Jeffrey D. Bradley - researchr alias

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Viewing Publication 1 - 32 from 32

2023

Deformable image registration of chest CT using deep cycle networkLuke Matkovic, Yang Lei 0002, Yabo Fu, Tonghe Wang, Aparna H. Kesarwala, Marian Axente, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. miigp 2023: [doi]

2022

Longitudinal deformable MRI registration via dual-feasible deep learning-based frameworkYang Lei 0002, Yabo Fu, Justin Roper, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. mibam 2022: [doi]

Neurovascular bundles segmentation on MRI via hierarchical object activation networkYang Lei 0002, Tonghe Wang, Justin Roper, Sibo Tian, Pretesh Patel, Jeffrey D. Bradley, Ashesh B. Jani, Tian Liu 0004, Xiaofeng Yang 0005. micad 2022: [doi]

Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation networkYang Lei 0002, Shadab Momin, Zhen Tian, Justin Roper, Jolinta Lin, Shannon Kahn, Hui-Kuo Shu, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. mibam 2022: [doi]

Fast 3D imaging via deep learning for deep inspiration breath-hold lung radiotherapyYang Lei 0002, Zhen Tian, Tonghe Wang, Marian Axente, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. miigp 2022: [doi]

Deep-learning-based markerless tumor localization using 2D KV/MV imageYang Lei 0002, Zhen Tian, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. miip 2022: [doi]

A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapyChih-Wei Chang, Yang Lei 0002, Tonghe Wang, Jun Zhou, Liyong Lin, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. miip 2022: [doi]

Using orthogonal 2D kV images for target localization via central matching networksChih-Wei Chang, Yang Lei 0002, Tonghe Wang, Liyong Lin, Jun Zhou, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. miigp 2022: [doi]

Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapyXianjin Dai, Yang Lei 0002, Tonghe Wang, Zhen Tian, Jun Zhou, Mark McDonald, David S. Yu, Beth B. Ghavidel, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. miigp 2022: [doi]

Deep learning based volume-to-slice MRI registration via intentional overfittingYabo Fu, Yang Lei 0002, Tonghe Wang, Marian Axente, Justin Roper, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. miigp 2022: [doi]

CT-based volumetric strain imaging via a deep learning registration frameworkYabo Fu, Yang Lei 0002, Tonghe Wang, Justin Roper, Marian Axente, Jeffrey D. Bradley, Tian Liu 0004, Kristin Higgins, Xiaofeng Yang 0005. mibam 2022: [doi]

Deformable histopathology-MRI image registration using deep learningYabo Fu, Yang Lei 0002, David M. Schuster, Sagar A. Patel, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. midp 2022: [doi]

Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapyYabo Fu, Yang Lei 0002, Zhen Tian, Tonghe Wang, Xianjin Dai, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. micad 2022: [doi]

Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distributionShadab Momin, Yang Lei 0002, Jiahan Zhang, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu 0004, Xiaofeng Yang 0005. miigp 2022: [doi]

Male pelvic multi-organ segmentation using V-transformer networkShaoyan Pan, Yang Lei 0002, Tonghe Wang, Jacob F. Wynne, Justin Roper, Ashesh B. Jani, Pretesh Patel, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. mibam 2022: [doi]

CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentationShaoyan Pan, Zhen Tian, Yang Lei 0002, Tonghe Wang, Jun Zhou, Mark McDonald, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. micad 2022: [doi]

CBCT lung multi-OAR segmentation via hierarchical networkRichard L. J. Qiu, Yang Lei 0002, Joseph Shelton, Kristin Higgins, Jeffrey D. Bradley, Tian Liu 0004, Aparna H. Kesarwala, Xiaofeng Yang 0005. mibam 2022: [doi]

Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PETTonghe Wang, Yang Lei 0002, Eduard Schreibmann, Justin Roper, David M. Schuster, Jeffrey D. Bradley, Tian Liu 0004, Ashesh B. Jani, Xiaofeng Yang 0005. mibam 2022: [doi]

Review of Machine Learning in Lung Ultrasound in COVID-19 PandemicJing Wang, Xiaofeng Yang 0005, Boran Zhou, James J. Sohn, Jun Zhou, Jesse T. Jacob, Kristin Higgins, Jeffrey D. Bradley, Tian Liu 0004. jimaging, 8(3):65, 2022. [doi]

Iterative material decomposition with gradient L0-norm minimization for dual-energy CTQian Wang, Huiqiao Xie, Tonghe Wang, Justin Roper, Xiangyang Tang, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. miip 2022: [doi]

High-resolution MR imaging using self-supervised parallel networkHuiqiao Xie, Yang Lei 0002, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Tian Liu 0004, Hui Mao, Xiaofeng Yang 0005. micad 2022: [doi]

Deep learning-based contrast-enhanced MRI using cascade networks with local supervisionHuiqiao Xie, Yang Lei 0002, Tonghe Wang, Marian Axente, Justin Roper, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. mibam 2022: [doi]

2021

Deep learning-based 3D image generation using a single 2D projection imageYang Lei 0002, Zhen Tian, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu 0004, Xiaofeng Yang 0005. miip 2021: [doi]

Mask R-CNN-based tumor localization and segmentation in 4D Lung CTYang Lei 0002, Zhen Tian, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu 0004, Xiaofeng Yang 0005. mibam 2021: [doi]

Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matchingRichard L. J. Qiu, Yang Lei 0002, Aparna H. Kesarwala, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu 0004, Xiaofeng Yang 0005. miip 2021: [doi]

4D cone-beam CT deformable registration using unsupervised spatial transformation networkTonghe Wang, Yang Lei 0002, Zhen Tian, Matt Giles, Jeffrey D. Bradley, Walter J. Curran, Tian Liu 0004, Xiaofeng Yang 0005. mibam 2021: [doi]

2020

An unsupervised deep learning approach for 4DCT lung deformable image registrationYabo Fu, Yang Lei 0002, Tonghe Wang, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang. miip 2020: [doi]

2010

Predicting Local Failure in Lung Cancer Using Bayesian NetworksJung Hun Oh, Jeffrey Craft, Rawan Al-Lozi, Manushka Vaidya, Yifan Meng, Joseph O. Deasy, Jeffrey D. Bradley, Issam El-Naqa. icmla 2010: 735-739 [doi]

2008

Nonlinear Kernel-Based Approaches for Predicting Normal Tissue ToxicitiesIssam El-Naqa, Jeffrey D. Bradley, Joseph Deasy. icmla 2008: 539-544 [doi]

Current role of PET in oncology: Potentials and challenges in the management of non-small cell lung cancerPhaneendra K. Yalavarthy, Daniel A. Low, Camille Noel, ZhouPing Wei, Deshan Yang, Aditya P. Apte, Jeffrey D. Bradley, Joseph Deasy, Issam El-Naqa. acssc 2008: 1067-1071 [doi]

2006

Compensation of breathing motion artifacts in thoracic PET images by wavelet-based deconvolutionIssam El-Naqa, Daniel A. Low, Jeffrey D. Bradley, Milos Vicic, Joseph Deasy. isbi 2006: 980-983 [doi]

Modeling lung motion using consistent image registration in four-dimensional computed tomography for radiation therapyWei Lu, Joo Hyun Song, Gary E. Christensen, Parag J. Parikh, Jeffrey D. Bradley, Daniel A. Low. miip 2006: [doi]

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