Deep Learning in Multi-organ Segmentation. - Yang Lei 002; Yabo Fu; Tonghe Wang; Richard L. J. Qiu; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (CoRR, 2020)

Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching. - Richard L. J. Qiu; Yang Lei 002; Aparna H. Kesarwala; Kristin Higgins; Jeffrey D. Bradley; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2021)

CBCT lung multi-OAR segmentation via hierarchical network. - Richard L. J. Qiu; Yang Lei 002; Joseph Shelton; Kristin Higgins; Jeffrey D. Bradley; Tian Liu 004; Aparna H. Kesarwala; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Deep-learning-based markerless tumor localization using 2D KV/MV image. - Yang Lei 002; Zhen Tian; Richard L. J. Qiu; Tonghe Wang; Justin Roper; Kristin Higgins; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Image Processing, 2022)

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 004; Hui Mao; Xiaofeng Yang 005 (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 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)

Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography. - Xuxin Chen; Yuheng Li; Mingzhe Hu; Ella Salari; Xiaoqian Chen; Richard L. J. Qiu; Bin Zheng; Xiaofeng Yang (CoRR, 2024)

Adaptive Self-Supervised Consistency-Guided Diffusion Model for Accelerated MRI Reconstruction. - Mojtaba Safari; Zach Eidex; Shaoyan Pan; Richard L. J. Qiu; Xiaofeng Yang 005 (CoRR, 2024)

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)

T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning. - Zach Eidex; Mojtaba Safari; Richard L. J. Qiu; David S. Yu; Hui-Kuo Shu; Hui Mao; Xiaofeng Yang 005 (CoRR, 2024)

A Physics-Informed Deep Learning Model for MRI Brain Motion Correction. - Mojtaba Safari; Shansong Wang; Zach Eidex; Richard L. J. Qiu; Chih-Wei Chang; David S. Yu; Xiaofeng Yang 005 (CoRR, 2025)

Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging. - Shansong Wang; Mojtaba Safari; Qiang Li; Chih-Wei Chang; Richard L. J. Qiu; Justin Roper; David S. Yu; Xiaofeng Yang 005 (CoRR, 2025)

RoMedFormer: A Rotary-Embedding Transformer Foundation Model for 3D Genito-Pelvic Structure Segmentation in MRI and CT. - Yuheng Li; Mingzhe Hu; Richard L. J. Qiu; Maria Thor; Andre Williams; Deborah Marshall; Xiaofeng Yang (CoRR, 2025)

MRI motion correction via efficient residual-guided denoising diffusion probabilistic models. - Mojtaba Safari; Shansong Wang; Qiang Li; Zach Eidex; Richard L. J. Qiu; Chih-Wei Chang; Hui Mao; Xiaofeng Yang 005 (CoRR, 2025)

Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation. - Shansong Wang; Zhecheng Jin; Mingzhe Hu; Mojtaba Safari; Feng Zhao; Chih-Wei Chang; Richard L. J. Qiu; Justin Roper; David S. Yu; Xiaofeng Yang 005 (CoRR, 2025)

DINOv3 with Test-Time Training for Medical Image Registration. - Shansong Wang; Mojtaba Safari; Mingzhe Hu; Qiang Li; Chih-Wei Chang; Richard L. J. Qiu; Xiaofeng Yang 005 (CoRR, 2025)

Advancing MRI reconstruction: A systematic review of deep learning and compressed sensing integration. - Mojtaba Safari; Zach Eidex; Chih-Wei Chang; Richard L. J. Qiu; Xiaofeng Yang 005 (Biomed. Signal Process. Control., 2026)