C. Frindel

发表

Probabilistic Tractography to Predict the Position of Cranial Nerves Displaced by Skull Base Tumors: Value for Surgical Strategy Through a Case Series of 62 Patients.

F. Cotton, A. Attyé, T. Jacquesson, 2018, Neurosurgery.

Overcoming challenges of the human spinal cord tractography for routine clinical use: a review

P. Mertens, F. Cotton, T. Jacquesson, 2020, Neuroradiology.

Simulation of water diffusion through a simple virtual cardiac cell model: optimization of Monte Carlo parameters and observation by simulated MRI

I. Magnin, C. Frindel, Yuhan Jing, 2020, 2020 15th IEEE International Conference on Signal Processing (ICSP).

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

C. Frindel, L. Mechtouff, Tae-Hee Cho, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

On the robustness of machine learning algorithms toward microfluidic distortions for cell classification via on-chip fluorescence microscopy.

R. Osellame, A. Bassi, F. Bragheri, 2022, Lab on a chip.

Full cervical cord tractography: A new method for clinical use

J. Fernandez-Miranda, F. Yeh, F. Cotton, 2022, Frontiers in Neuroanatomy.

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

G. Lavoué, M. Ohta, C. Frindel, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Association of Blood Biomarkers of Inflammation With Penumbra Consumption After Mechanical Thrombectomy in Patients With Acute Ischemic Stroke

N. Mewton, N. Nighoghossian, C. Crola Da Silva, 2022, Neurology.

Overcoming Challenges of Cranial Nerve Tractography: A Targeted Review

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

Clearing spheroids for 3D fluorescent microscopy: combining safe and soft chemicals with deep convolutional neural network

G. Recher, C. Rivière, C. Frindel, 2021, bioRxiv.

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

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

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.

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.

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

B. Montcel, C. Frindel, P. Brevet, 2020, Scientific Reports.

Diffusion Tensor Imaging Tractography Detecting Isolated Oculomotor Nerve Damage After Traumatic Brain Injury.

F. Cotton, T. Jacquesson, C. Frindel, 2017, World neurosurgery.

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.

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.

Global Diffusion Tractography by Simulated Annealing

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

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..

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

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

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

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

Towards In Vivo Diffusion Tensor MRI on Human Heart using Edge-Preserving Regularization

Yue-Min Zhu, P. Croisille, C. Frindel, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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.

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

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

Impact of the reperfusion status for predicting the final stroke infarct using deep learning

N. Nighoghossian, M. Ovize, C. Frindel, 2020, NeuroImage: Clinical.

MRI Tractography Detecting Cranial Nerve Displacement in a Cystic Skull Base Tumor.

F. Cotton, T. Jacquesson, C. Frindel, 2018, World neurosurgery.

MicroVIP: Microscopy image simulation on the Virtual Imaging Platform

C. Frindel, Ali Ahmad, D. Rousseau, 2021, SoftwareX.

Effect of distortion corrections on the tractography quality in spinal cord diffusion‐weighted imaging

F. Cotton, E. Bannier, C. Frindel, 2021, Magnetic resonance in medicine.

Tractography-based surgical strategy for cavernoma of the conus medullaris: case illustration.

F. Cotton, C. Frindel, I. Pélissou-Guyotat, 2019, Journal of Neurosurgery : Spine.

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

C. Frindel, L. Mechtouff, Y. Berthezène, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

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.

Modeling and hexahedral meshing of cerebral arterial networks from centerlines

G. Lavoué, M. Ohta, C. Frindel, 2022, Medical Image Anal..

Modeling and hexahedral meshing of arterial networks from centerlines

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

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.

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..

Computer vision tools to optimize reconstruction parameters in x-ray in-line phase tomography

F Peyrin, H Rositi, C Frindel, 2014, Physics in medicine and biology.

5-ALA induced PpIX fluorescence guided surgery of gliomas: comparison of expert and machine learning based models

C. Frindel, J. Guyotat, P. Leclerc, 2020, BiOS.

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.

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

J. Baron, L. Østergaard, S. Pedraza, 2015, Stroke.

A graph‐based approach for automatic cardiac tractography

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

Improved global cardiac tractography with simulated annealing

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

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.

Deep learning based root-soil segmentation from X-ray tomography images

Clément DOUARRE, Richard SCHIELEIN, Carole FRINDEL, 2016, bioRxiv.

Monte Carlo simulation of water diffusion through cardiac tissue models.

I. Magnin, C. Frindel, Yuhan Jing, 2023, Medical Engineering and Physics.

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

C. Frindel, L. Mechtouff, Y. Berthezène, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).