Retinal Blood Vessels Segmentation: Improving State-of-the-Art Deep Methods. - Valentine Wargnier-Dauchelle; Camille Simon Chane; Aymeric Histace (CAIP Workshops, 2019)

Saliency Maps of Video-colonoscopy Images for the Analysis of Their Content and the Prevention of Colorectal Cancer Risks. - Valentine Wargnier-Dauchelle; Camille Simon Chane; Aymeric Histace (BIOSIGNALS, 2020)

A More Interpretable Classifier For Multiple Sclerosis. - Valentine Wargnier-Dauchelle; Thomas Grenier; Françoise Durand-Dubief; François Cotton; Michaël Sdika (ISBI, 2021)

Reproducibility of Tumor Segmentation Outcomes with a Deep Learning Model. - Morgane Des Ligneris; Axel Bonnet; Yohan Chatelain; Tristan Glatard; Michaël Sdika; Gaël Vila; Valentine Wargnier-Dauchelle; Sorina Camarasu-Pop; Carole Frindel (ISBI, 2023)

Robust Unsupervised Image to Template Registration Without Image Similarity Loss. - Slim Hachicha; Célia Le; Valentine Wargnier-Dauchelle; Michaël Sdika (MILLanD@MICCAI, 2023)

Interprétabilité des réseaux de neurones profonds et segmentation faiblement supervisée des lésions cérébrales sur IRM. (Deep neural networks interpretability and weakly supervised segmentation of brain lesions on MRI). - Valentine Wargnier-Dauchelle (2023)

A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection. - Valentine Wargnier-Dauchelle; Thomas Grenier; Françoise Durand-Dubief; François Cotton; Michaël Sdika (IEEE Trans. Medical Imaging, 2023)

An unexpected confounder: how brain shape can be used to classify MRI scans ? - Valentine Wargnier-Dauchelle; Thomas Grenier; Michaël Sdika (MIDL, 2024)

Towards Better Interpretability of Sepsis Prediction by Deep Neural Networks with Variable-Wise Attribution Maps. - P.-E. Thiboud; Valentine Wargnier-Dauchelle; Mathieu Lefort; Nicolas Duchateau; Michaël Sdika (ISBI, 2025)

Explainable monotonic networks and constrained learning for interpretable classification and weakly supervised anomaly detection. - Valentine Wargnier-Dauchelle; Thomas Grenier; Françoise Durand-Dubief; François Cotton; Michaël Sdika (Pattern Recognit., 2025)