Not finding it? Sign in to also search OpenAlex live.
-
Applications of machine learning and deep learning in musculoskeletal medicine: a narrative review2025 European journal of medical research review Medicine Artificial Intelligence in Healthcare and Education Open access
Martina Feierabend, Julius Michael Wolfgart, Maximilian Praster, Marina Danalache, Filippo Migliorini, Ulf Krister Hofmann
7citations -
Swarm Learning for decentralized and confidential clinical machine learning2021 Nature article Computer Science Privacy-Preserving Technologies in Data Open access cited by 9 patents
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry, Sathyanarayanan Manamohan, Saikat Mukherjee, Vishesh Garg, +91 more
901citations -
Handwork vs machine: a comparison of rheumatoid arthritis patient populations as identified from EHR free-text by diagnosis extraction through machine-learning or traditional criteria-based chart review2021 Arthritis Research & Therapy article Computer Science Machine Learning in Healthcare Open access
Tjardo Daniël Maarseveen, Marc P. Maurits, Ellis Niemantsverdriet, Annette H M van der Helm–van Mil, Tom W. J. Huizinga, Rachel Knevel
24citations -
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 -
Machine Learning Applications for Mass Spectrometry-Based Metabolomics2020 Metabolites article Biochemistry, Genetics and Molecular Biology Metabolomics and Mass Spectrometry Studies Open access cited by 7 patents
Ulf W. Liebal, Phan Nguyen Thuy An, Malvika Sudhakar, Karthik Raman, Lars M. Blank
375citations -
Learning multiple defaults for machine learning algorithms2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Machine Learning and Data Classification Open access
Florian Pfisterer, Jan N. van Rijn, Philipp Probst, Andreas Christian Müller, Bernd Bischl
28citations -
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, Marie-France Savard, +18 more
0citations -
Transfer Learning and Machine Learning for Training Five Year Survival Prognostic Models in Early Breast Cancer2025 arXiv (Cornell University) preprint 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