Vincent Noblet

Research Engineer - HDR
       Head of Biomedical image processing group
       Head of GAIA platform
       Head of computer science and image processing department of IRIS platform

ICube - IMAGeS 300 Bd Sébastien Brant BP 10413 67412 Illkirch CEDEX - France Illkirch site: Phone: + 33 (0) 3 68 85 44 89 Office: C211 IPB site: Phone: + 33 (0) 3 68 85 40 42 Office: 109 E-mail: vincent(dot)noblet(at)unistra(dot)fr

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Description of activities

My research activities in the IMAGeS team are within the field of Biomedical image processing and cover two main areas:

• image registration
• change detection in image sequences

Furthermore, as part of my activities within the IRIS plateform, I bring my expertise to the investigation of various problems in neuroscience requiring the setting up of appropriate image processing pipelines and the exploitation of large image databases.

Course

Since 2005	: Research Engineer, CNRS, ICube
june 2015	: Habilitation degree , UDS, Strasbourg
2002 - 2006	: PhD degree, LSIIT, UMR 7005, ULP, Strasbourg
2001 - 2002	: master degree in Mechanics and Engineering, Biomechanics option, ULP, Strasbourg
1999 - 2002	: Engineer degree from ENSPS (Ecole Nationale Supérieure de Physique de Strasbourg)

PhD thesis supervision

current thesis:

• "Unified framework for change detection in multimodal brain MRI. Application to the follow-up of multiple sclerosis patients", Thesis of Eléonore Dufresne, (2018-), Co-direction with Stéphane Kremer, supervisor: Denis Fortun

• "Semantic segmentation of 3D CT images of the lung using deep learning.", Thesis of Adrien Heitz (2020-), Co-direction with Fabrice Heitz (director). CIFRE thesis with Visible Patient.

• "Analysis of mouse brain MRI by deep learning. Application to the characterization of mouse models for the study of chronic pain comorbidity and anxiety disorders.", Thesis of Franck Valentini.(2021-), Co-direction with Laura Harsan.

defended thesis:

• "Novel radiomics approaches for characterization of liver tumours by image analysis", Thesis of Farid Ouhmich (2017-2021), Co-direction with Fabrice Heitz, supervisor: Vincent Agnus.

• "Development of a computer model to optimize donor/receiver matching in liver transplantation", Thesis of Pietro Addeo (2017-2021), Co-supervision with Benoit Naegel (director), Philippe Bachellier (co-director) and Adrien Krähenbühl (supervisor).

• "Diagnostical biomarkers in multimodal brain MRI of Lewy body disease and Alzheimer's disease", Thesis of Elena Chabran (2016-2019), Co-direction with Frédéric Blanc

• "Multivariate regression model for comparing populations in diffusion MRI", Thesis of Alix Bouchon (2012-2016), Co-supervision with Fabrice Heitz

• "Quantitative imaging of ventilation double-energy computed tomography", Thesis of Mickael Ohana (2013-2016), Co-supervision with Fabrice Heitz and Catherine Roy

• "Statistical approaches for change detection in diffusion MRI. Application to the longitudinal follow-up of neuro-degenerative pathologies", Thesis of Antoine Grigis (2009-2012), Co-supervision with Fabrice Heitz and Jean-Paul Armspach.

• "Automatic changes detection in diffusion MRI: Application to Multiple Sclerosis", Thesis of Hervé Boisgontier (2006-2010), Co-supervision with Fabrice Heitz and Jean-Paul Armspach.

Teaching

• Signal processing (1A/2A) at école Telecom Physique Strasbourg
• "Medical image devices " in the Master "Images, Robotique et Ingénierie du Vivant" (Strasbourg University)
• Lectures about "Image processing" at école Telecom Physique Strasbourg, TI santé degree
• Lectures about "Introduction to medical image processing" at école Telecom Physique Strasbourg, TI santé degree
• Lectures about "Medical image processing: methods and applications" at école Telecom Physique Strasbourg, TI santé degree