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Bo Zhou

Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network


Jul 12, 2021
Bo Zhou, Rui Wang, Ming-Kai Chen, Adam P. Mecca, Ryan S. O'Dell, Christopher H. Van Dyck, Richard E. Carson, James S. Duncan, Chi Liu

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* Accepted at MICCAI 2021 
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Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth


Jul 12, 2021
Bo Zhou, Chi Liu, James S. Duncan

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* Accepted at MICCAI 2021 
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Action Set Based Policy Optimization for Safe Power Grid Management


Jun 29, 2021
Bo Zhou, Hongsheng Zeng, Yuecheng Liu, Kejiao Li, Fan Wang, Hao Tian

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* accepted by ECML PKDD 2021; 1st place in NeurIPS2020 RL challenge: power grid management 
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Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration


Apr 14, 2021
Bo Zhou, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan

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* 12 pages, 8 figures, published at Medical Image Analysis (MedIA), code available at https://github.com/bbbbbbzhou/APA2Seg-Net 
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Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning


Nov 29, 2020
Anton Smerdov, Andrey Somov, Evgeny Burnaev, Bo Zhou, Paul Lukowicz

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Collection and Validation of Psycophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset


Nov 02, 2020
Anton Smerdov, Bo Zhou, Paul Lukowicz, Andrey Somov

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Long-distance tiny face detection based on enhanced YOLOv3 for unmanned system


Oct 09, 2020
Jia-Yi Chang, Yan-Feng Lu, Ya-Jun Liu, Bo Zhou, Hong Qiao

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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results


Sep 25, 2020
Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Haoyu Zhong, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Feras Almasri, Thomas Vandamme, Olivier Debeir

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* European Conference on Computer Vision Workshops, 2020 
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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


Sep 14, 2020
Bo Zhou, Yu-Jung Tsai, Chi Liu

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* Accepted at MICCAI 2020 
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Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency


Sep 03, 2020
Bo Zhou, S. Kevin Zhou, James S. Duncan, Chi Liu

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* Submitted to the IEEE for possible publication 
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DeepFaceLab: A simple, flexible and extensible face swapping framework


May 20, 2020
Ivan Perov, Daiheng Gao, Nikolay Chervoniy, Kunlin Liu, Sugasa Marangonda, Chris UmΓ©, Mr. Dpfks, Carl Shift Facenheim, Luis RP, Jian Jiang, Sheng Zhang, Pingyu Wu, Bo Zhou, Weiming Zhang

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A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials


Mar 05, 2020
Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher

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* Accepted by International Symposium on Biomedical Imaging (ISBI) 2020 
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DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior


Jan 11, 2020
Bo Zhou, S. Kevin Zhou

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Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion


Dec 10, 2019
Bo Zhou, Hongsheng Zeng, Fan Wang, Yunxiang Li, Hao Tian

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* 1st place in NeurIPS 2019: Learn to Move - Walk Around competition and best paper award 
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CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT


Sep 27, 2019
Bo Zhou, Adam P. Harrison, Jiawen Yao, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu

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* 11 pages, accepted by 2019 MICCAI - Medical Image Learning with Less Labels and Imperfect Data Workshop 
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Artificial Intelligence for Prosthetics - challenge solutions


Feb 07, 2019
Łukasz KidziΕ„ski, Carmichael Ong, Sharada Prasanna Mohanty, Jennifer Hicks, Sean F. Carroll, Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech JaΕ›kowski, Garrett Andersen, Odd Rune LykkebΓΈ, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias LjungstrΓΆm, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy Watson, Marcel SalathΓ©, Sergey Levine, Scott Delp

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Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation


Nov 15, 2018
Fan Wang, Bo Zhou, Ke Chen, Tingxiang Fan, Xi Zhang, Jiangyong Li, Hao Tian, Jia Pan

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* Wang, F., Zhou, B., Chen, K., Fan, T., Zhang, X., Li, J., ... & Pan, J. (2018, October). Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation. In Conference on Robot Learning (pp. 410-421) 
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A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions


Nov 11, 2018
Bo Zhou, Randolph Crawford, Belma Dogdas, Gregory Goldmacher, Antong Chen

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* 10 pages, 7 figures, 3 tables, accepted by 2019 IEEE Winter Conference on Applications of Computer Vision (2019 WACV) 
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A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities


Nov 05, 2018
Bo Zhou, Yuemeng Li, Jiangcong Wang

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* 10 pages, 6 figures; accepted by IEEE Winter Conference on Applications of Computer Vision (2019 WACV) 
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Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network


Oct 22, 2018
Bo Zhou, Xunyu Lin, Brendan Eck, Jun Hou, David Wilson

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* 16 pages, 7 figures, accepted by Asian Conference on Computer Vision (2018 ACCV) 
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Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations


Jun 07, 2018
Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu

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* Medical Image Computing & Computer Assisted Intervention (MICCAI) 2018 
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Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography


Jan 31, 2018
Jialiang Guo, Bo Zhou, Xiangrui Zeng, Zachary Freyberg, Min Xu

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* International Conference on Image Analysis and Recognition (ICIAR) 2018 
 * 8 pages 
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Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms


Jan 31, 2018
Bo Zhou, Qiang Guo, Xiangrui Zeng, Min Xu

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* 14 pages 
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Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction


Sep 09, 2017
Yanwei Pang, Bo Zhou, Feiping Nie

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Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Footstep Detection


Jul 14, 2017
Monit Shah Singh, Vinaychandran Pondenkandath, Bo Zhou, Paul Lukowicz, Marcus Liwicki

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* 8 pages, 8 figures, Published in IJCNN, 2017 Copyright: IEEE 2017 DOI: 10.1109/IJCNN.2017.7966182 
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