Jun Zhou

According to our database, Jun Zhou authored at least 23 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy.

Malvern Madondo, Yuan Shao, Yingzi Liu, Jun Zhou, Xiaofeng Yang, Zhen Tian

CoRR, June, 2025

2024

Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration.

Yang Lei, Luke A. Matkovic, Justin Roper, Tonghe Wang, Jun Zhou, Beth B. Ghavidel, Mark McDonald, Pretesh Patel, Xiaofeng Yang

CoRR, 2024

2023

Quantification of radiation damage for proton craniospinal irradiation using magnetic resonance imaging.

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

Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

2022

Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic.

Jing Wang, Xiaofeng Yang, Boran Zhou, James J. Sohn, Jun Zhou, Jesse T. Jacob, Kristin Higgins, Jeffrey D. Bradley, Tian Liu

J. Imaging, 2022

A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapy.

Chih-Wei Chang, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy.

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

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Using orthogonal 2D kV images for target localization via central matching networks.

Chih-Wei Chang, Yang Lei, Tonghe Wang, Liyong Lin, Jun Zhou, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

An unsupervised patient-specific metal artifact reduction framework for proton therapy.

Chih-Wei Chang, Yang Lei, Serdar Charyyev, Shuai Leng, Tim Yoon, Jun Zhou, Xiaofeng Yang, Liyong Lin

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation.

Shaoyan Pan, Zhen Tian, Yang Lei, Tonghe Wang, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy.

Yabo Fu, Yang Lei, Zhen Tian, Tonghe Wang, Xianjin Dai, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy.

Xianjin Dai, Yang Lei, James Janopaul-Naylor, Tonghe Wang, Justin Roper, Jun Zhou, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Abdominal CT-CBCT deformable image registration using Deep Neural Network with directional local structural similarity.

Yabo Fu, Yang Lei, Tonghe Wang, Jun Zhou, Pretesh Patel, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CT.

Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors.

Yabo Fu, Yang Lei, Tonghe Wang, Jun Zhou, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Deep attention mask regional convolutional neural network for head-and-neck MRI multi-organ auto-delineation.

Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Residual mask scoring regional convolutional neural network for multi-organ segmentation in head-and-neck CT.

Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Justin Roper, Mark McDonald, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020

Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning.

Yingzi Liu, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Tian Liu, Pretesh Patel, Walter J. Curran, Lei Ren, Xiaofeng Yang

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Multi-organ segmentation in head and neck MRI using U-Faster-RCNN.

Yang Lei, Jun Zhou, Xue Dong, Tonghe Wang, Hui Mao, Mark McDonald, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction.

Yabo Fu, Yang Lei, Jun Zhou, Tonghe Wang, Ashesh B. Jani, Pretesh Patel, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy.

Yabo Fu, Yang Lei, Jun Zhou, Tonghe Wang, David S. Yu, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019

Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images.

Tonghe Wang, Yang Lei, Ghazal Shafai-Erfani, Xiaojun Jiang, Xue Dong, Jun Zhou, Tian Liu, Walter J. Curran, Xiaofeng Yang, Hui-Kuo Shu

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2015

Particle swarm optimization for radiation therapy planning.

Daniel Riofrío, Shuang Luan, Jun Zhou, Lijun Ma

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2008

Measurements of Radiation-Induced Skin Changes in Breast-Cancer Radiation Therapy Using Ultrasonic Imaging.

Tian Liu, Jun Zhou, K. Sunshine Osterman, Pengpeng Zhang, Shermian A. Woodhouse, Peter B. Schiff, Gerald J. Kutcher

Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008