Spearkers and Organizing comitee

Speakers and organizing comitee

Ninon Burgos - Paris Brain Institute, FRANCE

 Ninon Burgos is a CNRS researcher at the Paris Brain Institute, co-head of the ARAMIS Lab and a fellow of PR[AI]RIE, the PaRis Artificial Intelligence Research InstitutE. She completed her PhD in 2016 at University College London and obtained her Habilitation à Diriger des Recherches from Sorbonne Université in 2022. In 2019, she received the ERCIM Cor Baayen Young Researcher Award.
Her research focuses on the processing and analysis of medical images, on the use of images to guide diagnosis, and on the application of these methods to the clinic. In particular, she has contributed to: i) anomaly detection using both traditional image processing techniques and deep generative models, ii) the translation of machine learning approaches for quality control and computer-aided diagnosis into clinical practice, iii) reproducible medical image processing and computer-aided diagnosis with machine learning, and iv) the development of open-source software. 

Olivier Bernard - CREATIS laboratory, Lyon, France

Olivier Bernard received his Electrical Engineering degree and Ph.D. from the University of Lyon (INSA), France, in 2003 and 2006, respectively. He was a Postdoctoral Fellow with the Biomedical Imaging Group at the Federal Polytechnic Institute of Lausanne, EPFL, Switzerland in 2007. Currently, he is a Professor with the University of Lyon (INSA) and the CREATIS laboratory in France. He is also the head of the Myriad research team, which specializes in medical image analysis, simulation, and modeling. His current research interests focus on image analysis through deep learning techniques, with applications in cardiovascular imaging, blood flow imaging, and population representation. Prof. Bernard was also an Associate Editor of the IEEE Transactions on Image Processing.

Christian Desrosiers - École de Technologie Supérieure, Canada

Prof. Desrosiers obtained a Ph.D. in Applied Mathematics from Polytechnique Montreal in 2008, and was a postdoctoral researcher at the University of Minnesota with prof George Karypis. In 2009, he joined École de technologie supérieure (ÉTS) as professor in the Departement of Software and IT Engineering. He is codirector of the Laboratoire d’imagerie, de vision et d’intelligence artificielle (LIVIA) and a member of the REPARTI research network. He has over 100 publications in the fields of machine learning, image processing, computer vision and medical imaging, and has served on the scientific committee of several important conferences in these fields.

Nicolas Duchateau - CREATIS laboratory, Lyon, France

Nicolas Duchateau is Associate Professor (Maître de Conférences) at the Université Lyon 1 and the CREATIS lab in Lyon, France. His research focuses on the statistical analysis of medical imaging data to better understand disease apparition and evolution, and to a certain extent computer-aided diagnosis. On the technical side, it mainly covers post-processing through statistical atlases and machine learning techniques. It also includes dedicated pre-processing and validation, among which the generation of synthetic databases. On the clinical/applicative side, it covers the study of cardiac function from heart failure populations, through routine imaging data and advanced 2D/3D shape, motion and deformation descriptors.

Nicolas Ducros - CREATIS Laboratory, Lyon, France

Nicolas Ducros has been an Associate Professor in the Electrical Engineering Department of Lyon University and with the Biomedical Imaging Laboratory CREATIS since 2014. His research interests include signal and image processing, and applied inverse problems with particular emphasis on single-pixel imaging and spectral computed tomography. His recent work focus on deep learning for image reconstruction and, in particular,  on network architectures that can be interpreted as conventional reconstruction methods. He is an Associated Member of the IEEE Bio Imaging and Signal Processing Technical Committee.

Thomas Grenier - CREATIS laboratory, Lyon, France

Thomas Grenier has been an assistant professor at INSA Lyon and the Creatis laboratory (FRANCE) since 2006. His research focuses on the longitudinal analysis of medical data to study the evolution of pathologies such as multiple sclerosis lesions, bone metastases, and functional disability (muscle and brain).

Most of these studies involve organ and lesion segmentation tasks, with dedicated pre- and post-processing steps. Most of his contributions are related to deep learning approaches in semantic and instance segmentation (UNet, Yolo, MaskRCNN, data augmentation with diffusion, ...) and classification (graph, explicability).

Pierre-Marc Jodoin - University of Sherbrooke, Canada

Pierre-Marc Jodoin is from  the University of Sherbrooke, Canada where he works as a full professor since 2007.  He specializes in the development of novel techniques for machine learning and deep learning applied to computer vision and medical imaging.   He mostly works in video analytics and brain and cardiac image analytics.  He is the co-director of the Sherbrooke AI plateform and co-founder of the medical imaging company called "Imeka.ca" which specializes in MRI brain image analytics. web site: http://info.usherbrooke.ca/pmjodoin/

Carole Frindel - CREATIS laboratory, Lyon, France

Carole Frindel is an Associate Professor at INSA Lyon and at the CREATIS laboratory in Lyon, France. Her research focuses on computational medical imaging, with a particular interest in predicting the outcome of stroke. This task is complex because the lesion visible in imaging evolves up to one month later. For this purpose, I develop new approaches in machine and deep learning, for the fusion, encoding and simulation of multimodal data. I strive to bridge the gap between theory and applications.

 Hamid Ladjal - LIRIS, Lyon France

Hamid Ladjal is associate professor(Maître de Conférences - HDR) in computer science department of University of Claude Bernard Lyon 1. He is member of LIRIS UMR 5205 (Laboratory of Computer Graphics, Images and Information Systems). His research and education expertise are in the following areas: computational modelling and multi-physics simulation, radiation therapy and Organ motion modeling, computer graphics, medical imaging and machine learning. He serve as a regular reviewer for a number of journals and conferences in the field (IEEE Trans on Biomedical Engineering, IEEE/ASME Trans Mechatronics, IEEE ISBI, IEEE IROS, IEEE ICRA …). He co-author of several papers in refereed journals and proceedings of international conferences.

Odyssée Merveille - CREATIS laboratory, Lyon France

Odyssée Merveille has been an associate professor at INSA Lyon and at the CREATIS laboratory since 2019.
She received a PhD degree in computer science from the Université Paris-Est in 2016 and was a postdoc at Université de Strasbourg. Her scientific interests include inverse problems and deep learning for medical imaging, in particular for the analysis of vascular networks.

Fabien Millioz - CREATIS laboratory, Lyon, France

Fabien Millioz graduated from the École Normale Supérieure de Cachan, France and received the M.Sc. degree in 2005 and Ph.D. degree in 2009 both in signal processing from the Institut National Polytechnique of Grenoble, France. Since 2011, he is lecturer at University Claude Bernard Lyon 1, and member of the CREATIS lab since 2015.

His research interests are statistical signal processing, fast acquisition, compressed sensing and neural networks.

Bruno Montcel - CREATIS laboratory, Lyon, France

Bruno Montcel is Associate Professor (Maître de Conférences - HDR) at the Université Lyon 1 and the CREATIS lab in Lyon, France. His research focuses on optical imaging methods and experimental set up for the exploration of brain physiology and pathologies. It mainly focuses on intraoperative and point of care hyperspectral optical imaging methods for medical diagnosis and gesture assistance.

Chantal Muller - CREATIS laboratory, Lyon, France

Chantal Revol-Muller is an Associate Professor in the Telecommunications Department at INSA Lyon and a researcher at the CREATIS lab in Lyon, France. Her research focuses on medical and biomedical image segmentation using deep learning and multimodal generative AI, particularly through latent diffusion models. Her current work includes multiple sclerosis lesion segmentation, longitudinal biomarker analysis, and synthetic brain MRI generation from textual descriptions. She is actively involved in interdisciplinary collaborations and contributes to many medical applications projects.

Nathan Painchaud - CREATIS laboratory, Lyon, France

Nathan Painchaud obtained a joint PhD in computer science and signal and image processing from the Université de Sherbrooke, Canada, and INSA Lyon, France, in 2024. He is now doing a postdoc at the CREATIS laboratory (INSA Lyon). On the technical side, his research interests are in representation learning and multi-modal learning, for combining images with other modalities. On the applicative side, he uses these methods to learn rich representations from healthcare data to solve clinical problems like population analysis and risk stratification.

Michaël Sdika - CREATIS laboratory, Lyon, France

Michaël Sdika is from the CREATIS lab in Lyon, France. His current research field focuses on the development of new analysis method based on interpretable and explainable deep learning for medical data. His main contributions are centered around image registration, atlas based segmentation, structure localization.

Valentine Wargnier-Dauchelle - CREATIS laboratory, Lyon, France

Valentine Wargnier-Dauchelle has been an associate professor at INSA Lyon and CREATIS laboratory since 2024. Her research focuses on interpretable and explainable deep networks and weakly-supervised segmentation, with an application to medical imaging. She is currently working on tissue characterization using ultrasound imaging and deep learning.