[StageM2] MAPS-FM : Multi-Annotator-Aware Prostate Segmentation with Foundation Models for reliable and interpretable outcomes

Context Accurate segmentation of the prostate and its anatomical zones – Transitional Zone (TZ), Peripheral Zone (PZ), and the whole gland – from Magnetic Resonance (MR) images is essential for biopsy targeting, radiotherapy planning, and surgical decision-making. However, segmentation remains subjective: even experienced radiologists produce variable contours, particularly at the…

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[StageM2] Statistical Shape Models of the Lower Limb: Comparing Mesh Correspondence Methods 

Keywords: Medical Image Analysis, Statistical Shape Model, Mesh Correspondence, Artificial Intelligence, Multi-Object (tibia, muscle, skin) Born from the complementarity between the field of health and communication sciences, the LaTIM is a research lab which leads multidisciplinary research driven by scientists, engineers, and physicians from the University of Brest, IMT Atlantique,…

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[StageM2+PhD] Modeling Infant Visual Experience: Spatio-Temporal Analysis and Simulation of Visual Input Dynamics Using Deep Learning

Starting date: February/March 2026 Duration: 5–6 months Location: École Centrale de Lyon, 69130 Ecully, France Keywords: developmental cognitive science; computer vision; deep learning; SAYCam dataset. Funding: 650€ / month (net) PhD follow-up: Yes Required Skills • Python, PyTorch • Computer vision (OpenCV, YOLO, DETR) • Data analysis and visualization •…

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[Stage M2] Méthode primale-duale proximale pour l’estimation conjointe de l’objet et de paramètres inconnus en tomographie

Dans le cadre de l’utilisation durable et sûre de l’énergie nucléaire au service de la transition énergétique décarbonée, le réacteur de recherche Jules Horowitz, en cours de construction sur le site du CEA Cadarache, est un outil-clé pour l’étude du comportement des matériaux sous irradiation. Cette ligne d’imagerie présente des…

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[StageM2] Developing Convolutional Neural Networks (CNN) for Robust Radiomic Representations

GENERAL INFORMATION For more information, please contact:bmagnin@chu-clermontferrand.fr (B Magnin) Promotors: Benoît Magnin, radiologist in the University hospital of Clermont FerrandNavid Rabbani, computer science researcher in the DIA2M (AI research group of University hospital of Clermont Ferrand) Daily advisor: Benoît Magnin, Navid Rabbani Number of students: 1 Dates of internship : From 02/02/2026…

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[StageM2] Computational imaging dedicated to tomographic diffractive microscopy using deep learning techniques

Host laboratory: Laboratoire Hubert Curien (LaHC), 18 Rue Pr B. Lauras, 42000 SAINT-ÉTIENNE. Supervisor: Fabien Momey Casella (fabien.momey@univ-st-etienne.fr). Keywords: 3D (tomographic) image reconstruction, deep learning, equivariant imaging, numerical simulation, scientific programming with Matlab® and PyTorch, tomographic diffractive microscopy, biomedical applications. Duration: 6 months. Starting date: february/march 2026. Salary: ~ 600…

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[StageM2] Kalman Filtering on Manifolds for Covariance Matrix Estimation in Radio Astronomy

Keywords: radio astronomy, interferometry, manifold, statistical signal processing.PDF version : https://www.cyrilcano.fr/home/intership Scientific context Modern radio telescopes enable high-resolution imaging of astrophysical objects from interferometric measurements. A radio telescope, such as the Very Large Array [5], consists of an array of antennas spaced up to several kilometers apart — or even…

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[StageM2] Spatial analysis of micro-papillae on lotus leaves for optimized surface design

Le sujet est stage TFE/Master décrit dans le pdf ci-joint Starting date:   typically march 2026 Duration:         5/6 months Location:          École Centrale de Lyon, 69130 Ecully, France Keywords:        Bio-inspired surface, Image processing, Pattern recognition,                         Spatial distribution analysis/optimization, Voronoï surfaces Funding:           650€ / month (net) Candidate profile: The student must be enrolled in a Master’s program in…

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[StageM2/SFE] Analyse automatisée de spermogramme par IA à partir de vidéos microscopiques

IMT Atlantique et Cobalt Contraception proposent un stage de fin d’études intitulé « Analyse automatisée de spermogramme par IA à partir de vidéos microscopiques » ! Contexte La société Cobalt Contraception développe un dispositif innovant d’analyse automatisée de vidéos microscopiques d’échantillons de sperme, dans la perspective de concevoir un dispositif…

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