Esther L. Yuh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 6

Top Topics

Interprocess Communication

Cost Sensitive Active Learning

Top Venues

Neuroinformatics

Publications

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
MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline. Neuroinformatics 22 (2) (2024)
Emily Lin, Weicheng Kuo, Esther L. Yuh
Noisy Student learning for cross-institution brain hemorrhage detection. CoRR (2021)
Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection. MICCAI (3) (2018)
Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik
PatchFCN for Intracranial Hemorrhage Detection. CoRR (2018)
Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection. CoRR (2018)
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
Genetic Data Sharing and Privacy. Neuroinformatics 13 (1) (2015)