National Institute of Neurological Disorders and Stroke

Incidental Findings in Brain Imaging Research

Judy Illes, Matthew P. Kirschen, Emmeline Edwards et al.

2006 · 237 Zit.

Developing a data sharing community for spinal cord injury research

Alison Callahan, Kim D. Anderson, Michael S. Beattie et al.

2017 · 56 Zit.

A disease-specific language representation model for cerebrovascular disease research

Ching-Heng Lin, Kai‐Cheng Hsu, Chih‐Kuang Liang et al.

2021 · 22 Zit.

Enhancing neuro-oncology care through equity-driven applications of artificial intelligence

Mulki Mehari, Youssef Sibih, Abraham Dada et al.

2024 · 9 Zit.

Automatic comprehensive radiological reports for clinical acute stroke MRIs

Chin-Fu Liu, Yi Zhao, Vivek Yedavalli et al.

2023 · 8 Zit.

A Common Data Language for Clinical Research Studies: The National Institute of Neurological Disorders and Stroke and National Library of Medicine Cerebral Aneurysms and Subarachnoid Hemorrhage Common Data Elements Version 1.0 Recommendations (P3.169)

Muniza Sheikh, Sherita Alai, Joy Esterlitz et al.

2017 · 0 Zit.

Abstract TP419: A Common Data Language for Clinical Research Studies: The National Institute of Neurological Disorders and Stroke and National Library of Medicine Cerebral Aneurysms and Subarachnoid Hemorrhage Common Data Elements Version 1.0 Recommendations

Joanne Odenkirchen, Liz Amos, Christophe Ludet et al.

2017 · 0 Zit.

Abstract WP256: High Rate of Subject Retention into Prehospital Stroke Research with Telephone-based Physician-investigator Driven Enrollment

Bryant J. Rosell, Jeffrey L. Saver, David S. Liebeskind et al.

2017 · 0 Zit.

Monitoring morphometric drift in lifelong learning segmentation of the spinal cord.

Enamundram Naga Karthik, Sandrine Bédard, Jan Valošek et al.

2025 · 0 Zit.