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11281 |
QUBO formulations for training machine learning models
Enthalten in Scientific reports Bd. 11, 11.5.2021, Nr. 1, date:12.2021: 1-10
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11282 |
Radar sensor based machine learning approach for precise vehicle position estimation
Enthalten in Scientific reports Bd. 13, 24.8.2023, Nr. 1, date:12.2023: 1-17
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11283 |
Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma
Enthalten in Journal of translational medicine Bd. 23, 27.1.2025, Nr. 1, date:12.2025: 1-16
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11284 |
Radiomic study of common sellar region lesions differentiation in magnetic resonance imaging based on multi-classification machine learning model
Enthalten in BMC medical imaging Bd. 25, 3.5.2025, Nr. 1, date:12.2025: 1-11
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11285 |
Radiomics-based machine learning analysis and characterization of breast lesions with multiparametric diffusion-weighted MR
Enthalten in Journal of translational medicine Bd. 19, 24.10.2021, Nr. 1, date:12.2021: 1-10
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11286 |
Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas
Enthalten in Journal of cancer research and clinical oncology Bd. 145, 4.2.2019, Nr. 3, date:3.2019: 543-550
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11287 |
Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest
Enthalten in Scientific reports Bd. 12, 14.6.2022, Nr. 1, date:12.2022: 1-13
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11288 |
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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11289 |
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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11290 |
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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