Jeffrey D. Bradley

According to our database, Jeffrey D. Bradley authored at least 33 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deformable image registration of chest CT using deep cycle network.

Luke Matkovic, Yang Lei, Yabo Fu, Tonghe Wang, Aparna H. Kesarwala, Marian Axente, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

2022

Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic.

Jing Wang, Xiaofeng Yang, Boran Zhou, James J. Sohn, Jun Zhou, Jesse T. Jacob, Kristin Higgins, Jeffrey D. Bradley, Tian Liu

J. Imaging, 2022

Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy.

Huiqiao Xie, Yang Lei, Yabo Fu, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang

CoRR, 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, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: 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, Tonghe Wang, Jun Zhou, Liyong Lin, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Deep-learning-based markerless tumor localization using 2D KV/MV image.

Yang Lei, Zhen Tian, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution.

Shadab Momin, Yang Lei, Jiahan Zhang, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Deep learning based volume-to-slice MRI registration via intentional overfitting.

Yabo Fu, Yang Lei, Tonghe Wang, Marian Axente, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy.

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

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Using orthogonal 2D kV images for target localization via central matching networks.

Chih-Wei Chang, Yang Lei, Tonghe Wang, Liyong Lin, Jun Zhou, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Fast 3D imaging via deep learning for deep inspiration breath-hold lung radiotherapy.

Yang Lei, Zhen Tian, Tonghe Wang, Marian Axente, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Deformable histopathology-MRI image registration using deep learning.

Yabo Fu, Yang Lei, David M. Schuster, Sagar A. Patel, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

High-resolution MR imaging using self-supervised parallel network.

Huiqiao Xie, Yang Lei, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Tian Liu, Hui Mao, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation.

Shaoyan Pan, Zhen Tian, Yang Lei, Tonghe Wang, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy.

Yabo Fu, Yang Lei, Zhen Tian, Tonghe Wang, Xianjin Dai, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Neurovascular bundles segmentation on MRI via hierarchical object activation network.

Yang Lei, Tonghe Wang, Justin Roper, Sibo Tian, Pretesh Patel, Jeffrey D. Bradley, Ashesh B. Jani, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Deep learning-based contrast-enhanced MRI using cascade networks with local supervision.

Huiqiao Xie, Yang Lei, Tonghe Wang, Marian Axente, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET.

Tonghe Wang, Yang Lei, Eduard Schreibmann, Justin Roper, David M. Schuster, Jeffrey D. Bradley, Tian Liu, Ashesh B. Jani, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

CBCT lung multi-OAR segmentation via hierarchical network.

Richard L. J. Qiu, Yang Lei, Joseph Shelton, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Aparna H. Kesarwala, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Male pelvic multi-organ segmentation using V-transformer network.

Shaoyan Pan, Yang Lei, Tonghe Wang, Jacob F. Wynne, Justin Roper, Ashesh B. Jani, Pretesh Patel, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

CT-based volumetric strain imaging via a deep learning registration framework.

Yabo Fu, Yang Lei, Tonghe Wang, Justin Roper, Marian Axente, Jeffrey D. Bradley, Tian Liu, Kristin Higgins, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network.

Yang Lei, Shadab Momin, Zhen Tian, Justin Roper, Jolinta Lin, Shannon Kahn, Hui-Kuo Shu, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Longitudinal deformable MRI registration via dual-feasible deep learning-based framework.

Yang Lei, Yabo Fu, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021

Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching.

Richard L. J. Qiu, Yang Lei, Aparna H. Kesarwala, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Deep learning-based 3D image generation using a single 2D projection image.

Yang Lei, Zhen Tian, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

4D cone-beam CT deformable registration using unsupervised spatial transformation network.

Tonghe Wang, Yang Lei, Zhen Tian, Matt Giles, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Mask R-CNN-based tumor localization and segmentation in 4D Lung CT.

Yang Lei, Zhen Tian, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020

An unsupervised deep learning approach for 4DCT lung deformable image registration.

Yabo Fu, Yang Lei, Tonghe Wang, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2020: Image Processing, 2020

2010

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

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2008

Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities.

Issam El-Naqa, Jeffrey D. Bradley, Joseph Deasy

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

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

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2006

Modeling lung motion using consistent image registration in four-dimensional computed tomography for radiation therapy.

Wei Lu, Joo Hyun Song, Gary E. Christensen, Parag J. Parikh, Jeffrey D. Bradley, Daniel A. Low

Proceedings of the Medical Imaging 2006: Image Processing, 2006

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

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006