Valentine Wargnier-Dauchelle

Associate Professor, CREATIS, INSA Lyon

Joined

January 2024

Names

Valentine Wargnier-Dauchelle (Preferred)

Valentine Wargnier Dauchelle

Emails

****@creatis.insa-lyon.fr (Confirmed)

****@outlook.fr (Confirmed)

****@insa-lyon.fr (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Associate Professor

CREATIS, INSA Lyon (creatis.insa-lyon.fr)

2024 – Present

Postdoc

LIRIS, CNRS (liris.cnrs.fr)

2024 – 2024

PhD student

CREATIS, INSA Lyon (creatis.insa-lyon.fr)

2019 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

Deep learning

deep networks interpretability

segmentation

unsupervised and weakly supervised segmentation

2019 – Present

Publications

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
- Readers: Everyone
Constrained non-negative networks for a more explainable and interpretable classification
Valentine Wargnier Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika
- MIDL 2024 Short Papers
- Readers: Everyone
An unexpected confounder: how brain shape can be used to classify MRI scans ?
Valentine Wargnier Dauchelle, Thomas Grenier, Michaël Sdika
- MIDL 2024 Oral
- Readers: Everyone
A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection
Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika
- Published: 01 Jan 2023, Last Modified: 04 Mar 2024
- IEEE Trans. Medical Imaging 2023
- Readers: Everyone
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
- Published: 01 Jan 2023, Last Modified: 04 Mar 2024
- undefined 2023
- Readers: Everyone
Robust Unsupervised Image to Template Registration Without Image Similarity Loss
Slim Hachicha, Célia Le, Valentine Wargnier-Dauchelle, Michaël Sdika
- Published: 01 Jan 2023, Last Modified: 04 Mar 2024
- MILLanD@MICCAI 2023
- Readers: Everyone
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
- Published: 01 Jan 2023, Last Modified: 04 Mar 2024
- ISBI 2023
- Readers: Everyone
A More Interpretable Classifier For Multiple Sclerosis
Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika
- Published: 01 Jan 2021, Last Modified: 04 Mar 2024
- ISBI 2021
- Readers: Everyone
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
- Published: 01 Jan 2020, Last Modified: 16 May 2023
- BIOSIGNALS 2020
- Readers: Everyone
Retinal Blood Vessels Segmentation: Improving State-of-the-Art Deep Methods
Valentine Wargnier-Dauchelle, Camille Simon Chane, Aymeric Histace
- Published: 01 Jan 2019, Last Modified: 16 May 2023
- CAIP Workshops 2019
- Readers: Everyone