Paul W. G. Elbers

29 papers A* 2Misc 1Journal 21Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Leveraging weights signals - Predicting and improving generalizability in reinforcement learning. CoRR Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn
2025	J	`jnl`	ZACH-ViT: A Zero-Token Vision Transformer with ShuffleStrides Data Augmentation for Robust Lung Ultrasound Classification. CoRR Athanasios Angelakis, Amne Mousa, Micah L. A. Heldeweg, Laurens Biesheuvel, Mark A. Haaksma, Jasper M. Smit, Pieter R. Tuinman, Paul W. G. Elbers
2024	J	`jnl`	Comparative performance of intensive care mortality prediction models based on manually curated versus automatically extracted electronic health record data. Int. J. Medical Informatics Ameet R. Jagesar, Martijn Otten, Tariq A. Dam, Laurens Biesheuvel, Dave A. Dongelmans, Sylvia Brinkman, Patrick J. Thoral, Vincent François-Lavet, Armand R. J. Girbes, Nicolette de Keizer, Harm-Jan de Grooth, Paul W. G. Elbers
2024	J	`jnl`	Guideline-informed reinforcement learning for mechanical ventilation in critical care. Artif. Intell. Medicine Floris den Hengst, Martijn Otten, Paul W. G. Elbers, Frank van Harmelen, Vincent François-Lavet, Mark Hoogendoorn
2024	A*	`conf`	Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML. ICLR Robin Van De Water, Hendrik Schmidt, Paul W. G. Elbers, Patrick Thoral, Bert Arnrich, Patrick Rockenschaub
2023	J	`jnl`	Assessing the FAIRness of databases on the EHDEN portal: A case study on two Dutch ICU databases. Int. J. Medical Informatics Daniel P. Püttmann, Rowdy de Groot, Nicolette de Keizer, Ronald Cornet, Paul W. G. Elbers, Dave Dongelmans, Ferishta Bakhshi-Raiez
2023	J	`jnl`	Augmented intelligence facilitates concept mapping across different electronic health records. Int. J. Medical Informatics Tariq A. Dam, Lucas M. Fleuren, Luca F. Roggeveen, Martijn Otten, Laurens Biesheuvel, Ameet R. Jagesar, Robbert C. A. Lalisang, Robert F. J. Kullberg, Tom Hendriks, Armand R. J. Girbes, Mark Hoogendoorn, Patrick J. Thoral, Paul W. G. Elbers
2023	J	`jnl`	Determining and assessing characteristics of data element names impacting the performance of annotation using Usagi. Int. J. Medical Informatics Rowdy de Groot, Daniel P. Püttmann, Lucas M. Fleuren, Patrick J. Thoral, Paul W. G. Elbers, Nicolette F. de Keizer, Ronald Cornet
2023	J	`jnl`	Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients. Int. J. Medical Informatics Jarne Verhaeghe, Thomas De Corte, Christopher M. Sauer, Tom Hendriks, Olivier W. M. Thijssens, Femke Ongenae, Paul W. G. Elbers, Jan J. De Waele, Sofie Van Hoecke
2023	—	`conf`	Improving Generalization in Reinforcement Learning Through Forked Agents. IEA/AIE (2) Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn
2023	J	`jnl`	Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal. J. Biomed. Informatics Iacopo Vagliano, Noman Dormosh, Miguel Rios, Torec T. Luik, T. M. Buonocore, Paul W. G. Elbers, Dave A. Dongelmans, Martijn C. Schut, Ameen Abu-Hanna
2023	J	`jnl`	Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML. CoRR Robin Van De Water, Hendrik Schmidt, Paul W. G. Elbers, Patrick Thoral, Bert Arnrich, Patrick Rockenschaub
2022	J	`jnl`	Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records. Int. J. Medical Informatics Iacopo Vagliano, Martijn C. Schut, Ameen Abu-Hanna, Dave A. Dongelmans, Dylan W. De Lange, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Remko de Jong, Marco A. A. Peters, Marlijn J. A. Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G. C. A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G. M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans, Cornelis P. C. de Jager, Stefaan H. A. Hendriks, Sefanja Achterberg, Evelien Oostdijk, Auke C. Reidinga, Barbara Festen-Spanjer, Gert B. Brunnekreef, Alexander D. Cornet, Walter van den Tempel, Age D. Boelens, Peter Koetsier, Judith Lens, Harald J. Faber, Attila Karakus, Robert Entjes, Paul de Jong, Thijs C. D. Rettig, Merijn C. Reuland, M. Sesmu Arbous, Lucas M. Fleuren, Tariq A. Dam, Patrick J. Thoral, Robbert C. A. Lalisang, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers, Nicolette F. de Keizer
2022	J	`jnl`	Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands. Int. J. Medical Informatics Iacopo Vagliano, Sylvia Brinkman, Ameen Abu-Hanna, M. Sesmu Arbous, Dave A. Dongelmans, Paul W. G. Elbers, Dylan W. De Lange, Mihaela van der Schaar, Nicolette F. de Keizer, Martijn C. Schut
2022	J	`jnl`	Improving adaptability to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents. CoRR Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn
2022	—	`conf`	Improving generalization to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents. WI/IAT Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn
2022	Misc	`conf`	Predicting readmission or death after discharge from the ICU: External validation and retraining of a machine learning model. AMIA Anne De Hond, Ilse M. J. Kant, Mattia Fornasa, Giovanni Cinà, Paul W. G. Elbers, Patrick Thoral, M. Sesmu Arbous, Ewout W. Steyerberg
2022	—	`conf`	Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database. MIE Michael Fujarski, Christian Porschen, Lucas Plagwitz, Alexander Brenner, Narges Ghoreishi, Patrick Thoral, Harm-Jan de Grooth, Paul W. G. Elbers, Raphael Weiss, Melanie Meersch, Alexander Zarbock, Thilo Caspar von Groote, Julian Varghese
2021	J	`jnl`	A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients. CoRR Adam Izdebski, Patrick J. Thoral, Robbert C. A. Lalisang, Dean M. McHugh, Robert Entjes, Nardo J. M. van der Meer, Dave A. Dongelmans, Age D. Boelens, Sander Rigter, Stefaan H. A. Hendriks, Remko de Jong, Marlijn J. A. Kamps, Marco A. A. Peters, A. Karakus, Diederik Gommers, Dharmanand Ramnarain, Evert-Jan Wils, Sefanja Achterberg, Ralph Nowitzky, Walter van den Tempel, Cornelis P. C. de Jager, Fleur G. C. A. Nooteboom, Evelien Oostdijk, Peter Koetsier, Alexander D. Cornet, Auke C. Reidinga, Wouter de Ruijter, Rob J. Bosman, Tim Frenzel, Louise C. Urlings-Strop, Paul de Jong, Ellen G. M. Smit, Olaf L. Cremer, Frits H. M. van Osch, Harald J. Faber, Judith Lens, Gert B. Brunnekreef, Barbara Festen-Spanjer, Tom Dormans, Bram Simons, A. A. Rijkeboer, Annemieke Dijkstra, M. Sesmu Arbous, Marcel Aries, Menno Beukema, Rutger van Raalte, Martijn van Tellingen, Niels C. Gritters van den Oever, Paul W. G. Elbers, Giovanni Cinà
2021	A*	`conf`	Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. NeurIPS Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar
2021	J	`jnl`	Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. CoRR Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar
2021	J	`jnl`	Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation. CoRR Karina Zadorozhny, Patrick Thoral, Paul W. G. Elbers, Giovanni Cinà
2021	J	`jnl`	Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis. Artif. Intell. Medicine Luca F. Roggeveen, Ali el Hassouni, Jonas Ahrendt, Tingjie Guo, Lucas M. Fleuren, Patrick Thoral, Armand R. J. Girbes, Mark Hoogendoorn, Paul W. G. Elbers
2020	J	`jnl`	Hide-and-Seek Privacy Challenge. CoRR James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
2020	—	`conf`	Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. NeurIPS (Competition and Demos) James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
2019	J	`jnl`	Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications. CoRR David Ruhe, Giovanni Ciná, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers
2019	—	`conf`	Transferring Clinical Prediction Models Across Hospitals and Electronic Health Record Systems. PKDD/ECML Workshops (1) Alicia Curth, Patrick Thoral, Wilco van den Wildenberg, Peter Bijlstra, Daan P. de Bruin, Paul W. G. Elbers, Mattia Fornasa
2012	J	`jnl`	Erratum to: Rapid automatic assessment of microvascular density in sidestream dark field images. Medical Biol. Eng. Comput. Rick Bezemer, Johannes G. G. Dobbe, Sebastiaan A. Bartels, E. Christiaan Boerma, Paul W. G. Elbers, Michal Heger, Can Ince
2011	J	`jnl`	Rapid automatic assessment of microvascular density in sidestream dark field images. Medical Biol. Eng. Comput. Rick Bezemer, Johannes G. G. Dobbe, Sebastiaan A. Bartels, E. Christiaan Boerma, Paul W. G. Elbers, Michal Heger, Can Ince