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Christian Daul — most-cited papers & profile · Computer Vision
← authors
·
overview
Christian Daul
9
papers ·
29
citations ·
17
h-index
Centre National de la Recherche Scientifique · Université de Lorraine
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Most-cited papers
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
2022 · 19 citations
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction
2024 · 4 citations
Comparing feature fusion strategies for Deep Learning-based kidney stone identification
2022 · 2 citations
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images
2022 · 2 citations
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs
2025 · 1 citations
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies
2022 · 1 citations
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
2022
Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams
2022
Top co-authors
Gilberto Ochoa-Ruiz
· 6
Francisco Lopez-Tiro
· 5
Jacques Hubert
· 4
Jonathan El-Beze
· 4
Andres Mendez-Vazquez
· 3
Elias Villalvazo-Avila
· 3
Daniel Flores-Araiza
· 2
Dominique Lamarque
· 2
Ivan Reyes-Amezcua
· 2
Adrian Galdran
· 1
Amr Ahmed
· 1
and James E. East
· 1
Topics
Medical Imaging
Object Detection
Segmentation
Image Generation
Video Understanding