Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review. - Mingquan Lin; Jacob F. Wynne; Yang Lei 002; Tonghe Wang; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (CoRR, 2021)

Male pelvic multi-organ segmentation using V-transformer network. - Shaoyan Pan; Yang Lei 002; Tonghe Wang; Jacob F. Wynne; Justin Roper; Ashesh B. Jani; Pretesh Patel; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory. - Yupei Zhang; Xianjin Dai; Zhen Tian; Yang Lei 002; Jacob F. Wynne; Pretesh Patel; Yue Chen; Tian Liu 004; Xiaofeng Yang 005 (CoRR, 2022)

Quantification of radiation damage for proton craniospinal irradiation using magnetic resonance imaging. - Chih-Wei Chang; Matt Goette; Nadja Kadom; Yinan Wang; Jacob F. Wynne; Tonghe Wang; Tian Liu 004; Natia Esiashvili; Jun Zhou 025; Bree R. Eaton; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 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 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

A vision-GNN framework for retinopathy classification using optical coherence tomography. - Mingzhe Hu; Jing Wang 118; Jacob F. Wynne; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 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 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2023)

Deep learning-based multi-organ CT segmentation with adversarial data augmentation. - Shaoyan Pan; Shao-Yuan Lo; Min Huang; Chaoqiong Ma; Jacob F. Wynne; Tonghe Wang; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 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 118; Richard L. J. Qiu; Justin Roper; Shaoyan Pan; Ashesh B. Jani; Tian Liu 004; Pretesh R. Patel; Hui Mao; Xiaofeng Yang 005 (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; et al. (CoRR, 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 005 (CoRR, 2023)

Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas. - Zach Eidex; Mojtaba Safari; Jacob F. Wynne; Richard L. J. Qiu; Tonghe Wang; David Viar Hernandez; Hui-Kuo Shu; Hui Mao; Xiaofeng Yang 005 (CoRR, 2024)