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10721 |
Noninvasive imaging-based machine learning algorithm to identify progressive disease in advanced hepatocellular carcinoma receiving second-line systemic therapy Enthalten in Scientific reports Bd. 13, 1.7.2023, Nr. 1, date:12.2023: 1-10
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10722 |
Noninvasive prediction of Blood Lactate through a machine learning-based approach Enthalten in Scientific reports Bd. 9, 18.2.2019, Nr. 1, date:12.2019: 1-7
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10723 |
Noninvasive prediction of failure of the conservative treatment in lateral epicondylitis by clinicoradiological features and elbow MRI radiomics based on interpretable machine learning: a multicenter cohort study Enthalten in Journal of orthopaedic surgery and research Bd. 20, 24.5.2025, Nr. 1, date:12.2025: 1-12
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10724 |
Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine learning model Enthalten in Biomedical engineering online Bd. 23, 18.6.2024, Nr. 1, date:12.2024: 1-13
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10725 |
Noninvasive prediction of node-positive breast cancer response to presurgical neoadjuvant chemotherapy therapy based on machine learning of axillary lymph node ultrasound Enthalten in Journal of translational medicine Bd. 21, 21.5.2023, Nr. 1, date:12.2023: 1-11
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10726 |
Nonlinear and machine learning analyses on high-density EEG data of math experts and novices Enthalten in Scientific reports Bd. 13, 17.5.2023, Nr. 1, date:12.2023: 1-14
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10727 |
Nonlinear approximation in bounded orthonormal product bases Enthalten in Sampling theory, signal processing, and data analysis Bd. 21, 22.5.2023, Nr. 1, date:6.2023: 1-40
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10728 |
Nonlinear optimal control for the five-axle and three-steering coupled-vehicle system Enthalten in Autonomous intelligent systems Bd. 5, 23.4.2025, Nr. 1, date:12.2025: 1-22
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10729 |
Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis Enthalten in BMC bioinformatics Bd. 24, 12.5.2023, Nr. 1, date:12.2023: 1-14
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10730 |
Not all biases are bad: equitable and inequitable biases in machine learning and radiology Enthalten in Insights into imaging Bd. 12, 10.2.2021, Nr. 1, date:12.2021: 1-10
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