Jeffrey D. Bradley

33 papers B 7C 2Journal 2Unranked 22

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Deformable image registration of chest CT using deep cycle network. Image-Guided Procedures Luke Matkovic, Yang Lei, Yabo Fu, Tonghe Wang, Aparna H. Kesarwala, Marian Axente, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	B	`conf`	A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapy. Image Processing Chih-Wei Chang, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	—	`conf`	Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy. Image-Guided Procedures 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
2022	—	`conf`	Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network. Biomedical Applications in Molecular, Structural, and Functional Imaging Yang Lei, Shadab Momin, Zhen Tian, Justin Roper, Jolinta Lin, Shannon Kahn, Hui-Kuo Shu, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	—	`conf`	CBCT lung multi-OAR segmentation via hierarchical network. Biomedical Applications in Molecular, Structural, and Functional Imaging Richard L. J. Qiu, Yang Lei, Joseph Shelton, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Aparna H. Kesarwala, Xiaofeng Yang
2022	—	`conf`	CT-based volumetric strain imaging via a deep learning registration framework. Biomedical Applications in Molecular, Structural, and Functional Imaging Yabo Fu, Yang Lei, Tonghe Wang, Justin Roper, Marian Axente, Jeffrey D. Bradley, Tian Liu, Kristin Higgins, Xiaofeng Yang
2022	—	`conf`	CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation. Computer-Aided Diagnosis Shaoyan Pan, Zhen Tian, Yang Lei, Tonghe Wang, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	—	`conf`	Deep learning based volume-to-slice MRI registration via intentional overfitting. Image-Guided Procedures Yabo Fu, Yang Lei, Tonghe Wang, Marian Axente, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	—	`conf`	Deep learning-based contrast-enhanced MRI using cascade networks with local supervision. Biomedical Applications in Molecular, Structural, and Functional Imaging Huiqiao Xie, Yang Lei, Tonghe Wang, Marian Axente, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	—	`conf`	Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy. Computer-Aided Diagnosis Yabo Fu, Yang Lei, Zhen Tian, Tonghe Wang, Xianjin Dai, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	—	`conf`	Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET. Biomedical Applications in Molecular, Structural, and Functional Imaging Tonghe Wang, Yang Lei, Eduard Schreibmann, Justin Roper, David M. Schuster, Jeffrey D. Bradley, Tian Liu, Ashesh B. Jani, Xiaofeng Yang
2022	B	`conf`	Deep-learning-based markerless tumor localization using 2D KV/MV image. Image Processing Yang Lei, Zhen Tian, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	—	`conf`	Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution. Image-Guided Procedures Shadab Momin, Yang Lei, Jiahan Zhang, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang
2022	J	`jnl`	Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy. CoRR Huiqiao Xie, Yang Lei, Yabo Fu, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang
2022	—	`conf`	Deformable histopathology-MRI image registration using deep learning. Digital and Computational Pathology Yabo Fu, Yang Lei, David M. Schuster, Sagar A. Patel, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	—	`conf`	Fast 3D imaging via deep learning for deep inspiration breath-hold lung radiotherapy. Image-Guided Procedures Yang Lei, Zhen Tian, Tonghe Wang, Marian Axente, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	—	`conf`	High-resolution MR imaging using self-supervised parallel network. Computer-Aided Diagnosis Huiqiao Xie, Yang Lei, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Tian Liu, Hui Mao, Xiaofeng Yang
2022	B	`conf`	Iterative material decomposition with gradient L0-norm minimization for dual-energy CT. Image Processing Qian Wang, Huiqiao Xie, Tonghe Wang, Justin Roper, Xiangyang Tang, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	—	`conf`	Longitudinal deformable MRI registration via dual-feasible deep learning-based framework. Biomedical Applications in Molecular, Structural, and Functional Imaging Yang Lei, Yabo Fu, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	—	`conf`	Male pelvic multi-organ segmentation using V-transformer network. Biomedical Applications in Molecular, Structural, and Functional Imaging Shaoyan Pan, Yang Lei, Tonghe Wang, Jacob F. Wynne, Justin Roper, Ashesh B. Jani, Pretesh Patel, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2022	—	`conf`	Neurovascular bundles segmentation on MRI via hierarchical object activation network. Computer-Aided Diagnosis Yang Lei, Tonghe Wang, Justin Roper, Sibo Tian, Pretesh Patel, Jeffrey D. Bradley, Ashesh B. Jani, Tian Liu, Xiaofeng Yang
2022	J	`jnl`	Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic. J. Imaging Jing Wang, Xiaofeng Yang, Boran Zhou, James J. Sohn, Jun Zhou, Jesse T. Jacob, Kristin Higgins, Jeffrey D. Bradley, Tian Liu
2022	—	`conf`	Using orthogonal 2D kV images for target localization via central matching networks. Image-Guided Procedures Chih-Wei Chang, Yang Lei, Tonghe Wang, Liyong Lin, Jun Zhou, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
2021	—	`conf`	4D cone-beam CT deformable registration using unsupervised spatial transformation network. Biomedical Applications in Molecular, Structural, and Functional Imaging Tonghe Wang, Yang Lei, Zhen Tian, Matt Giles, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang
2021	B	`conf`	Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching. Image Processing Richard L. J. Qiu, Yang Lei, Aparna H. Kesarwala, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang
2021	B	`conf`	Deep learning-based 3D image generation using a single 2D projection image. Image Processing Yang Lei, Zhen Tian, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang
2021	—	`conf`	Mask R-CNN-based tumor localization and segmentation in 4D Lung CT. Biomedical Applications in Molecular, Structural, and Functional Imaging Yang Lei, Zhen Tian, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang
2020	B	`conf`	An unsupervised deep learning approach for 4DCT lung deformable image registration. Image Processing Yabo Fu, Yang Lei, Tonghe Wang, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang
2010	C	`conf`	Predicting Local Failure in Lung Cancer Using Bayesian Networks. ICMLA Jung Hun Oh, Jeffrey Craft, Rawan Al-Lozi, Manushka Vaidya, Yifan Meng, Joseph O. Deasy, Jeffrey D. Bradley, Issam El-Naqa
2008	—	`conf`	Current role of PET in oncology: Potentials and challenges in the management of non-small cell lung cancer. ACSCC Phaneendra K. Yalavarthy, Daniel A. Low, Camille Noel, ZhouPing Wei, Deshan Yang, Aditya P. Apte, Jeffrey D. Bradley, Joseph Deasy, Issam El-Naqa
2008	C	`conf`	Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities. ICMLA Issam El-Naqa, Jeffrey D. Bradley, Joseph Deasy
2006	—	`conf`	Compensation of breathing motion artifacts in thoracic PET images by wavelet-based deconvolution. ISBI Issam El-Naqa, Daniel A. Low, Jeffrey D. Bradley, Milos Vicic, Joseph Deasy
2006	B	`conf`	Modeling lung motion using consistent image registration in four-dimensional computed tomography for radiation therapy. Image Processing Wei Lu, Joo Hyun Song, Gary E. Christensen, Parag J. Parikh, Jeffrey D. Bradley, Daniel A. Low