Bo Zhou, PhDAssistant Professor (Research) of Radiology
737 N. Michigan Avenue Suite 1600 |
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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 (with the highest Yale PhD honor - Harding Bliss Prize) 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, advised by Prof. David L. Wilson.
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] |
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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] |
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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] |
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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] |
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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] |
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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. |
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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. |
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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. |
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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. |
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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] |
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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] |
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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. |
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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] |
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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] |
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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. |
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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. |
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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] |
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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 |
EJNMMI Physics |
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 |
Patterns |
Complex & Intelligent Systems |
ACM Transactions on Multimedia Computing, Communications and Applications |
Engineering Applications of Artificial Intelligence |
Computational Intelligence and Neuroscience |
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 |
YALE | 2022 Spring | BENG406 Medical Software Design |
YALE | 2021 Fall | ENAS510 Physical and Chemical Basis of Bioimaging and Biosensing |
YALE | 2020 Fall | ENAS912 Biomedical Image Processing and Analysis |
CWRU | 2016 Spring | EBME410 Medical Imaging Fundamentals |