Programme

 PROGRAMME de la journée

L'ensemble de la jounée aura lieu dans le Batiment Gustave Ferrié, Département Génie Electrique. 

Cours magistral -  Olivier Bernard du laboratoire CREATIS présentera les notions clés de la modélisation par réseaux de neurones et de leur utilisation dans le cadre de l'apprentissage profond. La modélisation mathématique d'un Multi-Layer Perceptron (MLP) sera détaillée, et les mécanismes permettant d'entraîner un tel modèle seront également décrits. En particulier, une représentation en blocs pouvant être concaténés permettra d'illustrer le concept des couches successives d'un réseau de neurones. Ce découpage en blocs servira également de schéma directeur pour la séance pratique de l'après-midi.

Durant le temps de midi, autour d'un buffet, les participants pourront partager leurs expériences et leurs questions concernant la mise en oeuvre des méthodes d'apprentissage automatique et les réseaux de neurones. Les sujets méthodologiques ainsi que les aspects les pratiques jusqu'à la programmation seront partagés entre les participants.

L'après-midi sera consacrée à la résolution d'un problème concret posé à l'ensemble des participants. Olivier Bernard, Odyssée Merveille, Emmanuel Roux et François Varray animeront cette séance, ils s'appuieront sur des supports de cours, des exemples et du code disponible en ligne avant la journée. Sur place, les participants développeront du code Matlab pour résoudre un problème de reconnaissance d'images médicales par réseaux de neurones.

Les intervenants :

Olivier Bernard has an MSc in Electrical Engineering and received a PhD in Medical Image Processing from the University of Lyon (INSA) - France - in 2006. In 2007, he became Associate Professor at the French University of Lyon and a member of the CREATIS laboratory (CNRS 5220, INSERM U1044, INSA-Lyon, University of Lyon). In 2013, he was a one year invited professor at Federal Polytechnic Institute of Lausanne (Switzerland) in the laboratory headed by Prof. Jean Philippe Thiran. He was an Associate Editor for the IEEE Transactions on Image Processing Journal between 2012 and 2016. His current research interests include medical image analysis with a particular attention to cardiac imaging. He has a strong interest in image reconstruction, image segmentation, motion analysis, statistical modeling, sampling theories and machine learning.

Odyssée Merveille received the engineering degree from the Institut Supérieur de BioSciences and the master degree in Signal and Image in Medicine from Paris-Est in 2013 and the PhD degree in computer science from Paris-Est University in 2016. She is currently an Associate Professor at University of Lyon / CREATIS laboratory. Her scientific interests include image filtering and segmentation, variational models and deep learning for medical imaging.

Emmanuel Roux received the Electrical and Electronics Engineering degree in Master of Science (M.S.) and the M.Sc. degree in science for technologies and health from Lyon National Institute of Applied Sciences (INSA-Lyon), in 2013.
He received a Ph.D. in acoustics and information engineering from University of Lyon, Lyon, France, and University of Florence, Florence, Italy. He is currently an Associate Professor at University of Lyon as a member of the CREATIS laboratory (CNRS 5220, INSERM U1044, INSA-Lyon, University of Lyon). His current research focuses on sparse neural networks and deep models interpretability for medical applications (computer aided diagnostic tools from multimodal information, odontology, 3-D+t ultrasound imaging).

François Varray  received the Diploma in engineering and the master’s degree in image and signal processing from the Ecole des Mines de Saint-Etienne, Saint-Étienne, France, in 2008, and the Ph.D. degree in nonlinear ultrasound simulation from the Université de Lyon 1, Lyon, France, in 2011. His Ph.D. research was realized in co-agreement between the CREATIS, Lyon, and the MSD Laboratory, Florence, Italy, where he has been an Associate Professor since 2013. His current research interests include the nonlinear ultrasound propagation simulation, nonlinear image simulation, multiresolution motion estimation, cardiac imaging, and photoacoustic imaging. Recently, he participated to the developpement of 3-D+t ultrafast acquisition system.