Zhusi Zhong

According to our database, Zhusi Zhong authored at least 21 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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, Todd M. Kolb, Ihab Kamel, Harrison X. Bai, Zhicheng Jiao

Medical Image Anal., 2026

2025

Multi-Modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation.

Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison X. Bai, Paul Zhang, Terrance Healey, Michael Atalay, Xingbo Gao, Zhicheng Jiao

IEEE J. Biomed. Health Informatics, May, 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, Ihab Kamel, Cheng Ting Lin, Colin Greineder, Michael Atalay, Zhicheng Jiao, Harrison X. Bai

npj Digit. Medicine, 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

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Infrared and Visible Image Fusion with Hierarchical Human Perception.

Guang Yang, Jie Li, Xin Liu, Zhusi Zhong, Xinbo Gao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data.

Zhusi Zhong, Jie Li, Shreyas Kulkarni, Helen Zhang, Fayez H. Fayad, Yang Li, Scott Collins, Harrison X. Bai, Sun Ho Ahn, Michael K. Atalay, Xinbo Gao, Zhicheng Jiao

IEEE J. Biomed. Health Informatics, June, 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, Xinbo Gao, Scott Collins, Colin Greineder, Sun Ho Ahn, Harrison X. Bai, Zhicheng Jiao, Michael K. Atalay

CoRR, 2024

Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation.

Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison X. Bai, Paul Zhang, Terrence Healey, Michael Atalay, Xinbo Gao, Zhicheng Jiao

CoRR, 2024

Region-specific Risk Quantification for Interpretable Prognosis of COVID-19.

Zhusi Zhong, Jie Li, Zhuoqi Ma, Scott Collins, Harrison X. Bai, Paul Zhang, Terrance Healey, Xinbo Gao, Michael K. Atalay, Zhicheng Jiao

CoRR, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Mitigating Racial Bias in Chest X-Ray Disease Diagnosis Via Disentanglement Learning.

Xinwei Lai, Ying Wang, Jie Li, Zhusi Zhong, Xin Yang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation.

Zhusi Zhong, Jie Li, Lulu Bi, Li Yang, Ihab Kamel, Rama Chellappa, Xinbo Gao, Harrison X. Bai, Zhicheng Jiao

CoRR, 2023

Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model.

Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison X. Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Collaborative boundary-aware context encoding networks for error map prediction.

Zhenxi Zhang, Chunna Tian, Xinbo Gao, Jie Li, Zhicheng Jiao, Cui Wang, Zhusi Zhong

Pattern Recognit., 2022

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, Upasana Upadhyay Bharadwaj, Zhusi Zhong, Jie Li, Shuxin Wang, Shuo Li

Medical Image Anal., 2021

Quality-driven deep active learning method for 3D brain MRI segmentation.

Zhenxi Zhang, Jie Li, Chunna Tian, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao

Neurocomputing, 2021

2020

Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction.

Zhenxi Zhang, Chunna Tian, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao

CoRR, 2020

2019

A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation.

Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao

CoRR, 2019

A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment.

Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms.

Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI.

Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao

Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019