Measurements of Radiation-Induced Skin Changes in Breast-Cancer Radiation Therapy Using Ultrasonic Imaging. - Tian Liu 004; Jun Zhou 025; K. Sunshine Osterman; Pengpeng Zhang; Shermian A. Woodhouse; Peter B. Schiff; Gerald J. Kutcher (BMEI (2), 2008)

Particle swarm optimization for radiation therapy planning. - Daniel Riofrío; Shuang Luan; Jun Zhou 025; Lijun Ma (BCB, 2015)

Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images. - Tonghe Wang; Yang Lei 002; Ghazal Shafai-Erfani; Xiaojun Jiang; Xue Dong; Jun Zhou 025; Tian Liu 004; Walter J. Curran; Xiaofeng Yang 005; Hui-Kuo Shu (Computer-Aided Diagnosis, 2019)

Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy. - Yabo Fu; Yang Lei 002; Jun Zhou 025; Tonghe Wang; David S. Yu; Jonathan J. Beitler; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction. - Yabo Fu; Yang Lei 002; Jun Zhou 025; Tonghe Wang; Ashesh B. Jani; Pretesh Patel; Hui Mao; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2020)

Multi-organ segmentation in head and neck MRI using U-Faster-RCNN. - Yang Lei 002; Jun Zhou 025; Xue Dong; Tonghe Wang; Hui Mao; Mark McDonald; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2020)

Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning. - Yingzi Liu; Yang Lei 002; Tonghe Wang; Jun Zhou 025; Liyong Lin; Tian Liu 004; Pretesh Patel; Walter J. Curran; Lei Ren; Xiaofeng Yang 005 (Image Processing, 2020)

Residual mask scoring regional convolutional neural network for multi-organ segmentation in head-and-neck CT. - Xianjin Dai; Yang Lei 002; Tonghe Wang; Jun Zhou 025; Justin Roper; Mark McDonald; Jonathan J. Beitler; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Deep attention mask regional convolutional neural network for head-and-neck MRI multi-organ auto-delineation. - Xianjin Dai; Yang Lei 002; Tonghe Wang; Jun Zhou 025; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2021)

Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors. - Yabo Fu; Yang Lei 002; Tonghe Wang; Jun Zhou 025; Walter J. Curran; Pretesh Patel; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2021)

Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CT. - Xianjin Dai; Yang Lei 002; Tonghe Wang; Jun Zhou 025; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2021)

Abdominal CT-CBCT deformable image registration using Deep Neural Network with directional local structural similarity. - Yabo Fu; Yang Lei 002; Tonghe Wang; Jun Zhou 025; Pretesh Patel; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2021)

Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy. - Xianjin Dai; Yang Lei 002; James Janopaul-Naylor; Tonghe Wang; Justin Roper; Jun Zhou 025; Walter J. Curran; Tian Liu 004; Pretesh Patel; Xiaofeng Yang 005 (Image Processing, 2021)

Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy. - Yabo Fu; Yang Lei 002; Zhen Tian; Tonghe Wang; Xianjin Dai; Jun Zhou 025; Mark McDonald; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2022)

CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation. - Shaoyan Pan; Zhen Tian; Yang Lei 002; Tonghe Wang; Jun Zhou 025; Mark McDonald; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2022)

An unsupervised patient-specific metal artifact reduction framework for proton therapy. - Chih-Wei Chang; Yang Lei 002; Serdar Charyyev; Shuai Leng; Tim Yoon; Jun Zhou 025; Xiaofeng Yang 005; Liyong Lin (Image-Guided Procedures, 2022)

Using orthogonal 2D kV images for target localization via central matching networks. - Chih-Wei Chang; Yang Lei 002; Tonghe Wang; Liyong Lin; Jun Zhou 025; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2022)

Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy. - Xianjin Dai; Yang Lei 002; Tonghe Wang; Zhen Tian; Jun Zhou 025; Mark McDonald; David S. Yu; Beth B. Ghavidel; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 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 002; Tonghe Wang; Jun Zhou 025; Liyong Lin; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2022)

Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic. - Jing Wang 118; Xiaofeng Yang 005; Boran Zhou; James J. Sohn; Jun Zhou 025; Jesse T. Jacob; Kristin Higgins; Jeffrey D. Bradley; Tian Liu 004 (J. Imaging, 2022)

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 004; Natia Esiashvili; Jun Zhou 025; Bree R. Eaton; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration. - Yang Lei 002; Luke A. Matkovic; Justin Roper; Tonghe Wang; Jun Zhou 025; Beth B. Ghavidel; Mark McDonald; Pretesh Patel; Xiaofeng Yang 005 (CoRR, 2024)

Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy. - Malvern Madondo; Yuan Shao; Yingzi Liu; Jun Zhou 025; Xiaofeng Yang 005; Zhen Tian (CoRR, 2025)