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ORCIDCarole Frindel
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2020 – today
- 2024
[c24]Guillaume Garret, Antoine Vacavant, Carole Frindel:
Deep Vessel Segmentation Based on a New Combination of Vesselness Filters. ISBI 2024: 1-5- [i7]Guillaume Garret, Antoine Vacavant, Carole Frindel:
Deep vessel segmentation based on a new combination of vesselness filters. CoRR abs/2402.14509 (2024) - [i6]Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran
, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler:
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR abs/2403.19425 (2024) - 2023
- [j14]Méghane Decroocq, Carole Frindel, Pierre Rougé, Makoto Ohta, Guillaume Lavoué:
Modeling and hexahedral meshing of cerebral arterial networks from centerlines. Medical Image Anal. 89: 102912 (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) - [c23]Antoine Boutet, Carole Frindel, Mohamed Maouche:
Towards an evolution in the characterization of the risk of re-identification of medical images. IEEE Big Data 2023: 5454-5459 - [c22]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. ISBI 2023: 1-5 - [c21]Morgane Des Ligneris, Axel Bonnet, Yohan Chatelain, Tristan Glatard, Michaël Sdika, Gaël Vila, Valentine Wargnier-Dauchelle, Sorina Camarasu-Pop, Carole Frindel:
Reproducibility of Tumor Segmentation Outcomes with a Deep Learning Model. ISBI 2023: 1-5 - [c20]Juliette Moreau, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel:
Difficulty Metrics Study for Curriculum-Based Deep Learning in the Context of Stroke Lesion Segmentation. ISBI 2023: 1-5 - [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 2024-10-30 21:30 CET by the dblp team
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