Grid-Enabled Automatic Construction of A Two-Chamber Cardiac PDM from a Large Database of Dynamic 3D Shapes. - Sebastián Ordas; Loic Boisrobert; Matías N. Bossa; Salvador Olmos; Alejandro F. Frangi; Marina Huguet; Marcos Laucelli (ISBI, 2004)

Statistical Model of Similarity Transformations: Building a Multi-Object Pose. - Matías N. Bossa; Salvador Olmos (CVPR Workshops, 2006)

Registration of anatomical images using geodesic paths of diffeomorphisms parameterized with stationary vector fields. - Monica Hernandez; Matías N. Bossa; Salvador Olmos (ICCV, 2007)

Multi-Object Statistical Pose+Shape Models. - Matías N. Bossa; Salvador Olmos (ISBI, 2007)

Contributions to 3D Diffeomorphic Atlas Estimation: Application to Brain Images. - Matías N. Bossa; Monica Hernandez; Salvador Olmos (MICCAI (1), 2007)

Algorithms for computing the group exponential of diffeomorphisms: Performance evaluation. - Matías N. Bossa; Ernesto Zacur; Salvador Olmos (CVPR Workshops, 2008)

Tensor-Based Morphometry with Mappings Parameterized by Stationary Velocity Fields in Alzheimer's Disease Neuroimaging Initiative. - Matías Nicolás Bossa; Ernesto Zacur; Salvador Olmos (MICCAI (1), 2009)

Registration of Anatomical Images Using Paths of Diffeomorphisms Parameterized with Stationary Vector Field Flows. - Monica Hernandez; Matías N. Bossa; Salvador Olmos (Int. J. Comput. Vis., 2009)

Tensor-based morphometry with stationary velocity field diffeomorphic registration: Application to ADNI. - Matías N. Bossa; Ernesto Zacur; Salvador Olmos (NeuroImage, 2010)

Statistical analysis of relative pose information of subcortical nuclei: Application on ADNI data. - Matías N. Bossa; Ernesto Zacur; Salvador Olmos (NeuroImage, 2011)

Multivariate Tensor-Based Morphometry with a Right-Invariant Riemannian Distance on GL+(n). - Ernesto Zacur; Matías N. Bossa; Salvador Olmos (J. Math. Imaging Vis., 2014)

Left-Invariant Riemannian Geodesics on Spatial Transformation Groups. - Ernesto Zacur; Matías N. Bossa; Salvador Olmos (SIAM J. Imaging Sci., 2014)

On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets. - Beatriz Garcia Santa Cruz; Jan Sölter; Matías Nicolás Bossa; Andreas Dominik Husch (CoRR, 2020)

Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem. - Beatriz Garcia Santa Cruz; Matías Nicolás Bossa; Jan Sölter; Andreas Dominik Husch (Medical Image Anal., 2021)

Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models. - Beatriz Garcia Santa Cruz; Matías Nicolás Bossa; Jan Sölter; Frank Hertel; Andreas Husch (Bildverarbeitung für die Medizin, 2022)

Probabilistic Tissue Mapping for Tumor Segmentation and Infiltration Detection of Glioma. - Selene De Sutter; Wietse Geens; Matías N. Bossa; Anne-Marie Vanbinst; Johnny Duerinck; Jef Vandemeulebroucke (BrainLes@MICCAI, 2022)

Representation Learning with Information Theory to Detect COVID-19 and Its Severity. - Abel Díaz Berenguer; Tanmoy Mukherjee; Yifei Da; Matías Nicolás Bossa; Maryna Kvasnytsia; Jef Vandemeulebroucke; Nikos Deligiannis; Hichem Sahli (ECCV Workshops (7), 2022)

Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer's Disease. - Matías N. Bossa; Abel Díaz Berenguer; Hichem Sahli (MLCN@MICCAI, 2022)

Representation Learning with Information Theory for COVID-19 Detection. - Abel Díaz Berenguer; Tanmoy Mukherjee; Matias Bossa; Nikos Deligiannis; Hichem Sahli (CoRR, 2022)

Reducing Bias in Sentiment Analysis Models Through Causal Mediation Analysis and Targeted Counterfactual Training. - Yifei Da; Matías Nicolás Bossa; Abel Díaz Berenguer; Hichem Sahli (IEEE Access, 2024)

Semi-supervised medical image classification via distance correlation minimization and graph attention regularization. - Abel Díaz Berenguer; Maryna Kvasnytsia; Matías Nicolás Bossa; Tanmoy Mukherjee; Nikos Deligiannis; Hichem Sahli (Medical Image Anal., 2024)

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. - Luuk H. Boulogne; Julian Lorenz; Daniel Kienzle; Robin Schön; Katja Ludwig; Rainer Lienhart; Simon Jégou; Guang Li; Cong Chen; Qi Wang; Derik Shi; Mayug Maniparambil; et al. (Medical Image Anal., 2024)

Long-Term Regional Influenza-Like-Illness Forecasting Using Exogenous Data. - Eirini Papagiannopoulou; Matías Nicolás Bossa; Nikos Deligiannis; Hichem Sahli (IEEE J. Biomed. Health Informatics, 2024)

High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty. - Abel Díaz Berenguer; Matías Nicolás Bossa; Julien Lebleu; Andries Pauwels; Hichem Sahli (npj Digit. Medicine, 2025)

Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT. - Ine Dirks; Matías Nicolás Bossa; Abel Díaz Berenguer; Tanmoy Mukherjee; Hichem Sahli; Nikos Deligiannis; Emma Verelst; Bart Ilsen; Simon Van Eyndhoven; Lucie Seyler; Arne Witdouck; Gilles Darcis; et al. (BMC Medical Informatics Decis. Mak., 2025)