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11831 |
Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine
Enthalten in European Association for Predictive, Preventive and Personalised Medicine: The EPMA journal Bd. 13, 12.11.2022, Nr. 4, date:12.2022: 633-647
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11832 |
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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11833 |
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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11834 |
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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11835 |
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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11836 |
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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11837 |
Raman hyperspectroscopy of saliva and machine learning for Sjögren’s disease diagnostics
Enthalten in Scientific reports Bd. 14, 15.5.2024, Nr. 1, date:12.2024: 1-8
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11838 |
Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms
Enthalten in International journal of computational intelligence systems Bd. 17, 4.11.2024, Nr. 1, date:12.2024: 1-17
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11839 |
Rapid and non-destructive identification of Anopheles gambiae and Anopheles arabiensis mosquito species using Raman spectroscopy via machine learning classification models
Enthalten in Malaria journal Bd. 22, 8.11.2023, Nr. 1, date:12.2023: 1-11
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11840 |
Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning
Enthalten in Malaria journal Bd. 23, 26.3.2024, Nr. 1, date:12.2024: 1-11
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