Editorial for "MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma"

J.F.A. Jansen; G.S. Drenthen

doi:10.1002/jmri.28049

Editorial for "MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma"

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › Academic › peer-review

Original language	English
Pages (from-to)	560-561
Number of pages	2
Journal	Journal of Magnetic Resonance Imaging
Volume	56
Issue number	2
Early online date	28 Dec 2021
DOIs	https://doi.org/10.1002/jmri.28049
Publication status	Published - Aug 2022

Keywords

RADIOMICS
HEAD

Access to Document

10.1002/jmri.28049

Cite this

@article{9020c72c81d34f35b78186662db1ef1d,

title = "Editorial for {"}MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma{"}",

keywords = "RADIOMICS, HEAD",

author = "J.F.A. Jansen and G.S. Drenthen",

year = "2022",

month = aug,

doi = "10.1002/jmri.28049",

language = "English",

volume = "56",

pages = "560--561",

journal = "Journal of Magnetic Resonance Imaging",

issn = "1053-1807",

publisher = "Wiley",

number = "2",

}

Editorial for "MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma". / Jansen, J.F.A.; Drenthen, G.S.
In: Journal of Magnetic Resonance Imaging, Vol. 56, No. 2, 08.2022, p. 560-561.

Research output: Contribution to journal › Editorial › Academic › peer-review

TY - JOUR

T1 - Editorial for "MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma"

AU - Jansen, J.F.A.

AU - Drenthen, G.S.

PY - 2022/8

Y1 - 2022/8

KW - RADIOMICS

KW - HEAD

U2 - 10.1002/jmri.28049

DO - 10.1002/jmri.28049

M3 - Editorial

C2 - 34962010

SN - 1053-1807

VL - 56

SP - 560

EP - 561

JO - Journal of Magnetic Resonance Imaging

JF - Journal of Magnetic Resonance Imaging

IS - 2

ER -