TY  - GEN
AU  - Tahmassebi,Amirhessam
AU  - Wengert,Georg J
AU  - Helbich,Thomas H
AU  - Bago-Horvath,Zsuzsanna
AU  - Alaei,Sousan
AU  - Bartsch,Rupert
AU  - Dubsky,Peter
AU  - Baltzer,Pascal
AU  - Clauser,Paola
AU  - Kapetas,Panagiotis
AU  - Morris,Elizabeth A
AU  - Meyer-Baese,Anke
AU  - Pinker,Katja
TI  - Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients
SN  - 1536-0210
PY  - 2019///0822
KW  - Adult
KW  - Aged
KW  - Breast
KW  - diagnostic imaging
KW  - Breast Neoplasms
KW  - Chemotherapy, Adjuvant
KW  - Diffusion Magnetic Resonance Imaging
KW  - methods
KW  - Female
KW  - Humans
KW  - Machine Learning
KW  - Magnetic Resonance Imaging
KW  - Middle Aged
KW  - Neoadjuvant Therapy
KW  - Predictive Value of Tests
KW  - Prospective Studies
KW  - ROC Curve
KW  - Reproducibility of Results
KW  - Survival Analysis
KW  - Treatment Outcome
N1  - Publication Type: Journal Article; Research Support, N.I.H., Extramural
UR  - https://doi.org/10.1097/RLI.0000000000000518
ER  -