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10611 |
Mountain flood forecasting in small watershed based on loop multi-step machine learning regression model
Enthalten in Scientific reports Bd. 15, 11.4.2025, Nr. 1, date:12.2025: 1-22
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10612 |
MP4: a machine learning based classification tool for prediction and functional annotation of pathogenic proteins from metagenomic and genomic datasets
Enthalten in BMC bioinformatics Bd. 23, 28.11.2022, Nr. 1, date:12.2022: 1-17
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10613 |
MP: motion program synthesis with machine learning interpretability and knowledge graph analogy
Enthalten in Automated software engineering Bd. 32, 18.2.2025, Nr. 1, date:5.2025: 1-40
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10614 |
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
Enthalten in BMC medical informatics and decision making Bd. 23, 23.1.2023, Nr. 1, date:12.2023: 1-17
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10615 |
MRI-based machine learning models predict the malignant biological behavior of meningioma
Enthalten in BMC medical imaging Bd. 23, 27.9.2023, Nr. 1, date:12.2023: 1-9
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10616 |
MRI-based machine learning reveals proteasome subunit PSMB8-mediated malignant glioma phenotypes through activating TGFBR1/2-SMAD2/3 axis
Enthalten in Molecular biomedicine Bd. 6, 8.5.2025, Nr. 1, date:12.2025: 1-16
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10617 |
MRI-based radiomic and machine learning for prediction of lymphovascular invasion status in breast cancer
Enthalten in BMC medical imaging Bd. 24, 27.11.2024, Nr. 1, date:12.2024: 1-9
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10618 |
MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities
Enthalten in La Radiologia medica Bd. 128, 19.6.2023, Nr. 8, date:8.2023: 989-998
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10619 |
MRI radiomics based on machine learning in high-grade gliomas as a promising tool for prediction of CD44 expression and overall survival
Enthalten in Scientific reports Bd. 15, 3.3.2025, Nr. 1, date:12.2025: 1-13
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10620 |
MRI texture-based machine learning models for the evaluation of renal function on different segmentations: a proof-of-concept study
Enthalten in Insights into imaging Bd. 14, 6.2.2023, Nr. 1, date:12.2023: 1-9
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