output
20192025
most citedLearning With Context Feedback Loop for Robust Medical Image Segmentation

54 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.

collaborating institutions

3 papers

eess.IV2025★ 20 cited

Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate

Leonardo Geronzi, Antonio Martinez, Michel Rochette +13

Objective: ascending aortic aneurysm growth prediction is still challenging in clinics. In this study, we evaluate and compare the ability of local and global shape features to pre…

eess.IV2021★ 54 cited

Learning With Context Feedback Loop for Robust Medical Image Segmentation

Kibrom Berihu Girum, Gilles Créhange, Alain Lalande

Deep learning has successfully been leveraged for medical image segmentation. It employs convolutional neural networks (CNN) to learn distinctive image features from a defined pixe…

cs.CV2019★ 9 cited

Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks

Ezequiel de la Rosa, Désiré Sidibé, Thomas Decourselle +3

Significance: Late gadolinium enhanced magnetic resonance imaging (LGE-MRI) is the gold standard technique for myocardial viability assessment. Although the technique accurately re…