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Bo Zhou, PhD
Assistant Professor (Research) of Radiology
737 N. Michigan Avenue Suite 1600
Feinberg School of Medicine
Northwestern University
Chicago, IL, 60611, USA
Email: bo.zhou at northwestern.edu
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Biography
I am leading the Advanced AI in Medicine and Physics Laboratory (AIMP-Lab) at Department of Radiology, Northwestern University. I obtained my PhD from Yale University (Harding Bliss Prize Winner) where I was co-advised by Prof. Chi Liu at PET Center and Prof. James S. Duncan at IPAG. Before joining Yale, I received my Master of Science in Computer Vision (MSCV) at Robotics Institute, CMU, supervised by Prof. Min Xu and Prof. Srinivasa Narasimhan. Prior to that, I received my M.S. in Biomedical Engineering at Case Western Reserve University (Outstanding Master Awardee), advised by Prof. David L. Wilson. I am an Associate Editor at Medical Image Analysis and Guest Associate Editor at IEEE Transactions on Medical Imaging.
For prospective candidates who wish to join my lab as Post-doc fellow, PhD student,
Visiting student, Master student, or Research intern, please read
"THIS"
.
News
Selected Publications [Find full list at Google Scholar]
- SynCAS: Coronary Artery Segmentation in Non-contrast Cardiac CT using Anatomy-Informed Contrastive Learning and Synthetic Data
Jinkui Hao, Xiaoyi He, Gorkem Durak, Halil Ertugrul Aktas, Ulas Bagci, Nilay S. Shah, Bo Zhou
Physics in Medicine and Biology (PMB), 2026
- DOSTA-Net: Domain-Shuffle Temporal Attention Network for Vessel Extraction in X-Ray Coronary Angiography Using Synthetic Data
Jinkui Hao, Donald R. Cantrell, Ramez Abdalla, Sameer A. Ansari, Bo Zhou
IEEE Transactions on Medical Imaging (IEEE-TMI), 2026
- Sparser2Sparse: Single-shot Sparser-to-Sparse Learning for Spatial Transcriptomics Imputation with Natural Image Co-learning
Yaoyu Fang, Jiahe Qian, Xinkun Wang, Lee A Cooper, Bo Zhou
IEEE Journal of Biomedical and Health Informatics (IEEE-JBHI), 2026
- FedSKD: Aggregation-free Model-heterogeneous Federated Learning via Multi-dimensional Similarity Knowledge Distillation for Medical Image Classification
Ziqiao Weng, Weidong Cai, Bo Zhou
IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), 2026
- AMA-SAM: Adversarial Multi-domain Alignment of Segment Anything Model for High-fidelity Histology Nuclei Segmentation
Jiahe Qian, Yaoyu Fang, Jinkui Hao, Bo Zhou
Medical Image Analysis (MedIA), 2026
- HiFusion: Hierarchical Intra-Spot Alignment and Regional Context Fusion for Spatial Gene Expression Prediction from Histopathology
Ziqiao Weng, Yaoyu Fang, Jiahe Qian, Xinkun Wang, Lee AD Cooper, Weidong Cai, Bo Zhou
Association for the Advancement of Artificial Intelligence (AAAI), 2026
- FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
Yicheng Gao, Jinkui Hao, Bo Zhou
Medical Image Analysis (MedIA), 2025
- S2CAC: Semi-supervised Coronary Artery Calcium Segmentation via Scoring-driven Consistency and Negative Sample Boosting
Yicheng Gao, Jinkui Hao, Bo Zhou
Medical Image Analysis (MedIA), 2025
- Association of Cardiovascular Health and Time Lived with Zero Coronary Artery Calcium
Nilay Shah, Xiaoning Huang, Natalie Cameron, Lucia Petito, Bo Zhou, Norrina Allen, Mercedes Carnethon, Philip Greenland, Donald Lloyd-Jones, Sadiya Khan
JACC: Cardiovascular Imaging, 2025
- 2.5D Multi-View Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-Count PET Reconstruction with CT-less Attenuation Correction
Tianqi Chen, Jun Hou, Yinchi Zhou, Huidong Xie, Xiongchao Chen, Qiong Liu, Xueqi Guo, Menghua Xia, James S. Duncan, Chi Liu, Bo Zhou
IEEE Transactions on Medical Imaging (IEEE-TMI), 2025
- An Investigation on Cross-Tracer Generalizability of Deep Learning-Based PET Attenuation Correction
Jun Hou, Tianqi Chen, Yinchi Zhou, Xiongchao Chen, Huidong Xie, Qiong Liu, Menghua Xia, Vladimir Y Panin, Takuya Toyonaga, Chi Liu, Bo Zhou
IEEE Transactions on Radiation and Plasma Medical Sciences (IEEE-TRPMS), 2025
- Cascaded Multi-Path Shortcut Diffusion Model for Medical Image Translation
Yinchi Zhou, Tianqi Chen, Jun Hou, Huidong Xie, Nicha C Dvornek, S Kevin Zhou, David L Wilson, James S Duncan, Chi Liu, Bo Zhou
Medical Image Analysis (MedIA), 2024
- POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation
Bo Zhou, Jun Hou, Tianqi Chen, Yinchi Zhou, Xiongchao Chen, Huidong Xie, Qiong Liu, Xueqi Guo, Menghua Xia, Yu-Jung Tsai, Vladimir Y. Panin, Takuya Toyonaga, James S. Duncan, Chi Liu
IEEE Transactions on Medical Imaging (IEEE-TMI), 2024
- FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-Institutional Low-Count PET Denoising
Bo Zhou, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, Jun Hou, S Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu
Medical Image Analysis (MedIA), 2023
- Meta-Information-Aware Dual-Path Transformer for Differential Diagnosis of Multi-Type Pancreatic Lesions in Multi-Phase CT
Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S Duncan, Ling Zhang
International Conference on Information Processing in Medical Imaging (IPMI), 2023
- Fast-MC-PET: A Novel Deep Learning-Aided Motion Correction and Reconstruction Framework for Accelerated PET
Bo Zhou, Yu-Jung Tsai, Jiazhen Zhang, Xueqi Guo, Huidong Xie, Xiongchao Chen, Tianshun Miao, Yihuan Lu, James S Duncan, Chi Liu
International Conference on Information Processing in Medical Imaging (IPMI), 2023
- Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction
Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin Sheth, Chi Liu, James S. Duncan, Michal Sofka
Medical Image Analysis (MedIA), 2022
- DuDoDR-Net: Dual-Domain Data Consistent Recurrent Network for Simultaneous Sparse View and Metal Artifact Reduction in Computed Tomography
Bo Zhou, Xiongchao Chen, S Kevin Zhou, James S Duncan, Chi Liu
Medical Image Analysis (MedIA), 2022
- Anatomy-Guided Multimodal Registration by Learning Segmentation Without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration
Bo Zhou, Zachary Augenfeld, Julius Chapiro, S Kevin Zhou, Chi Liu, James S Duncan
Medical Image Analysis (MedIA), 2021
- DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior
Bo Zhou, S Kevin Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Group
Current Members
- Jinkui Hao (Post-Doc Fellow)
- Ziqiao Weng (Visiting PhD Student)
- Atreya Sridharan (Northwestern BME MS Student)
- Zhejia Zhang (Northwestern EE MS Student)
- Zhen Wan (Northwestern CE MS Student)
- Zixuan Lin (Northwestern ECE MS Student - Co-advise with Todd Parrish)
- Michael Gomez (Northwestern BME MS Student - Co-advise with Muhanad Fadhel)
- Bifei Hao (Northwestern ECE MS Student)
- Jiahe Qian (AIMP Research Intern Program)
- Zifei Dong (AIMP Research Intern Program)
- Xinran Gong (AIMP Research Intern Program)
- Yuhan Liu (AIMP Research Intern Program)
Past Trainees
- Yicheng Gao (AIMP Research Intern Program), Current: USC CS PhD Program
- Yuxuan Zhang (AIMP Research Intern Program), Current: USC CS MS Program
- Xiaoyi He (AIMP Research Intern Program), Current: ASU CS PhD Program
- Jun Hou, Current: Yale BME PhD Program
- Tianqi Chen, Current: Yale BME MS Program
Professional Activities
- Journal Reviewer: MedIA, IEEE-TMI, IEEE-TPAMI, EJNMMI, Medical Physics, Nature Communication, IJCV, etc.
- Conference Reviewer: MICCAI, CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, etc.