Two-stage sparse representation-based face recognition with reconstructed images. - Guangtao Cheng; Zhanjie Song; Yang Lei 002; Xiuning Han (J. Electronic Imaging, 2014)

Non-Convex Low-Rank Approximation for Image Denoising and Deblurring. - Yang Lei 002; Zhanjie Song; Qiwei Song (IEICE Trans. Inf. Syst., 2016)

Pseudo CT estimation from MRI using patch-based random forest. - Xiaofeng Yang 005; Yang Lei 002; Hui-Kuo Shu; Peter Rossi; Hui Mao; Hyunsuk Shim; Walter J. Curran; Tian Liu 004 (Image Processing, 2017)

Pseudo CT Estimation using Patch-based Joint Dictionary Learning. - Yang Lei 002; Hui-Kuo Shu; Sibo Tian; Tonghe Wang; Tian Liu 004; Hui Mao; Hyunsuk Shim; Walter J. Curran; Xiaofeng Yang 005 (EMBC, 2018)

Machine-learning based classification of glioblastoma using dynamic susceptibility enhanced MR image. - Jiwoong Jason Jeong; Bing Ji; Yang Lei 002; Liya Wang; Tian Liu 004; Arif Ali; Walter J. Curran; Hui Mao; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Brain MRI classification based on machine learning framework with auto-context model. - Yang Lei 002; Yingzi Liu; Tonghe Wang; Sibo Tian; Xue Dong; Xiaojun Jiang; Tian Liu 004; Hui Mao; Walter J. Curran; Hui-Kuo Shu; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

A learning-based automatic segmentation method on left ventricle in SPECT imaging. - Tonghe Wang; Yang Lei 002; Haipeng Tang; Joseph Harms; Cheng Wang; Tian Liu 004; Walter J. Curran; Weihua Zhou; Dianfu Li; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Machine-learning-based classification of Glioblastoma using MRI-based radiomic features. - Ge Cui; Jiwoong Jason Jeong; Yang Lei 002; Tonghe Wang; Tian Liu 004; Walter J. Curran; Hui Mao; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2019)

Automatic multi-organ segmentation in thorax CT images using U-Net-GAN. - Yang Lei 002; Yingzi Liu; Xue Dong; Sibo Tian; Tonghe Wang; Xiaojun Jiang; Kristin Higgins; Jonathan J. Beitler; David S. Yu; Tian Liu 004; Walter J. Curran; Yi Fang; et al. (Computer-Aided Diagnosis, 2019)

Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution. - Bo Wang; Yang Lei 002; Jiwoong Jason Jeong; Tonghe Wang; Yingzi Liu; Sibo Tian; Pretesh Patel; Xiaojun Jiang; Ashesh B. Jani; Hui Mao; Walter J. Curran; Tian Liu 004; et al. (Computer-Aided Diagnosis, 2019)

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)

4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network. - Yang Lei 002; Yabo Fu; Joseph Harms; Tonghe Wang; Walter J. Curran; Tian Liu 004; Kristin Higgins; Xiaofeng Yang 005 (AIRT@MICCAI, 2019)

CBCT-Based Synthetic MRI Generation for CBCT-Guided Adaptive Radiotherapy. - Yang Lei 002; Tonghe Wang; Joseph Harms; Yabo Fu; Xue Dong; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (AIRT@MICCAI, 2019)

MRI-based synthetic CT generation using deep convolutional neural network. - Yang Lei 002; Tonghe Wang; Yingzi Liu; Kristin Higgins; Sibo Tian; Tian Liu 004; Hui Mao; Hyunsuk Shim; Walter J. Curran; Hui-Kuo Shu; Xiaofeng Yang 005 (Image Processing, 2019)

Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN. - Bo Wang; Yang Lei 002; Tonghe Wang; Xue Dong; Sibo Tian; Xiaojun Jiang; Ashesh B. Jani; Tian Liu 004; Walter J. Curran; Pretesh Patel; Xiaofeng Yang 005 (Image Processing, 2019)

Deep Learning in Medical Image Registration: A Review. - Yabo Fu; Yang Lei 002; Tonghe Wang; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (CoRR, 2019)

Intensity non-uniformity correction in MR imaging using deep learning. - Xianjin Dai; Yang Lei 002; Yingzi Liu; Tonghe Wang; Walter J. Curran; Pretesh Patel; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

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)

Left ventricular myocardium segmentation in coronary computed tomography angiography using 3D deep attention u-net. - Xiuxiu He; Bangjun Guo; Yang Lei 002; Joseph Harms; Tonghe Wang; Tian Liu 004; Longjiang Zhang; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Brain tumor segmentation using 3D mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging. - Jiwoong Jason Jeong; Yang Lei 002; Hui-Kuo Shu; Tian Liu 004; Liya Wang; Walter J. Curran; Hui Mao; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Multi-organ segmentation in pelvic CT images with CT-based synthetic MRI. - Yang Lei 002; Xue Dong; Sibo Tian; Tonghe Wang; Pretesh Patel; Walter J. Curran; Ashesh B. Jani; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

MRI-aided attenuation correction for PET imaging with deep learning. - Yang Lei 002; Xue Dong; Tonghe Wang; Kristin Higgins; Tian Liu 004; Walter J. Curran; Jonathan A. Nye; Hui Mao; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Attenuation correction without structural images for PET imaging. - Yang Lei 002; Tonghe Wang; Xue Dong; Kristin Higgins; Tian Liu 004; Walter J. Curran; Hui Mao; Jonathon A. Nye; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Multiparametric MRI-guided high-dose-rate prostate brachytherapy with focal dose boost to dominant intraprostatic lesions. - Tonghe Wang; Matt Giles; Robert H. Press; Xianjin Dai; Ashesh B. Jani; Peter Rossi; Yang Lei 002; Walter J. Curran; Pretesh Patel; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Organ-at-Risk (OAR) segmentation in head and neck CT using U-RCNN. - Yang Lei 002; Joseph Harms; Xue Dong; Tonghe Wang; Xiangyang Tang; David S. Yu; Jonathan J. Beitler; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2020)

Automatic detection of brain metastases using 3D mask R-CNN for stereotactic radiosurgery. - Yang Lei 002; Zhen Tian; Shannon Kahn; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2020)

Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net. - Yabo Fu; Yang Lei 002; Tonghe Wang; Xiaojun Jiang; Walter J. Curran; Tian Liu 004; Hui-Kuo Shu; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2020)

Mask R-CNN based coronary artery segmentation in coronary computed tomography angiography. - Yabo Fu; Bangjun Guo; Yang Lei 002; Tonghe Wang; Tian Liu 004; Walter J. Curran; Longjiang Zhang; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2020)

Benign and malignant thyroid classification using computed tomography radiomics. - Bangjun Guo; Xiuxiu He; Tonghe Wang; Yang Lei 002; Walter J. Curran; Tian Liu 004; Longjiang Zhang; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2020)

3D thyroid segmentation in CT using self-attention convolutional neural network. - Xiuxiu He; Bangjun Guo; Yang Lei 002; Yingzi Liu; Tonghe Wang; Walter J. Curran; Longjiang Zhang; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2020)

Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics. - Xiuxiu He; Bangjun Guo; Tonghe Wang; Yang Lei 002; Tian Liu 004; Longjiang Zhang; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2020)

Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT. - Yabo Fu; Yang Lei 002; Yingzi Liu; Tonghe Wang; Walter J. Curran; Tian Liu 004; Pretesh Patel; Xiaofeng Yang 005 (Image Processing, 2020)

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)

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)

Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-Net. - Xiuxiu He; Bangjun Guo; Yang Lei 002; Tonghe Wang; Tian Liu 004; Walter J. Curran; Longjiang Zhang; Xiaofeng Yang 005 (Image Processing, 2020)

Super-resolution magnetic resonance imaging reconstruction using deep attention networks. - Xiuxiu He; Yang Lei 002; Yabo Fu; Hui Mao; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2020)

Estimating standard-dose PET from low-dose PET with deep learning. - Yang Lei 002; Xue Dong; Tonghe Wang; Kristin Higgins; Tian Liu 004; Walter J. Curran; Hui Mao; Jonathan A. Nye; Xiaofeng Yang 005 (Image Processing, 2020)

Multi-modality MRI arbitrary transformation using unified generative adversarial networks. - Yang Lei 002; Yabo Fu; Hui Mao; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2020)

Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography. - Yang Lei 002; Sibo Tian; Yabo Fu; Xue Dong; Tonghe Wang; Ashesh B. Jani; David M. Schuster; Walter J. Curran; Pretesh Patel; 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)

Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks. - Qiulan Zeng; Yabo Fu; Jiwoong Jason Jeong; Yang Lei 002; Tonghe Wang; Hui Mao; Ashesh B. Jani; Pretesh Patel; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2020)

Machine Learning in Quantitative PET Imaging. - Tonghe Wang; Yang Lei 002; Yabo Fu; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (CoRR, 2020)

Deep Learning in Multi-organ Segmentation. - Yang Lei 002; Yabo Fu; Tonghe Wang; Richard L. J. Qiu; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (CoRR, 2020)

Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning. - Yupei Zhang; Xiuxiu He; Zhen Tian; Jiwoong Jason Jeong; Yang Lei 002; Tonghe Wang; Qiulan Zeng; Ashesh B. Jani; Walter J. Curran; Pretesh Patel; Tian Liu 004; Xiaofeng Yang 005 (IEEE Trans. Medical Imaging, 2020)

Deep learning-based denoising for magnetic resonance spectroscopy signals. - Yang Lei 002; Bing Ji; Tian Liu 004; Walter J. Curran; Hui Mao; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

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)

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)

A learning-based nonrigid MRI-CBCT image registration method for MRI-guided prostate cancer radiotherapy. - Yabo Fu; Yang Lei 002; Tonghe Wang; Pretesh Patel; Ashesh B. Jani; Hui Mao; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging. - Jiwoong Jason Jeong; Yang Lei 002; Karen Xu; Tian Liu 004; Hyunsuk Shim; Walter J. Curran; Hui-Kuo Shu; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Prostate and tumor segmentation on PET/CT using Dual Mask R-CNN. - Tonghe Wang; Yang Lei 002; Oladunni O. Akin-Akintayo; Olayinka A. Abiodun Ojo; Akinyemi A. Akintayo; Walter J. Curran; Tian Liu 004; David M. Schuster; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Contrast-enhanced MRI synthesis from non-contrast MRI using attention CycleGAN. - Tonghe Wang; Yang Lei 002; 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 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)

Fully automated segmentation of brain tumor from multiparametric MRI using 3D context U-Net with deep supervision. - Mingquan Lin; Shadab Momin; Boran Zhou; Katherine Tang; Yang Lei 002; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2021)

Deep learning-based deformable MRI-CBCT registration of male pelvic region. - Shadab Momin; Yang Lei 002; Tonghe Wang; Yabo Fu; Pretesh Patel; Ashesh B. Jani; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2021)

MRI-based prostate and dominant lesion segmentation using deep neural network. - Tonghe Wang; Yang Lei 002; Olayinka A. Abiodun Ojo; Oladunni A. Akin-Akintayo; Akinyemi A. Akintayo; Walter J. Curran; Tian Liu 004; David M. Schuster; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2021)

Region of interest discovery using discriminative concrete autoencoder for COVID-19 lung CT images. - Yupei Zhang; Yang Lei 002; Mingquan Lin; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2021)

Multi-organ segmentation of male pelvic CT using dual attention networks. - Yang Lei 002; Tonghe Wang; Sibo Tian; Yabo Fu; Pretesh Patel; Ashesh B. Jani; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2021)

Region proposal network for multi-organ segmentation in CT for pancreatic radiotherapy. - Xianjin Dai; Yang Lei 002; James Janopaul-Naylor; Tonghe Wang; Justin Roper; Tian Liu 004; Walter J. Curran; Pretesh Patel; Xiaofeng Yang 005 (Image-Guided Procedures, 2021)

Deep learning-based volumetric image generation from projection imaging for prostate radiotherapy. - Xianjin Dai; Yang Lei 002; Zhen Tian; Tonghe Wang; Tian Liu 004; Walter J. Curran; Xiaofeng Yang 005 (Image-Guided Procedures, 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)

Deep learning-based multi-catheter reconstruction for MRI-guided HDR prostate brachytherapy. - Xianjin Dai; Yang Lei 002; Yupei Zhang; Tonghe Wang; Walter J. Curran; Pretesh Patel; 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)

CT-MRI pelvic deformable registration via deep learning. - Shadab Momin; Yang Lei 002; Tonghe Wang; Yabo Fu; Pretesh Patel; Ashesh B. Jani; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2021)

Radiation dose prediction for pancreatic stereotactic body radiotherapy via convention neural networks. - Shadab Momin; Yang Lei 002; Tonghe Wang; Yabo Fu; Pretesh Patel; Ashesh B. Jani; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2021)

Ultrasound multi-needle detection using deep attention U-Net with TV regularizations. - Yupei Zhang; Yang Lei 002; Xiuxiu He; Zhen Tian; Jiwoong Jason Jeong; Tonghe Wang; Qiulan Zeng; Ashesh B. Jani; Walter J. Curran; Pretesh Patel; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2021)

Prostate dose prediction in HDR Brachytherapy using unsupervised multi-atlas fusion. - Yang Lei 002; Yabo Fu; Tonghe Wang; Walter J. Curran; Tian Liu 004; Pretesh Patel; Xiaofeng Yang 005 (Image Processing, 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)

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)

Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy. - Yabo Fu; Yang Lei 002; Tonghe Wang; Sibo Tian; Pretesh Patel; Ashesh B. Jani; 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)

Multi-organ segmentation on head and neck dual-energy CT using Deep Neural Networks. - Tonghe Wang; Yang Lei 002; Mark McDonald; Jonathan J. Beitler; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2021)

Lung tumor segmentation of PET/CT using dual pyramid mask R-CNN. - Tonghe Wang; Yang Lei 002; Sibo Tian; Tian Liu 004; Walter J. Curran; Kristin Higgins; Xiaofeng Yang 005 (Image Processing, 2021)

Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy. - Huiqiao Xie; Yang Lei 002; Tonghe Wang; Yabo Fu; Xiangyang Tang; Walter J. Curran; Pretesh Patel; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2021)

Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review. - Mingquan Lin; Jacob F. Wynne; Yang Lei 002; Tonghe Wang; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (CoRR, 2021)

Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching. - Yabo Fu; Yang Lei 002; Tonghe Wang; Pretesh Patel; Ashesh B. Jani; Hui Mao; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Medical Image Anal., 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)

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)

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)

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)

Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory. - Yupei Zhang; Xianjin Dai; Zhen Tian; Yang Lei 002; Jacob F. Wynne; Pretesh Patel; Yue Chen; Tian Liu 004; Xiaofeng Yang 005 (CoRR, 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)

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)