A multidimensional ODE-based model of Alzheimer’s disease progression von Bossa, Matías Nicolás, Sahli, Hichem

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Causality-driven multivariate stock movement forecasting von Díaz Berenguer, Abel, Da, Yifei, Bossa, Matías Nicolás, Oveneke, Meshia Cédric, Sahli, Hichem

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Generative AI unlocks PET insights: brain amyloid dynamics and quantification von Bossa, Matías Nicolás, Nakshathri, Akshaya Ganesh, Berenguer, Abel Díaz, Sahli, Hichem

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Reducing Bias in Sentiment Analysis Models Through Causal Mediation Analysis and Targeted Counterfactual Training von Da, Yifei, Bossa, Matías Nicolás, Berenguer, Abel Díaz, Sahli, Hichem

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Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem von Garcia Santa Cruz, Beatriz, Bossa, Matías Nicolás, Sölter, Jan, Husch, Andreas Dominik

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Semi-supervised medical image classification via distance correlation minimization and graph attention regularization von Berenguer, Abel Díaz, Kvasnytsia, Maryna, Bossa, Matías Nicolás, Mukherjee, Tanmoy, Deligiannis, Nikos, Sahli, Hichem

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The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data von Boulogne, Luuk H, Lorenz, Julian, Kienzle, Daniel, Schoen, Robin, Ludwig, Katja, Lienhart, Rainer, Jegou, Simon, Li, Guang, Chen, Cong, Wang, Qi, Shi, Derik, Maniparambil, Mayug, Mueller, Dominik, Mertes, Silvan, Schroeter, Niklas, Hellmann, Fabio, Elia, Miriam, Dirks, Ine, Bossa, Matias Nicolas, Berenguer, Abel Diaz, Mukherjee, Tanmoy, Vandemeulebroucke, Jef, Sahli, Hichem, Deligiannis, Nikos, Gonidakis, Panagiotis, Huynh, Ngoc Dung, Razzak, Imran, Bouadjenek, Reda, Verdicchio, Mario, Borrelli, Pasquale, Aiello, Marco, Meakin, James A, Lemm, Alexander, Russ, Christoph, Ionasec, Razvan, Paragios, Nikos, van Ginneken, Bram, Revel, Marie-Pierre

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The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data von Boulogne, Luuk H., Lorenz, Julian, Kienzle, Daniel, Schön, Robin, Ludwig, Katja, Lienhart, Rainer, Jégou, Simon, Li, Guang, Chen, Cong, Wang, Qi, Shi, Derik, Maniparambil, Mayug, Müller, Dominik, Mertes, Silvan, Schröter, Niklas, Hellmann, Fabio, Elia, Miriam, Dirks, Ine, Bossa, Matías Nicolás, Berenguer, Abel Díaz, Mukherjee, Tanmoy, Vandemeulebroucke, Jef, Sahli, Hichem, Deligiannis, Nikos, Gonidakis, Panagiotis, Huynh, Ngoc Dung, Razzak, Imran, Bouadjenek, Reda, Verdicchio, Mario, Borrelli, Pasquale, Aiello, Marco, Meakin, James A., Lemm, Alexander, Russ, Christoph, Ionasec, Razvan, Paragios, Nikos, van Ginneken, Bram, Revel, Marie-Pierre

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Long-Term Regional Influenza-Like-Illness Forecasting Using Exogenous Data von Papagiannopoulou, Eirini, Bossa, Matias, Deligiannis, Nikos, Sahli, Hichem

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On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets von Cruz, Beatriz Garcia Santa, Sölter, Jan, Bossa, Matias Nicolas, Husch, Andreas Dominik

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The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data von Boulogne, Luuk H, Lorenz, Julian, Kienzle, Daniel, Schon, Robin, Ludwig, Katja, Lienhart, Rainer, Jegou, Simon, Li, Guang, Chen, Cong, Wang, Qi, Shi, Derik, Maniparambil, Mayug, Muller, Dominik, Mertes, Silvan, Schroter, Niklas, Hellmann, Fabio, Elia, Miriam, Dirks, Ine, Bossa, Matias Nicolas, Berenguer, Abel Diaz, Mukherjee, Tanmoy, Vandemeulebroucke, Jef, Sahli, Hichem, Deligiannis, Nikos, Gonidakis, Panagiotis, Huynh, Ngoc Dung, Razzak, Imran, Bouadjenek, Reda, Verdicchio, Mario, Borrelli, Pasquale, Aiello, Marco, Meakin, James A, Lemm, Alexander, Russ, Christoph, Ionasec, Razvan, Paragios, Nikos, van Ginneken, Bram, Dubois, Marie-Pierre Revel

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Tensor-Based Morphometry with Mappings Parameterized by Stationary Velocity Fields in Alzheimer’s Disease Neuroimaging Initiative von Bossa, Matías Nicolás, Zacur, Ernesto, Olmos, Salvador

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Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models von Cruz, Beatriz Garcia Santa, Bossa, Matias Nicolas, Soelter, Jan, Hertel, Frank, Husch, Andreas

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On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets von Beatriz Garcia Santa Cruz, Sölter, Jan, Matias Nicolas Bossa, Husch, Andreas Dominik

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The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data von Boulogne, Luuk H, Lorenz, Julian, Kienzle, Daniel, Schon, Robin, Ludwig, Katja, Lienhart, Rainer, Jegou, Simon, Li, Guang, Chen, Cong, Wang, Qi, Shi, Derik, Maniparambil, Mayug, Muller, Dominik, Mertes, Silvan, Schroter, Niklas, Hellmann, Fabio, Elia, Miriam, Dirks, Ine, Matias Nicolas Bossa, Abel Diaz Berenguer, Mukherjee, Tanmoy, Vandemeulebroucke, Jef, Sahli, Hichem, Deligiannis, Nikos, Gonidakis, Panagiotis, Huynh, Ngoc Dung, Razzak, Imran, Bouadjenek, Reda, Verdicchio, Mario, Borrelli, Pasquale, Aiello, Marco, Meakin, James A, Lemm, Alexander, Russ, Christoph, Ionasec, Razvan, Paragios, Nikos, Bram van Ginneken, Marie-Pierre Revel Dubois

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Representation Learning with Information Theory to Detect COVID-19 and Its Severity von Berenguer, Abel Díaz, Mukherjee, Tanmoy, Da, Yifei, Bossa, Matías Nicolás, Kvasnytsia, Maryna, Vandemeulebroucke, Jef, Deligiannis, Nikos, Sahli, Hichem

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