Carole Frindel
Associate professor
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.
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 !
October 2023: Our paper "Towards an evolution in the characterization of the risk of re-identification of medical images" has been accepted to BigData 2023 (special session on Privacy and Security), congrats Mohamed and Antoine !
October 2023: We are organizing a tutorial on reproducibility for medical imaging at MICCAI, more details here.
September 2023: We are organizing a summer school and thematic days on decentralized learning at Lyon, more details here and there.
April 2023 : We are organizing a spring school on deep learning for medical imaging at Lyon, more details here.
Research interests
Neuroimaging
Signal/image processing
Image synthesis and simulation
Statistical learning
Privacy in Machine Learning and AI
Active projets
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)
Ambition internationale SIMAVC : Simulation pour la prédiction de l'évolution des lésions dans l'AVC (Principal investigator)
Past projets
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 : réSeau de captEurs saNS fil (Principal investigator)
BQR INSA: TELEMETER - smarT, and EthicaL rEMotE paTiEnt monitoRing
FP7-PEOPLE TRANSACT: Transforming Magnetic Resonance Spectroscopy into a Clinical Tool
Supervision
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
Post-doc researchers:
Pierre Leclerc 2018-2019, Nima Hatami 2021-2023
Engineers:
Guillaume Vanel 2020-2021, Morgane Des Ligneris 2022-2023, Hatim Bourfoune 2022, Kamel Guerda 2022, François-Régis Hammer 2022-2024
Master students:
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)
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
Editorial/ reviewer activities
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 board of the Special Issue "Biomedical Signal Processing and Image Classification" of the International Journal "Electronics", MDPI, 2021
2021: Member of the editorial committee for the International conference Symposium on Biomedical Imaging IEEE ISBI 2021, Nice, France, in April 2021.
Since 2018: Member of the editorial committee of the International Journal "Frontiers in Neurology", Frontiers
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).