Michaël Sdika

40 papers Journal 22Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Explainable monotonic networks and constrained learning for interpretable classification and weakly supervised anomaly detection. Pattern Recognit. Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika
2025	—	`conf`	Towards Better Interpretability of Sepsis Prediction by Deep Neural Networks with Variable-Wise Attribution Maps. ISBI P.-E. Thiboud, Valentine Wargnier-Dauchelle, Mathieu Lefort, Nicolas Duchateau, Michaël Sdika
2024	J	`jnl`	An Explicit Estimated Baseline Model for Robust Estimation of Fluorophores Using Multiple-Wavelength Excitation Fluorescence Spectroscopy. IEEE Trans. Biomed. Eng. Arthur Gautheron, Michaël Sdika, Mathieu Hébert, Bruno Montcel
2024	—	`conf`	An unexpected confounder: how brain shape can be used to classify MRI scans ? MIDL Valentine Wargnier-Dauchelle, Thomas Grenier, Michaël Sdika
2024	—	`conf`	Dynamic Single-Pixel Imaging on an Extended Field of View Without Warping the Patterns. MICCAI (7) Thomas Maitre, Elie Bretin, Romain Phan, Nicolas Ducros, Michaël Sdika
2024	—	`conf`	Hybrid Single-Pixel Camera for Dynamic Hyperspectral Imaging. ISBI Thomas Maitre, Elie Bretin, Laurent Mahieu-Williame, Michaël Sdika, Nicolas Ducros
2024	—	`conf`	The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging. ACM-REP Gaël Vila, Emmanuel Medernach, Inés Gonzalez Pepe, Axel Bonnet, Yohan Chatelain, Michaël Sdika, Tristan Glatard, Sorina Camarasu-Pop
2023	J	`jnl`	A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection. IEEE Trans. Medical Imaging Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika
2023	J	`jnl`	Intraoperative identification of functional brain areas with RGB imaging using statistical parametric mapping: Simulation and clinical studies. NeuroImage Charly Caredda, Eric Van Reeth, Laurent Mahieu-Williame, Raphaël Sablong, Michaël Sdika, Fabien C. Schneider, Thiébaud Picart, Jacques Guyotat, Bruno Montcel
2023	—	`conf`	Reproducibility of Tumor Segmentation Outcomes with a Deep Learning Model. ISBI Morgane Des Ligneris, Axel Bonnet, Yohan Chatelain, Tristan Glatard, Michaël Sdika, Gaël Vila, Valentine Wargnier-Dauchelle, Sorina Camarasu-Pop, Carole Frindel
2023	—	`conf`	Robust Unsupervised Image to Template Registration Without Image Similarity Loss. MILLanD@MICCAI Slim Hachicha, Célia Le, Valentine Wargnier-Dauchelle, Michaël Sdika
2021	—	`conf`	A More Interpretable Classifier For Multiple Sclerosis. ISBI Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika
2021	J	`jnl`	Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN. Comput. Biol. Medicine Matthieu Martin, Bruno Sciolla, Michaël Sdika, Philippe Quetin, Philippe Delachartre
2020	J	`jnl`	Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN. CoRR Matthieu Martin, Bruno Sciolla, Michaël Sdika, Philippe Quetin, Philippe Delachartre
2020	—	`book`	Quelques contributions en recalage et segmentation d'images médicales. (Some contributions in medical image registration and segmentation). Michaël Sdika
2019	J	`jnl`	Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy. Comput. Biol. Medicine Clément Daviller, Thomas Grenier, Hélène Ratiney, Michaël Sdika, Pierre Croisille, Magalie Viallon
2019	J	`jnl`	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 Clément Daviller, Thomas Grenier, Hélène Ratiney, Michaël Sdika, Pierre Croisille, Magalie Viallon
2019	J	`jnl`	Diffeomorphic B-spline vector fields with a tractable set of inequalities. Math. Comput. Michaël Sdika
2019	J	`jnl`	Removing segmentation inconsistencies with semi-supervised non-adjacency constraint. Medical Image Anal. Pierre-Antoine Ganaye, Michaël Sdika, Bill Triggs, Hugues Benoit-Cattin
2019	J	`jnl`	Repetitive motion compensation for real time intraoperative video processing. Medical Image Anal. Michaël Sdika, Laure Alston, David Rousseau, Jacques Guyotat, Laurent Mahieu-Williame, Bruno Montcel
2018	J	`jnl`	Automatic spinal cord localization, robust to MRI contrasts using global curve optimization. Medical Image Anal. 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
2018	—	`conf`	Magnetic Resonance Spectroscopy Quantification Using Deep Learning. MICCAI (1) Nima Hatami, Michaël Sdika, Hélène Ratiney
2018	J	`jnl`	Magnetic Resonance Spectroscopy Quantification using Deep Learning. CoRR Nima Hatami, Michaël Sdika, Hélène Ratiney
2018	—	`conf`	Semi-supervised Learning for Segmentation Under Semantic Constraint. MICCAI (3) Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin
2018	—	`conf`	Towards integrating spatial localization in convolutional neural networks for brain image segmentation. ISBI Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin
2018	J	`jnl`	Towards integrating spatial localization in convolutional neural networks for brain image segmentation. CoRR Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin
2017	—	`conf`	Individual muscle segmentation in MR images: A 3D propagation through 2D non-linear registration approaches. EMBC Augustin Ogier, Michaël Sdika, Alexandre Foure, Arnaud Le Troter, David Bendahan
2017	—	`conf`	OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization. MICCAI (2) 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
2016	—	`conf`	Robust real time motion compensation for intraoperative video processing during neurosurgery. ISBI Michaël Sdika, Laure Alston, Laurent Mahieu-Williame, Jacques Guyotat, David Rousseau, Bruno Montcel
2015	J	`jnl`	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 Manuel Taso, Arnaud Le Troter, Michaël Sdika, Julien Cohen-Adad, Pierre Jean Arnoux, Maxime Guye, Jean-Philippe Ranjeva, Virginie Callot
2015	—	`conf`	Multiple labels point-set registration. ISBI Eric Van Reeth, Michaël Sdika, Pierre-Hervé Luppi, Paul-Antoine Libourel, Olivier Beuf
2014	—	`conf`	Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases. MCV Razmig Kéchichian, Sébastien Valette, Michaël Sdika, Michel Desvignes
2014	J	`jnl`	Framework for integrated MRI average of the spinal cord white and gray matter: The MNI-Poly-AMU template. NeuroImage Vladimir S. Fonov, Arnaud Le Troter, Manuel Taso, Benjamin De Leener, G. Lévêque, M. Benhamou, Michaël Sdika, Habib Benali, Pierre-François Pradat, D. Louis Collins, Virginie Callot, Julien Cohen-Adad
2013	J	`jnl`	A Sharp Sufficient Condition for B-Spline Vector Field Invertibility. Application to Diffeomorphic Registration and Interslice Interpolation. SIAM J. Imaging Sci. Michaël Sdika
2010	J	`jnl`	Bootstrap quantification of cardiac pulsation artifact in DTI. NeuroImage SungWon Chung, Blandine Courcot, Michaël Sdika, Kristin Moffat, Caroline D. Rae, Roland G. Henry
2010	J	`jnl`	Combining atlas based segmentation and intensity classification with nearest neighbor transform and accuracy weighted vote. Medical Image Anal. Michaël Sdika
2008	J	`jnl`	A Fast Nonrigid Image Registration With Constraints on the Jacobian Using Large Scale Constrained Optimization. IEEE Trans. Medical Imaging Michaël Sdika
2008	—	`conf`	Effective voigt model estimation using multiple random starting values and parameter bounds settings for in vivo hepatic 1H magnetic resonance spectroscopic data. ISBI Hélène Ratiney, Adriana Bucur, Michaël Sdika, Olivier Beuf, Franck Pilleul, Sophie Cavassila
2008	J	`jnl`	Whole brain voxel-wise analysis of single-subject serial DTI by permutation testing. NeuroImage SungWon Chung, Daniel Pelletier, Michaël Sdika, Ying Lu, Jeffrey I. Berman, Roland G. Henry
2006	J	`jnl`	Boundary conditions for Young-van Vliet recursive filtering. IEEE Trans. Signal Process. Bill Triggs, Michaël Sdika