A global approach to cardiac tractography. - Carole Frindel; Joël Schaerer; Pierre Gueth; Patrick Clarysse; Yue-Min Zhu; Marc C. Robini (ISBI, 2008)

Cardiac Fibre Trace Clustering for the Interpretation of the Human Heart Architecture. - Carole Frindel; Marc C. Robini; Joël Schaerer; Pierre Croisille; Yue-Min Zhu (FIMH, 2009)

Improved global cardiac tractography with simulated annealing. - Carole Frindel; Marc C. Robini; Joël Schaerer; Pierre Croisille; Yue-Min Zhu (ICIP, 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)

Toward Temporal Fiber. - Matthew Ozon; Marc C. Robini; Pierre Croisille; Carole Frindel; Yue-Min Zhu (CinC, 2013)

A 3-D spatio-temporal deconvolution approach for MR perfusion in the brain. - Carole Frindel; Marc C. Robini; David Rousseau (Medical Image Anal., 2014)

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 (IWSSIP, 2015)

An unsupervised spatio-temporal regularization for perfusion MRI deconvolution in acute stroke. - Mathilde Giacalone; Carole Frindel; David Rousseau (EUSIPCO, 2016)

Interest of non-negativity constraint in perfusion DSC-MRI deconvolution for acute stroke. - Mathilde Giacalone; Carole Frindel; Marc C. Robini; David Rousseau (IWSSIP, 2016)

How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication? - Carole Frindel; David Rousseau (HealthyIoT, 2017)

A Secured Smartphone-Based Architecture for Prolonged Monitoring of Neurological Gait. - Pierre Gard; Lucie Lalanne; Alexandre Ambourg; David Rousseau; François Lesueur; Carole Frindel (HealthyIoT, 2017)

Multicomponent and Longitudinal Imaging Seen as a Communication Channel - An Application to Stroke. - Mathilde Giacalone; Carole Frindel; Emmanuel Grenier; David Rousseau (Entropy, 2017)

Global Diffusion Tractography by Simulated Annealing. - Marc C. Robini; Matthew Ozon; Carole Frindel; Feng Yang 010; Yue Min Zhu (IEEE Trans. Biomed. Eng., 2017)

Toward privacy in IoT mobile devices for activity recognition. - Théo Jourdan; Antoine Boutet; Carole Frindel (MobiQuitous, 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)

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)

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)

Approche computationnelle de l'imagerie médicale : application en neurosciences. - Carole Frindel (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 (SASHIMI@MICCAI, 2019)

Motion sensor data anonymization by time-frequency filtering. - Noëlie Debs; Théo Jourdan; Ali Moukadem; Antoine Boutet; Carole Frindel (EUSIPCO, 2020)

Sorting cells from fluorescent markers organization in confocal microscopy: 3D versus 2D images. - Ali Ahmad 001; Carole Frindel; David Rousseau (IPTA, 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)

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)

Detecting Differences of Fluorescent Markers Distribution in Single Cell Microscopy: Textural or Pointillist Feature Space? - Ali Ahmad 001; 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; Rosin Claude Ngueveu (AsiaCCS, 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 (IWSSIP, 2021)

Privacy Assessment of Federated Learning Using Private Personalized Layers. - Théo Jourdan; Antoine Boutet; Carole Frindel (MLSP, 2021)

Anonymizing Motion Sensor Data Through Time-Frequency Domain. - Pierre Rougé; Ali Moukadem; Alain Dieterlen; Antoine Boutet; Carole Frindel (MLSP, 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)

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)

MicroVIP: Microscopy image simulation on the Virtual Imaging Platform. - Ali Ahmad 001; Guillaume Vanel; Sorina Camarasu-Pop; Axel Bonnet; Carole Frindel; David Rousseau (SoftwareX, 2021)

A Software to Visualize, Edit, Model and Mesh Vascular Networks. - Méghane Decroocq; Guillaume Lavoué; Makoto Ohta; Carole Frindel (EMBC, 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 (EMBC, 2022)

Modeling and hexahedral meshing of arterial networks from centerlines. - Méghane Decroocq; Carole Frindel; Makoto Ohta; Guillaume Lavoué (CoRR, 2022)

Towards an evolution in the characterization of the risk of re-identification of medical images. - Antoine Boutet; Carole Frindel; Mohamed Maouche (IEEE Big Data, 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 (ISBI, 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 (ISBI, 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 (ISBI, 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., 2023)

Modeling and hexahedral meshing of cerebral arterial networks from centerlines. - Méghane Decroocq; Carole Frindel; Pierre Rougé; Makoto Ohta; Guillaume Lavoué (Medical Image Anal., 2023)

Deep Vessel Segmentation Based on a New Combination of Vesselness Filters. - Guillaume Garret; Antoine Vacavant; Carole Frindel (ISBI, 2024)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)

Fusion of Dwi Image and Clinical Variables for Stroke Outcome Prediction Using Tabular Transformer. - Mingtian Liu; Nima Hatami; Laura Mechtouff; Tae-Hee Cho; Carole Lartizien; Carole Frindel (ISBI, 2025)

Lesion-Centered Vision Transformer for Stroke Outcome Prediction from Image and Clinical Data. - Mingtian Liu; Nima Hatami; Laura Mechtouff; Tae-Hee Cho; Carole Lartizien; Carole Frindel (MICCAI (15), 2025)

Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Framework. - Guillaume Garret; Antoine Vacavant; Carole Frindel (CoRR, 2025)