Deep learning methods for segmentation of lines in pediatric chest radiographs. - Ryan Sullivan; Gregory Holste; Jonathan Burkow; Adam M. Alessio (Computer-Aided Diagnosis, 2020)

Multi-class semantic segmentation of pediatric chest radiographs. - Gregory Holste; Ryan Sullivan; Michael D. Bindschadler; Nicholas Nagy; Adam M. Alessio (Image Processing, 2020)

End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI. - Gregory Holste; Savannah C. Partridge; Habib Rahbar; Debosmita Biswas; Christoph I. Lee; Adam M. Alessio (ICCVW, 2021)

Avalanche decision schemes to improve pediatric rib fracture detection. - Jonathan Burkow; Gregory Holste; Jeffrey Otjen; Francisco Perez; Joseph Junewick; Adam M. Alessio (Computer-Aided Diagnosis, 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)

Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis. - Gregory Holste; Evangelos K. Oikonomou; Bobak Mortazavi; Zhangyang Wang; Rohan Khera (CoRR, 2022)

Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision. - Gregory Holste; Douwe van der Wal; Hans Pinckaers; Rikiya Yamashita; Akinori Mitani; Andre Esteva (ISBI, 2023)

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)

Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. - Yan Han 001; Gregory Holste; Ying Ding 001; Ahmed H. Tewfik; Yifan Peng 002; Zhangyang Wang (IEEE Trans. Medical Imaging, 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)

Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. - Veer Sangha; Akshay Khunte; Gregory Holste; Bobak J. Mortazavi; Zhangyang Wang; Evangelos K. Oikonomou; Rohan Khera (J. Am. Medical Informatics Assoc., 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)

Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. - Gregory Holste; Mingquan Lin; Ruiwen Zhou; Fei Wang 001; Lei Liu; Qi Yan 008; Sarah Van Tassel; Kyle Kovacs; Emily Y. Chew; Zhiyong Lu; Zhangyang Wang; Yifan Peng 002 (npj Digit. Medicine, 2024)

Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. - Gregory Holste; Mingquan Lin; Ruiwen Zhou; Fei Wang 001; Lei Liu; Qi Yan 008; Sarah Van Tassel; Kyle Kovacs; Emily Y. Chew; Zhiyong Lu; Zhangyang Wang; Yifan Peng 002 (npj Digit. Medicine, 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)

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)

Deep Rib Fracture Instance Segmentation and Classification From CT on the RibFrac Challenge. - Jiancheng Yang; Rui Shi; Liang Jin; Xiaoyang Huang; Kaiming Kuang; Donglai Wei 001; Shixuan Gu; Jianying Liu; Pengfei Liu; Zhizhong Chai; Yongjie Xiao; Hao Chen 011; et al. (IEEE Trans. Medical Imaging, 2025)