SSE#16 - Registration Form for the Manutech-SLEIGHT consortium members

LAST NAME (*)

First Name (*)

E-mail address (*)

Status (*) Select into the list Master student PhD student Post-doctoral fellow Academic Private Administration

Institution (*) Select into the list Université de Lyon Université Jean Monnet INSA Lyon MINES Saint-Etienne IOGS - Institut d'Optique Graduate School Université Claude Bernard Lyon 1 Ecole Centrale de Lyon - ENISE CNRS INSERM HEF Groupe Manutech USD Keranova

Laboratory / Master of the Manutech-SLEIGHT Graduate School (*) Select into the list Laboratoire Hubert Curien SAINBIOSE LGF MATEIS CREATIS LaMCoS LTDS BIIO IREIS - HEF Groupe GIE Manutech USD Keranova Other Master OIVM - iPSRS Master OIVM - RADMEP Master OIVM - COSI Master OIVM - IMLEX Master OIVM - PE Master OIVM - AIMA Master CS - MLDM Master CS - DSC Master Health Engineering - BME Student engineer at INSA Lyon Student engineer at IOGS

SSE16 Booklet - for ethical and ecological reasons, please avoid the printed version. If you really need it, we will print it for you! (*) Select into the list Digital booklet Printed booklet

Monday, July 6th 2026: select the session(s) you wish to attend - Sessions A1 to A6 Session A1 - Welcome session
Session A2 - Introduction to deep learning for medical and biomedical images
Session A3 - Lunch break
Session A4 - Junior Scientists Session
Session A5 - Semi/self supervised Approaches for medical image analysis
Session A6 - Practical Session: From pixels to predictions: practical deep learning for medical and biomedical images

Tuesday, July 7th 2026: select the session(s) you wish to attend - Sessions B1 to B7 Session B1 - Transfer learning, domain adaptation - Foundation models
Session B2 - Data Generation, diffusion models and flow matching
Session B3 - Lunch Break
Session B4 - Junior Scientists Session
Session B5 - Physics-informed Neural Networks - PINNs
Session B6 - Practical session - PINNs
Session B7 - Afterwork at La Fabuleuse Cantine

Wednesday, July 8th 2026: select the session(s) you wish to attend - Sessions C1 to C6 Session C1 - Deep Learning-Based Video and Spatio-Temporal Analysis for Medical and Biomedical Images/ Medical Digital Twins: Concepts, Ai, and Challenges
Session C2 - Industrial Session: Industrial applications and use cases of AI for medical and biomedical image analysis: Digital twins
Session C3 - Award Ceremony
Session C4 - Lunch Break
Session C5 - Deep networks uncertainties and interpretability for medical image and signal analysis.
Session C6 - Practical session - Explainability

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