Pr PAINDAVOINE Michel

Fiche personne

Coordonnées

LEAD CNRS UMR5022
Institut Marey - I3M
64 rue de Sully
21000 DIJON

Territoire

Bourgogne

Statut

Enseignant-Chercheur

Affiliation

Université Bourgogne Europe (UBE)

Équipes/plateformes

Laboratoire d'étude de l'apprentissage et du développement LEAD - UMR 5022

Recherche

Mots clés : Machine learning, Deep learning, Traitement d'images, Classification, Cancer des ovaires, Recombinaison homologue, Inhibiteurs de PARP, Sélection pour traitement, Histologie

Thématique de recherche :

Traitement du signal et des images

Intelligence Artificielle

Expertises :
- Recherche:Informatique

Publications

Deep Learning Morphometric Analysis on Protocol Biopsies Predicts Future Graft Function.

Ben Haberou M, Bard P, Gibier JB, Pereira De Almeida HG, Bamoulid J, Maanaoui M, Koenig A, Rabeyrin M, Gazeu A, Ezzahid S, Buron F, Picard C, Courivaud C, Felix SA, Paindavoine M, Tinel C, Lenain R, Martin L, Tarris G, Ansart M, Legendre M

Kidney Int Rep. 2026 07;11(7):106585

Morphological Convolutional Neural Network for Efficient Facial Expression Recognition.

Robert,Madenda S, Harmanto S, Paindavoine M, Indarti D

J Imaging. 2026 04 15;12(4):

Historical Text Line Segmentation Using Deep Learning Algorithms: Mask-RCNN against U-Net Networks.

Fizaine FC, Bard P, Paindavoine M, Robin C, Bouyé E, Lefèvre R, Vinter A

J Imaging. 2024 03 5;10(3):

Recognition of intraglomerular histological features with deep learning in protocol transplant biopsies and their association with kidney function and prognosis.

Farhat I, Maréchal E, Calmo D, Ansart M, Paindavoine M, Bard P, Tarris G, Ducloux D, Felix SA, Martin L, Tinel C, Gibier JB, Funes de la Vega M, Rebibou JM, Bamoulid J, Legendre M

Clin Kidney J. 2024 02;17(2):sfae019

Automated evaluation with deep learning of total interstitial inflammation and peritubular capillaritis on kidney biopsies.

Jacq A, Tarris G, Jaugey A, Paindavoine M, Maréchal E, Bard P, Rebibou JM, Ansart M, Calmo D, Bamoulid J, Tinel C, Ducloux D, Crepin T, Chabannes M, Funes de la Vega M, Felix S, Martin L, Legendre M

Nephrol Dial Transplant. 2023 05 17;:

Deep learning automation of MEST-C classification in IgA nephropathy.

Jaugey A, Maréchal E, Tarris G, Paindavoine M, Martin L, Chabannes M, de la Vega MF, Chaintreuil M, Robier C, Ducloux D, Crépin T, Felix S, Jacq A, Calmo D, Tinel C, Zanetta G, Rebibou JM, Legendre M

Nephrol Dial Transplant. 2023 02 15;:

A Cross-Sectional Reproducibility Study of a Standard Camera Sensor Using Artificial Intelligence to Assess Food Items: The FoodIntech Project.

Van Wymelbeke-Delannoy V, Juhel C, Bole H, Sow AK, Guyot C, Belbaghdadi F, Brousse O, Paindavoine M

Nutrients. 2022 01 5;14(1):

Automatic Evaluation of Histological Prognostic Factors Using Two Consecutive Convolutional Neural Networks on Kidney Samples.

Marechal E, Jaugey A, Tarris G, Paindavoine M, Seibel J, Martin L, Funes de la Vega M, Crepin T, Ducloux D, Zanetta G, Felix S, Bonnot PH, Bardet F, Cormier L, Rebibou JM, Legendre M

Clin J Am Soc Nephrol. 2021 Dec 3;: