Michaël Sdika

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 23

Top Topics

Video Processing

Magnetic Resonance

Top Venues

Medical Image Anal.

Publications

Arthur Gautheron, Michaël Sdika, Mathieu Hébert, Bruno Montcel
An Explicit Estimated Baseline Model for Robust Estimation of Fluorophores Using Multiple-Wavelength Excitation Fluorescence Spectroscopy. IEEE Trans. Biomed. Eng. 71 (1) (2024)
Gaël Vila, Emmanuel Medernach, Inés Gonzalez Pepe, Axel Bonnet, Yohan Chatelain, Michaël Sdika, Tristan Glatard, Sorina Camarasu-Pop
The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging. ACM-REP (2024)
Charly Caredda, Eric Van Reeth, Laurent Mahieu-Williame, Raphaël Sablong, Michaël Sdika, Fabien C. Schneider, Thiébaud Picart, Jacques Guyotat, Bruno Montcel
Intraoperative identification of functional brain areas with RGB imaging using statistical parametric mapping: Simulation and clinical studies. NeuroImage 278 (2023)
Slim Hachicha, Célia Le, Valentine Wargnier-Dauchelle, Michaël Sdika
Robust Unsupervised Image to Template Registration Without Image Similarity Loss. MILLanD@MICCAI (2023)
Morgane Des Ligneris, Axel Bonnet, Yohan Chatelain, Tristan Glatard, Michaël Sdika, Gaël Vila, Valentine Wargnier-Dauchelle, Sorina Camarasu-Pop, Carole Frindel
Reproducibility of Tumor Segmentation Outcomes with a Deep Learning Model. ISBI (2023)
Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika
A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection. IEEE Trans. Medical Imaging 42 (11) (2023)
Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika
A More Interpretable Classifier For Multiple Sclerosis. ISBI (2021)
Matthieu Martin, Bruno Sciolla, Michaël Sdika, Philippe Quetin, Philippe Delachartre
Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN. Comput. Biol. Medicine 131 (2021)
Matthieu Martin, Bruno Sciolla, Michaël Sdika, Philippe Quetin, Philippe Delachartre
Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN. CoRR (2020)
Clément Daviller, Thomas Grenier, Hélène Ratiney, Michaël Sdika, Pierre Croisille, Magalie Viallon
Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy. Comput. Biol. Medicine 110 (2019)
Clément Daviller, Thomas Grenier, Hélène Ratiney, Michaël Sdika, Pierre Croisille, Magalie Viallon
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]. Comput. Biol. Medicine 114 (2019)
Michaël Sdika, Laure Alston, David Rousseau, Jacques Guyotat, Laurent Mahieu-Williame, Bruno Montcel
Repetitive motion compensation for real time intraoperative video processing. Medical Image Anal. 53 (2019)
Pierre-Antoine Ganaye, Michaël Sdika, Bill Triggs, Hugues Benoit-Cattin
Removing segmentation inconsistencies with semi-supervised non-adjacency constraint. Medical Image Anal. 58 (2019)
Michaël Sdika
Diffeomorphic B-spline vector fields with a tractable set of inequalities. Math. Comput. 88 (320) (2019)
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
Automatic spinal cord localization, robust to MRI contrasts using global curve optimization. Medical Image Anal. 44 (2018)
Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin
Towards integrating spatial localization in convolutional neural networks for brain image segmentation. ISBI (2018)
Nima Hatami, Michaël Sdika, Hélène Ratiney
Magnetic Resonance Spectroscopy Quantification using Deep Learning. CoRR (2018)
Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin
Towards integrating spatial localization in convolutional neural networks for brain image segmentation. CoRR (2018)
Nima Hatami, Michaël Sdika, Hélène Ratiney
Magnetic Resonance Spectroscopy Quantification Using Deep Learning. MICCAI (1) (2018)
Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin
Semi-supervised Learning for Segmentation Under Semantic Constraint. MICCAI (3) (2018)
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
OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization. MICCAI (2) (2017)
Augustin Ogier, Michaël Sdika, Alexandre Foure, Arnaud Le Troter, David Bendahan
Individual muscle segmentation in MR images: A 3D propagation through 2D non-linear registration approaches. EMBC (2017)
Michaël Sdika, Laure Alston, Laurent Mahieu-Williame, Jacques Guyotat, David Rousseau, Bruno Montcel
Robust real time motion compensation for intraoperative video processing during neurosurgery. ISBI (2016)
Eric Van Reeth, Michaël Sdika, Pierre-Herve Luppi, Paul-Antoine Libourel, Olivier Beuf
Multiple labels point-set registration. ISBI (2015)
Manuel Taso, Arnaud Le Troter, Michaël Sdika, Julien Cohen-Adad, Pierre Jean Arnoux, Maxime Guye, Jean-Philippe Ranjeva, Virginie Callot
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. NeuroImage 117 (2015)
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
Framework for integrated MRI average of the spinal cord white and gray matter: The MNI-Poly-AMU template. NeuroImage 102 (2014)
Razmig Kéchichian, Sébastien Valette, Michaël Sdika, Michel Desvignes
Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases. MCV (2014)
Michaël Sdika
A Sharp Sufficient Condition for B-Spline Vector Field Invertibility. Application to Diffeomorphic Registration and Interslice Interpolation. SIAM J. Imaging Sci. 6 (4) (2013)
SungWon Chung, Blandine Courcot, Michaël Sdika, Kristin Moffat, Caroline Rae, Roland G. Henry
Bootstrap quantification of cardiac pulsation artifact in DTI. NeuroImage 49 (1) (2010)
Michaël Sdika
Combining atlas based segmentation and intensity classification with nearest neighbor transform and accuracy weighted vote. Medical Image Anal. 14 (2) (2010)
SungWon Chung, Daniel Pelletier, Michaël Sdika, Ying Lu, Jeffrey I. Berman, Roland G. Henry
Whole brain voxel-wise analysis of single-subject serial DTI by permutation testing. NeuroImage 39 (4) (2008)
Michaël Sdika
A Fast Nonrigid Image Registration With Constraints on the Jacobian Using Large Scale Constrained Optimization. IEEE Trans. Medical Imaging 27 (2) (2008)
Hélène Ratiney, Adriana Bucur, Michaël Sdika, Olivier Beuf, Franck Pilleul, Sophie Cavassila
Effective voigt model estimation using multiple random starting values and parameter bounds settings for in vivo hepatic 1H magnetic resonance spectroscopic data. ISBI (2008)
Bill Triggs, Michaël Sdika
Boundary conditions for Young-van Vliet recursive filtering. IEEE Trans. Signal Process. 54 (6-1) (2006)