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View article: Latent Representation Learning from 3D Brain MRI for Interpretable Prediction in Multiple Sclerosis
Latent Representation Learning from 3D Brain MRI for Interpretable Prediction in Multiple Sclerosis Open
We present InfoVAE-Med3D, a latent-representation learning approach for 3D brain MRI that targets interpretable biomarkers of cognitive decline. Standard statistical models and shallow machine learning often lack power, while most deep lea…
View article: A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study
A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study Open
Background Cognitive deterioration is common in multiple sclerosis (MS) and requires regular follow-up. Currently, cognitive status is measured in clinical practice using paper-and-pencil tests, which are both time-consuming and costly. Re…
View article: icognition: a smartphone-based cognitive screening battery
icognition: a smartphone-based cognitive screening battery Open
Background Telemedicine is feasible and well-accepted by people with multiple sclerosis (MS). Objective The aim of this study is to validate a smartphone-based cognitive screening battery, ico gnition , to faster signal cognitive deteriora…
View article: The Finger Dexterity Test: validation study of a smartphone-based manual dexterity assessment
The Finger Dexterity Test: validation study of a smartphone-based manual dexterity assessment Open
Background The Nine-Hole Peg Test (9HPT) is the golden standard in clinical practice to measure manual dexterity in people with multiple sclerosis (MS). However, administration requires trained personnel and dedicated time during a clinica…
View article: Real-world federated learning for the brain imaging scientist
Real-world federated learning for the brain imaging scientist Open
Background Federated learning (FL) could boost deep learning in neuroimaging but is rarely deployed in a real-world scenario, where its true potential lies. Here, we propose FLightcase, a new FL toolbox tailored for brain research. We test…
View article: Trunk training following stroke
Trunk training following stroke Open
There is evidence to suggest that trunk training as part of rehabilitation improves ADL, trunk function, standing balance, walking ability, upper and lower limb function, and quality of life in people after stroke. Core-stability, selectiv…
View article: Brain age as a surrogate marker for information processing speed in multiple sclerosis
Brain age as a surrogate marker for information processing speed in multiple sclerosis Open
Background Data from neuro-imaging techniques allow us to estimate a brain’s age. Brain age is easily interpretable as “how old the brain looks”, and could therefore be an attractive communication tool for brain health in clinical practice…
View article: Interventions for Preventing Falls in People After Stroke
Interventions for Preventing Falls in People After Stroke Open
Contains fulltext : 218689.pdf (Publisher’s version ) (Open Access)
View article: Interventions for preventing falls in people after stroke
Interventions for preventing falls in people after stroke Open
Background\nFalls are one of the most common complications after stroke, with a reported incidence ranging between 7% in the first week and 73% in\nthe first year post stroke. This is an updated version of the original Cochrane Review publ…