Feature selection from magnetic resonance imaging data in ALS: a systematic review

TD Kocar, HP Müller, AC Ludolph… - … advances in chronic …, 2021 - journals.sagepub.com
Background: With the advances in neuroimaging in amyotrophic lateral sclerosis (ALS), it
has been speculated that multiparametric magnetic resonance imaging (MRI) is capable to …

[HTML][HTML] Machine learning-based radiomics for amyotrophic lateral sclerosis diagnosis

B Tafuri, G Milella, M Filardi, A Giugno… - Expert Systems with …, 2024 - Elsevier
Timely diagnosis and accurate phenotyping of amyotrophic lateral sclerosis (ALS) is of
paramount importance for the clinical management of patients. Magnetic Resonance …

[HTML][HTML] Quantitative brain MRI metrics distinguish four different ALS phenotypes: a machine learning based study

V Rajagopalan, KG Chaitanya, EP Pioro - Diagnostics, 2023 - mdpi.com
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease whose diagnosis
depends on the presence of combined lower motor neuron (LMN) and upper motor neuron …

[HTML][HTML] Multiparametric microstructural MRI and machine learning classification yields high diagnostic accuracy in amyotrophic lateral sclerosis: proof of concept

TD Kocar, A Behler, AC Ludolph, HP Müller… - Frontiers in …, 2021 - frontiersin.org
The potential of multiparametric quantitative neuroimaging has been extensively discussed
as a diagnostic tool in amyotrophic lateral sclerosis (ALS). In the past, the integration of …

[HTML][HTML] Development of an automated MRI-based diagnostic protocol for amyotrophic lateral sclerosis using disease-specific pathognomonic features: a quantitative …

C Schuster, O Hardiman, P Bede - PLoS One, 2016 - journals.plos.org
Background Despite significant advances in quantitative neuroimaging, the diagnosis of
ALS remains clinical and MRI-based biomarkers are not currently used to aid the diagnosis …

[HTML][HTML] Machine learning in amyotrophic lateral sclerosis: achievements, pitfalls, and future directions

V Grollemund, PF Pradat, G Querin, F Delbot… - Frontiers in …, 2019 - frontiersin.org
Background: Amyotrophic Lateral Sclerosis (ALS) is a relentlessly progressive
neurodegenerative condition with limited therapeutic options at present. Survival from …

[HTML][HTML] The value of magnetic resonance imaging as a biomarker for amyotrophic lateral sclerosis: a systematic review

G Grolez, C Moreau, V Danel-Brunaud, C Delmaire… - BMC neurology, 2016 - Springer
Background Amyotrophic lateral sclerosis (ALS) is a fatal, rapidly progressive
neurodegenerative disease that mainly affects the motor system. A number of potentially …

The selective anatomical vulnerability of ALS:'disease-defining'and 'disease-defying'brain regions

P Bede, PM Iyer, C Schuster, M Elamin… - … lateral sclerosis and …, 2016 - Taylor & Francis
A large multiparametric MRI study has been undertaken to evaluate anatomical patterns of
basal ganglia, white matter and cortical grey matter involvement in ALS. Unaffected brain …

[HTML][HTML] Unbiased MRI analyses identify micropathologic differences between upper motor neuron-predominant ALS phenotypes

V Rajagopalan, EP Pioro - Frontiers in Neuroscience, 2019 - frontiersin.org
Amyotrophic lateral sclerosis (ALS) is an incurable and progressively fatal
neurodegenerative disease that manifests with distinct clinical phenotypes, which are seen …

[HTML][HTML] Machine learning solutions applied to amyotrophic lateral sclerosis prognosis: A review

F Papaiz, MET Dourado Jr, RAM Valentim… - Frontiers in Computer …, 2022 - frontiersin.org
The prognosis of Amyotrophic Lateral Sclerosis (ALS), a complex and rare disease,
represents a challenging and essential task to better comprehend its progression and …