GLAPAL-H: Global, Local, and Parts Aware Learner for Hydrocephalus Infection Diagnosis in Low-Field MRI
GLAPAL-H highlights the potential of low-field MRI as a safer, low-cost alternative to CT imaging for pediatric hydrocephalus infection diagnosis and management. Practically, GLAPAL-H demonstrates robustness against quantity and quality of training imagery, enhancing its deployability.
Authors
- Vishal Monga (ORCID: https://orcid.org/0000-0002-5100-2263)
- Steven J. Schiff (ORCID: https://orcid.org/0000-0003-2623-3614)
- Jason Sutin (ORCID: https://orcid.org/0000-0002-9492-3978)
- I‐Ching Lin (ORCID: https://orcid.org/0000-0002-1418-4977)
- Mallory Peterson (ORCID: https://orcid.org/0000-0001-5734-9260)
- Mingzhao Yu
- Starlin Tindimwebwa
- Kelsey Templeton
- Chip Truwit
- S Mukherjee (ORCID: https://orcid.org/0000-0003-0862-0848)
Institutions
- Pennsylvania State University (US)
- Harvard University Press (US)
- Yale University (US)
- Hyper Tech Research (United States) (US)
- CURE Children’s Hospital of Uganda (UG)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-06-09
- DOI
- https://doi.org/10.1109/tbme.2025.3578541
- Primary Topic
- Cerebrospinal fluid and hydrocephalus
- Type
- article
- Field-Weighted Citation Impact
- 0.00