Bo Zhou

Ph.D. Candidate

300 Cedar Street
Yale School of Medicine
Yale Univeristy
New Haven, CT, 06511

Email: bo.zhou at yale.edu


Biography [CV]

I am a final year Ph.D. candidate at the School of Engineering and Applied Science, Yale University. I am 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, advised by Prof. David L. Wilson.

News

Selected Publications [Google Scholar]

                                                   
DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-dose CT Reconstruction.
Bo Zhou, Xiongchao Chen, Huidong Xie, S. Kevin Zhou, James S. Duncan, Chi Liu.
IEEE Transactions on Medical Imaging (TMI), 2022.

[paper]

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.

[paper]

Federated Transfer Learning for Low-dose PET Denoising: A Pilot Study with Simulated Heterogeneous Data
Bo Zhou, Tianshun Miao, Niloufar Mirian, Xiongchao Chen, Huidong Xie, Zhicheng Feng, Xueqi Guo, Xiaoxiao Li, S. Kevin Zhou, James S. Duncan, Chi Liu.
IEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2022.

[paper]

DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction
Bo Zhou, Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.

[paper]

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), 2021.

[paper]

Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network.
Bo Zhou, Rui Wang, Ming-Kai Chen, Adam Mecca, Ryan O'Dell, Christopher Van Dyck, Richard Carson, James S. Duncan, Chi Liu.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

[paper][code]

Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth.
Bo Zhou, Chi Liu, James S. Duncan
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

[paper][code]

MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-dose Gated PET.
Bo Zhou, Yu-Jung Tsai, Xiongchao Chen, James S. Duncan, Chi Liu.
IEEE Transactions on Medical Imaging (TMI), 2021.

[paper][code]

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.

[paper][code]

Limited View Tomographic Reconstruction using a Cascaded Residual Dense Spatial-Channel Attention Network with Projection Data Fidelity Layer.
Bo Zhou, S. Kevin Zhou, James S. Duncan, Chi Liu.
IEEE Transactions on Medical Imaging (TMI), 2021.

[paper]

Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning.
Bo Zhou, Yu-Jung Tsai, Chi Liu.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

[paper]

DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior.
Bo Zhou, S. Kevin Zhou.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

[paper][code]

CT Data Curation for Liver Patients: PhaseRecognition in Dynamic Contrast-Enhanced CT.
Bo Zhou, Adam P. Harrison, Jiawen Yao, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu.
Medical Image Computing and Computer Assisted Intervention Workshops (MICCAI-MIL), 2019.

[paper]

A Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions.
Bo Zhou, Antong Chen, Randolph Crawford, Belma Dogdas, Gregory Goldmarcher.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.

[paper]

Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network.
Bo Zhou*, Xunyu Lin*, Brendan Eck, Jun Hou, David Wilson.
Asian Conference on Computer Vision (ACCV), 2018.

[paper][code]

Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations.
Guannan Zhao*, Bo Zhou*(co-first author), Kaiwen Wang, Rui Jiang, Min Xu.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018.

[paper][code]

Detection and Quantification of Coronary Calcium from Dual Energy Chest X-rays: Phantom Feasibility Study.
Bo Zhou, Di Wen, Katelyn Nye, Robert C. Gilkeson, Brendan Eck, David Jordan, David L. Wilson.
Medical Physics, 2017.

[paper]

Honors & Awards

SNMMI Young Investigator Award
MICCAI Student Travel Award
ASNC Young Investigator Award Finalist
Yale PhD Fellowship
CWRU Outstanding Master Award
SMU Guo-Zhewei Technology Innovation Award

Professional Activities

  • Conference Reviews:

  • Medical Image Computing and Computer Assisted Intervention (MICCAI) '2019 '2021 '2022
    Conference on Computer Vision and Pattern Recognition (CVPR) '2022 '2023
    European Conference on Computer Vision (ECCV) '2022
    International Conference on Computer Vision (ICCV) '2021
    AAAI Conference on Artificial Intelligence (AAAI) '2021
    International Conference on Machine Learning (ICML) '2021 '2022
    Neural Information Processing Systems (NeurIPS) '2020 '2022
    Winter Conference on Application of Computer Vision (WACV) '2023
    International Conference on Information Processing in Computer-Assisted Interventions (IPCAI) '2022
  • Journal Reviews:

  • Medical Image Analysis
    IEEE Transactions on Medical Imaging
    IEEE Transactions on Pattern Analysis and Machine Intelligence
    IEEE Transactions on Circuits and Systems for Video Technology
    IEEE Transactions on Industrial Informatics
    IEEE Journal of Biomedical and Health Informatics
    IEEE Access
    International Journal of Computer Vision
    Medical Physics
    Artificial Intelligence in Medicine
    Quantitative Imaging in Medicine and Surgery
    International Journal of Computer Assisted Radiology and Surgery
    The Journal of Machine Learning for Biomedical Imaging
    PLOS ONE
    Frontiers in Medicine
    Frontiers in Oncology
    Frontiers in Neurorobotics
    Computer Methods and Programs in Biomedicine
    Computational and Mathematical Methods in Medicine
    American Journal of Diagnostic Imaging
    Digital Signal Processing
    Complex & Intelligent Systems
    ACM Transactions on Multimedia Computing, Communications and Applications
    Engineering Applications of Artificial Intelligence
    Computational Intelligence and Neuroscience

    Teaching

    YALE2022 Spring BENG406 Medical Software Design
    YALE2021 Fall ENAS510 Physical and Chemical Basis of Bioimaging and Biosensing
    YALE2020 Fall ENAS912 Biomedical Image Processing and Analysis
    CWRU2016 Spring EBME410 Medical Imaging Fundamentals


    © Bo Zhou| Last updated: Dec 2022