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Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke2024 Frontiers in Artificial Intelligence article Medicine Acute Ischemic Stroke Management Open access
Jakob Sommer, Fiona Dierksen, Tal Zeevi, Emily W. Avery, Adrian Mak, Ajay Malhotra, +7 more
10citations -
Fully Automated Global Powertrain Optimization for Electric Truck Using Active Learning Algorithm and Backwards Simulation Approach2025 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Engineering Electric and Hybrid Vehicle Technologies
Bicheng Chen, Christoph Wellmann, Feihong Xia, René Savelsberg, Jakob Andert, Stefan Pischinger
2citations -
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study
Hannah Sophie Muti, Lara Rosaline Heij, Gisela Keller, Meike Kohlruss, Rupert Langer, Bastian Dislich, +29 more
127citations -
Risk of bias of prognostic models developed using machine learning: a systematic review in oncology2022 Diagnostic and Prognostic Research review Mathematics Statistical Methods in Epidemiology Open access
Paula Dhiman, Jie Ma, Constanza L. Andaur Navarro, Benjamin Speich, Garrett Scott Bullock, Johanna AAG Damen, +6 more
80citations -
MO386: Visualising and Differentiating Kidney Disorders by Urinary Peptidomics Using a Machine Learning Approach2022 Nephrology Dialysis Transplantation conference-abstract Medicine Chronic Kidney Disease and Diabetes
Justyna Siwy, Emmmanouil Mavrogeorgis, Tianlin He, Harald Mischak, Harald Rupprecht, Joachim Beige
1citations -
Novel machine learning algorithm can identify patients at risk of poor overall survival following curative resection for colorectal liver metastases2022 Journal of Hepato-Biliary-Pancreatic Sciences article Medicine Colorectal Cancer Surgical Treatments Open access
Iakovos Amygdalos, Gustav Anton Müller‐Franzes, Jan Bednarsch, Zoltán Czigány, Tom Florian Ulmer, Philipp Bruners, +4 more
21citations -
Machine learning-driven prioritization of lipoprotein(a) testing: model development and validation2026 European Journal of Preventive Cardiology article Medicine Lipoproteins and Cardiovascular Health Open access
Christophe A. T. Stevens, Fotios Barkas, Julia Brandts, Sunganani Kwilasi, Kanika Dharmayat, Amany K. Elshorbagy, +5 more
1citations -
Abstract 4137423: Can Machine Learning Help Prioritise Who to Screen for Elevated Lipoprotein(a) (Lp[a]) in the General Population vs a Screen all Approach? An Analysis from UK Biobank
Christophe A. T. Stevens, Fotios Barkas, Julia Brandts, Sunganani Kwilasi, Alireza S. Mahani, Antonio J. Vallejo‐Vaz, +2 more
0citations -
Machine learning for optimal growth temperature prediction of prokaryotes using amino acid descriptors2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access
Sophie Colette, Jérémie François, Bart De Moor, Vera van Noort
4citations -
Advancing Machine Learning for Stellar Activity and Exoplanet Period Rotation2024 arXiv (Cornell University) preprint Physics and Astronomy Stellar, planetary, and galactic studies Open access
Fatemeh Fazel Hesar, Bernard H. Foing, Ana Maria Heras, Mojtaba Raouf, Victoria Foing, Shima Javanmardi, +1 more
0citations -
Analysis code and derived data for: Demographic Shortcuts Account for Most of the Apparent Accuracy of Four-Class Gait-Based Differential Diagnosis in Neurodegenerative Disease: An Interpretability-Driven Audit of Machine Learning on a Public Gait Benchmark0citations
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Analysis code and derived data for: Demographic Shortcuts Account for Most of the Apparent Accuracy of Four-Class Gait-Based Differential Diagnosis in Neurodegenerative Disease: An Interpretability-Driven Audit of Machine Learning on a Public Gait Benchmark0citations