|
11371 |
QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research
Enthalten in European radiology experimental Bd. 7, 22.3.2023, Nr. 1, date:12.2023: 1-13
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11372 |
Quantitative classification evaluation model for tight sandstone reservoirs based on machine learning
Enthalten in Scientific reports Bd. 14, 5.9.2024, Nr. 1, date:12.2024: 1-20
|
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|
|
11373 |
Quantitative design rules for protein-resistant surface coatings using machine learning
Enthalten in Scientific reports Bd. 9, 22.1.2019, Nr. 1, date:12.2019: 1-12
|
|
|
|
11374 |
Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies
Enthalten in Scientific reports Bd. 12, 11.6.2022, Nr. 1, date:12.2022: 1-10
|
|
|
|
11375 |
Quantitative prediction of disinfectant tolerance in Listeria monocytogenes using whole genome sequencing and machine learning
Enthalten in Scientific reports Bd. 15, 26.3.2025, Nr. 1, date:12.2025: 1-11
|
|
|
|
11376 |
Quantitative texture analysis using machine learning for predicting interpretable pulmonary perfusion from non-contrast computed tomography in pulmonary embolism patients
Enthalten in Respiratory research Bd. 25, 28.10.2024, Nr. 1, date:12.2024: 1-15
|
|
|
|
11377 |
Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography
Enthalten in Nature Communications Bd. 14, 16.11.2023, Nr. 1, date:12.2023: 1-11
|
|
|
|
11378 |
Quantum-accurate machine learning potentials for metal-organic frameworks using temperature driven active learning
Enthalten in npj computational materials Bd. 10, 8.10.2024, Nr. 1, date:12.2024: 1-13
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|
11379 |
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning
Enthalten in Quantum machine intelligence Bd. 5, 2.5.2023, Nr. 1, date:6.2023: 1-11
|
|
|
|
11380 |
Quantum annealing versus classical machine learning applied to a simplified computational biology problem
Enthalten in npj Quantum information Bd. 4, 21.2.2018, Nr. 1, date:12.2018: 1-10
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