Évaluation physique et émotionnelle des exercices de rééducation via apprentissage profond

Stage M2 / Ingénieur Dans le domaine des soins de santé, les exercices de rééducation physique sont essentiels pour la récupération post-opératoire et la gestion des troubles musculo-squelettiques [1,2]. Toutefois, la réussite de ces exercices ne dépend pas seulement de leur exécution correcte. L’expérience émotionnelle et physique des patients joue…

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Comparaison d’images texturées par Carte de Dissimilarités Locales – Application aux images médicales

Stage M2 Contexte Le CReSTIC a développé un outil dédié à la comparaison d’images numériques, permettant la détection, la localisation et la quantification des écarts entre deux images : la Carte des Dissimilarités Locales (CDL) [1]. En l’état, la CDL est capable de mesurer avec efficacité des dissimilarités locales entre…

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Quantifying Multiple Sclerosis Progression with Deep Learning

Multiple Sclerosis (MS) is the most widely prevalent chronic disabling disease affecting the central nervous system in young adults. The diagnosis of MS remains largely guided by clinical expertise, as opposed to laboratory findings. Investigations via magnetic resonance imaging (MRI) help by providing diagnostic support and deeper insights. The use…

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Prompt Engineering for Visual Language Foundation Models

Stage M2 The internship will take place in the Laboratory of Medical Information Processing (LaTIM- INSERM UMR 1101). It will be conducted within the framework of the LabCOM ADMIRE, a research unit created by Evolucare Technologies and LaTIM (https://anr.fr/Projet-ANR-19-LCV2-0005). Context The joint collaboration between LaTIM and Evolucare Technologies resulted in…

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Modeling the evolution of Age-related Macular Degeneration using AI

Required background: Ongoing M2 or ING3 in Image Processing, Artificial Intelligence, Machine Learning, Deep Learning Place of internship: ISEP campus at Issy-Les-Moulineaux (Subway “Corentin Celton” on line 12). Occasional meetings at Paris 15-20 Hospital (Paris, 75012). Internship beginning: February 2024 Internship duration: 5 to 6 months Salary: 440€/month Application Contact…

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Improving the Robustness of Unexpected Obstacle Detection Models in Autonomous Driving Systems /Amélioration de la Robustesse des Modèles de Détection d’Obstacles inattendus dans les Systèmes de Conduite Autonome

Stage M2 Contact: isetitra@utc.fr. Autonomous driving systems heavily depend on effective environmental perception, particularly in the area of object detection. Although YOLO (You Only Look Once) models [1][2][3] have established themselves as a standard for real-time object detection due to their balance between accuracy and speed, they show limitations when…

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Unrolled proximal algorithms for estimating the reproduction number of Covid-19 pandemic

Stage M Master internship of 4 to 6 months in 2025 located at Laboratoire des Sciences du Numérique de Nantes (LS2N). Supervision and contact: Barbara Pascal (barbara.pascal@cnrs.fr) and Sébastien Bourguignon (sebastien.bourguignon@ec-nantes.fr). Application: Send a CV, master grades, references and motivations to B. Pascal and S. Bourguignon.   Epidemics, striking heavily…

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Unbalanced Optimal Transport-based regularization – Application to inverse problems in epidemiology

Master internship of 4 to 6 months in 2025 located at Laboratoire des Sciences du Numérique de Nantes (LS2N). Supervision and contact: Barbara Pascal (barbara.pascal@cnrs.fr) and Jérôme Idier (jerome.idier@ls2n.fr). Application: Send a CV, master grades, references and motivations to B. Pascal and J. Idier. Epidemic monitoring is a burning issue…

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Leveraging matrix-variate distributions for ultrasound imaging

Stage M2 / Ingénieur Annonce complète : https://www.creatis.insa-lyon.fr/site/fr/node/47662 Leveraging matrix-variate distributions for ultrasound imaging Context Cardiovascular diseases cause more than half of all deaths across Europe and around one-third globally. It is thus crucial to develop diagnostic tools to improve how patients with these diseases are cared for. This internship…

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