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Unlocking the potential of unlabeled data: Self-supervised machine learning for battery aging diagnosis with real-world field data2024 Journal of Energy Chemistry article Engineering Advanced Battery Technologies Research Open access
Qiao Wang, Min Ye, Sehriban Celik, Zhongwei Deng, Bin Li, Dirk Uwe Sauer, +1 more
32citations -
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 -
Potential Application of Machine-Learning-Based Quantum Chemical Methods in Environmental Chemistry2022 Environmental Science & Technology article Materials Science Machine Learning in Materials Science Open access
Deming Xia, Jingwen Chen, Zhiqiang Fu, Tong Xu, Zhongyu Wang, Wenjia Liu, +2 more
61citations -
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study2021 Journal of Medical Internet Research article Computer Science AI in cancer detection Open access
Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, +11 more
64citations -
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 -
The potential of deep learning to reduce complexity in energy system modeling2021 International Journal of Energy Research article Engineering Integrated Energy Systems Optimization Open access
Clara Sophie Köhnen, Jan Priesmann, Lars Nolting, Leander Kotzur, Martin Robinius, Aaron Praktiknjo
15citations -
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 -
Envisaging a global infrastructure to exploit the potential of digitised collections2023 Biodiversity Data Journal article Computer Science Research Data Management Practices Open access
Quentin Groom, Mathias Dillen, Wouter Addink, Arturo H. Ariño, Pierre Bonnet, Lorenzo Cecchi, +29 more
11citations -
Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study2026 Journal of Medical Internet Research article Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies Open access
Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless, Gregory R. Pond, Lisa Vandermeer, John Frederick Hilton, +19 more
0citations -
Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study2026 Journal of Medical Internet Research article Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies Open access
Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless, Gregory R. Pond, Lisa Vandermeer, John Frederick Hilton, +17 more
0citations