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15431 |
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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15432 |
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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15433 |
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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15434 |
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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15435 |
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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15436 |
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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15437 |
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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15438 |
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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15439 |
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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15440 |
Rapid classification of group B Streptococcus serotypes based on matrix-assisted laser desorption ionization-time of flight mass spectrometry and machine learning techniques Enthalten in BMC bioinformatics Bd. 20, 24.12.2019, Nr. 19, date:12.2019: 1-17
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