19 citations · 20 across the 4 of their papers we have counts for
7 papers
Toward Semantic-Agnostic and Shape-Aware Vision-Language Segmentation Models
Corentin Seutin, Mohamed Amine Ettaki, Michaël Clément +2
Vision-language segmentation models have recently achieved strong performance by leveraging high-level semantic object categories expressed in natural language. However, this seman…
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…
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…
Multi-Scale Superpatch Matching using Dual Superpixel Descriptors
Rémi Giraud, Merlin Boyer, Michaël Clément
Over-segmentation into superpixels is a very effective dimensionality reduction strategy, enabling fast dense image processing. The main issue of this approach is the inherent irre…
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Pierrick Coupé, Boris Mansencal, Michaël Clément +5
Whole brain segmentation using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images.…