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Artikel 6521 The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis
Enthalten in European radiology Bd. 32, 17.2.2022, Nr. 6, date:6.2022: 4101-4115
Online Ressource
Artikel 6522 The Increasing Epidemiology of Diabetes and Review of Current Treatment Algorithms
Enthalten in Journal of osteopathic medicine Bd. 110, 2010, Nr. s77: e2-e6. 5 S.
Online Ressource
Artikel 6523 The International Conference on Intelligent Biology and Medicine (ICIBM) 2020: Scalable techniques and algorithms for computational genomics
Enthalten in BMC genomics Bd. 21, 29.12.2020, Nr. 11, date:12.2020: 1-5
Online Ressource
Artikel 6524 The learning performance of the weak rescaled pure greedy algorithms
Enthalten in Journal of inequalities and applications Bd. 2024, 4.3.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 6525 The LS-SVM algorithms for boundary value problems of high-order ordinary differential equations
Enthalten in Advances in difference equations Bd. 2019, 21.5.2019, Nr. 1, date:12.2019: 1-22
Online Ressource
Artikel 6526 The maximum clique enumeration problem: algorithms, applications, and implementations
Enthalten in BMC bioinformatics Bd. 13, 25.6.2012, Nr. 10, date:6.2012: 1-11
Online Ressource
Artikel 6527 The mixture assessment or allocation factor: conceptual background, estimation algorithms and a case study example
Enthalten in Environmental sciences Europe Bd. 35, 21.7.2023, Nr. 1, date:12.2023: 1-15
Online Ressource
Artikel 6528 The neurobench framework for benchmarking neuromorphic computing algorithms and systems
Enthalten in Nature Communications Bd. 16, 11.2.2025, Nr. 1, date:12.2025: 1-24
Online Ressource
Artikel 6529 The NLO jet vertex in the small-cone approximation for kt and cone algorithms
Enthalten in Journal of high energy physics Bd. 2015, 15.4.2015, Nr. 4, date:4.2015: 1-23
Online Ressource
Artikel 6530 The Ottawa SAH search algorithms: protocol for a multi- centre validation study of primary subarachnoid hemorrhage prediction models using health administrative data (the SAHepi prediction study protocol)
Enthalten in BMC medical research methodology Bd. 18, 15.9.2018, Nr. 1, date:12.2018: 1-9
Online Ressource


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