Thomas Sanford

According to our database, Thomas Sanford authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

2023

Shape description losses for medical image segmentation.

Xi Fang, Xuanang Xu, James J. Xia, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan

Mach. Vis. Appl., July, 2023

Distance map supervised landmark localization for MR-TRUS registration.

Xinrui Song, Xuanang Xu, Sheng Xu, Baris Turkbey, Thomas Sanford, Bradford J. Wood, Pingkun Yan

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation.

Xuanang Xu, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan

IEEE Trans. Medical Imaging, 2022

Polar transform network for prostate ultrasound segmentation with uncertainty estimation.

Xuanang Xu, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan

Medical Image Anal., 2022

Cross-modal attention for multi-modal image registration.

Xinrui Song, Hanqing Chao, Xuanang Xu, Hengtao Guo, Sheng Xu, Baris Turkbey, Bradford J. Wood, Thomas Sanford, Ge Wang, Pingkun Yan

Medical Image Anal., 2022

2021

Multi-Domain Image Completion for Random Missing Input Data.

Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu

IEEE Trans. Medical Imaging, 2021

Federated learning improves site performance in multicenter deep learning without data sharing.

Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford, Holger R. Roth, Ziyue Xu, Jesse Tetreault, Daguang Xu, Mona G. Flores, Alex G. Raman, Rushikesh Kulkarni, Bradford J. Wood, Peter L. Choyke, Alan Priester, Leonard S. Marks, Steven S. Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W. Arnold

J. Am. Medical Informatics Assoc., 2021

2020

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.

Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu

IEEE Trans. Medical Imaging, 2020

Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation.

Xi Fang, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation.

Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu

CoRR, 2019