Jun Zhou

25 papers B 5Journal 4Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Foundation Models in Medical Image Analysis: A Systematic Review and Meta-Analysis.
CoRR
Praveenbalaji Rajendran, Mojtaba Safari, Wenfeng He, Mingzhe Hu, Shansong Wang, Jun Zhou, Xiaofeng Yang
2025 — conf
Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy.
MLHC
Malvern Madondo, Yuan Shao, Yingzi Liu, Jun Zhou, Xiaofeng Yang, Zhen Tian
2025 J jnl
Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy.
CoRR
Malvern Madondo, Yuan Shao, Yingzi Liu, Jun Zhou, Xiaofeng Yang, Zhen Tian
2024 J jnl
Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration.
CoRR
Yang Lei, Luke A. Matkovic, Justin Roper, Tonghe Wang, Jun Zhou, Beth B. Ghavidel, Mark McDonald, Pretesh Patel, Xiaofeng Yang
2023 — conf
Quantification of radiation damage for proton craniospinal irradiation using magnetic resonance imaging.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Chih-Wei Chang, Matthew Goette, Nadja Kadom, Yinan Wang, Jacob F. Wynne, Tonghe Wang, Tian Liu, Natia Esiashvili, Jun Zhou, Bree R. Eaton, Xiaofeng Yang
2022 B conf
A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapy.
Image Processing
Chih-Wei Chang, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022 — conf
An unsupervised patient-specific metal artifact reduction framework for proton therapy.
Image-Guided Procedures
Chih-Wei Chang, Yang Lei, Serdar Charyyev, Shuai Leng, Tim Yoon, Jun Zhou, Xiaofeng Yang, Liyong Lin
2022 — conf
Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy.
Image-Guided Procedures
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
2022 — conf
CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation.
Computer-Aided Diagnosis
Shaoyan Pan, Zhen Tian, Yang Lei, Tonghe Wang, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022 — conf
Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy.
Computer-Aided Diagnosis
Yabo Fu, Yang Lei, Zhen Tian, Tonghe Wang, Xianjin Dai, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022 J jnl
Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic.
J. Imaging
Jing Wang, Xiaofeng Yang, Boran Zhou, James J. Sohn, Jun Zhou, Jesse T. Jacob, Kristin Higgins, Jeffrey D. Bradley, Tian Liu
2022 — conf
Using orthogonal 2D kV images for target localization via central matching networks.
Image-Guided Procedures
Chih-Wei Chang, Yang Lei, Tonghe Wang, Liyong Lin, Jun Zhou, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2021 — conf
Abdominal CT-CBCT deformable image registration using Deep Neural Network with directional local structural similarity.
Image-Guided Procedures
Yabo Fu, Yang Lei, Tonghe Wang, Jun Zhou, Pretesh Patel, Walter J. Curran, Tian Liu, Xiaofeng Yang
2021 — conf
Deep attention mask regional convolutional neural network for head-and-neck MRI multi-organ auto-delineation.
Computer-Aided Diagnosis
Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Walter J. Curran, Tian Liu, Xiaofeng Yang
2021 — conf
Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors.
Computer-Aided Diagnosis
Yabo Fu, Yang Lei, Tonghe Wang, Jun Zhou, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang
2021 — conf
Residual mask scoring regional convolutional neural network for multi-organ segmentation in head-and-neck CT.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Justin Roper, Mark McDonald, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang
2021 B conf
Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy.
Image Processing
Xianjin Dai, Yang Lei, James Janopaul-Naylor, Tonghe Wang, Justin Roper, Jun Zhou, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang
2021 — conf
Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CT.
Image-Guided Procedures
Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Walter J. Curran, Tian Liu, Xiaofeng Yang
2020 B conf
Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning.
Image Processing
Yingzi Liu, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Tian Liu, Pretesh Patel, Walter J. Curran, Lei Ren, Xiaofeng Yang
2020 B conf
Multi-organ segmentation in head and neck MRI using U-Faster-RCNN.
Image Processing
Yang Lei, Jun Zhou, Xue Dong, Tonghe Wang, Hui Mao, Mark McDonald, Walter J. Curran, Tian Liu, Xiaofeng Yang
2020 B conf
Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction.
Image Processing
Yabo Fu, Yang Lei, Jun Zhou, Tonghe Wang, Ashesh B. Jani, Pretesh Patel, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang
2020 — conf
Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Yabo Fu, Yang Lei, Jun Zhou, Tonghe Wang, David S. Yu, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang
2019 — conf
Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images.
Computer-Aided Diagnosis
Tonghe Wang, Yang Lei, Ghazal Shafai-Erfani, XiaoJun Jiang, Xue Dong, Jun Zhou, Tian Liu, Walter J. Curran, Xiaofeng Yang, Hui-Kuo Shu
2015 — conf
Particle swarm optimization for radiation therapy planning.
BCB
Daniel Riofrío, Shuang Luan, Jun Zhou, Lijun Ma
2008 — conf
Measurements of Radiation-Induced Skin Changes in Breast-Cancer Radiation Therapy Using Ultrasonic Imaging.
BMEI (2)
Tian Liu, Jun Zhou, K. Sunshine Osterman, Pengpeng Zhang, Shermian A. Woodhouse, Peter B. Schiff, Gerald J. Kutcher