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ORCIDJun Zhou 0025
Person information
- affiliation: Emory University, School of Medicine, Atlanta, GA, USA
Other persons with the same name
- Jun Zhou — disambiguation page
- Jun Zhou 0001
![[0000-0001-5822-8233]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5822-8233")
— Griffith University, School of Information and Communication Technology, Nathan, QLD, Australia (and 1 more) - Jun Zhou 0002 — Broadcom Limited, Irvine, CA, USA (and 1 more)
- Jun Zhou 0003 — Donghua University, College of Information Sciences and Technology, Shanghai, China (and 1 more)
- Jun Zhou 0004 — Southwest University, School of Mathematics and Statistics, Chongqing, China
- Jun Zhou 0005 — Yangtze Normal University, School of Mathematics and Computer Science, Chongqing, China
- Jun Zhou 0006 — Chang'an University, School of Earth Sciences and Resources, Xi'an, China (and 1 more)
- Jun Zhou 0007 — Shanghai Jiao Tong University, Institute of Image Communication and Information Processing, China
- Jun Zhou 0008 — University of California, San Diego, USA
- Jun Zhou 0009 — University of Stuttgart, Germany
- Jun Zhou 0010 — Hohai University, College of Energy and Electrical Engineering, Nanjing, China (and 1 more)
- Jun Zhou 0011 — Ant Financial Services Group, AI Department (Beijing), China
- Jun Zhou 0012 — Zhongyuan Institute of Technology, College of Electronic Information, Zhengzhou, China
- Jun Zhou 0013 — University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, USA (and 1 more)
- Jun Zhou 0014 — National University of Singapore, School of Computing, Singapore
- Jun Zhou 0015 — Nanjing Agricultural University, College of Engineering, China
- Jun Zhou 0016 — Anhui University, School of Computer Science and Technology, Anhui Engineering Laboratory of IoT Security Technologies, Hefei, China
- Jun Zhou 0017 — University of Electronic Science and Technology of China, Smart ICs and Systems Research Group, Chengdu, China (and 2 more)
- Jun Zhou 0018 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China (and 1 more)
- Jun Zhou 0019 — Hunan Normal University, College of Mathematics and Statistics, Changsha, China (and 1 more)
- Jun Zhou 0020 — Northwestern Polytechnical University, Institute of Precision Guidance and Control / School of Astronautics, Xi'an, China
- Jun Zhou 0021 — Dalian University of Technology, School of Control Science and Engineering, China
- Jun Zhou 0022 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China
- Jun Zhou 0023 — Dalian Maritime University, Information Science and Technology College, China (and 1 more)
- Jun Zhou 0024 — Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Beijing, China
- Jun Zhou 0026 — China University of Geosciences, School of Automation, Wuhan, China
- Jun Zhou 0027 — Southeast University, School of Cyber Science and Engineering, Nanjing, China
- Jun Zhou 0028 — China University of Petroleum (East China), College of Oceanography and Space Informatics, Qingdao, China
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2020 – today
- 2024
[i1]Yang Lei, Luke A. Matkovic, Justin Roper, Tonghe Wang, Jun Zhou, Beth B. Ghavidel, Mark McDonald, Pretesh Patel, Xiaofeng Yang:
Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration. CoRR abs/2405.02692 (2024)- 2023
- [c20]Chih-Wei Chang, Matt Goette, Nadja Kadom, Yinan Wang, Jacob F. Wynne, Tonghe Wang, Tian Liu, Natia Esiashvili, Jun Zhou, Bree R. Eaton, Xiaofeng Yang:
Quantification of radiation damage for proton craniospinal irradiation using magnetic resonance imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - 2022
- [j1]Jing Wang, Xiaofeng Yang, Boran Zhou, James J. Sohn, Jun Zhou, Jesse T. Jacob, Kristin Higgins, Jeffrey D. Bradley, Tian Liu:
Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic. J. Imaging 8(3): 65 (2022) - [c19]Yabo Fu, Yang Lei, Zhen Tian, Tonghe Wang, Xianjin Dai, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy. Computer-Aided Diagnosis 2022 - [c18]Shaoyan Pan, Zhen Tian, Yang Lei, Tonghe Wang, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation. Computer-Aided Diagnosis 2022 - [c17]Chih-Wei Chang, Yang Lei, Serdar Charyyev, Shuai Leng, Tim Yoon, Jun Zhou, Xiaofeng Yang, Liyong Lin:
An unsupervised patient-specific metal artifact reduction framework for proton therapy. Image-Guided Procedures 2022 - [c16]Chih-Wei Chang, Yang Lei, Tonghe Wang, Liyong Lin, Jun Zhou, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Using orthogonal 2D kV images for target localization via central matching networks. Image-Guided Procedures 2022 - [c15]Xianjin Dai, Yang Lei, Tonghe Wang, Zhen Tian, Jun Zhou, Mark McDonald, David S. Yu, Beth B. Ghavidel, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy. Image-Guided Procedures 2022 - [c14]Chih-Wei Chang, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapy. Image Processing 2022 - 2021
- [c13]Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Justin Roper, Mark McDonald, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Residual mask scoring regional convolutional neural network for multi-organ segmentation in head-and-neck CT. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c12]Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Deep attention mask regional convolutional neural network for head-and-neck MRI multi-organ auto-delineation. Computer-Aided Diagnosis 2021 - [c11]Yabo Fu, Yang Lei, Tonghe Wang, Jun Zhou, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors. Computer-Aided Diagnosis 2021 - [c10]Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CT. Image-Guided Procedures 2021 - [c9]Yabo Fu, Yang Lei, Tonghe Wang, Jun Zhou, Pretesh Patel, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Abdominal CT-CBCT deformable image registration using Deep Neural Network with directional local structural similarity. Image-Guided Procedures 2021 - [c8]Xianjin Dai, Yang Lei, James Janopaul-Naylor, Tonghe Wang, Justin Roper, Jun Zhou, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang:
Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy. Image Processing 2021 - 2020
- [c7]Yabo Fu, Yang Lei, Jun Zhou, Tonghe Wang, David S. Yu, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131728 - [c6]Yingzi Liu, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Tian Liu, Pretesh Patel, Walter J. Curran, Lei Ren, Xiaofeng Yang:
Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning. Image Processing 2020: 113132L - [c5]Yang Lei, Jun Zhou, Xue Dong, Tonghe Wang, Hui Mao, Mark McDonald, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Multi-organ segmentation in head and neck MRI using U-Faster-RCNN. Image Processing 2020: 113133A - [c4]Yabo Fu, Yang Lei, Jun Zhou, Tonghe Wang, Ashesh B. Jani, Pretesh Patel, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction. Image Processing 2020: 1131329
2010 – 2019
- 2019
- [c3]Tonghe Wang, Yang Lei, Ghazal Shafai-Erfani, Xiaojun Jiang, Xue Dong, Jun Zhou, Tian Liu, Walter J. Curran, Xiaofeng Yang, Hui-Kuo Shu:
Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images. Computer-Aided Diagnosis 2019: 109504D - 2015
- [c2]Daniel Riofrío, Shuang Luan, Jun Zhou, Lijun Ma:
Particle swarm optimization for radiation therapy planning. BCB 2015: 250-257
2000 – 2009
- 2008
- [c1]Tian Liu, Jun Zhou, K. Sunshine Osterman, Pengpeng Zhang, Shermian A. Woodhouse, Peter B. Schiff, Gerald J. Kutcher:
Measurements of Radiation-Induced Skin Changes in Breast-Cancer Radiation Therapy Using Ultrasonic Imaging. BMEI (2) 2008: 718-722
Coauthor Index
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last updated on 2025-06-02 21:53 CEST by the dblp team
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