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Medical Image Analysis|November 5, 2013
A 3-D spatio-temporal deconvolution approach for MR perfusion in the brainCarole Frindel, Marc C Robini, David Rousseau
IEEE Transactions on Bio-Medical Engineering|January 24, 2017
Global Diffusion Tractography by Simulated AnnealingMarc C Robini, Matthew Ozon, Carole Frindel, et al.
Frontiers in Robotics and AI|January 27, 2021
Detecting Differences of Fluorescent Markers Distribution in Single Cell Microscopy: Textural or Pointillist Feature Space?Ali Ahmad, Carole Frindel, David Rousseau
Computers in Biology and Medicine|November 18, 2017
Image processing for precise three-dimensional registration and stitching of thick high-resolution laser-scanning microscopy image stacksChloé Murtin, Carole Frindel, David Rousseau, et al.
Magnetic Resonance in Medicine|December 27, 2016
Robustness of spatio-temporal regularization in perfusion MRI deconvolution: An application to acute ischemic strokeMathilde Giacalone, Carole Frindel, Marc Robini, et al.
Computers in Biology and Medicine|January 31, 2020
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute strokeNoëlie Debs, Pejman Rasti, Léon Victor, et al.
Optics Express|November 13, 2013
Information-based analysis of X-ray in-line phase tomography with application to the detection of iron oxide nanoparticles in the brainHugo Rositi, Carole Frindel, Max Langer, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke PatientsNima Hatami, Tae-Hee Cho, Laura Mechtouff, et al.
Medical Image Analysis|October 1, 2018
Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in strokeMathilde Giacalone, Pejman Rasti, Noelie Debs, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Self-supervised learning for stroke lesion segmentation on CT: a new pretext task for neuroimagingJuliette Moreau, Laura Mechtouff, David Rousseau, et al.
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