3 citations · 6 across the 4 of their papers we have counts for
4 papers
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI
Guanghui Fu, Gabriel Jimenez, Sophie Loizillon +9
Early and accurate diagnosis of parkinsonian syndromes is critical to provide appropriate care to patients and for inclusion in therapeutic trials. The red nucleus is a structure o…
Reproducibility in machine learning for medical imaging
Olivier Colliot, Elina Thibeau-Sutre, Ninon Burgos
Reproducibility is a cornerstone of science, as the replication of findings is the process through which they become knowledge. It is widely considered that many fields of science…
Interpretability of Machine Learning Methods Applied to Neuroimaging
Elina Thibeau-Sutre, Sasha Collin, Ninon Burgos +1
Deep learning methods have become very popular for the processing of natural images, and were then successfully adapted to the neuroimaging field. As these methods are non-transpar…
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse
Simona Bottani, Ninon Burgos, Aurélien Maire +4
Many studies on machine learning (ML) for computer-aided diagnosis have so far been mostly restricted to high-quality research data. Clinical data warehouses, gathering routine exa…