|
10611 |
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
|
|
|
|
10612 |
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
|
|
|
|
10613 |
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
|
|
|
|
10614 |
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
|
|
|
|
10615 |
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
|
|
|
|
10616 |
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
|
|
|
|
10617 |
MSLP: mRNA subcellular localization predictor based on machine learning techniques
Enthalten in BMC bioinformatics Bd. 24, 22.3.2023, Nr. 1, date:12.2023: 1-23
|
|
|
|
10618 |
mSRFR: a machine learning model using microalgal signature features for ncRNA classification
Enthalten in BioData Mining Bd. 15, 21.3.2022, Nr. 1, date:12.2022: 1-11
|
|
|
|
10619 |
Multi-ahead electrical conductivity forecasting of surface water based on machine learning algorithms
Enthalten in Applied water science Bd. 13, 8.9.2023, Nr. 10, date:10.2023: 1-20
|
|
|
|
10620 |
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients
Enthalten in Cancer imaging Bd. 23, 3.8.2023, Nr. 1, date:12.2023: 1-11
|
|
Administration
