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1 Ergebnisse
1
Treatment effect prediction for sarcoma patients treated wi..:
Gao, Yu
;
Kalbasi, Anusha
;
Hsu, William
...
qt248784pw. , 2020
Link:
https://escholarship.org/uc/item/248784pw
RT Journal T1
Treatment effect prediction for sarcoma patients treated with preoperative radiotherapy using radiomics features from longitudinal diffusion-weighted MRIs
UL https://suche.suub.uni-bremen.de/peid=base-ftcdlib:oai:escholarship.org:ark:_13030_qt248784pw&Exemplar=1&LAN=DE A1 Gao, Yu A1 Kalbasi, Anusha A1 Hsu, William A1 Ruan, Dan A1 Fu, Jie A1 Shao, Jiaxin A1 Cao, Minsong A1 Wang, Chenyang A1 Eilber, Fritz C A1 Bernthal, Nicholas A1 Bukata, Susan A1 Dry, Sarah M A1 Nelson, Scott D A1 Kamrava, Mitchell A1 Lewis, John A1 Low, Daniel A A1 Steinberg, Michael A1 Hu, Peng A1 Yang, Yingli PB eScholarship, University of California YR 2020 K1 Rare Diseases K1 Orphan Drug K1 Cancer K1 Biomedical Imaging K1 Clinical Research K1 Good Health and Well Being K1 Area Under Curve K1 Diffusion Magnetic Resonance Imaging K1 Female K1 Humans K1 Image Processing K1 Computer-Assisted K1 Logistic Models K1 Male K1 Middle Aged K1 Preoperative Period K1 Soft Tissue Neoplasms K1 Support Vector Machine K1 Treatment Outcome K1 response prediction K1 longitudinal diffusion imaging K1 radiomics K1 soft tissue sarcoma K1 Other Physical Sciences K1 Biomedical Engineering K1 Clinical Sciences K1 Nuclear Medicine & Medical Imaging JF qt248784pw LK http://dx.doi.org/https://escholarship.org/uc/item/248784pw DO https://escholarship.org/uc/item/248784pw SF ELIB - SuUB Bremen
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