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10791 |
Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition
Enthalten in Scientific reports Bd. 9, 5.3.2019, Nr. 1, date:12.2019: 1-10
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10792 |
Particle reconstruction of volumetric particle image velocimetry with the strategy of machine learning
Enthalten in Advances in aerodynamics Bd. 3, 23.9.2021, Nr. 1, date:12.2021: 1-14
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10793 |
Partitioned least squares
Enthalten in Machine learning Bd. 113, 15.7.2024, Nr. 9, date:9.2024: 6839-6869
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10794 |
Pathologist-trained machine learning classifiers developed to quantitate celiac disease features differentiate endoscopic biopsies according to modified marsh score and dietary intervention response
Enthalten in Diagnostic pathology Bd. 18, 11.11.2023, Nr. 1, date:12.2023: 1-12
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10795 |
Pathomic model based on histopathological features and machine learning to predict IDO1 status and its association with breast cancer prognosis
Enthalten in Breast cancer research and treatment Bd. 207, 23.5.2024, Nr. 1, date:8.2024: 151-165
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10796 |
Pathomics-based machine learning models for predicting pathological complete response and prognosis in locally advanced rectal cancer patients post-neoadjuvant chemoradiotherapy: insights from two independent institutional studies
Enthalten in BMC cancer Bd. 24, 26.12.2024, Nr. 1, date:12.2024: 1-13
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10797 |
Patient classification and attribute assessment based on machine learning techniques in the qualification process for surgical treatment of adrenal tumours
Enthalten in Scientific reports Bd. 14, 16.5.2024, Nr. 1, date:12.2024: 1-11
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10798 |
Patient similarity and other artificial intelligence machine learning algorithms in clinical decision aid for shared decision-making in the Prevention of Cardiovascular Toxicity (PACT): a feasibility trial design
Enthalten in Cardio-Oncology Bd. 9, 23.1.2023, Nr. 1, date:12.2023: 1-10
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10799 |
Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures
Enthalten in Nature Communications Bd. 11, 23.10.2020, Nr. 1, date:12.2020: 1-10
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10800 |
Pattern recognition with machine learning on optical microscopy images of typical metallurgical microstructures
Enthalten in Scientific reports Bd. 8, 1.2.2018, Nr. 1, date:12.2018: 1-8
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Administration
