Abel Díaz Berenguer

21 papers Misc 1Journal 12Unranked 8
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
An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images.
Expert Syst. Appl.
Ercheng Pei, Zhanxuan Hu, Lang He, Hailong Ning, Abel Díaz Berenguer
2024 — conf
Dynamic multi-hypergraph structure learning for disease diagnosis on multimodal data.
EMBC
Maxime Bollengier, Abel Díaz Berenguer, 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 — conf
COVID-19 Lesion Segmentation Framework for the Contrast-Enhanced CT in the Absence of Contrast-Enhanced CT Annotations.
MILLanD@MICCAI
Maryna Kvasnytsia, Abel Díaz Berenguer, Hichem Sahli, Jef Vandemeulebroucke
2023 — conf
Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia.
MCPR
Eduardo Garea Llano, Abel Díaz Berenguer, Hichem Sahli, Evelio R. Gonzalez-Dalmau
2023 Misc conf
Multi-view Infant Cry Classification.
IbPRIA
Yadisbel Martinez-Cañete, Hichem Sahli, Abel Díaz Berenguer
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 J jnl
Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions.
IEEE Trans. Affect. Comput.
Meshia Cédric Oveneke, Yong Zhao, Ercheng Pei, Abel Díaz Berenguer, Dongmei Jiang, Hichem Sahli
2022 — conf
Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer's Disease.
MLCN@MICCAI
Matías N. Bossa, Abel Díaz Berenguer, Hichem Sahli
2022 J jnl
Representation Learning with Information Theory for COVID-19 Detection.
CoRR
Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli
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
Context-Aware Human Trajectories Prediction via Latent Variational Model.
IEEE Trans. Circuits Syst. Video Technol.
Abel Díaz Berenguer, Mitchel Alioscha-Pérez, Meshia Cédric Oveneke, Hichem Sahli
2020 J jnl
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging.
CoRR
Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Pérez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chan, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke
2020 — conf
Neural architecture search under black-box objectives with deep reinforcement learning and increasingly-sparse rewards.
ICAIIC
Mitchel Alioscha-Pérez, Abel Díaz Berenguer, Ercheng Pei, Meshia Cédric Oveneke, Hichem Sahli
2019 — conf
End-To-End Anomaly Detection, Correction and Prediction of Missing Values in Historical Daily Temperature Timeseries.
BNAIC/BENELEARN
Mitchel Alioscha-Pérez, Meshia Cédric Oveneke, Abel Díaz Berenguer, Cédric Bertrand, Hichem Sahli
2019 J jnl
GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition.
IEEE Access
Abel Díaz Berenguer, Meshia Cédric Oveneke, Habib-Ur-Rehman Khalid, Mitchel Alioscha-Pérez, André Bourdoux, Hichem Sahli
2019 — conf
Paired Supervised Learning and Unsupervised Pretraining of CNN-Architecture for Violence Detection in Videos.
BNAIC/BENELEARN
Abel Díaz Berenguer, Meshia Cédric Oveneke, Mitchel Alioscha-Pérez, Hichem Sahli