Carole Frindel

发表

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

Kei Ito, Chloé Murtin, David Rousseau, 2018, Comput. Biol. Medicine.

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

Carole Frindel, Noëlie Debs, Pejman Rasti, 2020, Comput. Biol. Medicine.

Toward privacy in IoT mobile devices for activity recognition

Antoine Boutet, Carole Frindel, Théo Jourdan, 2018, MobiQuitous.

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

Carole Frindel, Ali Ahmad, David Rousseau, 2020, 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Comparison of regularization methods for human cardiac diffusion tensor MRI

Pierre Croisille, Carole Frindel, Yue Min Zhu, 2009, Medical Image Anal..

On the Influence of Normalization Strategies for Perfusion MRI in Acute Stroke

David Rousseau, Carole Frindel, Mathilde Giacalone, 2017 .

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

Pierre Croisille, Carole Frindel, Yue Min Zhu, 2009, FIMH.

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

David Rousseau, Carole Frindel, Pejman Rasti, 2018, Medical Image Anal..

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

David Rousseau, Carole Frindel, Noëlie Debs, 2019, SASHIMI@MICCAI.

A Sensitive and Automatic White Matter Fiber Tracts Model for Longitudinal Analysis of Diffusion Tensor Images in Multiple Sclerosis

David Rousseau, Charles R. G. Guttmann, Carole Frindel, 2016, PloS one.

Machine learning-based prediction of glioma margin from 5-ALA induced PpIX fluorescence spectroscopy

Pierre-François Brevet, Carole Frindel, Laurent Mahieu-Williame, 2020, Scientific Reports.

Toward temporal fiber

Pierre Croisille, Carole Frindel, Yue Min Zhu, 2013, Computing in Cardiology 2013.

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

David Rousseau, Carole Frindel, Marc C. Robini, 2014, Medical Image Anal..

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

David Rousseau, Carole Frindel, Clément Douarre, 2018, J. Imaging.

Motion sensor data anonymization by time-frequency filtering

Antoine Boutet, Carole Frindel, Ali Moukadem, 2020, 2020 28th European Signal Processing Conference (EUSIPCO).

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

Antoine Boutet, Carole Frindel, S'ebastien Gambs, 2020, AsiaCCS.

On the use of image quality measures of multi-views in light sheet fluorescence 3D microscopy

David Rousseau, Andrea Bassi, Carole Frindel, 2018, Photonics Europe.

Improved global cardiac tractography with simulated annealing

Pierre Croisille, Carole Frindel, Yue Min Zhu, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

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

David Rousseau, Carole Frindel, Mathilde Giacalone, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

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

David Rousseau, Carole Frindel, Emmanuel Grenier, 2017, Entropy.

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

David Rousseau, Carole Frindel, François Lesueur, 2017, HealthyIoT.

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

Ali Ahmad, Carole Frindel, David Rousseau, 2020, Frontiers in Robotics and AI.

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

David Rousseau, Carole Frindel, Marc C. Robini, 2016, 2016 International Conference on Systems, Signals and Image Processing (IWSSIP).

Global Diffusion Tractography by Simulated Annealing

Yuemin Zhu, Feng Yang, Carole Frindel, 2017, IEEE Transactions on Biomedical Engineering.

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

David Rousseau, Carole Frindel, Claudio Stamile, 2015, 2015 International Conference on Systems, Signals and Image Processing (IWSSIP).

How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication?

David Rousseau, Carole Frindel, 2017, HealthyIoT.

A global approach to cardiac tractography

Patrick Clarysse, Carole Frindel, Yue Min Zhu, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Modeling and hexahedral meshing of arterial networks from centerlines

Carole Frindel, Makoto Ohta, M'eghane Decroocq, 2022, ArXiv.

A graph‐based approach for automatic cardiac tractography

Pierre Croisille, Carole Frindel, Yue-Min Zhu, 2010, Magnetic resonance in medicine.

Validity of Shape as a Predictive Biomarker of Final Infarct Volume in Acute Ischemic Stroke

Leif Østergaard, David Rousseau, Carole Frindel, 2015, Stroke.

Full tractography for detecting the position of cranial nerves in preoperative planning for skull base surgery: technical note.

Carole Frindel, Arnaud Attyé, Juan C Fernandez-Miranda, 2020, Journal of neurosurgery.

Robustness of spatio‐temporal regularization in perfusion MRI deconvolution: An application to acute ischemic stroke

David Rousseau, Carole Frindel, Frédéric Cervenansky, 2017, Magnetic resonance in medicine.

Overcoming Challenges of Cranial Nerve Tractography: A Targeted Review

Carole Frindel, Arnaud Attyé, Gabriel Kocevar, 2018, Neurosurgery.

Information-based analysis of X-ray in-line phase tomography with application to the detection of iron oxide nanoparticles in the brain.

Françoise Peyrin, David Rousseau, Carole Frindel, 2013, Optics express.