2 citations · 2 across the 1 of their papers we have counts for
3 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…