Esther L. Yuh

According to our database, Esther L. Yuh authored at least 5 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline.

Lanya T. Cai, Joseph Y. Moon, Paul B. Camacho, Aaron T. Anderson, Won Jong Chwa, Bradley P. Sutton, Amy J. Markowitz, Eva M. Palacios, Alexis A. Rodriguez, Geoffrey T. Manley, Shivsundaram Shankar, Peer-Timo Bremer, Pratik Mukherjee, Ravi K. Madduri, Shankar Gopinath, Ramesh Grandhi, C. Dirk Keene, Michael A. McCrea, Randall Merchant, Laura B. Ngwenya, Ava M. Puccio, David Schnyer, Sabrina R. Taylor, John K. Yue, Esther L. Yuh, Ross Zafonte

Neuroinformatics, April, 2024

2021

Noisy Student learning for cross-institution brain hemorrhage detection.

Emily Lin, Weicheng Kuo, Esther L. Yuh

CoRR, 2021

2018

PatchFCN for Intracranial Hemorrhage Detection.

Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik

CoRR, 2018

Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection.

Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2015

Genetic Data Sharing and Privacy.

Marco Sorani, John K. Yue, Sourabh Sharma, Geoffrey T. Manley, Adam R. Ferguson, Shelly R. Cooper, Kristen Dams-O'Connor, Wayne A. Gordon, Hester F. Lingsma, Andrew I. R. Maas, David K. Menon, Diane Morabito, Pratik Mukherjee, David O. Okonkwo, Ava M. Puccio, Alex B. Valadka, Esther L. Yuh

Neuroinformatics, 2015