Zhusi Zhong

26 papers Misc 1Journal 17Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for pulmonary embolism diagnosis and report generation from CTPA.
Medical Image Anal.
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
2025 J jnl
Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA.
CoRR
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
2025 Misc conf
Infrared and Visible Image Fusion with Hierarchical Human Perception.
ICASSP
Guang Yang, Jie Li, Xin Liu, Zhusi Zhong, Xinbo Gao
2025 J jnl
Multi-Modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation.
IEEE J. Biomed. Health Informatics
Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison X. Bai, Paul Zhang, Terrance Healey, Michael Atalay, Xingbo Gao, Zhicheng Jiao
2025 — conf
Risk-RAM: An Interpretable Deep Survival Prediction Model for COVID-19 Prognosis Using Chest X-Ray Images.
ISBI
Zhusi Zhong, Zhuoqi Ma, Thomas Y. Yi, Scott Collins, Grayson Baird, Harrison X. Bai, Paul Zhang, Terrance Healey, Michael K. Atalay, Zhicheng Jiao
2025 — conf
Transfering Coordinates to Heatmap: Regression-Based Framework for CXR Pulmonary Nodule Detection.
BIBM
Yang Li, Zhusi Zhong, Zhicheng Jiao
2025 J jnl
Vision-language model for report generation and outcome prediction in CT pulmonary angiogram.
npj Digit. Medicine
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
2024 J jnl
De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data.
IEEE J. Biomed. Health Informatics
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
2024 J jnl
Infrared and Visible Image Fusion with Hierarchical Human Perception.
CoRR
Guang Yang, Jie Li, Xin Liu, Zhusi Zhong, Xinbo Gao
2024 — conf
Mitigating Racial Bias in Chest X-Ray Disease Diagnosis Via Disentanglement Learning.
ISBI
Xinwei Lai, Ying Wang, Jie Li, Zhusi Zhong, Xin Yang
2024 J jnl
Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation.
CoRR
Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison X. Bai, Paul Zhang, Terrence Healey, Michael Atalay, Xinbo Gao, Zhicheng Jiao
2024 J jnl
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data.
CoRR
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
2024 J jnl
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19.
CoRR
Zhusi Zhong, Jie Li, Zhuoqi Ma, Scott Collins, Harrison X. Bai, Paul Zhang, Terrance Healey, Xinbo Gao, Michael K. Atalay, Zhicheng Jiao
2024 — conf
Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation.
MICCAI (3)
Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison X. Bai, Qiguang Miao
2024 J jnl
Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation.
CoRR
Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison X. Bai, Qiguang Miao
2023 — conf
Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model.
MICCAI (5)
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
2023 J jnl
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation.
CoRR
Zhusi Zhong, Jie Li, Lulu Bi, Li Yang, Ihab Kamel, Rama Chellappa, Xinbo Gao, Harrison X. Bai, Zhicheng Jiao
2022 J jnl
Collaborative boundary-aware context encoding networks for error map prediction.
Pattern Recognit.
Zhenxi Zhang, Chunna Tian, Xinbo Gao, Jie Li, Zhicheng Jiao, Cui Wang, Zhusi Zhong
2021 J jnl
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge.
Medical Image Anal.
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
2021 J jnl
Quality-driven deep active learning method for 3D brain MRI segmentation.
Neurocomputing
Zhenxi Zhang, Jie Li, Chunna Tian, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao
2020 J jnl
Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction.
CoRR
Zhenxi Zhang, Chunna Tian, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao
2019 — conf
A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment.
CSI@MICCAI
Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao
2019 — conf
A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI.
IScIDE (1)
Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao
2019 J jnl
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation.
CoRR
Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao
2019 — conf
An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms.
MICCAI (6)
Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao
2019 J jnl
An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms.
CoRR
Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao