Bryan Yoo

According to our database, Bryan Yoo authored at least 5 papers between 2021 and 2022.

Collaborative distances:

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

2022

Ensembling mitigates scanner effects in deep learning medical image segmentation with deep-U-Nets.

Anshul Ratnaparkhi, Bilwaj Gaonkar, David Zarrin, Ien Li, Kirstin Cook, Azim Laiwalla, Bayard Wilson, Mark Attiah, Christine S. Ahn, Diane Villaroman, Bryan Yoo, Banafsheh Salehi, Joel Beckett, Luke Macyszyn

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation.

Bilwaj Gaonkar, Joel Beckett, Mark Attiah, Christine S. Ahn, Matthew Edwards, Bayard Wilson, Azim Laiwalla, Banafsheh Salehi, Bryan Yoo, Alex A. T. Bui, Luke Macyszyn

Medical Image Anal., 2021

Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time.

Haoyue Zhang, Jennifer S. Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El-Saden, Fabien Scalzo, William Speier, Corey W. Arnold

Comput. Medical Imaging Graph., 2021

A Semi-Supervised Learning Framework to Leverage Proxy Information for Stroke MRI Analysis.

Jennifer Polson, Haoyue Zhang, Kambiz Nael, Noriko Salamon, Bryan Yoo, Namkug Kim, Dong-Wha Kang, William Speier, Corey W. Arnold

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Machine Learning Approach to Predict Acute Ischemic Stroke Thrombectomy Reperfusion using Discriminative MR Image Features.

Haoyue Zhang, Jennifer Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, William Speier, Corey W. Arnold

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021