An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. - Chris K. Kim; Ji Whae Choi; Zhicheng Jiao; Dongcui Wang; Jing Wu; Thomas Y. Yi; Kasey C. Halsey; Feyisope Eweje; Thi My Linh Tran; Chang Liu 082; Robin Wang; John Sollee; et al. (npj Digit. Medicine, 2022)

Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. - Zhusi Zhong; Jie Li 001; Shreyas Kulkarni; Yang Li 111; Fayez H. Fayad; Helen Zhang; Sun Ho Ahn; Harrison X. Bai; Xinbo Gao 001; Michael Atalay; Zhicheng Jiao (MICCAI (5), 2023)

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. - Daniel D. Kim; Rajat S. Chandra; Jian Peng; Jing Wu; Xue Feng 001; Michael Atalay; Chetan Bettegowda; Craig K. Jones; Haris I. Sair; Wei-hua Liao; Chengzhang Zhu; Beiji Zou 001; et al. (CoRR, 2023)

Region-specific Risk Quantification for Interpretable Prognosis of COVID-19. - Zhusi Zhong; Jie Li 001; Zhuoqi Ma; Scott Collins; Harrison X. Bai; Paul Zhang; Terrance Healey; Xinbo Gao 001; Michael K. Atalay; Zhicheng Jiao (CoRR, 2024)

Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. - Zhusi Zhong; Jie Li 001; John Sollee; Scott Collins; Harrison X. Bai; Paul Zhang; Terrence Healey; Michael Atalay; Xinbo Gao 001; Zhicheng Jiao (CoRR, 2024)

Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data. - Zhusi Zhong; Helen Zhang; Fayez H. Fayad; Andrew C. Lancaster; John Sollee; Shreyas Kulkarni; Cheng Ting Lin; Jie Li 001; Xinbo Gao 001; Scott Collins; Colin Greineder; Sun Ho Ahn; et al. (CoRR, 2024)

De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. - Zhusi Zhong; Jie Li 001; Shreyas Kulkarni; Helen Zhang; Fayez H. Fayad; Yang Li 111; Scott Collins; Harrison X. Bai; Sun Ho Ahn; Michael K. Atalay; Xinbo Gao 001; Zhicheng Jiao (IEEE J. Biomed. Health Informatics, 2024)

Risk-RAM: An Interpretable Deep Survival Prediction Model for COVID-19 Prognosis Using Chest X-Ray Images. - Zhusi Zhong; Zhuoqi Ma; Thomas Y. Yi; Scott Collins; Grayson Baird; Harrison X. Bai; Paul Zhang; Terrance Healey; Michael K. Atalay; Zhicheng Jiao (ISBI, 2025)

Vision-language model for report generation and outcome prediction in CT pulmonary angiogram. - Zhusi Zhong; Yuli Wang; Jing Wu; Wen-Chi Hsu; Vin Somasundaram; Lulu Bi; Shreyas Kulkarni; Zhuoqi Ma; Scott Collins; Grayson Baird; Sun Ho Ahn; Xue Feng 001; et al. (npj Digit. Medicine, 2025)

Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA. - Zhusi Zhong; Yuli Wang; Lulu Bi; Zhuoqi Ma; Sun Ho Ahn; Christopher J. Mullin; Colin Greineder; Michael K. Atalay; Scott Collins; Grayson Baird; Cheng Ting Lin; J. Webster Stayman; et al. (CoRR, 2025)

Multi-Modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. - Zhusi Zhong; Jie Li 001; John Sollee; Scott Collins; Harrison X. Bai; Paul Zhang; Terrance Healey; Michael Atalay; Xingbo Gao 001; Zhicheng Jiao (IEEE J. Biomed. Health Informatics, 2025)