Compensation of breathing motion artifacts in thoracic PET images by wavelet-based deconvolution. - Issam El-Naqa; Daniel A. Low; Jeffrey D. Bradley; Milos Vicic; Joseph Deasy (ISBI, 2006)

Modeling lung motion using consistent image registration in four-dimensional computed tomography for radiation therapy. - Wei Lu 025; Joo Hyun Song; Gary E. Christensen; Parag J. Parikh; Jeffrey D. Bradley; Daniel A. Low (Image Processing, 2006)

Current role of PET in oncology: Potentials and challenges in the management of non-small cell lung cancer. - Phaneendra K. Yalavarthy; Daniel A. Low; Camille Noel; Zhouping Wei; Deshan Yang; Aditya P. Apte; Jeffrey D. Bradley; Joseph Deasy; Issam El-Naqa (ACSCC, 2008)

Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities. - Issam El-Naqa; Jeffrey D. Bradley; Joseph Deasy (ICMLA, 2008)

Predicting Local Failure in Lung Cancer Using Bayesian Networks. - Jung Hun Oh; Jeffrey Craft; Rawan Al-Lozi; Manushka Vaidya; Yifan Meng; Joseph O. Deasy; Jeffrey D. Bradley; Issam El-Naqa (ICMLA, 2010)

An unsupervised deep learning approach for 4DCT lung deformable image registration. - Yabo Fu; Yang Lei 002; Tonghe Wang; Kristin Higgins; Jeffrey D. Bradley; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2020)

Mask R-CNN-based tumor localization and segmentation in 4D Lung CT. - Yang Lei 002; Zhen Tian; Tonghe Wang; Justin Roper; Kristin Higgins; Jeffrey D. Bradley; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

4D cone-beam CT deformable registration using unsupervised spatial transformation network. - Tonghe Wang; Yang Lei 002; Zhen Tian; Matt Giles; Jeffrey D. Bradley; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Deep learning-based 3D image generation using a single 2D projection image. - Yang Lei 002; Zhen Tian; Tonghe Wang; Justin Roper; Kristin Higgins; Jeffrey D. Bradley; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2021)

Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching. - Richard L. J. Qiu; Yang Lei 002; Aparna H. Kesarwala; Kristin Higgins; Jeffrey D. Bradley; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2021)

Longitudinal deformable MRI registration via dual-feasible deep learning-based framework. - Yang Lei 002; Yabo Fu; Justin Roper; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network. - Yang Lei 002; Shadab Momin; Zhen Tian; Justin Roper; Jolinta Lin; Shannon Kahn; Hui-Kuo Shu; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

CT-based volumetric strain imaging via a deep learning registration framework. - Yabo Fu; Yang Lei 002; Tonghe Wang; Justin Roper; Marian Axente; Jeffrey D. Bradley; Tian Liu 004; Kristin Higgins; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Male pelvic multi-organ segmentation using V-transformer network. - Shaoyan Pan; Yang Lei 002; Tonghe Wang; Jacob F. Wynne; Justin Roper; Ashesh B. Jani; Pretesh Patel; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

CBCT lung multi-OAR segmentation via hierarchical network. - Richard L. J. Qiu; Yang Lei 002; Joseph Shelton; Kristin Higgins; Jeffrey D. Bradley; Tian Liu 004; Aparna H. Kesarwala; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET. - Tonghe Wang; Yang Lei 002; Eduard Schreibmann; Justin Roper; David M. Schuster; Jeffrey D. Bradley; Tian Liu 004; Ashesh B. Jani; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Deep learning-based contrast-enhanced MRI using cascade networks with local supervision. - Huiqiao Xie; Yang Lei 002; Tonghe Wang; Marian Axente; Justin Roper; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Neurovascular bundles segmentation on MRI via hierarchical object activation network. - Yang Lei 002; Tonghe Wang; Justin Roper; Sibo Tian; Pretesh Patel; Jeffrey D. Bradley; Ashesh B. Jani; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2022)

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)

High-resolution MR imaging using self-supervised parallel network. - Huiqiao Xie; Yang Lei 002; Tonghe Wang; Justin Roper; Jeffrey D. Bradley; Tian Liu 004; Hui Mao; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2022)

Deformable histopathology-MRI image registration using deep learning. - Yabo Fu; Yang Lei 002; David M. Schuster; Sagar A. Patel; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Digital and Computational Pathology, 2022)

Fast 3D imaging via deep learning for deep inspiration breath-hold lung radiotherapy. - Yang Lei 002; Zhen Tian; Tonghe Wang; Marian Axente; Justin Roper; Kristin Higgins; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (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)

Deep learning based volume-to-slice MRI registration via intentional overfitting. - Yabo Fu; Yang Lei 002; Tonghe Wang; Marian Axente; Justin Roper; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2022)

Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution. - Shadab Momin; Yang Lei 002; Jiahan Zhang; Tonghe Wang; Justin Roper; Jeffrey D. Bradley; Pretesh Patel; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2022)

Deep-learning-based markerless tumor localization using 2D KV/MV image. - Yang Lei 002; Zhen Tian; Richard L. J. Qiu; Tonghe Wang; Justin Roper; Kristin Higgins; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 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)

Iterative material decomposition with gradient L0-norm minimization for dual-energy CT. - Qian Wang; Huiqiao Xie; Tonghe Wang; Justin Roper; Xiangyang Tang; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2022)

Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy. - Huiqiao Xie; Yang Lei 002; Yabo Fu; Tonghe Wang; Justin Roper; Jeffrey D. Bradley; Pretesh Patel; Tian Liu 004; Xiaofeng Yang 005 (CoRR, 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)

Deformable image registration of chest CT using deep cycle network. - Luke Matkovic; Yang Lei 002; Yabo Fu; Tonghe Wang; Aparna H. Kesarwala; Marian Axente; Justin Roper; Kristin Higgins; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2023)