Michaël Sdika

According to our database, Michaël Sdika authored at least 30 papers between 2006 and 2024.

Collaborative distances:

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

2024

An Explicit Estimated Baseline Model for Robust Estimation of Fluorophores Using Multiple-Wavelength Excitation Fluorescence Spectroscopy.

Arthur Gautheron, Michaël Sdika, Mathieu Hébert, Bruno Montcel

IEEE Trans. Biomed. Eng., January, 2024

2023

A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection.

Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika

IEEE Trans. Medical Imaging, November, 2023

Intraoperative identification of functional brain areas with RGB imaging using statistical parametric mapping: Simulation and clinical studies.

Charly Caredda, Eric Van Reeth, Laurent Mahieu-Williame, Raphaël Sablong, Michaël Sdika, Fabien C. Schneider, Thiébaud Picart, Jacques Guyotat, Bruno Montcel

NeuroImage, September, 2023

Robust Unsupervised Image to Template Registration Without Image Similarity Loss.

Slim Hachicha, Célia Le, Valentine Wargnier-Dauchelle, Michaël Sdika

Proceedings of the Medical Image Learning with Limited and Noisy Data, 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

2021

Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN.

Matthieu Martin, Bruno Sciolla, Michaël Sdika, Philippe Quetin, Philippe Delachartre

Comput. Biol. Medicine, 2021

A More Interpretable Classifier For Multiple Sclerosis.

Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019

Diffeomorphic B-spline vector fields with a tractable set of inequalities.

Michaël Sdika

Math. Comput., 2019

Repetitive motion compensation for real time intraoperative video processing.

Michaël Sdika, Laure Alston, David Rousseau, Jacques Guyotat, Laurent Mahieu-Williame, Bruno Montcel

Medical Image Anal., 2019

Removing segmentation inconsistencies with semi-supervised non-adjacency constraint.

Pierre-Antoine Ganaye, Michaël Sdika, Bill Triggs, Hugues Benoit-Cattin

Medical Image Anal., 2019

Corrigendum to "Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy" [Comput. Biol. Med. 110 (2019) 108-119].

Clément Daviller, Thomas Grenier, Hélène Ratiney, Michaël Sdika, Pierre Croisille, Magalie Viallon

Comput. Biol. Medicine, 2019

Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy.

Clément Daviller, Thomas Grenier, Hélène Ratiney, Michaël Sdika, Pierre Croisille, Magalie Viallon

Comput. Biol. Medicine, 2019

2018

Automatic spinal cord localization, robust to MRI contrasts using global curve optimization.

Charley Gros, Benjamin De Leener, Sara M. Dupont, Allan R. Martin, Michael G. Fehlings, Rohit Bakshi, Subhash Tummala, Vincent Auclair, Donald G. McLaren, Virginie Callot, Julien Cohen-Adad, Michaël Sdika

Medical Image Anal., 2018

Magnetic Resonance Spectroscopy Quantification Using Deep Learning.

Nima Hatami, Michaël Sdika, Hélène Ratiney

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Semi-supervised Learning for Segmentation Under Semantic Constraint.

Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Towards integrating spatial localization in convolutional neural networks for brain image segmentation.

Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization.

Charley Gros, Benjamin De Leener, Sara M. Dupont, Allan R. Martin, Michael G. Fehlings, Rohit Bakshi, Subhash Tummala, Vincent Auclair, Donald G. McLaren, Virginie Callot, Michaël Sdika, Julien Cohen-Adad

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Individual muscle segmentation in MR images: A 3D propagation through 2D non-linear registration approaches.

Augustin Ogier, Michaël Sdika, Alexandre Foure, Arnaud Le Troter, David Bendahan

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Robust real time motion compensation for intraoperative video processing during neurosurgery.

Michaël Sdika, Laure Alston, Laurent Mahieu-Williame, Jacques Guyotat, David Rousseau, Bruno Montcel

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

A reliable spatially normalized template of the human spinal cord - Applications to automated white matter/gray matter segmentation and tensor-based morphometry (TBM) mapping of gray matter alterations occurring with age.

Manuel Taso, Arnaud Le Troter, Michaël Sdika, Julien Cohen-Adad, Pierre Jean Arnoux, Maxime Guye, Jean-Philippe Ranjeva, Virginie Callot

NeuroImage, 2015

Multiple labels point-set registration.

Eric Van Reeth, Michaël Sdika, Pierre-Hervé Luppi, Paul-Antoine Libourel, Olivier Beuf

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Framework for integrated MRI average of the spinal cord white and gray matter: The MNI-Poly-AMU template.

Vladimir S. Fonov, Arnaud Le Troter, Manuel Taso, Benjamin De Leener, G. Lévêque, M. Benhamou, Michaël Sdika, Habib Benali, Pierre-Franois Pradat, D. Louis Collins, Virginie Callot, Julien Cohen-Adad

NeuroImage, 2014

Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases.

Razmig Kéchichian, Sébastien Valette, Michaël Sdika, Michel Desvignes

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

2013

A Sharp Sufficient Condition for B-Spline Vector Field Invertibility. Application to Diffeomorphic Registration and Interslice Interpolation.

Michaël Sdika

SIAM J. Imaging Sci., 2013

2010

Bootstrap quantification of cardiac pulsation artifact in DTI.

SungWon Chung, Blandine Courcot, Michaël Sdika, Kristin Moffat, Caroline D. Rae, Roland G. Henry

NeuroImage, 2010

Combining atlas based segmentation and intensity classification with nearest neighbor transform and accuracy weighted vote.

Michaël Sdika

Medical Image Anal., 2010

2008

A Fast Nonrigid Image Registration With Constraints on the Jacobian Using Large Scale Constrained Optimization.

Michaël Sdika

IEEE Trans. Medical Imaging, 2008

Whole brain voxel-wise analysis of single-subject serial DTI by permutation testing.

SungWon Chung, Daniel Pelletier, Michaël Sdika, Ying Lu, Jeffrey I. Berman, Roland G. Henry

NeuroImage, 2008

Effective voigt model estimation using multiple random starting values and parameter bounds settings for in vivo hepatic 1H magnetic resonance spectroscopic data.

Hélène Ratiney, Adriana Bucur, Michaël Sdika, Olivier Beuf, Franck Pilleul, Sophie Cavassila

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

2006

Boundary conditions for Young-van Vliet recursive filtering.

Bill Triggs, Michaël Sdika

IEEE Trans. Signal Process., 2006