Esther L Yuh (E Yuh, Esther Yuh, E L Yuh)

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Topics

Traumatic Brain Injury

Convolutional Neural Network

Computed Tomography

Top Venues

Radiology. Artificial intelligence

The British journal of radiology

AJNR. American journal of neuroradiology

Proceedings of the National Academy of Sciences of the United States of America

This page only lists publications with an associated author ORCID identifier.

Publications

Emily Lin, Esther L Yuh
Semi-supervised Learning for Generalizable Intracranial Hemorrhage Detection and Segmentation. Radiology. Artificial intelligence 6 (3) (2024)
Emily Lin, Esther L Yuh
Semisupervised Learning for Generalizable Intracranial Hemorrhage Detection and Segmentation. Radiology. Artificial intelligence (2024)
Mahmud Mossa-Basha, Jalal B Andre, Esther L Yuh, David Hunt, Nina LaPiana, Bradley Howlett, Chloe Krakauer, Paul Crane, Jennifer C Nelson, Margaret DeZelar, Kelly Meyers, Eric Stanley Larson, James Ralston, Christine L Mac Donald
Comparison of brain imaging and physical health between research and clinical neuroimaging cohorts of ageing. The British journal of radiology 97 (1155) (2024)
Mahmud Mossa-Basha, Jalal B Andre, Esther L Yuh, David Hunt, Nina LaPiana, Bradley Howlett, Chloe Krakauer, Paul Crane, Jennifer C Nelson, Margaret DeZelar, Kelly Meyers, Eric Stanley Larson, James Ralston, Christine L Mac Donald
Comparison of brain imaging and physical health between research and clinical neuroimaging cohorts of ageing. The British journal of radiology 97 (1155) (2024)
Mahmud Mossa-Basha, Jalal B Andre, Esther L Yuh, David Hunt, Nina LaPiana, Bradley Howlett, Chloe Krakauer, Paul Crane, Jennifer C Nelson, Margaret DeZelar, Kelly Meyers, Eric Stanley Larson, James Ralston, Christine L Mac Donald
Comparison of brain imaging and physical health between research and clinical neuroimaging cohorts of ageing. The British journal of radiology 97 (1155) (2024)
Emily Lin, Esther L Yuh
Semi-supervised Learning for Generalizable Intracranial Hemorrhage Detection and Segmentation. Radiology. Artificial intelligence 6 (3) (2024)
Emily Lin, Esther L Yuh
Semi-supervised Learning for Generalizable Intracranial Hemorrhage Detection and Segmentation. Radiology. Artificial intelligence 6 (3) (2024)
Matthew W Pease, Dooman Arefan, Jason Barber, Esther L Yuh, Ava M Puccio, Kerri Hochberger, Enyinna Nwachuku, Souvik Roy, Stephanie M Casillo, Nancy R Temkin, David O Okonkwo, Shandong Wu, null null
Outcome Prediction in Patients with Severe Traumatic Brain Injury Using Deep Learning from Head CT Scans. Radiology 304 (2) (2022)
Weicheng Kuo, Christian Hӓne, Pratik Mukherjee, Jitendra Malik, Esther L Yuh
Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning. Proceedings of the National Academy of Sciences of the United States of America 116 (45) (2019)
K K Devulapalli, Jason F Talbott, Jared Narvid, Alisa Gean, B Rehani, Geoffrey T Manley, A Uzelac, Esther L Yuh, Michael C Huang
Utility of Repeat Head CT in Patients with Blunt Traumatic Brain Injury Presenting with Small Isolated Falcine or Tentorial Subdural Hematomas. AJNR. American journal of neuroradiology 39 (4) (2018)
Vinil N Shah, N D von Fischer, C T Chin, Esther L Yuh, Matthew Robert Amans, William P Dillon, Christopher P Hess
Long-Term Effectiveness of Direct CT-Guided Aspiration and Fenestration of Symptomatic Lumbar Facet Synovial Cysts. AJNR. American journal of neuroradiology 39 (1) (2017)
E M Palacios, Alastair J Martin, Michael A Boss, F Ezekiel, Yi-Shin Chang, Esther L Yuh, Mary J Vassar, David M Schnyer, Christine L Mac Donald, Karen L Crawford, Andrei Irimia, A W Toga, Pratik Mukherjee, null null
Toward Precision and Reproducibility of Diffusion Tensor Imaging: A Multicenter Diffusion Phantom and Traveling Volunteer Study. AJNR. American journal of neuroradiology 38 (3) (2016)