Associate professor
Institut Universitaire de France (IUF)
CREATIS - INSA - University of Lyon
Lyon Center - Institute of Fluid Science (IFS)
University of Tohoku
phone: +33 (0)4 72 43 82 58
mail : carole.frindel@creatis.insa-lyon.fr
scholar: https://scholar.google.com/citations?user=SQTyBlEAAAAJ
linkedin: https://www.linkedin.com/in/carole-frindel-9a56a1133/
web of science: https://www.webofscience.com/wos/author/record/593914
Short bio
I received a M.Sc. degree in computer vision from the Ecole Polytechnique de Montréal, Montréal Canada in 2005, a M.Sc. degree in bioinformatics from the Institut National des Sciences Appliquées, Lyon France, in 2006 and then a industrial Ph.D. degree in electrical and computer engineering from the Institut National des Sciences Appliquées with Siemens Healthineers, Lyon France, in 2009. From 2009 to 2011, I worked in the industry for medical imaging software publishing groups. Since 2011, I'm assistant professor at the Biomedical Imaging Research Laboratory (CREATIS) of the Institut National des Sciences Appliquées in Lyon and since 2020 also at the Institute of Fluid Sciences of Tohoku University. Since 2024, I'm a junior member of Institut universitaire de France.
My current interests are the applications of machine learning and deep learning to major health issues, including the prediction of pathologies and the contribution of IoT in medicine.
News !
July 2025 : We are delighted to announce that our project IMAGE-TEXT-AVC has been selected for funding under the 2025 Generic Call for Proposals (AAPG2025) by the French National Research Agency (ANR).
May 2025 : Our paper "Lesion-centered vision transformer for stroke outcome prediction from image and clinical data" has been accepted to MICCAI 2025, congrats Mingtian !
January 2025 : Our paper "Contrast quality control for segmentation task based on deep learning models: application to stroke lesion in CT imaging" has been accepted to Frontiers AI in Neurology, congrats Juliette !
January 2025 : Our paper "Fusion of DWI Image and Clinical Variables for Stroke Outcome Prediction Using Tabular Transformer" has been accepted to ISBI 2025, congrats Mingtian and Nima !
October 2024 : I'm proud and honored to have been chosen as a junior member of the Institut Universitaire de France for a 5-year term.
Research interests
Neuroimaging
Signal/image processing
Image synthesis and simulation
Statistical learning
Privacy in Machine Learning and AI
Active projets
ANR IMAGE-TEXT-AVC : Fusion of imaging and text data for longitudinal stroke prediction and intervention (Principal investigator)
FIL MEDIKG: MEDIcal Knowledge Graphs for causality-aware multimodal learning (Principal investigestigator)
PNRIA Plug-AI: Plug and play with artificial intelligence (Principal investigator)
ANR PMR: Privacy-preserving methods for Medical Research (Local principal investigator)
ANR PRESPIN: Predictive Simulation for the Planning of Interventional Neuroradiology procedures (Local principal investigator)
CNRS INS2I PREPANEXT: Plateforme web de REcherche et Pedagogique pour des ANnotations eXperTisées
RHU BOOSTER: Brain clOt persOnalized therapeutic Strategies for sTroke Emergent Reperfusion (Local principal investigator)
Past projets
FIL CEDAR: Clinical Data Extraction and Analysis for Prognostic (Principal investigator)
FIL RIVIERA: RIsques de la VIolation de la viE pRivée dans les reconstructions d’images d’IRM cérébrAles (Principal investigator)
Ambition internationale SIMAVC : Simulation pour la prédiction de l'évolution des lésions dans l'AVC (Principal investigator)
FET-OPEN PROCHIP: Chromatin organization PROfiling with high-throughput super-resolution microscopy (Local principal investigator)
RHU MARVELOUS: Nouvelle imagerie IRM pour le traitement des infarctus cardiaques et cérébraux
PEPS OC3A NEUROSENS: Quantification adaptée de la réadaptation de patients NEUROlogiques (Principal investigator)
BQR INSA: TELEMETER - smarT, and EthicaL rEMotE paTiEnt monitoRing
FP7-PEOPLE TRANSACT: Transforming Magnetic Resonance Spectroscopy into a Clinical Tool
Supervision & PhD committees
2012–15: Hugo Rositi "Imagerie multimodale de l’inflammation cérébrale : Exploration de l’échelle tissulaire à l’échelle cellulaire" , thèse soutenue le 23/10/2015
2013–16: Chloé Murtin "Traitement d’images de microscopie confocale 3D haute résolution du cerveau de la mouche Drosophile" , thèse soutenue le 20/09/2016
2013–17: Claudio Stamile "Unsupervised Models for White Matter Fiber-Bundles Analysis in Multiple Sclerosis", thèse soutenue le 11/09/2017
2013–17: Adrian Ion-Margineanu "Machine learning for classifying abnormal brain tissue progression based on multi-parametric MRI data", thèse soutenue le 23/10/2017
2014–17: Mathilde Giacalone "Traitement et simulation d’images d’IRM de perfusion pour la prédiction de l’évolution de la lésion dans l’AVC", thèse soutenue le 05/10/2017
2015–18: Timothée Jacquesson "Tractographie des nerfs crâniens : état de l’art, développement et application en chirurgie des tumeurs de la base du crâne", thèse soutenue le 14/12/2018
2017–20: Noëlie Debs "Prédiction de l’issue lésionnelle et clinique de l’accident vasculaire cérébral par des approches d’apprentissage automatique", thèse soutenue le 13/10/2020
2018-21: Ali Ahmad "Simulation and machine learning for chromatin phenotyping through 3D lattice light-sheet fluorescence microscopy", thèse soutenue le 23/09/2021
2018-21: Théo Jourdan "Privacy and transparency in learning systems for healthcare", thèse soutenue le 29/10/2021
2019- 23: Méghane Decroocq "Computational fluid dynamics-based simulation of perfusion imaging for the prediction of stroke lesions evolution", thèse soutenue le 31/05/2023
2018-23: Yuhan Jing "Simulation of water diffusion in biological tissues, application to cardiac tissue", thèse soutenue le 23/10/2023
2021-2025: Juliette Moreau, "Défis et avancées en apprentissage profond pour la segmentation de lésions d'AVC sur scanner CT : exploitation des caractéristiques images", thèse soutenue le 25/02/2025
Post-doc researchers:
Pierre Leclerc 2018-2019, Nima Hatami 2021-2025
Engineers:
Guillaume Vanel 2020-2021, Morgane Des Ligneris 2022-2023, Hatim Bourfoune 2022, Kamel Guerda 2022, François-Régis Hammer 2022-2024, Mingtian Liu 2024-2025
Master students:
Julie Crouzet (2025), Nadège Singaye (2025), Imen Bajar(2025), Mingtian Liu (2024), Alexis Bonis (2024), Amine Boukhari (2024), Loïc Demore (2024), Amine Dahmouni (2023), Louise Bart (2023), Axelle Salmon (2022), Morgane Des Ligneris (2022), Juliette Moreau (2021), Emeric Desmazure (2021) Karen Elakoury (2021), Pierre Rougé (2021), Erwan Maury (2020), Pierrick Ullius (2020), Titouan Poquillon (2020), Méghane Decroocq (2019), Yutaro Kohata (2019), Corentin Dauléac (2019), Léon Victor (2018), Théo Jourdan (2018), Méghane Decroocq (2018), Rosa Huaman (2017), Lucie Lalanne (2017), Pierre Gard (2017), Justine Bosc (2017), Clément Douarre (2016), Pierre Gard (2016) Gilda Costantino (2015), Mathilde Giacalone (2014), Grégoire Colson (2014), Simon Mure (2013), Anaïs Rouanet (2013), Hélène Daudet (2013)
PhD committees :
2025 Littisha Lawrance Université Paris Saclay Examinatrice
2025 Cécile Pohar Université Grenoble Alpes Rapporteure
2025 Ricky Walsh Université de Rennes Rapporteure
2025 Aghiles Kebaili Normandie Université Examinatrice
2025 Emma Sarfati Télécom Paris Rapporteure
2025 Yacine Belal INSA Lyon Examinatrice/Présidente
2024 Anas Bachiri Université Paris Saclay Examinatrice
2024 Sonia Ouali Université de Haute Alsace Rapporteure
2023 Guillaume Mougeot Université Clermont Auvergne / Oxford Brookes University Rapporteure
2022 Clément Brossard Université Grenoble Alpes Rapporteure
2022 Somar Karheily Université de Haute Alsace Examinatrice/Présidente
HDR committees :
2025 Ali Moukadem Université de Haute Alsace Examinatrice/Présidente
Scholarships and awards
2025-2030 Junior Member, French Institute for Advanced Studies (Institut Universitaire de France, IUF), Paris, France.
2023 –2024 Temporary assignment half-time researcher, <5% of French Associate Professors
2018 Bronze award for the work entitled "Synchrotron X-ray phase-contrast imaging to simulate diffusion tensor MRI: application to tractography", Joint Annual Meeting ISMRM * 2018, Paris Expo Porte de Versailles, Paris, France.
2017 - 2018 Temporary assignment full researcher, <5% of French Associate Professors
2017 - present Bonus for Scientific Excellence, <10% of French Associate Professors
2007 PhD Scholarship, Mobility program, Rhône-Alpes region
Scientific leadership
2022- Deputy leader of the MYRIAD research team at CREATIS
Member of the board of the Lyon Computer Science Federation (FIL – Fédération Informatique de Lyon)
2020- Leader of the Neuroimaging Working Group at CREATIS
Lecturer for early-career researchers at various academic schools: IMAPHEN 2014, MIFOBIO 2014 and 2016, GDR RSD 2020
Member of professional and scientific societies: GDR ISIS (Information, Signal, Image, and Vision), French Society of Biological and Medical Engineering (SFGBM), International Society for Magnetic Resonance in Medicine (ISMRM), and Club EEA
Conference Organization
Member of the organizing committee and associate editor for the Medical Imaging with Deep Learning (MIDL) conference since 2021. MIDL 2022 Organization
Program committee member for the Journées Imagerie Optique Non Conventionnelle since 2021. GDR ISIS Meeting
Co-organizer of tutorials with Hassan Rivaz at the IEEE International Symposium on Biomedical Imaging (ISBI) 2021, Nice, France. ISBI 2021 Tutorials
Program committee member for the Winter School on Distributed Systems and Networks, organized by GDR RSD and ASR, Sept Laux, France, February 2020. Winter School 2020 Program
Contributor to the organization of the Women in Computing Systems & Engineering workshop, Lyon, France, September 2019. Women in Computing Workshop
Contributor to the organization of the Annual Congress of Club EEA, Lyon, May 2015. EEA 2015 Conference
Contributor to the organization of the IMAPHEN Summer School on imaging physics and image analysis for plant phenotyping, Dijon, France, July 2014.
Editorial/ reviewer activities
2025: Reviewer for the International conference on medical image computing and computer assisted intervention MICCAI 2025, Daejeon, South Korea, September 2025.
2024: Member of the editorial committee for the International conference Symposium on Biomedical Imaging IEEE ISBI 2024, Athena, Greece, in May 2024.
2023: Member of the editorial committee for the International conference Symposium on Biomedical Imaging IEEE ISBI 2023, Cartagena de Indias, Colombia, in April 2023.
Since 2022: Permanent member of the editorial board for Medical Imaging with Deep Learning, MIDL.
2021: Member of the editorial committee for the International conference Symposium on Biomedical Imaging IEEE ISBI 2021, Nice, France, in April 2021.
Reviewer for ISBI 2021, 2020, 2019, 2018
Reviewer for EUSIPCO 2022, 2020, 2019
TPC member MICCAI 2019,
TPC member for EMBC 2019, 2018,
Reviews for MEDIA (Medical Image Analysis), Magnetic Resonance in Medicine (MRM), Stroke, Frontiers in Neurology, Sensors, Information and Electronics (MDPI), International Journal for Numerical Methods in Biomedical Engineering (Wiley).
Teaching
2020-present : Digital image processing, Tohoku University (Graduate School of Biomedical Engineering), master level
2013-present: Combinatorial optimization, INSA-Lyon (Biosciences), master level
2018-present: Statistical machine learning INSA-Lyon (Biosciences), master level
2012-present : Algorithmic and programming in Python, INSA-Lyon (FIMI), license level
2013-2019: Image analysis and quantitative microscopy, FOCAL University of Lyon, continuous training
2013-2015: Operating system, INSA-Lyon (Biosciences), master level
2012-2018: Digital signal processing, INSA-Lyon (Biosciences), master level
2012-present: Digital image processing, INSA-Lyon (Biosciences), master level
2011-2013: IT and digital society, INSA-Lyon (FIMI), license level
2011-2013: Systems architecture, INSA-Lyon (FIMI), license level
2011-2014: Transverse teaching Maths-Physics-IT, INSA-Lyon (FIMI), license level