Publications

S. Fundikira, P. Chillo, M. Z. Alimohamed, H. Mayala, E. Kifai, G. M. Aloyce, A. Kamuhabwa, G. Kwesigabo, L. W. van Laake, F. W. Asselbergs (29 Febrary 2024), “Characterization of Non-Ischemic Dilated Cardiomyopathy in a Native Tanzanian Cohort: MOYO Study”, Global Heart

N. Hukerikara, A. D. Hingorani, F. W. Asselbergs, C. Finan, A. F. Schmidt (26 January 2024), “Prioritising genetic findings for drug target identification and validation”, Atherosclerosis

A. Molenaar, B. J. Bouma, F. W. Asselbergs, N. J. Verouden, J. L. Selder, S. A. J. Chamuleau, M. J. Schuuring (22 January 2024), “Explainable machine learning using echocardiography to improve risk prediction in patients with chronic coronary syndrome”, European Heart Journal – Digital Health

J. Boonstra, D. Weissenbacher, J. H. Moore, G. Gonzalez-Hernandez,  F. W. Asselbergs (03 January 2024), “Artificial intelligence: revolutionizing cardiology with large language models”, European Heart Journal

S. van Royen, F. W. Asselbergs, F. Alfonso, P. Vardas,  M. van Smeden (28 October 2023), “Five critical quality criteria for artificial intelligence-based prediction models”, European Heart Journal

W. Asselbergs, D. Kotecha (21 September 2023), “The CODE-EHR global framework: lifting the veil on health record data”, European Heart Journal

S. Lima-López, E. Farré-Maduell, V. Brivá-Iglesias, L. Gascó, M. Krallinger (12 September 2023), “MEDDOPLACE Shared Task overview: recognition, normalization and classification of locations and patient movement in clinical texts”, Procesamiento del Lenguaje Natural

F. Schmidt, P. Leinveber, R. Panovsky, L. Soukup, P. Machac , R. R. van de Leur , A. Sammani, K. Lekadir, A. Ter Riele,  F. W. Asselbergs, M. J. Boonstra (11 September 2023), “DCM-PROGRESS: predicting end-stage heart failure in non-ischemic dilated cardiomyopathy patients”, MedRxiv

M. D. Danu, G. Marica, S. K. Karn, B. Georgescu, A. Mansoor, F. Ghesu, L. Mihai Itu, C. Suciu, S. Grbic, O. Farri, and D. Comaniciu (18 June 2023), “Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge“, Science Direct

A.F. Schmidt, M. Bourfiss, A. Alasiri, E. Puyol-Anton, S. Chopade, M. Van Vugt, S. W. Van Der Laan, C. Gross, C. Clarkson, A. Henry, T. R. Lumbers, P. Van Der Harst, N. Franceschini, J. C. Bis, B. K. Velthuis, A. S. J. M. Te Riele, A. D. Hingorani, B. Ruijsink, F. W. Asselbergs, J. Van Setten, and C. Finan (26 April 2023), “Druggable proteins influencing cardiac structure and function: Implications for heart failure therapies and cancer cardiotoxicity”, Science Advances

A. Salih, I. Boscolo Galazzo, P. Gkontra, A. M. Lee, K. Lekadir, Z. Raisi-Estabragh, and S. E. Petersen (12 April 2023), “Explainable Artificial Intelligence and Cardiac Imaging: Toward More Interpretable Models“, Circulation: Cardiovascular Imaging.

W. R. Punter, O. Papapetrou, M. Garofalakis (12 September 2023), “OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates”, arXiv

D. Danu, G. Marica, S. K. Karn, B. Georgescu, A. Mansoor, F. Ghesu, L. Mihai Itu, C. Suciu, S. Grbic, O. Farri, D. Comaniciu (18 June 2023), “Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge”, Procedia Computer Science

A. Nentidis, A. Krithara, G. Paliouras, E. Farre Maduell; S. Lima Lopez; M. Krallinger, Martin (16 March 2023), Lecture Notes in Computer Science: “BioASQ at CLEF2023: The Eleventh Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge”, Advances in Information Retrieval