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11721 |
The value of machine learning based on CT radiomics in the preoperative identification of peripheral nerve invasion in colorectal cancer: a two-center study
Enthalten in Insights into imaging Bd. 15, 5.4.2024, Nr. 1, date:12.2024: 1-11
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11722 |
The value of machine learning technology and artificial intelligence to enhance patient safety in spine surgery: a review
Enthalten in Patient safety in surgery Bd. 18, 25.3.2024, Nr. 1, date:12.2024: 1-6
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11723 |
The value of multiparametric MRI radiomics and machine learning in predicting preoperative Ki-67 expression level in breast cancer
Enthalten in BMC medical imaging Bd. 25, 7.1.2025, Nr. 1, date:12.2025: 1-9
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11724 |
The value of radiomics-based CT combined with machine learning in the diagnosis of occult vertebral fractures
Enthalten in BMC musculoskeletal disorders Bd. 24, 17.10.2023, Nr. 1, date:12.2023: 1-9
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11725 |
The Zhu-Lu formula: a machine learning-based intraocular lens power calculation formula for highly myopic eyes
Enthalten in Eye and Vision Bd. 10, 1.6.2023, Nr. 1, date:12.2023: 1-10
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11726 |
Theoretical investigations on analysis and optimization of freeze drying of pharmaceutical powder using machine learning modeling of temperature distribution
Enthalten in Scientific reports Bd. 15, 6.1.2025, Nr. 1, date:12.2025: 1-15
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11727 |
Thermal maturity and TOC prediction using machine learning techniques: case study from the Cretaceous–Paleocene source rock, Taranaki Basin, New Zealand
Enthalten in Journal of petroleum exploration and production technology Bd. 10, 14.5.2020, Nr. 6, date:8.2020: 2175-2193
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11728 |
Thermal performance prediction of a V-trough solar water heater with a modified twisted tape using ANFIS, G.L.R., R.T. and SVM models of machine learning
Enthalten in Scientific reports Bd. 14, 8.11.2024, Nr. 1, date:12.2024: 1-15
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11729 |
Thermodynamically-guided machine learning modelling for predicting the glass-forming ability of bulk metallic glasses
Enthalten in Scientific reports Bd. 12, 11.7.2022, Nr. 1, date:12.2022: 1-10
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11730 |
Three-dimensional magnetic resonance imaging-based statistical shape analysis and machine learning-based prediction of patellofemoral instability
Enthalten in Scientific reports Bd. 14, 18.5.2024, Nr. 1, date:12.2024: 1-10
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