79 citations · 110 across the 11 of their papers we have counts for
5 papers · 1 filter
Deep Grading based on Collective Artificial Intelligence for AD Diagnosis and Prognosis
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal +1
Accurate diagnosis and prognosis of Alzheimer's disease are crucial to develop new therapies and reduce the associated costs. Recently, with the advances of convolutional neural ne…
Deep grading for MRI-based differential diagnosis of Alzheimer's disease and Frontotemporal dementia
Huy-Dung Nguyen, Michaël Clément, Vincent Planche +2
Alzheimer's disease and Frontotemporal dementia are common forms of neurodegenerative dementia. Behavioral alterations and cognitive impairments are found in the clinical courses o…
Longitudinal detection of new MS lesions using Deep Learning
Reda Abdellah Kamraoui, Boris Mansencal, José V Manjon +1
The detection of new multiple sclerosis (MS) lesions is an important marker of the evolution of the disease. The applicability of learning-based methods could automate this task ef…
Interpretable differential diagnosis for Alzheimer's disease and Frontotemporal dementia
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal +1
Alzheimer's disease and Frontotemporal dementia are two major types of dementia. Their accurate diagnosis and differentiation is crucial for determining specific intervention and t…
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal +1
Alzheimer's Disease is the most common cause of dementia. Accurate diagnosis and prognosis of this disease are essential to design an appropriate treatment plan, increasing the lif…