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	1	Automating assist identification in football (soccer): a machine learning approach using event and tracking data Klemmer, Maike. - Münster : FH Münster - University of Applied Sciences, 2026
	2	Machine learning-based short-term forecasting of COVID-19 hospital admissions using routine hospital patient data Wohlfender, Martin S.. - Augsburg : Universität Augsburg, 2026
	3	Shuntless current measurement in sector-shaped power grid cables: A simulation and machine learning approach Pogorzelski, Jens. - Münster : FH Münster - University of Applied Sciences, 2026
	4	Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning study Brandenburg, Johanna. - Reutlingen : Hochschule Reutlingen, 2026
	5	PipFHE: Resource-Efficient Privacy-Preserving Deep CNN Inference via Padded Batch Packing and Channel Merging over FHE Enthalten in IACR transactions on cryptographic hardware and embedded systems Bd. 2026, 2026, Nr. 1
	6	WW-FL: Secure and Private Large-Scale Federated Learning Enthalten in IACR transactions on cryptographic hardware and embedded systems Bd. 2026, 2026, Nr. 1
	7	Deep Learning and Radiomics for Gastric Cancer Lymph Node Metastasis: Automated Segmentation and Multi-Machine Learning Study from Two Centers Enthalten in Oncology Bd. 104, 2026, Nr. 1: 63-78. 16 S.
	8	Machine learning predictions for regioselectivity of hydroformylation reactions: leveraging limited data for high-precision results Enthalten in Pure and applied chemistry Bd. 98, 2026, Nr. 1: 61-74. 14 S.
	9	EFLM checklist for the assessment of AI/ML studies in laboratory medicine: enhancing general medical AI frameworks for laboratory-specific applications Enthalten in Clinical chemistry and laboratory medicine Bd. 64, 2026, Nr. 1: 27-40. 14 S.
	10	The role of AI in pre-analytical phase – use cases Enthalten in Clinical chemistry and laboratory medicine Bd. 64, 2026, Nr. 1: 4-21. 18 S.

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