output
20122026
most citedStandardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

309 citations

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cs.CV2025★ 1 cited

Found in Translation: semantic approaches for enhancing AI interpretability in face verification

Miriam Doh, Caroline Mazini Rodrigues, N. Boutry +3

The increasing complexity of machine learning models in computer vision, particularly in face verification, requires the development of explainable artificial intelligence (XAI) to…

cs.CV2023

Linear Object Detection in Document Images using Multiple Object Tracking

Philippe Bernet, Joseph Chazalon, Edwin Carlinet +2

Linear objects convey substantial information about document structure, but are challenging to detect accurately because of degradation (curved, erased) or decoration (doubled, das…

cs.CV2021★ 1 cited

Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation

Yizi Chen, Edwin Carlinet, Joseph Chazalon +3

The digitization of historical maps enables the study of ancient, fragile, unique, and hardly accessible information sources. Main map features can be retrieved and tracked through…

cs.CV2019★ 309 cited

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser +41

Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Currently, measurements are o…

cs.CV2012★ 55 cited

Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations

Yongchao Xu, Thierry Géraud, Laurent Najman

Connected operators are filtering tools that act by merging elementary regions of an image. A popular strategy is based on tree-based image representations: for example, one can co…