805 citations · 835 across the 4 of their papers we have counts for
4 papers
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
Ahmed Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo +4
eXplainable artificial intelligence (XAI) methods have emerged to convert the black box of machine learning (ML) models into a more digestible form. These methods help to communica…
Characterizing the contribution of dependent features in XAI methods
Ahmed Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh +3
Explainable Artificial Intelligence (XAI) provides tools to help understanding how the machine learning models work and reach a specific outcome. It helps to increase the interpret…
Explainable AI (XAI) in Biomedical Signal and Image Processing: Promises and Challenges
Guang Yang, Arvind Rao, Christine Fernandez-Maloigne +2
Artificial intelligence has become pervasive across disciplines and fields, and biomedical image and signal processing is no exception. The growing and widespread interest on the t…
NODDI-SH: a computational efficient NODDI extension for fODF estimation in diffusion MRI
Mauro Zucchelli, Maxime Descoteaux, Gloria Menegaz
Diffusion Magnetic Resonance Imaging (DMRI) is the only non-invasive imaging technique which is able to detect the principal directions of water diffusion as well as neurites densi…