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Improving the Detection of Potential Cases of Familial Hypercholesterolemia: Could Machine Learning Be Part of the Solution?2024 Journal of the American Heart Association article Medicine Lipoproteins and Cardiovascular Health Open access
Christophe A. T. Stevens, Antonio J. Vallejo‐Vaz, Joana Rita Chora, Fotios Barkas, Julia Brandts, Alireza S. Mahani, +3 more
6citations -
A scoping review of the use of e-learning and e-consultation for healthcare workers in low- and middle-income countries and their potential complementarity2021 Journal of the American Medical Informatics Association article Medicine Innovations in Medical Education Open access
Alma Ionescu, Peter G. M. de Jong, Stenvert L. S. Drop, Sanne Christine van Kampen
19citations -
Estimating the Potential Cardiovascular Benefit of Lifestyle Risk Factors Using Causal Machine Learning: Insights from UK Biobank2026 American Journal of Preventive Cardiology article Medicine Cardiovascular Health and Risk Factors Open access
Christophe A. T. Stevens, Julia Brandts, Amany K. Elshorbagy, Fotis Barkas, Dídac Llop, Kanika Dharmayat, +6 more
0citations -
Large-scale insights into the biosynthetic potential of the Bacillus cereus group2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Medicine Microbial Natural Products and Biosynthesis Open access
J. Blom, Joseph Wambui, Hadrien Gourlé, Martin F. Larralde, Vignesh Ramnath, Johan Henriksson, +1 more
0citations -
Learning deliberate reflection in medical diagnosis: does learning-by-teaching help?2022 Advances in Health Sciences Education article Medicine Clinical Reasoning and Diagnostic Skills Open access
Josepha Kuhn, Sílvia Mamede, Laura Zwaan, Petra G. van Peet, Patrick Bindels, Tamara van Gog
14citations -
Learning to deep learning: statistics and a paradigm test in selecting a UNet architecture to enhance MRI2023 Magnetic Resonance Materials in Physics Biology and Medicine article Medicine Advanced MRI Techniques and Applications Open access
Rishabh Sharma, Panagiotis Tsiamyrtzis, ANDREW G. WEBB, Ernst L. Leiss, Nikolaos V. Tsekos
10citations -
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease2023 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Janne M. Papma, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, +6 more
1citations -
A Machine Learning Algorithm to Identify Patients with Possible Non-Dialysis-Dependent CKD2021 Journal of the American Society of Nephrology article Medicine Chronic Kidney Disease and Diabetes
Thierry Lobbedez, Karim Dardim, Arnaud Panes, Gwendoline Poinsot, Jérôme Fernandes, Laurence Dubel, +1 more
0citations -
Deep learning image enhancement algorithms in PET/CT imaging: a phantom and sarcoma patient radiomic evaluation2025 European Journal of Nuclear Medicine and Molecular Imaging article Medicine Radiomics and Machine Learning in Medical Imaging Open access
Lara M. Bonney, Gijsbert M. Kalisvaart, Floris H. P. van Velden, Kevin Martin Bradley, Andrew Bassim Hassan, Willem Grootjans, +1 more
8citations -
End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning2025 BMC Artificial Intelligence article Medicine Radiomics and Machine Learning in Medical Imaging Open access
Asier Rabasco Meneghetti, Marta Ligero, Jens‐Peter Kühn, Steffen Löck, Zunamys Itzell Carrero, Raquel Pérez-López, +6 more
3citations -
Machine Learning Algorithms Evaluate Immune Response to Novel Mycobacterium tuberculosis Antigens for Diagnosis of Tuberculosis2021 Frontiers in Cellular and Infection Microbiology article Medicine Tuberculosis Research and Epidemiology Open access
Noëmi Meier, Thomas M. Sutter, Marc Jacobsen, Tom H. M. Ottenhoff, Julia Elisabeth Vogt, Nicole Ritz
23citations -
Learning-based autonomous navigation, benchmark environments and simulation framework for endovascular interventions2025 Computers in Biology and Medicine article Medicine Surgical Simulation and Training Open access
Lennart Karstensen, Johannes Hatzl, Benjamin M. Jackson, Jens Langejürgen, Katharina Breininger, Christian Uhl, +4 more
9citations