Carole Frindel

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 38

Top Topics

Tumor Segmentation

Ischemic Stroke

Top Venues

Medical Image Anal.

Publications

Guillaume Garret, Antoine Vacavant, Carole Frindel
Deep vessel segmentation based on a new combination of vesselness filters. CoRR (2024)
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 (2024)
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) (2023)
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 (2023)
Méghane Decroocq, Carole Frindel, Pierre Rougé, Makoto Ohta, Guillaume Lavoué
Modeling and hexahedral meshing of cerebral arterial networks from centerlines. Medical Image Anal. 89 (2023)
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)
Antoine Boutet, Carole Frindel, Mohamed Maouche
Towards an evolution in the characterization of the risk of re-identification of medical images. BigData (2023)
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)
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)
Méghane Decroocq, Carole Frindel, Makoto Ohta, Guillaume Lavoué
Modeling and hexahedral meshing of arterial networks from centerlines. CoRR (2022)
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)
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 (2022)
Méghane Decroocq, Guillaume Lavoué, Makoto Ohta, Carole Frindel
A Software to Visualize, Edit, Model and Mesh Vascular Networks. EMBC (2022)
Pierre Rougé, Ali Moukadem, Alain Dieterlen, Antoine Boutet, Carole Frindel
Anonymizing Motion Sensor Data Through Time-Frequency Domain. MLSP (2021)
Ali Ahmad, Guillaume Vanel, Sorina Camarasu-Pop, Axel Bonnet, Carole Frindel, David Rousseau
MicroVIP: Microscopy image simulation on the Virtual Imaging Platform. SoftwareX 16 (2021)
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) (2021)
Théo Jourdan, Antoine Boutet, Carole Frindel
Privacy Assessment of Federated Learning Using Private Personalized Layers. MLSP (2021)
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)
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) (2021)
Théo Jourdan, Antoine Boutet, Carole Frindel
Privacy Assessment of Federated Learning using Private Personalized Layers. CoRR (2021)
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)
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 (2020)
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 (2020)
Antoine Boutet, Carole Frindel, Sébastien Gambs, Théo Jourdan, Claude Rosin Ngueveu
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks. CoRR (2020)
Ali Ahmad, Carole Frindel, David Rousseau
Sorting cells from fluorescent markers organization in confocal microscopy: 3D versus 2D images. IPTA (2020)
Noëlie Debs, Théo Jourdan, Ali Moukadem, Antoine Boutet, Carole Frindel
Motion sensor data anonymization by time-frequency filtering. EUSIPCO (2020)
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)
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) (2018)
Théo Jourdan, Antoine Boutet, Carole Frindel
Toward privacy in IoT mobile devices for activity recognition. MobiQuitous (2018)
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 (2018)
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 (2018)
Carole Frindel, David Rousseau
How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication? HealthyIoT (2017)
Mathilde Giacalone, Carole Frindel, Emmanuel Grenier, David Rousseau
Multicomponent and Longitudinal Imaging Seen as a Communication Channel - An Application to Stroke. Entropy 19 (5) (2017)
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)
Marc C. Robini, Matthew Ozon, Carole Frindel, Feng Yang, Yue Min Zhu
Global Diffusion Tractography by Simulated Annealing. IEEE Trans. Biomed. Eng. 64 (3) (2017)
Mathilde Giacalone, Carole Frindel, Marc C. Robini, David Rousseau
Interest of non-negativity constraint in perfusion DSC-MRI deconvolution for acute stroke. IWSSIP (2016)
Mathilde Giacalone, Carole Frindel, David Rousseau
An unsupervised spatio-temporal regularization for perfusion MRI deconvolution in acute stroke. EUSIPCO (2016)
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)
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) (2014)
Matthew Ozon, Marc C. Robini, Pierre Croisille, Carole Frindel, Yue-Min Zhu
Toward Temporal Fiber. CinC (2013)
Carole Frindel, Marc C. Robini, Joël Schaerer, Pierre Croisille, Yue-Min Zhu
Improved global cardiac tractography with simulated annealing. ICIP (2009)
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)
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) (2009)
Carole Frindel, Joël Schaerer, Pierre Gueth, Patrick Clarysse, Yue-Min Zhu, Marc C. Robini
A global approach to cardiac tractography. ISBI (2008)