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)

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)

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)