Convolutional neural network using magnetic resonance brain imaging to predict outcome from tuberculosis meningitis
Imaging information can provide added value to predict unwanted outcomes of TBM. However, to confirm this finding, a larger dataset is needed.
Authors
- Reza Razavi (ORCID: https://orcid.org/0000-0003-1065-3008)
- Guy Edward Thwaites (ORCID: https://orcid.org/0000-0002-2858-2087)
- Marc Modat (ORCID: https://orcid.org/0000-0002-5277-8530)
- Liane S. Canas (ORCID: https://orcid.org/0000-0002-2553-1284)
- Nguyễn Thụy Thương Thương (ORCID: https://orcid.org/0000-0001-8733-692X)
- Joseph Donovan (ORCID: https://orcid.org/0000-0002-5893-336X)
- Dong Huu Khanh Trinh (ORCID: https://orcid.org/0000-0003-4281-4929)
- Sébastien Ourselin (ORCID: https://orcid.org/0000-0002-5694-5340)
- Daniel Beasley (ORCID: https://orcid.org/0000-0003-1433-9016)
- Nguyen Hoan Phu (ORCID: https://orcid.org/0009-0005-1324-9168)
- Nguyễn Thị Thanh Hà (ORCID: https://orcid.org/0000-0001-5084-0807)
Institutions
- Vietnam National University Ho Chi Minh City (VN)
- King's College London (GB)
- University of Oxford (GB)
- London School of Hygiene & Tropical Medicine (GB)
- Oxford University Clinical Research Unit (VN)
- Hospital for Tropical Diseases (VN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1371/journal.pone.0321655
- Citations
- 2
- Primary Topic
- Infectious Diseases and Tuberculosis
- Type
- article
- Field-Weighted Citation Impact
- 4.01
Funders
- Wellcome Trust
- Centre For Medical Engineering, King’s College London