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Seminars - Examinations
Computational hyperspectral microscopy and machine learning enhanced spectroscopy
CĂ©dric RAY GARREAU
the Modesty Blaise room, ground floor of the Jules Verne building.
Reconstruction error to generate vascular malformation pre-segmentation
Antoine Fraissenon
salle E110 dans le bĂątiment INSA-GE
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Morgane des Ligneris
salle Bellecour CREATIS
subject and advances of their internship
Louise Bart, Amine Boukhari, Slim Hachicha et Axel Garcia
salle E110 dans le bĂątiment INSA-GE.
Quantitative ultrasound (QUS) markers in lung tissue
Marie Muller
salle René Descartes, Bùtiment R+1 Ada Lovelace
Study of semiconductor detectors for the Compton Camera in nuclear medicine; Image reconstruction with motion compensation for single-pixel camera
Nicolas Daire-Raymond, Thomas Maitre
salle Lucky Luke (au RDC dans le labo DISP).
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps,
Maylis Jouvencel
Salle Bellecour, CREATIS
subject and advances of their internship
Adrien Pertegas, Séréna Hariga, Anass Hameddine
salle E110 dans le bĂątiment INSA-GE.
Three-dimensional maps of the tomographic incompleteness of cone-beam CT scanner geometries
Matthieu Laurendeau
online zoom
Sondes et capteurs de champs électromagnétiques à liaisons optiques pour la sécurité en IRM
Paul Nobre
amphi ISTIL Ă Polytech sur le campus de la Doua
self-supervised learning for imaging inverse problems and a library DeepInverse.
Julian TACHELLA
amphi AE2 (bĂątiment GE-INSA).
Arterial pressure loss from vascular vector flow mapping with conventional color Doppler
Samaneh Choupani
salle René Descartes, R+1 Ada Lovelace
Probes and sensors of electromagnetic fields with optical links for safety in MRI
Paul Nobre
salle Lucky Luke, RDC Bat. Jules Verne.
KOLOR SPCCT Imaging: a paradigm shift in lung diseases imaging
Salim Si-Mohamed
amphi AE2 (amphi INSA GE)
Development of a centerline-based arterial network modeling and meshing framework for hemodynamic studies of cerebrovascular pathologies
MĂ©ghane DECROOCQ
la salle de la BU de Lyon 1
Leveraging Deep Learning to improve information extraction for FDG brain PET imaging
Anthime FLAUS
amphithéùtre du Neurocampus