A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI. - Zhenxi Zhang; Jie Li 001; Zhusi Zhong; Zhicheng Jiao; Xinbo Gao 001 (IScIDE (1), 2019)

An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. - Zhusi Zhong; Jie Li 001; Zhenxi Zhang; Zhicheng Jiao; Xinbo Gao 001 (MICCAI (6), 2019)

A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment. - Zhusi Zhong; Jie Li 001; Zhenxi Zhang; Zhicheng Jiao; Xinbo Gao 001 (CSI@MICCAI, 2019)

A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation. - Zhenxi Zhang; Jie Li 001; Zhusi Zhong; Zhicheng Jiao; Xinbo Gao 001 (CoRR, 2019)

Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction. - Zhenxi Zhang; Chunna Tian; Jie Li 001; Zhusi Zhong; Zhicheng Jiao; Xinbo Gao 001 (CoRR, 2020)

Quality-driven deep active learning method for 3D brain MRI segmentation. - Zhenxi Zhang; Jie Li 001; Chunna Tian; Zhusi Zhong; Zhicheng Jiao; Xinbo Gao 001 (Neurocomputing, 2021)

Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge. - Liansheng Wang; Cong Xie; Yi Lin; Hong-Yu Zhou; Kailin Chen; Dalong Cheng; Florian Dubost; Benjamin Collery; Bidur Khanal; Bishesh Khanal; Rong Tao; Shangliang Xu; et al. (Medical Image Anal., 2021)

Collaborative boundary-aware context encoding networks for error map prediction. - Zhenxi Zhang; Chunna Tian; Xinbo Gao 001; Jie Li 001; Zhicheng Jiao; Cui Wang; Zhusi Zhong (Pattern Recognit., 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)

SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation. - Zhusi Zhong; Jie Li 001; Lulu Bi; Li Yang 014; Ihab Kamel; Rama Chellappa; Xinbo Gao 001; Harrison X. Bai; Zhicheng Jiao (CoRR, 2023)

Mitigating Racial Bias in Chest X-Ray Disease Diagnosis Via Disentanglement Learning. - Xinwei Lai; Ying Wang 007; Jie Li 001; Zhusi Zhong; Xin Yang (ISBI, 2024)

Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation. - Kang Liu; Zhuoqi Ma; Xiaolu Kang; Zhusi Zhong; Zhicheng Jiao; Grayson Baird; Harrison X. Bai; Qiguang Miao (MICCAI (3), 2024)

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)

Infrared and Visible Image Fusion with Hierarchical Human Perception. - Guang Yang; Jie Li 001; Xin Liu; Zhusi Zhong; Xinbo Gao 001 (ICASSP, 2025)

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)