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ORCIDJeffrey D. Bradley
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2020 – today
- 2023
[c30]Luke Matkovic, Yang Lei, Yabo Fu, Tonghe Wang, Aparna H. Kesarwala
, Marian Axente, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deformable image registration of chest CT using deep cycle network. Medical Imaging: Image-Guided Procedures 2023- 2022
- [j1]Jing Wang, Xiaofeng Yang, Boran Zhou, James J. Sohn, Jun Zhou, Jesse T. Jacob, Kristin Higgins, Jeffrey D. Bradley, Tian Liu:
Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic. J. Imaging 8(3): 65 (2022) - [c29]Yang Lei, Yabo Fu, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Longitudinal deformable MRI registration via dual-feasible deep learning-based framework. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c28]Yang Lei, Shadab Momin, Zhen Tian, Justin Roper, Jolinta Lin, Shannon Kahn, Hui-Kuo Shu, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c27]Yabo Fu, Yang Lei, Tonghe Wang, Justin Roper, Marian Axente, Jeffrey D. Bradley, Tian Liu, Kristin Higgins, Xiaofeng Yang:
CT-based volumetric strain imaging via a deep learning registration framework. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c26]Shaoyan Pan, Yang Lei, Tonghe Wang, Jacob F. Wynne, Justin Roper, Ashesh B. Jani, Pretesh Patel, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Male pelvic multi-organ segmentation using V-transformer network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c25]Richard L. J. Qiu, Yang Lei, Joseph Shelton, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Aparna H. Kesarwala, Xiaofeng Yang:
CBCT lung multi-OAR segmentation via hierarchical network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c24]Tonghe Wang, Yang Lei, Eduard Schreibmann, Justin Roper, David M. Schuster, Jeffrey D. Bradley, Tian Liu, Ashesh B. Jani, Xiaofeng Yang:
Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c23]Huiqiao Xie, Yang Lei, Tonghe Wang, Marian Axente, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deep learning-based contrast-enhanced MRI using cascade networks with local supervision. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c22]Yang Lei, Tonghe Wang, Justin Roper, Sibo Tian, Pretesh Patel, Jeffrey D. Bradley, Ashesh B. Jani, Tian Liu, Xiaofeng Yang:
Neurovascular bundles segmentation on MRI via hierarchical object activation network. Medical Imaging: Computer-Aided Diagnosis 2022 - [c21]Yabo Fu, Yang Lei, Zhen Tian, Tonghe Wang, Xianjin Dai, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy. Medical Imaging: Computer-Aided Diagnosis 2022 - [c20]Shaoyan Pan, Zhen Tian, Yang Lei, Tonghe Wang, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation. Medical Imaging: Computer-Aided Diagnosis 2022 - [c19]Huiqiao Xie, Yang Lei, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Tian Liu, Hui Mao, Xiaofeng Yang:
High-resolution MR imaging using self-supervised parallel network. Medical Imaging: Computer-Aided Diagnosis 2022 - [c18]Yang Lei, Zhen Tian, Tonghe Wang, Marian Axente, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Fast 3D imaging via deep learning for deep inspiration breath-hold lung radiotherapy. Medical Imaging: Image-Guided Procedures 2022 - [c17]Chih-Wei Chang, Yang Lei, Tonghe Wang, Liyong Lin, Jun Zhou, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Using orthogonal 2D kV images for target localization via central matching networks. Medical Imaging: Image-Guided Procedures 2022 - [c16]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:
Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy. Medical Imaging: Image-Guided Procedures 2022 - [c15]Yabo Fu, Yang Lei, Tonghe Wang, Marian Axente, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deep learning based volume-to-slice MRI registration via intentional overfitting. Medical Imaging: Image-Guided Procedures 2022 - [c14]Shadab Momin, Yang Lei, Jiahan Zhang, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution. Medical Imaging: Image-Guided Procedures 2022 - [c13]Yang Lei, Zhen Tian, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deep-learning-based markerless tumor localization using 2D KV/MV image. Medical Imaging: Image Processing 2022 - [c12]Chih-Wei Chang, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapy. Medical Imaging: Image Processing 2022 - [c11]Qian Wang, Huiqiao Xie, Tonghe Wang, Justin Roper, Xiangyang Tang, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Iterative material decomposition with gradient L0-norm minimization for dual-energy CT. Medical Imaging: Image Processing 2022 - [i1]Huiqiao Xie, Yang Lei, Yabo Fu, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy. CoRR abs/2208.13686 (2022) - 2021
- [c10]Yang Lei, Zhen Tian, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Mask R-CNN-based tumor localization and segmentation in 4D Lung CT. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c9]Tonghe Wang, Yang Lei, Zhen Tian, Matt Giles, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang:
4D cone-beam CT deformable registration using unsupervised spatial transformation network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c8]Yang Lei, Zhen Tian, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Deep learning-based 3D image generation using a single 2D projection image. Medical Imaging: Image Processing 2021 - [c7]Richard L. J. Qiu, Yang Lei, Aparna H. Kesarwala, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching. Medical Imaging: Image Processing 2021 - 2020
- [c6]Yabo Fu, Yang Lei, Tonghe Wang, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang:
An unsupervised deep learning approach for 4DCT lung deformable image registration. Medical Imaging: Image Processing 2020: 113132T
2010 – 2019
- 2010
- [c5]Jung Hun Oh, Jeffrey Craft, Rawan Al-Lozi, Manushka Vaidya, Yifan Meng, Joseph O. Deasy, Jeffrey D. Bradley, Issam El-Naqa:
Predicting Local Failure in Lung Cancer Using Bayesian Networks. ICMLA 2010: 735-739
2000 – 2009
- 2008
- [c4]Phaneendra K. Yalavarthy, Daniel A. Low, Camille Noel, Zhouping Wei, Deshan Yang, Aditya P. Apte, Jeffrey D. Bradley, Joseph Deasy, Issam El-Naqa:
Current role of PET in oncology: Potentials and challenges in the management of non-small cell lung cancer. ACSCC 2008: 1067-1071 - [c3]Issam El-Naqa, Jeffrey D. Bradley, Joseph Deasy:
Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities. ICMLA 2008: 539-544 - 2006
- [c2]Issam El-Naqa, Daniel A. Low, Jeffrey D. Bradley, Milos Vicic, Joseph Deasy:
Compensation of breathing motion artifacts in thoracic PET images by wavelet-based deconvolution. ISBI 2006: 980-983 - [c1]Wei Lu, Joo Hyun Song, Gary E. Christensen, Parag J. Parikh, Jeffrey D. Bradley, Daniel A. Low:
Modeling lung motion using consistent image registration in four-dimensional computed tomography for radiation therapy. Medical Imaging: Image Processing 2006: 61442L
Coauthor Index
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