Del Carro, Albino Eccher, Jan Ulrich Becker, Giovanni Gambaro, Mattia Rossi, Federico Pieruzzi, Filippo Fraggetta, Fabio Pagni, Vincenzo L' Imperio:
Improving the Annotation Process in Computational Pathology: A Pilot Study with Manual and Semi-automated Approaches on Consumer and Medical Grade Devices. 1112-1119 - Chao Fan, Zhentong Zhu, Bincheng Peng, Zhihui Xuan, Xinru Zhu:
EAAC-Net: An Efficient Adaptive Attention and Convolution Fusion Network for Skin Lesion Segmentation. 1120-1136 - Christos Photiou, Constantina Cloconi, Iosif Strouthos:
Feature-Based vs. Deep-Learning Fusion Methods for the In Vivo Detection of Radiation Dermatitis Using Optical Coherence Tomography, a Feasibility Study. 1137-1146 - Tongxin Yang, Qilin Huang, Fenglin Cai, Jie Li, Li Jiang, Yulong Xia:
Vital Characteristics Cellular Neural Network (VCeNN) for Melanoma Lesion Segmentation: A Biologically Inspired Deep Learning Approach. 1147-1164 - Chuandong Qin, Yiqing Zhang:
Application of Wiener Filter Based on Improved BB Gradient Descent in Iris Image Restoration. 1165-1183 - Imtiyaz Ahmad, Vibhav Prakash Singh, Manoj Madhava Gore:
Detection of Diabetic Retinopathy Using Discrete Wavelet-Based Center-Symmetric Local Binary Pattern and Statistical Features. 1184-1211 - Kyung Hwa Lee, Jungwook Lee, Gwang Hyeon Choi, Jihye Yun, Jiseon Kang, Jonggi Choi, Kang Mo Kim, Namkug Kim:
Deep Learning-Based Prediction of Post-treatment Survival in Hepatocellular Carcinoma Patients Using Pre-treatment CT Images and Clinical Data. 1212-1223 - Yueyan Wang, Aiqi Chen, Kai Wang, Yihui Zhao, Xiaomeng Du, Yan Chen, Lei Lv, Yimin Huang, Yichuan Ma:
Predictive Study of Machine Learning-Based Multiparametric MRI Radiomics Nomogram for Perineural Invasion in Rectal Cancer: A Pilot Study. 1224-1235 - Yasutaka Ichikawa, Yoshinori Kanii, Akio Yamazaki, Mai Kobayashi, Kensuke Domae, Motonori Nagata, Hajime Sakuma:
The Usefulness of Low-Kiloelectron Volt Virtual Monochromatic Contrast-Enhanced Computed Tomography with Deep Learning Image Reconstruction Technique in Improving the Delineation of Pancreatic Ductal Adenocarcinoma. 1236-1244 - Ju Zhang, Lieli Ye, Weiwei Gong, Mingyang Chen, Guangyu Liu, Yun Cheng:
A Novel Network for Low-Dose CT Denoising Based on Dual-Branch Structure and Multi-Scale Residual Attention. 1245-1264 - Shawn Lyo, Suyash Mohan, Alvand Hassankhani, Abass Noor, Farouk Dako, Tessa Sundaram Cook:
From Revisions to Insights: Converting Radiology Report Revisions into Actionable Educational Feedback Using Generative AI Models. 1265-1279 - Ameena Elahi, Nikki Fennell, Liana Watson:
Correction: Certified Imaging Informatics Professionals (CIIP) Demonstrate Value to the Healthcare Industry and Focus on Quality Through the ABII 10-Year Requirements Practice Option. 1280-1281
Volume 38, Number 3, 2025
- Kerry E. Goetz, Michael V. Boland, Zhongdi Chu, Amberlynn A. Reed, Shawn D. Clark, Alexander J. Towbin, Boonkit Purt, Kevin O'donnell, Marilyn M. Bui, Monief Eid, Christopher J. Roth, Damien M. Luviano, Les R. Folio:
Ocular Imaging Challenges, Current State, and a Path to Interoperability: A HIMSS-SIIM Enterprise Imaging Community Whitepaper. 1283-1290 - Mana Moassefi, Nikki Fennell, Mindy Yang, Jennifer B. Gunter, Teri M. Sippel Schmit, Tessa S. Cook:
Empowering Women in Imaging Informatics: Confronting Imposter Syndrome, Addressing Microaggressions, and Striving for Work-Life Harmony. 1291-1296 - Yvonne Su, Yonatan B. Babore, Charles E. Kahn:
A Large Language Model to Detect Negated Expressions in Radiology Reports. 1297-1303 - Hugo Pereira, Luís Romero, Pedro Miguel Faria:
Web-Based DICOM Viewers: A Survey and a Performance Classification. 1304-1322 - Ni Yao, Hang Hu, Kaicong Chen, Huan Huang, Chen Zhao, Yuan Guo, Boya Li, Jiaofen Nan, Yanting Li, Chuang Han, Fubao Zhu, Weihua Zhou, Li Tian:
A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma Based on CT Images. 1323-1333 - Rabul Saikia, Roopam Deka, Anupam Sarma, Salam Shuleenda Devi:
BSNEU-net: Block Feature Map Distortion and Switchable Normalization-Based Enhanced Union-net for Acute Leukemia Detection on Heterogeneous Dataset. 1334-1361 - Qiang Wang, Bingxi He, Jie Yu, Bowen Zhang, Jingchao Yang, Jin Liu, Xinwei Ma, Shijing Wei, Shuai Li, Hui Zheng, Zhenchao Tang:
Automatic Segmentation of Ultrasound-Guided Quadratus Lumborum Blocks Based on Artificial Intelligence. 1362-1373 - Ilker Ozgur Koska, M. Alper Selver, Mustafa Fazil Gelal, Muhsin Engin Uluc, Yusuf Kenan Çetinoglu, Nursel Yurttutan, Mehmet Serindere, Oguz Dicle:
Deep Learning Classification of Ischemic Stroke Territory on Diffusion-Weighted MRI: Added Value of Augmenting the Input with Image Transformations. 1374-1387 - Giovanni Pasini, Alessandro Stefano, Cristina Mantarro, Selene Richiusa, Albert Comelli, Giorgio Ivan Russo, Maria Gabriella Sabini, Sebastiano Cosentino, Massimo Ippolito, Giorgio Russo:
A Robust [18F]-PSMA-1007 Radiomics Ensemble Model for Prostate Cancer Risk Stratification. 1388-1402 - Sara Bouhafra, Hassan El Bahi:
Deep Learning Approaches for Brain Tumor Detection and Classification Using MRI Images (2020 to 2024): A Systematic Review. 1403-1433 - Nguyen Chi Thanh, Le Thi Thu Hong, Doan Quang Tu, David Taniar:
A Lightweight Method for Breast Cancer Detection Using Thermography Images with Optimized CNN Feature and Efficient Classification. 1434-1451 - Filippo Bargagna, Donato Zigrino, Lisa Anita De Santi, Dario Genovesi, Michele Scipioni, Brunella Favilli, Giuseppe Vergaro, Michele Emdin, Assuero Giorgetti, Vincenzo Positano, Maria Filomena Santarelli:
Automated Neural Architecture Search for Cardiac Amyloidosis Classification from [18F]-Florbetaben PET Images. 1452-1466 - Mazen M. Yassin, Asim Zaman, Jiaxi Lu, Huihui Yang, Anbo Cao, Haseeb Hassan, Taiyu Han, Xiaoqiang Miao, Yongkang Shi, Yingwei Guo, Yu Luo, Yan Kang:
Leveraging Ensemble Models and Follow-up Data for Accurate Prediction of mRS Scores from Radiomic Features of DSC-PWI Images. 1467-1483 - Peter I. Kamel, Mazhar Khalid, Rachel Steger, Adway U. Kanhere, Pranav Kulkarni, Vishwa S. Parekh, Paul H. Yi, Dheeraj Gandhi, Uttam Bodanapally:
Dual Energy CT for Deep Learning-Based Segmentation and Volumetric Estimation of Early Ischemic Infarcts. 1484-1495 - Samy Ammari, Arnaud Quillent, Víctor Elvira, François Bidault, César Ignacio García-Osorio, Dana M. Hartl, Corinne Balleyguier, Nathalie Lassau, Émilie Chouzenoux:
Using Machine Learning on MRI Radiomics to Diagnose Parotid Tumours Before Comparing Performance with Radiologists: A Pilot Study. 1496-1508 - Huicong Chen, Yanhua Wen, Wensheng Wu, Yingying Zhang, Xiaohuan Pan, Yubao Guan, Dajiang Qin:
Prediction of Malignancy and Pathological Types of Solid Lung Nodules on CT Scans Using a Volumetric SWIN Transformer. 1509-1517 - Huimin Xu, Wei Deng, Zixiang Pan, Kaixuan Yao, Jinxiu Yang, Zhen Wang, Hui Gao, Hongmin Shu, Ren Zhao, Yongqiang Yu, Yuchi Han, Xiaohu Li:
Discrimination of Left Atrial Strain Patterns in Hypertensive Heart Disease and Hypertrophic Cardiomyopathy: a Cardiac Magnetic Resonance Feature. 1518-1530 - Xiangchen Li, Yanhua Liu, Feixiang Zhao, Feng Yang, Wang Luo:
Transformer-Integrated Hybrid Convolutional Neural Network for Dose Prediction in Nasopharyngeal Carcinoma Radiotherapy. 1531-1551 - Nathaniel C. Swinburne, Christopher B. Jackson, Andrew M. Pagano, Joseph N. Stember, Javin Schefflein, Brett Marinelli, Prashanth Kumar Panyam, Arthur Autz, Mohapar S. Chopra, Andrei I. Holodny, Michelle S. Ginsberg:
Foundational Segmentation Models and Clinical Data Mining Enable Accurate Computer Vision for Lung Cancer. 1552-1562 - Sriramulu Devarapaga, Rajesh Thumma:
Knee Osteoarthritis SCAENet: Adaptive Knee Osteoarthritis Severity Assessment Using Spatial Separable Convolution with Attention-Based Ensemble Networks with Hybrid Optimization Strategy. 1563-1580 - Yu-Cheng Chen, Wen-Hui Fang, Chin-Sheng Lin, Dung-Jang Tsai, Chih-Wei Hsiang, Cheng-Kuang Chang, Kai-Hsiung Ko, Guo-Shu Huang, Yung-Tsai Lee, Chin Lin:
Integrating VAI-Assisted Quantified CXRs and Multimodal Data to Assess the Risk of Mortality. 1581-1593 - Prathyush Chirra, Pavithran Pattiam Giriprakash, Alain G. Rizk, Jacob Kurowski, Satish E. Viswanath, Namita S. Gandhi:
Developing a Reproducible Radiomics Model for Diagnosis of Active Crohn's Disease on CT Enterography Across Annotation Variations and Acquisition Differences. 1594-1605 - Ling Lee, Chin Lin, Chia-Jung Hsu, Heng-Hsiu Lin, Tzu-Chiao Lin, Yu-Hong Liu, Je-Ming Hu:
Applying Deep-Learning Algorithm Interpreting Kidney, Ureter, and Bladder (KUB) X-Rays to Detect Colon Cancer. 1606-1616 - Lorraine Abel, Jakob Wasserthal, Manfred Meyer, Jan Vosshenrich, Shan Yang, Ricardo Donners, Markus Obmann, Daniel Boll, Elmar M. Merkle, Hanns-Christian Breit, Martin Segeroth:
Intra-Individual Reproducibility of Automated Abdominal Organ Segmentation - Performance of TotalSegmentator Compared to Human Readers and an Independent nnU-Net Model. 1617-1627 - Devina Chatterjee, Adway U. Kanhere, Florence X. Doo, Jerry Zhao, Andrew Chan, Alexander Welsh, Pranav Kulkarni, Annie Trang, Vishwa S. Parekh, Paul H. Yi:
Children Are Not Small Adults: Addressing Limited Generalizability of an Adult Deep Learning CT Organ Segmentation Model to the Pediatric Population. 1628-1641 - Yu Huang, Nicholas J. Leotta, Lukas Hirsch, Roberto Lo Gullo, Mary Hughes, Jeffrey Reiner, Nicole B. Saphier, Kelly S. Myers, Babita Panigrahi, Emily Ambinder, Philip Di Carlo, Lars J. Grimm, Dorothy Lowell, Sora Yoon, Sujata V. Ghate, Lucas C. Parra, Elizabeth J. Sutton:
Cross-site Validation of AI Segmentation and Harmonization in Breast MRI. 1642-1652 - Meilin Li, Xingyu Hou, Wanying Yan, Dawei Wang, Ruize Yu, Xixiang Li, Fuyan Li, Jinming Chen, Lingzhen Wei, Jiahao Liu, Huaizhen Wang, Qingshi Zeng:
Identification of Bipolar Disorder and Schizophrenia Based on Brain CT and Deep Learning Methods. 1653-1660 - Carlos Fernandez del Cerro, R. C. Giménez, J. García-Blas, K. Sosenko, Jose M. Ortega, Manuel Desco, Mónica Abella:
Deep Learning-Based Estimation of Radiographic Position to Automatically Set Up the X-Ray Prime Factors. 1661-1668 - Shambavi Ganesh, Mostafa Abozeed, Usman Aziz, Srini Tridandapani, Pamela T. Bhatti:
An Adaptive SCG-ECG Multimodal Gating Framework for Cardiac CTA. 1669-1680 - Xiaoyu Zhang, Ying Luan, Ying Cui, Yi Zhang, Chun-Qiang Lu, Yujie Zhou, Ying Zhang, Huiming Li, Shenghong Ju, Tianyu Tang:
SDS-Net: A Synchronized Dual-Stage Network for Predicting Patients Within 4.5-h Thrombolytic Treatment Window Using MRI. 1681-1689 - Saroj Kumar Pandey, Yogesh Kumar Rathore, Manoj Kumar Ojha, Rekh Ram Janghel, Anurag Sinha, Ankit Kumar:
BCCHI-HCNN: Breast Cancer Classification from Histopathological Images Using Hybrid Deep CNN Models. 1690-1703 - Andrew Davidson, Arthur Morley-Bunker, George Wiggins, Logan Walker, Gavin Harris, Ramakrishnan Mukundan, kConFab Investigators:
Deep Learning Segmentation of Chromogenic Dye RNAscope From Breast Cancer Tissue. 1704-1721 - Kubilay Muhammed Sünnetci, Faruk Enes Oguz, Mahmut Nedim Ekersular, Nadide Gulsah Gulenc, Mahmut Öztürk, Ahmet Alkan:
Comparative Bladder Cancer Tissues Prediction Using Vision Transformer. 1722-1733 - Nirupama, Virupakshappa:
MobileNet-V2: An Enhanced Skin Disease Classification by Attention and Multi-Scale Features. 1734-1754 - Sudha Paraddy, Virupakshappa:
Addressing Challenges in Skin Cancer Diagnosis: A Convolutional Swin Transformer Approach. 1755-1775 - Mohamed Badr, Abdullah Elkasaby, Mohammed Alrahmawy, Sara El-Metwally:
A Multi-model Deep Learning Architecture for Diagnosing Multi-class Skin Diseases. 1776-1795 - Jiacheng Fan, Tiejun Yang, Heng Wang, Huiyao Zhang, Wenjie Zhang, Mingzhu Ji, Jianyu Miao:
A Self-Supervised Equivariant Refinement Classification Network for Diabetic Retinopathy Classification. 1796-1811 - Giovanna Nascimento Mendes, Lara Góis Floresta, Wilton Mitsunari Takeshita, Bernardo Ferreira Brasileiro, Cleverson Luciano Trento:
The Application of ImageJ Software for Roughness Analysis of Dental Implants. 1812-1819 - Kosuke Suzuki, Hiroaki Saito, Yoshika Saito, Akashi Endo, Daichi Togo, Risa Hanada, Rie Iwaya, Toshinori Sato, Kei Niida, Ryuta Suzuki, Junichi Togashi, Satoshi Ito, Yukari Tanaka, Yoshitaka Nawata, Kimihiro Igarashi, Hidetaka Hamamoto, Akihiko Ozaki, Tetsuya Tanimoto, Yasuteru Shimamura, Shunichi Sugawara, Masaki Nakashima, Toru Okuzono, Masato Nakahori, Akimichi Chonan, Tomoki Matsuda:
Teleradiology-Based Referrals for Patients with Gastroenterological Diseases Between Tertiary and Regional Hospitals: A Hospital-to-Hospital Approach. 1820-1828 - William C. Walton, Seung-Jun Kim:
Uncertainty Estimation for Dual View X-ray Mammographic Image Registration Using Deep Ensembles. 1829-1845 - Kubilay Muhammed Sünnetci, Esat Kaba, Fatma Beyazal Çeliker, Ahmet Alkan:
MR Image Fusion-Based Parotid Gland Tumor Detection. 1846-1859 - Amir M. Vahdani, Shahriar Faghani:
Deep Conformal Supervision: Leveraging Intermediate Features for Robust Uncertainty Quantification. 1860-1870 - Meredith A. Jones, Ke Zhang, Rowzat Faiz, Warid Islam, Javier A. Jo, Bin Zheng, Yuchen Qiu:
Utilizing Pseudo Color Image to Improve the Performance of Deep Transfer Learning-Based Computer-Aided Diagnosis Schemes in Breast Mass Classification. 1871-1880 - Junqing Mei, Chang Chen, Ruoting Liu, Hongbing Ma:
Effect of Deep Learning Image Reconstruction on Image Quality and Pericoronary Fat Attenuation Index. 1881-1890 - Huan Zhang, Yue Xing, Lingyun Wang, Yangfan Hu, Zhihan Xu, Haoda Chen, Junjie Lu, Jiarui Yang, Bei Ding, Weiguo Hu, Jingyu Zhong:
Ultra-High-Resolution Photon-Counting Detector CT Benefits Visualization of Abdominal Arteries: A Comparison to Standard-Reconstruction. 1891-1903 - Somphone Siviengphanom, Patrick C. Brennan, Sarah J. Lewis, Phuong Dung Trieu, Ziba Gandomkar:
A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult. 1904-1913 - Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile M. Safdar, Linda Moy, Felipe Kitamura, Amilcare Gentili, Paras Lakhani, Nina Kottler, Safwan S. Halabi, Joseph H. Yacoub, Yuankai Hou, Khaled Younis, Bradley J. Erickson, Elizabeth A. Krupinski, Shahriar Faghani:
Correction: Checklist for Reproducibility of Deep Learning in Medical Imaging. 1914
Volume 38, Number 4, 2025
- Sejin Jeong, Kyunghwa Han, Yaeseul Kang, Eun-Kyung Kim, Kyungchul Song, Shreyas Vasanawala, Hyun Joo Shin:
The Impact of Artificial Intelligence on Radiologists' Reading Time in Bone Age Radiograph Assessment: A Preliminary Retrospective Observational Study. 1915-1923 - Yulong Jia, Beining Yang, Haotian Xin, Qunya Qi, Yu Wang, Liyuan Lin, Yingying Xie, Chaoyang Huang, Jie Lu, Wen Qin, Nan Chen:
Volumetric Integrated Classification Index: An Integrated Voxel-Based Morphometry and Machine Learning Interpretable Biomarker for Post-Traumatic Stress Disorder. 1924-1934 - Hakan Açikgöz, Deniz Korkmaz, Tarik Talan:
An Automated Diagnosis of Parkinson's Disease from MRI Scans Based on Enhanced Residual Dense Network with Attention Mechanism. 1935-1949 - Huan Liu, Jincheng Zeng, Chen Jinyun, Xiaohua Liu, Yongbin Deng, Chenghai Li, Faqi Li:
Robust Radiomics Models for Predicting HIFU Prognosis in Uterine Fibroids Using SHAP Explanations: A Multicenter Cohort Study. 1950-1962 - Meirong Ren, Peng Xue, Huizhong Ji, Zhili Zhang, Enqing Dong:
Pulmonary CT Registration Network Based on Deformable Cross Attention. 1963-1975 - Wenzheng Lu, Yanqi Zhong, Xifeng Yang, Yuxi Ge, Heng Zhang, Xingbiao Chen, Shudong Hu:
Preoperative Prediction of Perineural Invasion in Pancreatic Ductal Adenocarcinoma Using Machine Learning Radiomics Based on Contrast-Enhanced CT Imaging. 1976-1985 - Mingfang Hu, Shuxin Wang, Mingjie Wu, Ting Zhuang, Xiaoqing Liu, Yuqin Zhang:
Automatic Classification of Focal Liver Lesions Based on Multi-Sequence MRI. 1986-1998 - Hui Zheng, Xinyun Wang, Ming Liu, Qiufeng Yin, Zhengwei Zhang, Ying Wei, Feng Shi, Dengbin Wang, Yuzhen Zhang:
Deep Learning-Based Pediatric Brain Region Segmentation and Volumetric Analysis for General Growth Pattern in Healthy Children. 1999-2011 - Fang Han, Wenfei Li, Yurui Hu, Huiping Wang, Tianyu Liu, Jianlin Wu:
MRI Radiomics-Based Machine Learning to Predict Lymphovascular Invasion of HER2-Positive Breast Cancer. 2012-2020 - Faisal Alshanketi, Abdulrahman Alharbi, Mathew Kuruvilla, Vahid Mahzoon, Shams Tabrez Siddiqui, Nadim Rana, Ali Tahir:
Pneumonia Detection from Chest X-Ray Images Using Deep Learning and Transfer Learning for Imbalanced Datasets. 2021-2040 - Taymaz Akan, Sait Alp, Md. Shenuarin Bhuiyan, Tarek Helmy, A. Wayne Orr, Md. Mostafizur Rahman Bhuiyan, Steven A. Conrad, John A. Vanchiere, Christopher G. Kevil, Mohammad Alfrad Nobel Bhuiyan:
ViViEchoformer: Deep Video Regressor Predicting Ejection Fraction. 2041-2052 - Tianyu Liu, Yurui Hu, Zehua Liu, Zeshuo Jiang, Xiao Ling, Xueling Zhu, Wenfei Li:
Deep Learning-Based DCE-MRI Automatic Segmentation in Predicting Lesion Nature in BI-RADS Category 4. 2053-2062 - John Mayfield, Katherine Quesada Tibbetts, Aziz Rehman, Millena Levin, Dayna Goltz, Neelesh Prakash:
Improved Osteoporosis Prediction in Breast Cancer Patients Using a Novel Semi-Foundational Model. 2063-2070 - Mevan Ekanayake, Kamlesh Pawar, Zhifeng Chen, Gary F. Egan, Zhaolin Chen:
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification. 2071-2084 - Jingli Tang, Hao Wang, Dinghui Wu, Yan Kong, Jianfeng Huang, Shuguang Han:
Radiation Pneumonitis Prediction Using Dual-Modal Data Fusion Based on Med3D Transfer Network. 2085-2101 - Chi-Kuang Liu, Hsuan-Ming Huang:
A Novel Self-Supervised Learning-Based Method for Dynamic CT Brain Perfusion Imaging. 2102-2119 - Takumasa Tsuji, Soichiro Yoshida, Mitsuki Hommyo, Asuka Oyama, Shinobu Kumagai, Kenshiro Shiraishi, Junichi Kotoku:
Cone Beam Computed Tomography Image-Quality Improvement Using "One-Shot" Super-resolution. 2120-2133 - Neng Wang, Wenjie Xu, Huogen Wang, Sikai Wu, Jian Wang, Weiqun Ao, Cui Zhang, Yun Zhu, Zongyu Xie, Guoqun Mao:
Machine Learning Based on Digital Mammography to Reduce the Need for Invasive Biopsies of Benign Calcifications Classified in BI-RADS Category 4. 2134-2145 - S. Gurusubramani, B. Latha:
Deep Convolutional Generative Adversarial Network for Improved Cardiac Image Classification in Heart Disease Diagnosis. 2146-2169 - Chung-Ming Lo, Peng-Hsiang Hung:
Fusion Learning from Non-contrast CT Scans for the Detection of Hemorrhagic Transformation in Stroke Patients. 2170-2182 - Xiangrong Zhuang, Jinan Wang, Jianghe Kang, Ziying Lin:
Diagnosis of Acute Versus Chronic Thoracolumbar Vertebral Compression Fractures Using CT Radiomics Based on Machine Learning: a Preliminary Study. 2183-2193 - Dinh Cong Nguyen, Hoang Long Nguyen:
ColonNeXt: Fully Convolutional Attention for Polyp Segmentation. 2194-2209 - Ashok Bhansali, Devulapalli Sudheer, Shrikant Tiwari, Venkata Subbaiah Desanamukula, Faiyaz Ahmad:
Prediction of Alzheimer's Disease Using Modified DNN with Optimal Feature Selection Based on Seagull Optimization. 2210-2228 - Yuanxi Zhang, Xiwen Deng, Tingting Li, Yuan Li, Xiaohui Wang, Man Lu, Lifeng Yang:
A Neural Network for Segmenting Tumours in Ultrasound Rectal Images. 2229-2240 - Yan Gao, Mahsa Vali:
Combination of Deep and Statistical Features of the Tissue of Pathology Images to Classify and Diagnose the Degree of Malignancy of Prostate Cancer. 2241-2259 - César A. Sierra Franco, Jan Hurtado, Victor de Almeida Thomaz, Leonardo Cardia da Cruz, Santiago V. Silva, Greis Francy M. Silva-Calpa, Alberto Raposo:
Towards Automated Semantic Segmentation in Mammography Images for Enhanced Clinical Applications. 2260-2280 - Ilkay Yildiz Potter, Maria Virginia Velasquez-Hammerle, Ara Nazarian, Ashkan Vaziri:
Deep Learning-Based Body Composition Analysis for Cancer Patients Using Computed Tomographic Imaging. 2281-2293 - Luke Miller, Peter I. Kamel, Jigar Patel, Jay Agrawal, Min Zhan, Nathan Bumbarger, Kenneth Wang:
A Comparative Evaluation of Large Language Model Utility in Neuroimaging Clinical Decision Support. 2294-2302 - Matthew Silbergleit, Adrienn Tóth, Jordan Chamberlin, Mohamed Hamouda, Dhiraj Baruah, Sydney Derrick, Uwe Joseph Schoepf, Jeremy R. Burt, Ismail Kabakus:
ChatGPT vs Gemini: Comparative Accuracy and Efficiency in CAD-RADS Score Assignment from Radiology Reports. 2303-2311 - Min Hong, Ziying Lin, Hua Zhong, Yan Zhang, Dan Yang, Sihui Zhong, Xiangrong Zhuang, Xin Yue:
Improved Diagnostic Performance Using Dual-Energy CT-Derived Slope Parameter Images in Crohn's Disease. 2312-2321 - Yu-Yuan Huang, Wei-Ta Chu:
Learnable Context in Multiple Instance Learning for Whole Slide Image Classification and Segmentation. 2322-2336 - Seyed Mohammad Alizadeh, Mohammad Sadegh Helfroush, M. Emre Celebi:
An Innovative Attention-based Triplet Deep Hashing Approach to Retrieve Histopathology Images. 2337-2354 - Shihao Zhang, Xu Bao, Yun Wang, Feng Lin:
Urine Sediment Detection Algorithm Based on Channel Enhancement and Deformable Convolution. 2355-2366 - Sebastian Rumpf, Nicola Zufall, Florian Rumpf, Andreas Gschwendtner:
A Performance Comparison of Different YOLOv7 Networks for High-Accuracy Cell Classification in Bronchoalveolar Lavage Fluid Utilising the Adam Optimiser and Label Smoothing. 2367-2380 - A. Pandiaraj, Pravin R. Kshirsagar, R. Thiagarajan, Tan Kuan Tak, B. Sivaneasan:
A Robust Malaria Cell Detection Framework Using Adaptive and Atrous Convolution-Based Recurrent Mobilenetv2 with Trans-MobileUNet + + -Based Abnormality Segmentation. 2381-2411 - Feng Zhan, Yina Guo, Lidan He:
NETosis Genes and Pathomic Signature: A Novel Prognostic Marker for Ovarian Serous Cystadenocarcinoma. 2412-2427 - Özge Dönmez Tarakçi, Hatice Cansu Kis, Hakan Amasya, Irem Öztürk, Emre Karahan, Kaan Orhan:
Radiomics-Based Diagnosis in Dentomaxillofacial Radiology: A Systematic Review. 2428-2461 - Thatphong Pornvoranant, Wannakamon Panyarak, Kittichai Wantanajittikul, Arnon Charuakkra, Pimduen Rungsiyakull, Pisaisit Chaijareenont:
A Comparison of Deep Learning vs. Dental Implantologists in Cone-Beam Computed Tomography-Based Bone Quality Classification. 2462-2471 - Sayantani Mandal, Subhayu Ghosh, Nanda Dulal Jana, Somenath Chakraborty, Saurav Mallik:
Active Learning with Particle Swarm Optimization for Enhanced Skin Cancer Classification Utilizing Deep CNN Models. 2472-2489 - Yuhei Koike, Hideki Takegawa, Yusuke Anetai, Satoaki Nakamura, Ken Yoshida, Asami Yoshida, Midori Yui, Kazuki Hirota, Kenichi Ueda, Noboru Tanigawa:
Cone-Beam CT to CT Image Translation Using a Transformer-Based Deep Learning Model for Prostate Cancer Adaptive Radiotherapy. 2490-2499 - Mehdi Panahi, Mahboube Sadat Hosseini:
Impact of Harmonization on MRI Radiomics Feature Variability Across Preprocessing Methods for Parkinson's Disease Motor Subtype Classification. 2500-2513 - Michael Fei, Alan B. McMillan:
Technical Note: Neural Network Architectures for Self-Supervised Body Part Regression Models with Automated Localized Segmentation Application. 2514-2523 - Farhad Maleki, Linda Moy, Reza Forghani, Tapotosh Ghosh, Katie L. Ovens, Steve Langer, Pouria Rouzrokh, Bardia Khosravi, Ali Ganjizadeh, Daniel I. Warren, Roxana Daneshjou, Mana Moassefi, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline:
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models. 2524-2536 - Lan Zhu, Bowen Shi, Bei Ding, Yihan Xia, Kangning Wang, Weiming Feng, Jiankun Dai, Tianyong Xu, Baisong Wang, Fei Yuan, Hailin Shen, Haipeng Dong, Huan Zhang:
Accelerated T2W Imaging with Deep Learning Reconstruction in Staging Rectal Cancer: A Preliminary Study. 2537-2548 - Jeeho E. Im, Muhammed Khalifa, Adriana V. Gregory, Bradley J. Erickson, Timothy L. Kline:
A Systematic Review on the Use of Registration-Based Change Tracking Methods in Longitudinal Radiological Images. 2549-2562 - Constanza Vásquez-Venegas, Chenwei Wu, Saketh Sundar, Renata Prôa, Francis Joshua Beloy, Jillian Reeze Medina, Megan McNichol, Krishnaveni Parvataneni, Nicholas Kurtzman, Felipe Mirshawka, Marcela Aguirre-Jerez, Daniel K. Ebner, Leo Anthony Celi:
Detecting and Mitigating the Clever Hans Effect in Medical Imaging: A Scoping Review. 2563-2579 - Kevin Junck, Jordan D. Perchik, Matthew Larrison, Adam Yates, Stephen Durham, Vamsi Penmetsa, Srini Tridandapani:
Integrating Global Health Initiatives into Routine Radiology Workflow in the USA. 2580-2584
Volume 38, Number 5, 2025
- Irene W. Y. Ma, Michael L. Francavilla, Jason T. Nomura, Adam Kielski, Francisco Fernandez, Kevin Piro, Rachel Liu, Josephine Valenzuela, Michael Toland, Jessica Koehler, Gregg Cohen, Monief Eid, Wilson Choi, James D. Nolan, Robinson M. Ferre, Morgan P. McBee, Tobias Kummer, Michael J. Lanspa, Jenn Quattrone Brown, Kristen Destigter, Stella Desyatnikova, Allan Bottemiller:
Governance Considerations for Point-of-Care Ultrasound: a HIMSS-SIIM Enterprise Imaging Community Whitepaper in Collaboration with AIUM. 2585-2599 - Chaochao Zhou, Syed Hasib Akhter Faruqui, Dayeong An, Abhinav Patel, Ramez N. Abdalla, Michael C. Hurley, Ali Shaibani, Matthew B. Potts, Babak S. Jahromi, Sameer A. Ansari, Donald R. Cantrell:
Single-View Fluoroscopic X-Ray Pose Estimation: A Comparison of Alternative Loss Functions and Volumetric Scene Representations. 2600-2612 - Tianyuan Fu, Sheila Berlin, Amit Gupta, Jennifer Sommer:
Automated Incidental Findings Notification Through the Electronic Health Record Utilizing Dictation Macros. 2613-2622 - Garv Mehdiratta, Jeffrey T. Duda, Ameena Elahi, Arijitt Borthakur, Neil Chatterjee, James C. Gee, Hersh Sagreiya, Walter R. Witschey, Charles E. Kahn:
Automated Integration of AI Results into Radiology Reports Using Common Data Elements. 2623-2629 - Riadh Bouslimi, Houda Trabelsi, Wahiba Ben Abdessalem Karaa, Hana Hedhli:
AI-Driven Radiology Report Generation for Traumatic Brain Injuries. 2630-2645 - Deng Zhu, Lijun Liu, Xiaobing Yang, Li Liu, Wei Peng:
Denoising Multi-Level Cross-Attention and Contrastive Learning for Chest Radiology Report Generation. 2646-2663 - Bárbara Malainho, João Freitas, Catarina Rodrigues, Ana Claudia Tonelli, André Santanchè, Marco Antonio de Carvalho-Filho, Jaime C. Fonseca, Sandro F. Queiros:
Semi-supervised Ensemble Learning for Automatic Interpretation of Lung Ultrasound Videos. 2664-2676 - Rajesh Kancherla, Anju Sharma, Prabha Garg:
Diagnosing Respiratory Variability: Convolutional Neural Networks for Chest X-ray Classification Across Diverse Pulmonary Conditions. 2677-2687 - Huixian Zhang, Hailong Li, Redha Ali, Wei Jia, Wen Pan, Scott B. Reeder, David Harris, William Masch, Anum Aslam, Krishna Shanbhogue, Nehal A. Parikh, Jonathan R. Dillman, Lili He:
Development and Validation of a Modality-Invariant 3D Swin U-Net Transformer for Liver and Spleen Segmentation on Multi-Site Clinical Bi-parametric MR Images. 2688-2699 - Soo Ho Ahn, Seungjin Baek, Jiwoo Park, Jaewon Kim, Hyungjin Rhee, Yong Eun Chung, Hwiyoung Kim, Young Han Lee:
Uncertainty Quantification in Automated Detection of Vertebral Metastasis Using Ensemble Monte Carlo Dropout. 2700-2715 - Jiuhong Ran, Dong Li:
A Faster Privacy-Preserving Medical Image Diagnosis Scheme with Machine Learning. 2716-2728 - Stanley A. Norris, Daniel Carrion, Michael Ditchfield, Manuel Gubser, Jarrel Seah, Mohamed K. Badawy:
Enhancing Radiographic Diagnosis: CycleGAN-Based Methods for Reducing Cast Shadow Artifacts in Wrist Radiographs. 2729-2738 - Ziyan Chen, Sanli Yi:
MIC: Breast Cancer Multi-label Diagnostic Framework Based on Multi-modal Fusion Interaction. 2739-2760 - Grace Yoojin Lee, Yun Ho Choi, Dongwon Kim, Miso Jang, Hong-Kyu Kim, Hyo-Jung Nam, Sungwon Park, Mi Jung Kim, Yoon Ho Hwang, Seung Ku Lee, Chol Shin, Namkug Kim:
Deep Learning Analysis of White Matter Hyperintensity and its Association with Comprehensive Vascular Factors in Two Large General Populations. 2761-2778 - Stefania L. Chantzi, Alexandra Kosvyra, Ioanna Chouvarda:
Radiomics and Artificial Intelligence in Pulmonary Fibrosis. 2779-2792 - Gopal S. Tandel, Ashish Tiwari, Omprakash G. Kakde:
Multi-Class Brain Tumor Grades Classification Using a Deep Learning-Based Majority Voting Algorithm and Its Validation Using Explainable-AI. 2793-2830 - Reza Moein Taghavi, Amol Shah, Vladimir Filkov, Roger Eric Goldman:
Deep Learning Models for Automatic Classification of Anatomic Location in Abdominopelvic Digital Subtraction Angiography. 2831-2840 - Renbo Li, Ruofan Cao, Qi Zhao, Zijian Zhao:
Utilizing a Novel Convolutional Neural Network for Diagnosis and Lesion Delineation in Colorectal Cancer Screening. 2841-2850 - Teng Wang, Jun Liu, Jinshan Tang:
A Cross-scale Attention-Based U-Net for Breast Ultrasound Image Segmentation. 2851-2864 - Hongxia Zhang, Leilei Wang, Yayun Lin, Xiaoming Ha, Chunyan Huang, Chao Han:
Classification of Molecular Subtypes of Breast Cancer Using Radiomic Features of Preoperative Ultrasound Images. 2865-2877 - Shang-Yu Chiang, You-Wei Wang, Pei-Yuan Su, Yuan-Yen Chang, Hsu-Heng Yen, Ruey-Feng Chang:
PBCS-ConvNeXt: Convolutional Network-Based Automatic Diagnosis of Non-alcoholic Fatty Liver in Abdominal Ultrasound Images. 2878-2893 - Xuzhi Zhao, Yi Du, Yahui Peng:
Deep Learning-Based Multi-View Projection Synthesis Approach for Improving the Quality of Sparse-View CBCT in Image-Guided Radiotherapy. 2894-2914 - Ademola Enitan Ilesanmi, Taiwo Ilesanmi, Babatunde Ajayi, Gbenga A. Gbotoso, Samir Brahim Belhaouari:
Unlocking the Power of 3D Convolutional Neural Networks for COVID-19 Detection: A Comprehensive Review. 2915-2933 - Guan-Hua Huang, Wan-Chen Lai, Tai-Been Chen, Chien-Chin Hsu, Huei-Yung Chen, Yi-Chen Wu, Li-Ren Yeh:
Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson's Disease Stage Prediction. 2934-2950 - Michael Kovalchick, Hyeok Jun Lee, Chad Klochko, Kundan Thind:
Validation of UniverSeg for Interventional Abdominal Angiographic Segmentation. 2951-2957 - Dominika Zycka-Malesa, Grzegorz Ostrek, Katarzyna Sklinda, Izabela Domitrz, Artur Przelaskowski:
Brain Midline Approximation to Improve Symmetry Analysis of Brain CT Scans. 2958-2972 - Christopher E. Collins, Peter Aldo Giammanco, Sunny M. Trivedi, Reem O. Sarsour, Mikayla Kricfalusi, Joseph G. Elsissy:
Diagnostic Accuracy of Artificial Intelligence for Detection of Rib Fracture on X-ray and Computed Tomography Imaging: A Systematic Review. 2973-2982 - Hansang Lee, Deokseon Kim, Joonseok Lim, Helen Hong:
Class-Wise Combination of Mixture-Based Data Augmentation for Class Imbalance Learning of Focal Liver Lesions in Abdominal CT Images. 2983-2993 - Yueyang Li, Weiming Zeng, Wenhao Dong, Luhui Cai, Lei Wang, Hongyu Chen, Hongjie Yan, Lingbin Bian, Nizhuan Wang:
MHNet: Multi-view High-Order Network for Diagnosing Neurodevelopmental Disorders Using Resting-State fMRI. 2994-3014 - Ping Yin, Xinyu Zhang, Ying Liu, Weidao Chen, Yudong Wang, Lin Lu, Xia Liu, Nan Hong:
End-to-End Deep Learning Prediction of Neoadjuvant Chemotherapy Response in Osteosarcoma Patients Using Routine MRI. 3015-3024 - Sedat Örenç, Emrullah Acar, Mehmet Siraç Özerdem, Sefer Sahin, Abdullah Kaya:
Automatic Identification of Adenoid Hypertrophy via Ensemble Deep Learning Models Employing X-ray Adenoid Images. 3025-3039 - Theo Dapamede, Frank Li, Bardia Khosravi, Saptarshi Purkayastha, Hari Trivedi, Judy Gichoya:
DICOM LUT is a Key Step in Medical Image Preprocessing Towards AI Generalizability. 3040-3048 - Yuqing Weng, Qiuping Hu, Huajia Wang, Yinglan Kuang, Yanling Zhou, Yuyan Tang, Lei Wang, Xin Ye, Xing Lu:
CACs Recognition of FISH Images Based on Adaptive Mean Teacher Semi-supervised Learning with Domain-Knowledge Pseudo Label. 3049-3062 - Yan Jiang, Bo Wang, Weipeng Xing, Cheng Huo:
HCTTI: High-Performance Heterogeneous Computing Toolkit for Tissue Image Stain Normalization. 3063-3075 - Xiaolong Zhao, Xiaowei Du:
Breast Cancer Histopathological Image Classification Based on Graph Assisted Global Reasoning. 3076-3089 - Qianmin Ge, Jinyan Lin, Yeye Zhang, Hong Wei, Min Kang, Jie Zou, Qian Ling, Hui Huang, San-Hua Xu, Xu Chen, Yi Shao:
In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks. 3090-3099 - Dong Li, Idowu Paul Okuwobi, Zhixiang Ding, Jifeng Wan, Jiaojiao Jiang:
LRNet: Link Residual Neural Network for Blood Vessel Segmentation in OCTA Images. 3100-3109 - Elif Setenay Cutur, Neslihan Gökmen Inan:
Multi-class Classification of Retinal Eye Diseases from Ophthalmoscopy Images Using Transfer Learning-Based Vision Transformers. 3110-3124 - Natdanai Hirata, Panupong Pudhieng, Sadanan Sena, Suebpong Torn-asa, Wannakamon Panyarak, Kittipit Klanliang, Kittichai Wantanajittikul:
Development of Periapical Index Score Classification System in Periapical Radiographs Using Deep Learning. 3125-3133 - Zihong Zeng, Xuelian Cheng, Chiyuan Feng, Weijie Shan, Zixiong Xu, Mingyu Xie, Guo Tang, Yan Zhang, Xia Yue:
Feasibility Study on Optimising the Efficacy of a Population Age Estimation Model for South China by Combined Machine Learning for the Second and Third Molars. 3134-3147 - Pauline Freeda David, Suganya Devi Kothandapani, Ganesh Kumar Pugalendhi:
Adaptive Compression and Reconstruction for Multidimensional Medical Image Data: A Hybrid Algorithm for Enhanced Image Quality. 3148-3167 - Yuhua Li, Shan Jiang, Zhiyong Yang, Lixiang Wang, Liwen Wang, Zeyang Zhou:
Data-Oriented Octree Inverse Hierarchical Order Aggregation Hybrid Transformer-CNN for 3D Medical Segmentation. 3168-3181 - Trung Hieu Phan, Trung Tuan Nguyen, Thanh Dat Nguyen, Huu Hung Pham, Gia Khang Ta, Minh-Triet Tran, Thanh Tho Quan:
DIKOApp: An AI-Based Diagnostic System for Knee Osteoarthritis. 3182-3197 - Minh-Nhat Trinh, Thi-Thao Tran, Do-Hai-Ninh Nham, Men-Tzung Lo, Van-Truong Pham:
GLAC-Unet: Global-Local Active Contour Loss with an Efficient U-Shaped Architecture for Multiclass Medical Image Segmentation. 3198-3220 - Yihao Ouyang, Pei-Pei Li, Haixiang Zhang, Xuegang Hu:
Semi-Supervised Medical Image Segmentation Based on Frequency Domain Aware Stable Consistency Regularization. 3221-3234 - Yixin Zhang, Shen Zhao, Hanxue Gu, Maciej A. Mazurowski:
How to Efficiently Annotate Images for Best-Performing Deep Learning-Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model. 3235-3247 - Ji Woong Kim, Aisha Urooj Khan, Imon Banerjee:
Systematic Review of Hybrid Vision Transformer Architectures for Radiological Image Analysis. 3248-3262 - Olivier T. Paalvast, Omar Hertgers, Merlijn Sevenster, Hildo J. Lamb:
Assessing the Image Quality of Digitally Reconstructed Radiographs from Chest CT. 3263-3270 - Paul M. Murphy, Julie Y. An, Luke M. Wojdyla, Adam C. Searleman, Aman Khurana, Thomas W. Loehfelm, Kathryn J. Fowler, Christopher A. Longhurst:
Diagnostic Performance of a Next-Generation Virtual/Augmented Reality Headset: A Pilot Study of Diverticulitis on CT. 3271-3278 - Hoijoon Jung, Jineel Raythatha, Alireza Moghadam, Ge Jin, Jiawei Mao, Jeremy Hsu, Jinman Kim:
RibMR - A Mixed Reality Visualization System for Rib Fracture Localization in Surgical Stabilization of Rib Fractures: Phantom, Preclinical, and Clinical Studies. 3279-3293 - Bhavana Singh, Pushpendra Kumar, Shailendra Kumar Jain:
Combining the Variational and Deep Learning Techniques for Classification of Video Capsule Endoscopic Images. 3294-3313 - Hao Yin, Yanxiong Wu, Peiqing Guo, Jiaxiong Luo, Jianan Lin, Bin Zhou, Qianyao Ye, Lintong Lin, Hongbo Li, Donglan Zou, Xiaosong Li, Bin Wei, Zhiming Yang:
Panoramic Nailfold Flow Velocity Measurement Method Based on Enhanced Plasma Gap Information. 3314-3329 - Yassine Oukdach, Anass Garbaz, Zakaria Kerkaou, Mohamed El Ansari, Lahcen Koutti, Ahmed Fouad El Ouafdi, Mouna Salihoun:
InCoLoTransNet: An Involution-Convolution and Locality Attention-Aware Transformer for Precise Colorectal Polyp Segmentation in GI Images. 3330-3350 - Rania Niri, Sofia Zahia, Alessio Stefanelli, Kaushal Sharma, Sebastian Probst, Swann Pichon, Guillaume Chanel:
Wound Segmentation with U-Net Using a Dual Attention Mechanism and Transfer Learning. 3351-3365 - Koichiro Yasaka, Takuto Nomura, Jun Kamohara, Hiroshi Hirakawa, Takatoshi Kubo, Shigeru Kiryu, Osamu Abe:
Classification of Interventional Radiology Reports into Technique Categories with a Fine-Tuned Large Language Model. 3366-3374 - Kento Sugimoto, Shoya Wada, Shozo Konishi, Junya Sato, Katsuki Okada, Shoji Kido, Noriyuki Tomiyama, Yasushi Matsumura, Toshihiro Takeda:
Automated Detection of Cancer-Suspicious Findings in Japanese Radiology Reports with Natural Language Processing: A Multicenter Study. 3375-3385 - Joshua D. Warner, Robert P. Hartman, Daniel J. Blezek, John V. Thomas:
Abdominal and Pelvic MRI Protocol Prediction Using Natural Language Processing. 3386-3395
Volume 38, Number S1, 2025
- Selected Abstracts from the SIIM 2025 Annual Meeting of the Society for Imaging Informatics in Medicine (SIIM). 1-49
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