Modeling of human artery tissue with probabilistic approach. - Linfei Xiong; Chee-Kong Chui; Yabo Fu; Chee Leong Teo; Yao Li (Comput. Biol. Medicine, 2015)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)