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2020 – today
- 2024
[j10]Yifei Da
, Matías Nicolás Bossa, Abel Díaz Berenguer, Hichem Sahli:
Reducing Bias in Sentiment Analysis Models Through Causal Mediation Analysis and Targeted Counterfactual Training. IEEE Access 12: 10120-10134 (2024)- [j9]Abel Díaz Berenguer, Maryna Kvasnytsia, Matías Nicolás Bossa, Tanmoy Mukherjee, Nikos Deligiannis, Hichem Sahli:
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization. Medical Image Anal. 94: 103107 (2024) - [j8]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, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel:
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97: 103230 (2024) - [j7]Eirini Papagiannopoulou, Matías Nicolás Bossa, Nikos Deligiannis, Hichem Sahli:
Long-Term Regional Influenza-Like-Illness Forecasting Using Exogenous Data. IEEE J. Biomed. Health Informatics 28(6): 3781-3792 (2024) - 2023
- [i3]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, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois:
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR abs/2306.10484 (2023) - 2022
- [c11]Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Frank Hertel, Andreas Husch:
Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models. Bildverarbeitung für die Medizin 2022: 114 - [c10]Selene De Sutter, Wietse Geens, Matías N. Bossa, Anne-Marie Vanbinst, Johnny Duerinck, Jef Vandemeulebroucke:
Probabilistic Tissue Mapping for Tumor Segmentation and Infiltration Detection of Glioma. BrainLes@MICCAI 2022: 80-89 - [c9]Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli:
Representation Learning with Information Theory to Detect COVID-19 and Its Severity. ECCV Workshops (7) 2022: 605-620 - [c8]Matías N. Bossa, Abel Díaz Berenguer, Hichem Sahli:
Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer's Disease. MLCN@MICCAI 2022: 95-103 - [i2]Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli:
Representation Learning with Information Theory for COVID-19 Detection. CoRR abs/2207.01437 (2022) - 2021
- [j6]Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Andreas Dominik Husch:
Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem. Medical Image Anal. 74: 102225 (2021) - 2020
- [i1]Beatriz Garcia Santa Cruz, Jan Sölter, Matías Nicolás Bossa, Andreas Dominik Husch:
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets. CoRR abs/2008.11572 (2020)
2010 – 2019
- 2014
- [j5]Ernesto Zacur, Matías N. Bossa, Salvador Olmos:
Multivariate Tensor-Based Morphometry with a Right-Invariant Riemannian Distance on GL+(n). J. Math. Imaging Vis. 50(1-2): 18-31 (2014) - [j4]Ernesto Zacur, Matías N. Bossa, Salvador Olmos:
Left-Invariant Riemannian Geodesics on Spatial Transformation Groups. SIAM J. Imaging Sci. 7(3): 1503-1557 (2014) - 2011
- [j3]Matías N. Bossa, Ernesto Zacur, Salvador Olmos:
Statistical analysis of relative pose information of subcortical nuclei: Application on ADNI data. NeuroImage 55(3): 999-1008 (2011) - 2010
- [j2]Matías N. Bossa, Ernesto Zacur, Salvador Olmos:
Tensor-based morphometry with stationary velocity field diffeomorphic registration: Application to ADNI. NeuroImage 51(3): 956-969 (2010)
2000 – 2009
- 2009
- [j1]Monica Hernandez, Matías N. Bossa, Salvador Olmos:
Registration of Anatomical Images Using Paths of Diffeomorphisms Parameterized with Stationary Vector Field Flows. Int. J. Comput. Vis. 85(3): 291-306 (2009) - [c7]Matías Nicolás Bossa, Ernesto Zacur, Salvador Olmos:
Tensor-Based Morphometry with Mappings Parameterized by Stationary Velocity Fields in Alzheimer's Disease Neuroimaging Initiative. MICCAI (1) 2009: 240-247 - 2008
- [c6]Matías N. Bossa, Ernesto Zacur, Salvador Olmos:
Algorithms for computing the group exponential of diffeomorphisms: Performance evaluation. CVPR Workshops 2008: 1-8 - 2007
- [c5]Monica Hernandez, Matías N. Bossa, Salvador Olmos:
Registration of anatomical images using geodesic paths of diffeomorphisms parameterized with stationary vector fields. ICCV 2007: 1-8 - [c4]Matías N. Bossa, Salvador Olmos:
Multi-Object Statistical Pose+Shape Models. ISBI 2007: 1204-1207 - [c3]Matías N. Bossa, Monica Hernandez, Salvador Olmos:
Contributions to 3D Diffeomorphic Atlas Estimation: Application to Brain Images. MICCAI (1) 2007: 667-674 - 2006
- [c2]Matías N. Bossa, Salvador Olmos:
Statistical Model of Similarity Transformations: Building a Multi-Object Pose. CVPR Workshops 2006: 59 - 2004
- [c1]Sebastián Ordas, Loic Boisrobert, Matías N. Bossa, Salvador Olmos, Alejandro F. Frangi, Marina Huguet, Marcos Laucelli:
Grid-Enabled Automatic Construction of A Two-Chamber Cardiac PDM from a Large Database of Dynamic 3D Shapes. ISBI 2004: 416-419
Coauthor Index
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last updated on 2024-10-07 21:26 CEST by the dblp team
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