Machine learning for refining interpretation of magnetic resonance imaging scans in the management of multiple sclerosis: a narrative review
AC Szekely-Kohn, M Castellani… - Royal Society …, 2025 - royalsocietypublishing.org
Multiple sclerosis (MS) is an autoimmune disease of the brain and spinal cord with both
inflammatory and neurodegenerative features. Although advances in imaging techniques …
inflammatory and neurodegenerative features. Although advances in imaging techniques …
New multiple sclerosis lesion segmentation and detection using pre-activation U-Net
Automated segmentation of new multiple sclerosis (MS) lesions in 3D MRI data is an
essential prerequisite for monitoring and quantifying MS progression. Manual delineation of …
essential prerequisite for monitoring and quantifying MS progression. Manual delineation of …
Deep attention v-net architecture for enhanced multiple sclerosis segmentation
VP Nasheeda, V Rajangam - IEEE Access, 2024 - ieeexplore.ieee.org
The central nervous system is affected by multiple sclerosis (MS) which destroys the
neurocommunication. Among the diagnostic imaging systems, magnetic resonance imaging …
neurocommunication. Among the diagnostic imaging systems, magnetic resonance imaging …
Image registration and appearance adaptation in non-correspondent image regions for new ms lesions detection
Manual detection of newly formed lesions in multiple sclerosis is an important but tedious
and difficult task. Several approaches for automating the detection of new lesions have …
and difficult task. Several approaches for automating the detection of new lesions have …
Multiclass lesion detection using longitudinal MRI in multiple sclerosis
A Elkoroaristizabal, F Vivó, A Calvi… - Artificial Intelligence …, 2024 - ebooks.iospress.nl
Accurate detection of white matter (WM) lesions is essential for diagnosing and monitoring
Multiple Sclerosis (MS), but manual lesion identification is challenging and time-consuming …
Multiple Sclerosis (MS), but manual lesion identification is challenging and time-consuming …
Brain Lesion Segmentation and Detection on Multi-parametric MRI Data: Marrying Deep Learning with Low-rank Factorization
P Ashtari - 2023 - lirias.kuleuven.be
Brain lesion segmentation plays a crucial role in clinical neuroimaging, aiding in diagnosis,
treatment planning, disease monitoring, and research. Accurate identification of lesion …
treatment planning, disease monitoring, and research. Accurate identification of lesion …
Segmentation et détection de lésions cérébrales combinant apprentissage profond et factorisation à partir d'IRM multi-paramétriques
P Ashtari - 2023 - theses.hal.science
La segmentation des lésions cérébrales est essentielle en neuroimagerie clinique, facilitant
le diagnostic, la planification du traitement et la recherche. Cette thèse explore le …
le diagnostic, la planification du traitement et la recherche. Cette thèse explore le …