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ORCIDZhusi Zhong
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2020 – today
- 2024
[j4]Zhusi Zhong
, Jie Li, Shreyas Kulkarni, Helen Zhang, Fayez H. Fayad, Yang Li, Scott Collins, Harrison Bai, Sun Ho Ahn, Michael K. Atalay, Xinbo Gao, Zhicheng Jiao:
De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. IEEE J. Biomed. Health Informatics 28(6): 3732-3741 (2024)- [c6]Xinwei Lai, Ying Wang, Jie Li, Zhusi Zhong, Xin Yang:
Mitigating Racial Bias in Chest X-Ray Disease Diagnosis Via Disentanglement Learning. ISBI 2024: 1-5 - [c5]Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison Bai, Qiguang Miao:
Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation. MICCAI (3) 2024: 433-443 - [i9]Zhusi Zhong, Jie Li, Zhuoqi Ma, Scott Collins, Harrison Bai, Paul Zhang, Terrance Healey, Xinbo Gao, Michael K. Atalay, Zhicheng Jiao:
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19. CoRR abs/2405.02815 (2024) - [i8]Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison Bai, Paul Zhang, Terrence Healey, Michael Atalay, Xinbo Gao, Zhicheng Jiao:
Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. CoRR abs/2405.14113 (2024) - [i7]Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison Bai, Qiguang Miao:
Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation. CoRR abs/2405.14905 (2024) - [i6]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:
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data. CoRR abs/2406.01302 (2024) - [i5]Guang Yang, Jie Li, Xin Liu, Zhusi Zhong, Xinbo Gao:
Infrared and Visible Image Fusion with Hierarchical Human Perception. CoRR abs/2409.09291 (2024) - 2023
- [c4]Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao:
Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. MICCAI (5) 2023: 515-525 - [i4]Zhusi Zhong, Jie Li, Lulu Bi, Li Yang, Ihab Kamel, Rama Chellappa, Xinbo Gao, Harrison Bai, Zhicheng Jiao:
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation. CoRR abs/2306.08213 (2023) - 2022
- [j3]Zhenxi Zhang, Chunna Tian, Xinbo Gao, Jie Li, Zhicheng Jiao, Cui Wang, Zhusi Zhong:
Collaborative boundary-aware context encoding networks for error map prediction. Pattern Recognit. 125: 108515 (2022) - 2021
- [j2]Zhenxi Zhang, Jie Li, Chunna Tian, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
Quality-driven deep active learning method for 3D brain MRI segmentation. Neurocomputing 446: 106-117 (2021) - [j1]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:
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge. Medical Image Anal. 72: 102115 (2021) - 2020
- [i3]Zhenxi Zhang, Chunna Tian, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction. CoRR abs/2006.14345 (2020)
2010 – 2019
- 2019
- [c3]Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI. IScIDE (1) 2019: 285-298 - [c2]Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao:
A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment. CSI@MICCAI 2019: 101-106 - [c1]Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao:
An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. MICCAI (6) 2019: 540-548 - [i2]Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation. CoRR abs/1906.07367 (2019) - [i1]Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao:
An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. CoRR abs/1906.07549 (2019)
Coauthor Index
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