Matías Nicolás Bossa

12 papers Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT.
BMC Medical Informatics Decis. Mak.
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, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke
2025 J jnl
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty.
npj Digit. Medicine
Abel Díaz Berenguer, Matías Nicolás Bossa, Julien Lebleu, Andries Pauwels, Hichem Sahli
2024 J jnl
Long-Term Regional Influenza-Like-Illness Forecasting Using Exogenous Data.
IEEE J. Biomed. Health Informatics
Eirini Papagiannopoulou, Matías Nicolás Bossa, Nikos Deligiannis, Hichem Sahli
2024 J jnl
Reducing Bias in Sentiment Analysis Models Through Causal Mediation Analysis and Targeted Counterfactual Training.
IEEE Access
Yifei Da, Matías Nicolás Bossa, Abel Díaz Berenguer, Hichem Sahli
2024 J jnl
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization.
Medical Image Anal.
Abel Díaz Berenguer, Maryna Kvasnytsia, Matías Nicolás Bossa, Tanmoy Mukherjee, Nikos Deligiannis, Hichem Sahli
2024 J jnl
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.
Medical Image Anal.
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
2023 J jnl
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data.
CoRR
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
2022 — conf
Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models.
Bildverarbeitung für die Medizin
Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Frank Hertel, Andreas Husch
2022 — conf
Representation Learning with Information Theory to Detect COVID-19 and Its Severity.
ECCV Workshops (7)
Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli
2021 J jnl
Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem.
Medical Image Anal.
Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Andreas Dominik Husch
2020 J jnl
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets.
CoRR
Beatriz Garcia Santa Cruz, Jan Sölter, Matías Nicolás Bossa, Andreas Dominik Husch
2009 — conf
Tensor-Based Morphometry with Mappings Parameterized by Stationary Velocity Fields in Alzheimer's Disease Neuroimaging Initiative.
MICCAI (1)
Matías Nicolás Bossa, Ernesto Zacur, Salvador Olmos