- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
AutoComBat: a generic method for harmonizing MRI-based radiomic features ; volume:12 ; number:1 ; day:26 ; month:7 ; year:2022 ; pages:1-17 ; date:12.2022
Scientific reports ; 12, Heft 1 (26.7.2022), 1-17, 12.2022
- Urheber
-
Carré, Alexandre
Battistella, Enzo
Niyoteka, Stephane
Sun, Roger
Deutsch, Eric
Robert, Charlotte
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-022-16609-1
- URN
-
urn:nbn:de:101:1-2022100723405386622875
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Carré, Alexandre
- Battistella, Enzo
- Niyoteka, Stephane
- Sun, Roger
- Deutsch, Eric
- Robert, Charlotte
- SpringerLink (Online service)
Ähnliche Objekte (12)
MRI-based radiomic feature analysis of end-stage liver disease for severity stratification
High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer
Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature
MRI-based radiomic and machine learning for prediction of lymphovascular invasion status in breast cancer
MRI-based radiomic nomogram for predicting disease-free survival in patients with locally advanced rectal cancer
Improved generalized ComBat methods for harmonization of radiomic features
Harmonizing Instruments with Equating
Multiparametric MRI-based radiomic model for predicting lymph node metastasis after neoadjuvant chemoradiotherapy in locally advanced rectal cancer
MRI-based delta-radiomic features for prediction of local control in liver lesions treated with stereotactic body radiation therapy
Peritumoral edema enhances MRI-based deep learning radiomic model for axillary lymph node metastasis burden prediction in breast cancer
Multiparametric MRI–based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer
MRI-based radiomic features of the urinary bladder wall identify patients with moderate-to-severe international prostate symptom score
MRI-based radiomic feature analysis of end-stage liver disease for severity stratification
High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer
Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature
MRI-based radiomic and machine learning for prediction of lymphovascular invasion status in breast cancer
MRI-based radiomic nomogram for predicting disease-free survival in patients with locally advanced rectal cancer
Improved generalized ComBat methods for harmonization of radiomic features
Harmonizing Instruments with Equating
Multiparametric MRI-based radiomic model for predicting lymph node metastasis after neoadjuvant chemoradiotherapy in locally advanced rectal cancer
MRI-based delta-radiomic features for prediction of local control in liver lesions treated with stereotactic body radiation therapy
Peritumoral edema enhances MRI-based deep learning radiomic model for axillary lymph node metastasis burden prediction in breast cancer
Multiparametric MRI–based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer
MRI-based radiomic features of the urinary bladder wall identify patients with moderate-to-severe international prostate symptom score
MRI-based radiomic feature analysis of end-stage liver disease for severity stratification
High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer
Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature
MRI-based radiomic and machine learning for prediction of lymphovascular invasion status in breast cancer
MRI-based radiomic nomogram for predicting disease-free survival in patients with locally advanced rectal cancer
Improved generalized ComBat methods for harmonization of radiomic features
Harmonizing Instruments with Equating
Multiparametric MRI-based radiomic model for predicting lymph node metastasis after neoadjuvant chemoradiotherapy in locally advanced rectal cancer
MRI-based delta-radiomic features for prediction of local control in liver lesions treated with stereotactic body radiation therapy
Peritumoral edema enhances MRI-based deep learning radiomic model for axillary lymph node metastasis burden prediction in breast cancer
Multiparametric MRI–based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer