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PEACE: Private and Energy-Efficient Algorithm for Cardiac Evaluation on the EDGE using Modified Split Learning and Model Quantization2023 International Conference on Information and Communication Systems (ICICS) conference-paper Medicine ECG Monitoring and Analysis
Ahmad Ayad, Mahdi Barhoush, Johnson Loh, Tobias Gemmeke, Anke Schmeink
5citations -
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review2022 BMC Medical Research Methodology 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
150citations -
Deep learning for automated segmentation of central cartilage tumors on MRI2025 European Radiology Experimental article Computer Science Medical Image Segmentation Techniques Open access
Salvatore Gitto, Anna Corti, Kirsten van Langevelde, Ana Navas Cañete, Antonino Cincotta, Carmelo Messina, +5 more
4citations -
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