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20182023
most citedA Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

805 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing eess.IVShow all

2 papers · 1 filter

eess.IV2022

An AI tool for automated analysis of large-scale unstructured clinical cine CMR databases

Jorge Mariscal-Harana, Clint Asher, Vittoria Vergani +9

Artificial intelligence (AI) techniques have been proposed for automating analysis of short axis (SAX) cine cardiac magnetic resonance (CMR), but no CMR analysis tool exists to aut…

eess.IV2019★ 127 cited

Improving the generalizability of convolutional neural network-based segmentation on CMR images

Chen Chen, Wenjia Bai, Rhodri H. Davies +13

Convolutional neural network (CNN) based segmentation methods provide an efficient and automated way for clinicians to assess the structure and function of the heart in cardiac MR…