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 Google Scholar | GitHub | ResearchGate | LinkedIn | ORCID

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.

News

• [05/2025] One IEEE-TMI paper on 2.5D Diffusion Model accepted
• [04/2025] One IEEE-TRPMS paper on Investigation on Attenuation Correction accepted
• [11/2024] Received the prestigious IEEE Bruce Hasegawa Young Investigator Medical Imaging Science Award
• [11/2024] One IEEE-TMI paper on Low-dose PET Attenuation Correction accepted
• [08/2024] One MedIA paper on Medical Image Tranalstion accepted
• [05/2024] AIMP-Lab Launched at Northwestern University
• [05/2024] Received Harding Bliss Prize - Highest PhD Honer in Yale School of Engineering (SEAS)

Selected Publications [Find full list at Google Scholar]

• 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
  [code]
• 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
  [code]
• 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
  [code]

Group

Current Members

• Jinkui Hao (Post-Doc Fellow)
• Ziqiao Weng (Visiting PhD Student)
• Jiahe Qian (In-residence Z-Training Program)
• Zifei Dong (In-residence Z-Training Program)
• Xinran Gong (In-residence Z-Training Program)
• Xiaoyi He (In-residence Z-Training Program)
• Bifei Hao (Northwestern ECE MS Student)
• Mitch Weng (Northwestern ECE MS Student)
• Michael Gomez (Northwestern BME MS Student)

Past Trainees

• Yicheng Gao (Z-Training Program), Current: USC CS PhD Program
• Yuxuan Zhang (Z-Training Program), Current: USC CS MS 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.