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2020 – today
- 2023
[j13]Pierre Rougé
, Ali Moukadem, Alain Dieterlen, Antoine Boutet, Carole Frindel:
Generalizable Features for Anonymizing Motion Signals Based on the Zeros of the Short-Time Fourier Transform. J. Signal Process. Syst. 95(1): 89-99 (2023)- [i5]Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel:
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data. CoRR abs/2303.09484 (2023) - 2022
- [c19]Méghane Decroocq, Guillaume Lavoué, Makoto Ohta, Carole Frindel:
A Software to Visualize, Edit, Model and Mesh Vascular Networks. EMBC 2022: 2208-2214 - [c18]Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel:
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients. EMBC 2022: 3430-3434 - [i4]Méghane Decroocq, Carole Frindel, Makoto Ohta, Guillaume Lavoué:
Modeling and hexahedral meshing of arterial networks from centerlines. CoRR abs/2201.08279 (2022) - [i3]Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel:
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients. CoRR abs/2205.05545 (2022) - 2021
- [j12]Théo Jourdan, Antoine Boutet, Amine Bahi, Carole Frindel:
Privacy-preserving IoT Framework for Activity Recognition in Personal Healthcare Monitoring. ACM Trans. Comput. Heal. 2(1): 3:1-3:22 (2021) - [j11]Théo Jourdan, Noëlie Debs, Carole Frindel:
The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review. Sensors 21(14): 4808 (2021) - [j10]Ali Ahmad, Guillaume Vanel, Sorina Camarasu-Pop, Axel Bonnet, Carole Frindel, David Rousseau:
MicroVIP: Microscopy image simulation on the Virtual Imaging Platform. SoftwareX 16: 100854 (2021) - [c17]Antoine Boutet, Carole Frindel, Sébastien Gambs, Théo Jourdan, Rosin Claude Ngueveu:
DySan: Dynamically Sanitizing Motion Sensor Data Against Sensitive Inferences through Adversarial Networks. AsiaCCS 2021: 672-686 - [c16]Méghane Decroocq, Morgane Des Ligneris, Timothée Jacquesson, Carole Frindel:
Viewpoint Selection for Fibrous Structures in a Pre-operative Context: Application to Cranial Nerves Surrounding Skull Base Tumors. IWSSIP 2021: 53-64 - [c15]Théo Jourdan, Antoine Boutet, Carole Frindel:
Privacy Assessment of Federated Learning Using Private Personalized Layers. MLSP 2021: 1-6 - [c14]Pierre Rougé, Ali Moukadem, Alain Dieterlen, Antoine Boutet, Carole Frindel:
Anonymizing Motion Sensor Data Through Time-Frequency Domain. MLSP 2021: 1-6 - [i2]Théo Jourdan, Antoine Boutet, Carole Frindel:
Privacy Assessment of Federated Learning using Private Personalized Layers. CoRR abs/2106.08060 (2021) - 2020
- [j9]Noëlie Debs, Pejman Rasti, Léon Victor, Tae-Hee Cho, Carole Frindel, David Rousseau:
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke. Comput. Biol. Medicine 116: 103579 (2020) - [j8]Ali Ahmad, Carole Frindel, David Rousseau:
Detecting Differences of Fluorescent Markers Distribution in Single Cell Microscopy: Textural or Pointillist Feature Space? Frontiers Robotics AI 7: 39 (2020) - [c13]Noëlie Debs, Théo Jourdan, Ali Moukadem, Antoine Boutet, Carole Frindel:
Motion sensor data anonymization by time-frequency filtering. EUSIPCO 2020: 1707-1711 - [c12]Ali Ahmad, Carole Frindel, David Rousseau:
Sorting cells from fluorescent markers organization in confocal microscopy: 3D versus 2D images. IPTA 2020: 1-6 - [i1]Antoine Boutet, Carole Frindel, Sébastien Gambs, Théo Jourdan, Claude Rosin Ngueveu:
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks. CoRR abs/2003.10325 (2020)
2010 – 2019
- 2019
- [c11]Noëlie Debs, Méghane Decroocq, Tae-Hee Cho, David Rousseau, Carole Frindel:
Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network. SASHIMI@MICCAI 2019: 151-160 - 2018
- [j7]Chloé Murtin, Carole Frindel, David Rousseau, Kei Ito:
Image processing for precise three-dimensional registration and stitching of thick high-resolution laser-scanning microscopy image stacks. Comput. Biol. Medicine 92: 22-41 (2018) - [j6]Clément Douarre, Richard Schielein, Carole Frindel, Stefan Gerth, David Rousseau:
Transfer Learning from Synthetic Data Applied to Soil-Root Segmentation in X-Ray Tomography Images. J. Imaging 4(5): 65 (2018) - [j5]Mathilde Giacalone, Pejman Rasti, Noëlie Debs, Carole Frindel, Tae-Hee Cho, Emmanuel Grenier, David Rousseau:
Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke. Medical Image Anal. 50: 117-126 (2018) - [c10]Théo Jourdan, Antoine Boutet, Carole Frindel:
Toward privacy in IoT mobile devices for activity recognition. MobiQuitous 2018: 155-165 - 2017
- [j4]Mathilde Giacalone, Carole Frindel, Emmanuel Grenier, David Rousseau:
Multicomponent and Longitudinal Imaging Seen as a Communication Channel - An Application to Stroke. Entropy 19(5): 187 (2017) - [j3]Marc C. Robini, Matthew Ozon, Carole Frindel, Feng Yang, Yue Min Zhu:
Global Diffusion Tractography by Simulated Annealing. IEEE Trans. Biomed. Eng. 64(3): 649-660 (2017) - [c9]Pierre Gard, Lucie Lalanne, Alexandre Ambourg, David Rousseau, François Lesueur, Carole Frindel:
A Secured Smartphone-Based Architecture for Prolonged Monitoring of Neurological Gait. HealthyIoT 2017: 3-9 - [c8]Carole Frindel, David Rousseau:
How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication? HealthyIoT 2017: 19-25 - 2016
- [c7]Mathilde Giacalone, Carole Frindel, David Rousseau:
An unsupervised spatio-temporal regularization for perfusion MRI deconvolution in acute stroke. EUSIPCO 2016: 1708-1712 - [c6]Mathilde Giacalone, Carole Frindel, Marc C. Robini, David Rousseau:
Interest of non-negativity constraint in perfusion DSC-MRI deconvolution for acute stroke. IWSSIP 2016: 1-4 - 2015
- [c5]Claudio Stamile, Gabriel Kocevar, François Cotton, Salem Hannoun, Françoise Durand-Dubief, Carole Frindel, David Rousseau, Dominique Sappey-Marinier:
A longitudinal model for variations detection in white matter fiber-bundles. IWSSIP 2015: 57-60 - 2014
- [j2]Carole Frindel, Marc C. Robini, David Rousseau:
A 3-D spatio-temporal deconvolution approach for MR perfusion in the brain. Medical Image Anal. 18(1): 144-160 (2014) - 2013
- [c4]Matthew Ozon, Marc C. Robini, Pierre Croisille, Carole Frindel, Yue-Min Zhu:
Toward Temporal Fiber. CinC 2013: 567-570
2000 – 2009
- 2009
- [j1]Carole Frindel, Marc C. Robini, Pierre Croisille, Yue-Min Zhu:
Comparison of regularization methods for human cardiac diffusion tensor MRI. Medical Image Anal. 13(3): 405-418 (2009) - [c3]Carole Frindel, Marc C. Robini, Joël Schaerer, Pierre Croisille, Yue-Min Zhu:
Cardiac Fibre Trace Clustering for the Interpretation of the Human Heart Architecture. FIMH 2009: 39-48 - [c2]Carole Frindel, Marc C. Robini, Joël Schaerer, Pierre Croisille, Yue-Min Zhu:
Improved global cardiac tractography with simulated annealing. ICIP 2009: 813-816 - 2008
- [c1]Carole Frindel, Joël Schaerer, Pierre Gueth, Patrick Clarysse, Yue-Min Zhu, Marc C. Robini:
A global approach to cardiac tractography. ISBI 2008: 883-886
Coauthor Index
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last updated on 2023-03-30 01:20 CEST by the dblp team
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