|
26351 |
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
|
|
|
|
26352 |
Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules
Enthalten in European radiology Bd. 30, 23.8.2019, Nr. 1, date:1.2020: 558-570
|
|
|
|
26353 |
Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging
Enthalten in The international journal of cardiovascular imaging Bd. 40, 25.9.2024, Nr. 11, date:11.2024: 2405-2415
|
|
|
|
26354 |
Radiomics, machine learning, and artificial intelligence—what the neuroradiologist needs to know
Enthalten in Neuroradiology Bd. 63, 18.9.2021, Nr. 12, date:12.2021: 1957-1967
|
|
|
|
26355 |
Radiotranscriptomics of non-small cell lung carcinoma for assessing high-level clinical outcomes using a machine learning-derived multi-modal signature
Enthalten in Biomedical engineering online Bd. 22, 15.12.2023, Nr. 1, date:12.2023: 1-18
|
|
|
|
26356 |
RADS: a real-time anomaly detection model for software-defined networks using machine learning
Enthalten in International journal of information security Bd. 22, 7.7.2023, Nr. 6, date:12.2023: 1881-1891
|
|
|
|
26357 |
Rainfall-runoff modeling using machine learning in the ungauged urban watershed of Quetta Valley, Balochistan (Pakistan)
Enthalten in Earth science informatics Bd. 17, 15.4.2024, Nr. 3, date:6.2024: 2661-2677
|
|
|
|
26358 |
RAIN: machine learning-based identification for HIV-1 bNAbs
Enthalten in Nature Communications Bd. 15, 24.6.2024, Nr. 1, date:12.2024: 1-16
|
|
|
|
26359 |
RAISE THE ROOF: TOWARDS GENERATING LOD2 MODELS WITHOUT AERIAL SURVEYS USING MACHINE LEARNING
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. IV-4/W8, 2019: 27-34
|
|
|
|
26360 |
Raman fiber-optic probe for rapid diagnosis of gastric and esophageal tumors with machine learning analysis or similarity assessments: a comparative study
Enthalten in Analytical and bioanalytical chemistry Bd. 416, 25.9.2024, Nr. 29, date:12.2024: 6759-6772
|
|
Administration
