BACKGROUND
Multi-sequence MRI protocols for glioma classification are resource-intensive, prompting the need to identify optimal, potentially reduced imaging protocols.
PURPOSE
To evaluate the diagnostic utility of individual MRI sequences (ASL, DWI, FLAIR, SWI, T1w, T2w) for classifying WHO CNS grade (II, III, IV),...
K. Amador, H. Kniep, J. Fiehler et al.· La Radiologia medica· 0 citations
MBI-apathy is associated with elevated plasma p-tau181 cross-sectionally and longitudinally, supporting MBI-apathy as a potential proxy marker of tau pathology for early AD detection.
Daniella Vellone, Rebeca Leon, Zahra Goodarzi et al.· Journal of Alzheimer's Disea...· 0 citations
This work presents an end-to-end deep learning framework for transforming raw clinical image volumes into de-identified, analysis-ready datasets without compromising downstream utility and automating de-identification and image reconstruction within a single workflow and disseminating large-scale medical imaging collec...
Adrienne Kline, A. Gaonkar, D. Pittman et al.· Journal of imaging informati...· 0 citations
The findings indicate that multimodal classifiers integrating complementary structural, microstructural, and functional imaging features result in a more comprehensive representation of brain features that strengthens model performance.
Garazi Casillas Martinez, Anthony J. Winder, K. Amador et al.· Frontiers in Psychiatry· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
