[HTML][HTML] Bridging the gap: improving correspondence between low-field and high-field magnetic resonance images in young people
R Cooper, RA Hayes, M Corcoran, KN Sheth… - Frontiers in …, 2024 - frontiersin.org
Background Portable low-field-strength magnetic resonance imaging (MRI) systems
represent a promising alternative to traditional high-field-strength systems with the potential …
represent a promising alternative to traditional high-field-strength systems with the potential …
[HTML][HTML] UNITY: A low-field magnetic resonance neuroimaging initiative to characterize neurodevelopment in low and middle-income settings
F Abate, A Adu-Amankwah, KA Ae-Ngibise… - Developmental …, 2024 - Elsevier
Measures of physical growth, such as weight and height have long been the predominant
outcomes for monitoring child health and evaluating interventional outcomes in public health …
outcomes for monitoring child health and evaluating interventional outcomes in public health …
[HTML][HTML] Prediction of malaria positivity using patients' demographic and environmental features and clinical symptoms to complement parasitological confirmation …
Background Current malaria diagnosis methods that rely on microscopy and Histidine Rich
Protein-2 (HRP2)-based rapid diagnostic tests (RDT) have drawbacks that necessitate the …
Protein-2 (HRP2)-based rapid diagnostic tests (RDT) have drawbacks that necessitate the …
MRI-Based Brain Volume Scoring in Cerebral Malaria Is Externally Valid and Applicable to Lower-Resolution Images
MS Goyal, L Vidal, K Chetcuti… - American Journal …, 2024 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Children with cerebral malaria have an elevated risk of
mortality and neurologic morbidity. Both mortality and morbidity are associated with initially …
mortality and neurologic morbidity. Both mortality and morbidity are associated with initially …
Statistical and Machine Learning Methods for Neuroimaging and Neurocognitive Data
D Tu - 2023 - search.proquest.com
Motivated by scientific questions about the brain, this dissertation focuses on the
development of statistical and machine learning methods for complex, multi-modal, and high …
development of statistical and machine learning methods for complex, multi-modal, and high …
Approaches for Image Reconstruction in Low-Field Magnetic Resonance Imaging
J Obungoloch - 2021 - ir.must.ac.ug
Background: Magnetic Resonance Imaging (MRI) and spectroscopic techniques are
frequently employed for clinical diagnostics as well as basic research in areas like cognitive …
frequently employed for clinical diagnostics as well as basic research in areas like cognitive …
[HTML][HTML] Code Documentation for 'Automated Analysis of Low-Field Brain MRI in Cerebral Malaria'
C Documentation, D Tu - danni-tu.github.io
This document contains the analyses from the paper titled “Automated Analysis of Low-Field
Brain MRI in Cerebral Malaria”(Tu et al. 2020)(bioRxiv link). The goal of this paper is to …
Brain MRI in Cerebral Malaria”(Tu et al. 2020)(bioRxiv link). The goal of this paper is to …