Carole Frindel

According to our database, Carole Frindel authored at least 41 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.

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

CoRR, 2024

Deep vessel segmentation based on a new combination of vesselness filters.

Guillaume Garret, Antoine Vacavant, Carole Frindel

CoRR, 2024

2023

Modeling and hexahedral meshing of cerebral arterial networks from centerlines.

Méghane Decroocq, Carole Frindel, Pierre Rougé, Makoto Ohta, Guillaume Lavoué

Medical Image Anal., October, 2023

Generalizable Features for Anonymizing Motion Signals Based on the Zeros of the Short-Time Fourier Transform.

Pierre Rougé, Ali Moukadem, Alain Dieterlen, Antoine Boutet, Carole Frindel

J. Signal Process. Syst., January, 2023

Difficulty Metrics Study for Curriculum-Based Deep Learning in the Context of Stroke Lesion Segmentation.

Juliette Moreau, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Reproducibility of Tumor Segmentation Outcomes with a Deep Learning Model.

Morgane Des Ligneris, Axel Bonnet, Yohan Chatelain, Tristan Glatard, Michaël Sdika, Gaël Vila, Valentine Wargnier-Dauchelle, Sorina Camarasu-Pop, Carole Frindel

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data.

Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Towards an evolution in the characterization of the risk of re-identification of medical images.

Antoine Boutet, Carole Frindel, Mohamed Maouche

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Modeling and hexahedral meshing of arterial networks from centerlines.

Méghane Decroocq, Carole Frindel, Makoto Ohta, Guillaume Lavoué

CoRR, 2022

CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients.

Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Software to Visualize, Edit, Model and Mesh Vascular Networks.

Méghane Decroocq, Guillaume Lavoué, Makoto Ohta, Carole Frindel

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

MicroVIP: Microscopy image simulation on the Virtual Imaging Platform.

Ali Ahmad, Guillaume Vanel, Sorina Camarasu-Pop, Axel Bonnet, Carole Frindel, David Rousseau

SoftwareX, 2021

The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review.

Théo Jourdan, Noëlie Debs, Carole Frindel

Sensors, 2021

Privacy-preserving IoT Framework for Activity Recognition in Personal Healthcare Monitoring.

Théo Jourdan, Antoine Boutet, Amine Bahi, Carole Frindel

ACM Trans. Comput. Heal., 2021

Anonymizing Motion Sensor Data Through Time-Frequency Domain.

Pierre Rougé, Ali Moukadem, Alain Dieterlen, Antoine Boutet, Carole Frindel

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Privacy Assessment of Federated Learning Using Private Personalized Layers.

Théo Jourdan, Antoine Boutet, Carole Frindel

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Viewpoint Selection for Fibrous Structures in a Pre-operative Context: Application to Cranial Nerves Surrounding Skull Base Tumors.

Méghane Decroocq, Morgane Des Ligneris, Timothée Jacquesson, Carole Frindel

Proceedings of the Systems, Signals and Image Processing - 28th International Conference, 2021

DySan: Dynamically Sanitizing Motion Sensor Data Against Sensitive Inferences through Adversarial Networks.

Antoine Boutet, Carole Frindel, Sébastien Gambs, Théo Jourdan, Rosin Claude Ngueveu

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

2020

Detecting Differences of Fluorescent Markers Distribution in Single Cell Microscopy: Textural or Pointillist Feature Space?

Ali Ahmad, Carole Frindel, David Rousseau

Frontiers Robotics AI, 2020

DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks.

Antoine Boutet, Carole Frindel, Sébastien Gambs, Théo Jourdan, Claude Rosin Ngueveu

CoRR, 2020

Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke.

Noëlie Debs, Pejman Rasti, Léon Victor, Tae-Hee Cho, Carole Frindel, David Rousseau

Comput. Biol. Medicine, 2020

Sorting cells from fluorescent markers organization in confocal microscopy: 3D versus 2D images.

Ali Ahmad, Carole Frindel, David Rousseau

Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Motion sensor data anonymization by time-frequency filtering.

Noëlie Debs, Théo Jourdan, Ali Moukadem, Antoine Boutet, Carole Frindel

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network.

Noëlie Debs, Méghane Decroocq, Tae-Hee Cho, David Rousseau, Carole Frindel

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

2018

Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke.

Mathilde Giacalone, Pejman Rasti, Noëlie Debs, Carole Frindel, Tae-Hee Cho, Emmanuel Grenier, David Rousseau

Medical Image Anal., 2018

Transfer Learning from Synthetic Data Applied to Soil-Root Segmentation in X-Ray Tomography Images.

Clément Douarre, Richard Schielein, Carole Frindel, Stefan Gerth, David Rousseau

J. Imaging, 2018

Image processing for precise three-dimensional registration and stitching of thick high-resolution laser-scanning microscopy image stacks.

Chloé Murtin, Carole Frindel, David Rousseau, Kei Ito

Comput. Biol. Medicine, 2018

Toward privacy in IoT mobile devices for activity recognition.

Théo Jourdan, Antoine Boutet, Carole Frindel

Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

2017

Global Diffusion Tractography by Simulated Annealing.

Marc C. Robini, Matthew Ozon, Carole Frindel, Feng Yang, Yue Min Zhu

IEEE Trans. Biomed. Eng., 2017

Multicomponent and Longitudinal Imaging Seen as a Communication Channel - An Application to Stroke.

Mathilde Giacalone, Carole Frindel, Emmanuel Grenier, David Rousseau

Entropy, 2017

A Secured Smartphone-Based Architecture for Prolonged Monitoring of Neurological Gait.

Pierre Gard, Lucie Lalanne, Alexandre Ambourg, David Rousseau, François Lesueur, Carole Frindel

Proceedings of the Internet of Things (IoT) Technologies for HealthCare, 2017

How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication?

Carole Frindel, David Rousseau

Proceedings of the Internet of Things (IoT) Technologies for HealthCare, 2017

2016

Interest of non-negativity constraint in perfusion DSC-MRI deconvolution for acute stroke.

Mathilde Giacalone, Carole Frindel, Marc C. Robini, David Rousseau

Proceedings of the International Conference on Systems, Signals and Image Processing, 2016

An unsupervised spatio-temporal regularization for perfusion MRI deconvolution in acute stroke.

Mathilde Giacalone, Carole Frindel, David Rousseau

Proceedings of the 24th European Signal Processing Conference, 2016

2015

A longitudinal model for variations detection in white matter fiber-bundles.

Claudio Stamile, Gabriel Kocevar, François Cotton, Salem Hannoun, Françoise Durand-Dubief, Carole Frindel, David Rousseau, Dominique Sappey-Marinier

Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

2014

A 3-D spatio-temporal deconvolution approach for MR perfusion in the brain.

Carole Frindel, Marc C. Robini, David Rousseau

Medical Image Anal., 2014

2013

Toward Temporal Fiber.

Matthew Ozon, Marc C. Robini, Pierre Croisille, Carole Frindel, Yue-Min Zhu

Proceedings of the Computing in Cardiology, 2013

2009

Comparison of regularization methods for human cardiac diffusion tensor MRI.

Carole Frindel, Marc C. Robini, Pierre Croisille, Yue-Min Zhu

Medical Image Anal., 2009

Improved global cardiac tractography with simulated annealing.

Carole Frindel, Marc C. Robini, Joël Schaerer, Pierre Croisille, Yue-Min Zhu

Proceedings of the International Conference on Image Processing, 2009

Cardiac Fibre Trace Clustering for the Interpretation of the Human Heart Architecture.

Carole Frindel, Marc C. Robini, Joël Schaerer, Pierre Croisille, Yue-Min Zhu

Proceedings of the Functional Imaging and Modeling of the Heart, 2009

2008

A global approach to cardiac tractography.

Carole Frindel, Joël Schaerer, Pierre Gueth, Patrick Clarysse, Yue-Min Zhu, Marc C. Robini

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008