David S. Yu

According to our database, David S. Yu authored at least 12 papers between 2019 and 2025.

Collaborative distances:

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

2025

Generalizable 7T T1-map Synthesis from 1.5T and 3T T1 MRI with an Efficient Transformer Model.

Zach Eidex, Mojtaba Safari, Tonghe Wang, Vanessa Wildman, David S. Yu, Hui Mao, Erik H. Middlebrooks, Aparna Kesewala, Xiaofeng Yang

CoRR, July, 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

CoRR, June, 2025

Towards Universal Text-driven CT Image Segmentation.

Yuheng Li, Yuxiang Lai, Maria Thor, Deborah Marshall, Zachary Buchwald, David S. Yu, Xiaofeng Yang

CoRR, March, 2025

MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting.

Mojtaba Safari, Shansong Wang, Zach Eidex, Qiang Li, Erik H. Middlebrooks, David S. Yu, Xiaofeng Yang

CoRR, March, 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

CoRR, February, 2025

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

CoRR, February, 2025

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

CoRR, 2024

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

2022

Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy.

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

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

2020

Organ-at-Risk (OAR) segmentation in head and neck CT using U-RCNN.

Yang Lei, Joseph Harms, Xue Dong, Tonghe Wang, Xiangyang Tang, David S. Yu, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy.

Yabo Fu, Yang Lei, Jun Zhou, Tonghe Wang, David S. Yu, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019

Automatic multi-organ segmentation in thorax CT images using U-Net-GAN.

Yang Lei, Yingzi Liu, Xue Dong, Sibo Tian, Tonghe Wang, Xiaojun Jiang, Kristin Higgins, Jonathan J. Beitler, David S. Yu, Tian Liu, Walter J. Curran, Yi Fang, Xiaofeng Yang

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019