Boundary conditions for Young-van Vliet recursive filtering. - Bill Triggs; Michaël Sdika (IEEE Trans. Signal Process., 2006)

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 (ISBI, 2008)

Whole brain voxel-wise analysis of single-subject serial DTI by permutation testing. - SungWon Chung; Daniel Pelletier; Michaël Sdika; Ying Lu 006; Jeffrey I. Berman; Roland G. Henry (NeuroImage, 2008)

A Fast Nonrigid Image Registration With Constraints on the Jacobian Using Large Scale Constrained Optimization. - Michaël Sdika (IEEE Trans. Medical Imaging, 2008)

Combining atlas based segmentation and intensity classification with nearest neighbor transform and accuracy weighted vote. - Michaël Sdika (Medical Image Anal., 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)

A Sharp Sufficient Condition for B-Spline Vector Field Invertibility. Application to Diffeomorphic Registration and Interslice Interpolation. - Michaël Sdika (SIAM J. Imaging Sci., 2013)

Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases. - Razmig Kéchichian; Sébastien Valette; Michaël Sdika; Michel Desvignes (MCV, 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-François Pradat; D. Louis Collins; Virginie Callot; Julien Cohen-Adad (NeuroImage, 2014)

Multiple labels point-set registration. - Eric Van Reeth; Michaël Sdika; Pierre-Hervé Luppi; Paul-Antoine Libourel; Olivier Beuf (ISBI, 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)

Robust real time motion compensation for intraoperative video processing during neurosurgery. - Michaël Sdika; Laure Alston; Laurent Mahieu-Williame; Jacques Guyotat; David Rousseau; Bruno Montcel (ISBI, 2016)

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 (EMBC, 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 (MICCAI (2), 2017)

Towards integrating spatial localization in convolutional neural networks for brain image segmentation. - Pierre-Antoine Ganaye; Michaël Sdika; Hugues Benoit-Cattin (ISBI, 2018)

Semi-supervised Learning for Segmentation Under Semantic Constraint. - Pierre-Antoine Ganaye; Michaël Sdika; Hugues Benoit-Cattin (MICCAI (3), 2018)

Magnetic Resonance Spectroscopy Quantification Using Deep Learning. - Nima Hatami; Michaël Sdika; Hélène Ratiney (MICCAI (1), 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)

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)

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)

Removing segmentation inconsistencies with semi-supervised non-adjacency constraint. - Pierre-Antoine Ganaye; Michaël Sdika; Bill Triggs; Hugues Benoit-Cattin (Medical Image Anal., 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)

Diffeomorphic B-spline vector fields with a tractable set of inequalities. - Michaël Sdika (Math. Comput., 2019)

Quelques contributions en recalage et segmentation d'images médicales. (Some contributions in medical image registration and segmentation). - Michaël Sdika (2020)

A More Interpretable Classifier For Multiple Sclerosis. - Valentine Wargnier-Dauchelle; Thomas Grenier; Françoise Durand-Dubief; François Cotton; Michaël Sdika (ISBI, 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)

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 (ISBI, 2023)

Robust Unsupervised Image to Template Registration Without Image Similarity Loss. - Slim Hachicha; Célia Le; Valentine Wargnier-Dauchelle; Michaël Sdika (MILLanD@MICCAI, 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, 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, 2023)

The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging. - Gaël Vila; Emmanuel Medernach; Inés Gonzalez Pepe; Axel Bonnet; Yohan Chatelain; Michaël Sdika; Tristan Glatard; Sorina Camarasu-Pop (ACM-REP, 2024)

Hybrid Single-Pixel Camera for Dynamic Hyperspectral Imaging. - Thomas Maitre; Elie Bretin; Laurent Mahieu-Williame; Michaël Sdika; Nicolas Ducros (ISBI, 2024)

Dynamic Single-Pixel Imaging on an Extended Field of View Without Warping the Patterns. - Thomas Maitre; Elie Bretin; Romain Phan; Nicolas Ducros; Michaël Sdika (MICCAI (7), 2024)

An unexpected confounder: how brain shape can be used to classify MRI scans ? - Valentine Wargnier-Dauchelle; Thomas Grenier; Michaël Sdika (MIDL, 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., 2024)

Transformation matrix results (.mat files) produced with the FSL FLIRT application (v6.0.5.1) within a reproducibilty study. - Emmanuel Medernach; Gaël Vila; Inés Gonzalez Pepe; Axel Bonnet; Yohan Chatelain; Michaël Sdika; Tristan Glatard; Sorina Camarasu-Pop (Zenodo, 2024)

Towards Better Interpretability of Sepsis Prediction by Deep Neural Networks with Variable-Wise Attribution Maps. - P.-E. Thiboud; Valentine Wargnier-Dauchelle; Mathieu Lefort; Nicolas Duchateau; Michaël Sdika (ISBI, 2025)

Explainable monotonic networks and constrained learning for interpretable classification and weakly supervised anomaly detection. - Valentine Wargnier-Dauchelle; Thomas Grenier; Françoise Durand-Dubief; François Cotton; Michaël Sdika (Pattern Recognit., 2025)