Matías N. Bossa

According to our database, Matías N. Bossa authored at least 23 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, June, 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, 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

Medical Image Anal., 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

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

2022

Representation Learning with Information Theory for COVID-19 Detection.

Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli

CoRR, 2022

Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer's Disease.

Matías N. Bossa, Abel Díaz Berenguer, Hichem Sahli

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

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

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

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

2020

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

2014

Left-Invariant Riemannian Geodesics on Spatial Transformation Groups.

Ernesto Zacur, Matías N. Bossa, Salvador Olmos

SIAM J. Imaging Sci., 2014

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

2011

Statistical analysis of relative pose information of subcortical nuclei: Application on ADNI data.

Matías N. Bossa, Ernesto Zacur, Salvador Olmos

NeuroImage, 2011

2010

Tensor-based morphometry with stationary velocity field diffeomorphic registration: Application to ADNI.

Matías N. Bossa, Ernesto Zacur, Salvador Olmos

NeuroImage, 2010

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 Mappings Parameterized by Stationary Velocity Fields in Alzheimer's Disease Neuroimaging Initiative.

Matías Nicolás Bossa, Ernesto Zacur, Salvador Olmos

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008

Algorithms for computing the group exponential of diffeomorphisms: Performance evaluation.

Matías N. Bossa, Ernesto Zacur, Salvador Olmos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007

Contributions to 3D Diffeomorphic Atlas Estimation: Application to Brain Images.

Matías N. Bossa, Monica Hernandez, Salvador Olmos

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Multi-Object Statistical Pose+Shape Models.

Matías N. Bossa, Salvador Olmos

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Registration of anatomical images using geodesic paths of diffeomorphisms parameterized with stationary vector fields.

Monica Hernandez, Matías N. Bossa, Salvador Olmos

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006

Statistical Model of Similarity Transformations: Building a Multi-Object Pose.

Matías N. Bossa, Salvador Olmos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2004

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

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004