19 citations · 26 across the 8 of their papers we have counts for
9 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…
DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI
Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea +7
This paper introduces a novel multimodal and high-resolution human brain cerebellum lobule segmentation method. Unlike current tools that operate at standard resolution ($1 \text{…
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI
Marina Ruiz-Perez, Sergio Morell-Ortega, Marien Gadea +7
The implication of the thalamus in multiple neurological pathologies makes it a structure of interest for volumetric analysis. In the present work, we have designed and implemented…
3D Transformer based on deformable patch location for differential diagnosis between Alzheimer's disease and Frontotemporal dementia
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal +1
Alzheimer's disease and Frontotemporal dementia are common types of neurodegenerative disorders that present overlapping clinical symptoms, making their differential diagnosis very…
Brain Structure Ages -- A new biomarker for multi-disease classification
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal +1
Age is an important variable to describe the expected brain's anatomy status across the normal aging trajectory. The deviation from that normative aging trajectory may provide some…
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…