Add to ORKGInternational audienceMRI is central to the study of white matter lesions in multiple sclerosis (MS). To date, the distribution of MS lesions, as evaluated on FLAIR imaging, has not been linked to patients’ disability prediction. Based on an international data challenge with 1500 MS patients and ground truth 2-year Expanded Disability Status Scale (EDSS), we have proposed an adaptive machine learning framework to predict the clinical disability. Here, we report the encouraging finding that our algorithm predicts the 2-year EDSS score with an accuracy estimated to 81%, only based on a single initial FLAIR sequence, added to sex and gender information
Motor disability is a dominant and restricting symptom in multiple sclerosis, yet its neuroimaging c...
Multiple Sclerosis is a chronic inflammatory disease, affecting the Central Nervous System and leadi...
Multiple Sclerosis (MS) is a chronic disease that causes the disruption of the ability of the nervou...
International audienceMRI is central to the study of white matter lesions in multiple sclerosis (MS)...
International audienceThe purpose of this study was to create an algorithm that combines multiple ma...
BACKGROUND AND PURPOSE: Conventional MR imaging explains only a fraction of the clinical outcome var...
Objectives: To evaluate the accuracy of a data-driven approach, such as machine learning classificat...
Abstract PaperInternational audienceIntroduction: Multiple Sclerosis (MS) is an inflammatory, demyel...
Abstract The rate of disability accumulation varies across multiple sclerosis (MS) patients. Machine...
The rate of disability accumulation varies across multiple sclerosis (MS) patients. Machine learning...
OBJECTIVE:To explore the value of machine learning methods for predicting multiple sclerosis disease...
To explore the value of machine learning methods for predicting multiple sclerosis disease course.16...
Motor disability is a dominant and restricting symptom in multiple sclerosis, yet its neuroimaging c...
Multiple Sclerosis is a chronic inflammatory disease, affecting the Central Nervous System and leadi...
Multiple Sclerosis (MS) is a chronic disease that causes the disruption of the ability of the nervou...
International audienceMRI is central to the study of white matter lesions in multiple sclerosis (MS)...
International audienceThe purpose of this study was to create an algorithm that combines multiple ma...
BACKGROUND AND PURPOSE: Conventional MR imaging explains only a fraction of the clinical outcome var...
Objectives: To evaluate the accuracy of a data-driven approach, such as machine learning classificat...
Abstract PaperInternational audienceIntroduction: Multiple Sclerosis (MS) is an inflammatory, demyel...
Abstract The rate of disability accumulation varies across multiple sclerosis (MS) patients. Machine...
The rate of disability accumulation varies across multiple sclerosis (MS) patients. Machine learning...
OBJECTIVE:To explore the value of machine learning methods for predicting multiple sclerosis disease...
To explore the value of machine learning methods for predicting multiple sclerosis disease course.16...
Motor disability is a dominant and restricting symptom in multiple sclerosis, yet its neuroimaging c...
Multiple Sclerosis is a chronic inflammatory disease, affecting the Central Nervous System and leadi...
Multiple Sclerosis (MS) is a chronic disease that causes the disruption of the ability of the nervou...