Is Android or iPhone the Platform for Innovation in Imaging Informatics. - George Shih; Paras Lakhani; Paul G. Nagy (J. Digit. Imaging, 2010)

App Review Series Introduction. - George Shih (J. Digit. Imaging, 2015)

Imaging Properties of 3D Printed Materials: Multi-Energy CT of Filament Polymers. - James Shin; Ranjit S. Sandhu; George Shih (J. Digit. Imaging, 2017)

Hello World Deep Learning in Medical Imaging. - Paras Lakhani; Daniel L. Gray; Carl R. Pett; Paul G. Nagy; George Shih (J. Digit. Imaging, 2018)

Collaborative and Reproducible Research: Goals, Challenges, and Strategies. - Steve G. Langer; George Shih; Paul G. Nagy; Bennett A. Landman (J. Digit. Imaging, 2018)

Single-Center Experience Implementing the LOINC-RSNA Radiology Playbook for Adult Abdomen/Pelvis CT and MR Procedures Using a Semi-Automated Method. - Ranjit S. Sandhu; James Shin; Kenneth C. Wang; George Shih (J. Digit. Imaging, 2018)

Developing a More Responsive Radiology Resident Dashboard. - Hongyu Chen; Vineeth Gangaram; George Shih (J. Digit. Imaging, 2019)

Correction to: Collaborative and Reproducible Research: Goals, Challenges, and Strategies. - Steve G. Langer; George Shih; Paul G. Nagy; Bennett A. Landman (J. Digit. Imaging, 2019)

A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context. - Veronica Rotemberg; Nicholas R. Kurtansky; Brigid Betz-Stablein; Liam J. Caffery; Emmanouil Chousakos; Noel Codella; Marc Combalia; Stephen W. Dusza; Pascale Guitera; David A. Gutman; Allan Halpern; Harald Kittler; et al. (CoRR, 2020)

Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset. - Ross W. Filice; Anouk Stein; Carol C. Wu; Veronica A. Arteaga; Stephen Borstelmann; Ramya Gaddikeri; Maya Galperin-Aizenberg; Ritu R. Gill; Myrna C. Godoy; Stephen B. Hobbs; Jean Jeudy; Paras Lakhani; et al. (J. Digit. Imaging, 2020)

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. - Yan Han 001; Chongyan Chen; Liyan Tang; Mingquan Lin; Ajay Jaiswal; Song Wang 026; Ahmed H. Tewfik; George Shih; Ying Ding 001; Yifan Peng 002 (AMIA, 2021)

DICOM in Dermoscopic Research: an Experience Report and a Way Forward. - Liam J. Caffery; Jochen Weber 001; Nicholas R. Kurtansky; David A. Clunie; Steve Langer; George Shih; Allan Halpern; Veronica Rotemberg (J. Digit. Imaging, 2021)

Prompt-based Learning for Assertion Classification in Clinical Notes. - Song Wang 026; Liyan Tang; Akash Majety; Justin F. Rousseau; George Shih; Ying Ding 001; Yifan Peng 002 (AMIA, 2022)

Radiology Text Analysis System (RadText): Architecture and Evaluation. - Song Wang 026; Mingquan Lin; Ying Ding 001; George Shih; Zhiyong Lu; Yifan Peng 002 (ICHI, 2022)

Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. - Gregory Holste; Song Wang 026; Ziyu Jiang; Thomas C. Shen; George Shih; Ronald M. Summers; Yifan Peng 002; Zhangyang Wang (DALI@MICCAI, 2022)

Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays. - Dana Moukheiber; Saurabh Mahindre; Lama Moukheiber; Mira Moukheiber; Song Wang 026; Chunwei Ma; George Shih; Yifan Peng 002; Mingchen Gao (DALI@MICCAI, 2022)

Prior Knowledge Enhances Radiology Report Generation. - Song Wang 026; Liyan Tang; Mingquan Lin; George Shih; Ying Ding 001; Yifan Peng 002 (CoRR, 2022)

Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification. - Timothy L. Kline; Felipe Kitamura; Ian Pan; Amine M. Korchi; Neil A. Tenenholtz; Linda Moy; Judy Wawira Gichoya; Igor Santos; Steven Blumer; Misha Ysabel Hwang; Kim-Ann Git; Abishek Shroff; et al. (CoRR, 2022)

Trustworthy assertion classification through prompting. - Song Wang 026; Liyan Tang; Akash Majety; Justin F. Rousseau; George Shih; Ying Ding 001; Yifan Peng 002 (J. Biomed. Informatics, 2022)

Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization. - Ross W. Filice; Anouk Stein; Ian Pan; George Shih (J. Digit. Imaging, 2022)

How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? - Gregory Holste; Ziyu Jiang; Ajay Jaiswal; Maria Hanna; Shlomo Minkowitz; Alan C. Legasto; Joanna G. Escalon; Sharon Steinberger; Mark Bittman; Thomas C. Shen; Ying Ding 001; Ronald M. Summers; et al. (MICCAI (5), 2023)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 013; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (CoRR, 2023)

The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. - Paras Lakhani; J. Mongan; Chinmay Singhal; Q. Zhou; Katherine P. Andriole; William F. Auffermann; Prasanth Prasanna; Theresa X. Pham; Michael Peterson; P. J. Bergquist; Tessa Sundaram Cook; S. F. Ferraciolli; et al. (J. Digit. Imaging, 2023)

Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access. - Mingquan Lin; Bo-Jian Hou; Swati Mishra 006; Tianyuan Yao; Yuankai Huo; Qian Yang 004; Fei Wang 001; George Shih; Yifan Peng 002 (Comput. Biol. Medicine, 2023)

Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning. - Mingquan Lin; Tianhao Li; Zhaoyi Sun; Gregory Holste; Ying Ding 001; Fei Wang 001; George Shih; Yifan Peng 002 (CoRR, 2024)

Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs. - Yiliang Zhou; Hanley Ong; Patrick Kennedy; Carol C. Wu; Jacob Kazam; Keith Hentel; Adam E. Flanders; George Shih; Yifan Peng 002 (CoRR, 2024)

The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset. - Jeffrey D. Rudie; Hui-Ming Lin; Robyn L. Ball; Sabeena Jalal; Luciano M. Prevedello; Savvas Nicolaou; Brett S. Marinelli; Adam E. Flanders; Kirti Magudia; George Shih; Melissa A. Davis; John Mongan; et al. (CoRR, 2024)

Agentic LLM Workflows for Generating Patient-Friendly Medical Reports. - Malavikha Sudarshan; Sophie Shih; Estella Yee; Alina Yang; John Zou; Cathy Chen; Quan Zhou; Leon Chen; Chinmay Singhal; George Shih (CoRR, 2024)

Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels. - Yishu Wei; Xindi Wang; Hanley Ong; Yiliang Zhou; Adam E. Flanders; George Shih; Yifan Peng 002 (CoRR, 2024)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 026; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (Medical Image Anal., 2024)

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. - Mingquan Lin; Gregory Holste; Song Wang 026; Yiliang Zhou; Yishu Wei; Imon Banerjee; Pengyi Chen; Tianjie Dai; Yuexi Du; Nicha C. Dvornek; Yuyan Ge; Zuwei Guo; et al. (Medical Image Anal., 2025)

Generative Large Language Models Trained for Detecting Errors in Radiology Reports. - Cong Sun 004; Kurt Teichman; Yiliang Zhou; Brian Critelli; David Nauheim; Graham Keir; Xindi Wang; Judy Zhong; Adam E. Flanders; George Shih; Yifan Peng 002 (CoRR, 2025)

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. - Mingquan Lin; Gregory Holste; Song Wang 026; Yiliang Zhou; Yishu Wei; Imon Banerjee; Pengyi Chen; Tianjie Dai; Yuexi Du; Nicha C. Dvornek; Yuyan Ge; Zuowei Guo; et al. (CoRR, 2025)