Justin Roper

According to our database, Justin Roper authored at least 27 papers between 2021 and 2024.

Collaborative distances:

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

2024

Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration.

Yang Lei, Luke A. Matkovic, Justin Roper, Tonghe Wang, Jun Zhou, Beth B. Ghavidel, Mark McDonald, Pretesh Patel, Xiaofeng Yang

CoRR, 2024

2023

Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model.

Shaoyan Pan, Elham Abouei, Junbo Peng, Joshua Qian, Jacob F. Wynne, Tonghe Wang, Chih-Wei Chang, Justin Roper, Jonathon A. Nye, Hui Mao, Xiaofeng Yang

CoRR, 2023

Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model.

Shaoyan Pan, Elham Abouei, Jacob F. Wynne, Tonghe Wang, Richard L. J. Qiu, Yuheng Li, Chih-Wei Chang, Junbo Peng, Justin Roper, Pretesh Patel, David S. Yu, Hui Mao, Xiaofeng Yang

CoRR, 2023

Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI.

Yuheng Li, Jacob F. Wynne, Jing Wang, Richard L. J. Qiu, Justin Roper, Shaoyan Pan, Ashesh B. Jani, Tian Liu, Pretesh R. Patel, Hui Mao, Xiaofeng Yang

CoRR, 2023

Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis.

Shaoyan Pan, Chih-Wei Chang, Junbo Peng, Jiahan Zhang, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Tian Liu, Hui Mao, Xiaofeng Yang

CoRR, 2023

Multi-organ CT segmentation using shifted-window multilayer perceptron mixer.

Shaoyan Pan, Jacob F. Wynne, Mingzhe Hu, Tonghe Wang, Justin Roper, Pretesh Patel, Tian Liu, Xiaofeng Yang

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

Multi-structure segmentation on cardiac MRI using multilayer perceptron mixer network.

Shaoyan Pan, Chaoqiong Ma, Chih-Wei Chang, Jacob F. Wynne, Justin Roper, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

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

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

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

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, 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, 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

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

Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy.

Xianjin Dai, Yang Lei, James Janopaul-Naylor, Tonghe Wang, Justin Roper, Jun Zhou, Walter J. Curran, Tian Liu, Pretesh Patel, 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

Region proposal network for multi-organ segmentation in CT for pancreatic radiotherapy.

Xianjin Dai, Yang Lei, James Janopaul-Naylor, Tonghe Wang, Justin Roper, Tian Liu, Walter J. Curran, Pretesh Patel, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Residual mask scoring regional convolutional neural network for multi-organ segmentation in head-and-neck CT.

Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Justin Roper, Mark McDonald, Jonathan J. Beitler, 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