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25991 |
Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques
Enthalten in Cancer imaging Bd. 20, 5.8.2020, Nr. 1, date:12.2020: 1-13
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25992 |
Radiomics integration based on intratumoral and peritumoral computed tomography improves the diagnostic efficiency of invasiveness in patients with pure ground-glass nodules: a machine learning, cross-sectional, bicentric study
Enthalten in Journal of cardiothoracic surgery Bd. 20, 11.2.2025, Nr. 1, date:12.2025: 1-9
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25993 |
Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules
Enthalten in European radiology Bd. 30, 23.8.2019, Nr. 1, date:1.2020: 558-570
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25994 |
Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging
Enthalten in The international journal of cardiovascular imaging Bd. 40, 25.9.2024, Nr. 11, date:11.2024: 2405-2415
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25995 |
Radiomics, machine learning, and artificial intelligence—what the neuroradiologist needs to know
Enthalten in Neuroradiology Bd. 63, 18.9.2021, Nr. 12, date:12.2021: 1957-1967
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25996 |
Radiotranscriptomics of non-small cell lung carcinoma for assessing high-level clinical outcomes using a machine learning-derived multi-modal signature
Enthalten in Biomedical engineering online Bd. 22, 15.12.2023, Nr. 1, date:12.2023: 1-18
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25997 |
RADS: a real-time anomaly detection model for software-defined networks using machine learning
Enthalten in International journal of information security Bd. 22, 7.7.2023, Nr. 6, date:12.2023: 1881-1891
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25998 |
Rainfall-runoff modeling using machine learning in the ungauged urban watershed of Quetta Valley, Balochistan (Pakistan)
Enthalten in Earth science informatics Bd. 17, 15.4.2024, Nr. 3, date:6.2024: 2661-2677
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25999 |
RAIN: machine learning-based identification for HIV-1 bNAbs
Enthalten in Nature Communications Bd. 15, 24.6.2024, Nr. 1, date:12.2024: 1-16
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26000 |
RAISE THE ROOF: TOWARDS GENERATING LOD2 MODELS WITHOUT AERIAL SURVEYS USING MACHINE LEARNING
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. IV-4/W8, 2019: 27-34
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