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A deep learning one-step solution to material image reconstruction in photon counting spectral CT
Eguizabal, Alma
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematics (Div.).
ORCID iD:
0000-0001-8969-4253
Öktem, Ozan
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematics (Div.).
ORCID iD:
0000-0002-1118-6483
Persson, Mats
KTH, School of Engineering Sciences (SCI), Physics, Physics of Medical Imaging.
ORCID iD:
0000-0002-5092-8822
2022 (English)
In:
Proceedings Volume 12031, Medical Imaging 2022: Physics of Medical Imaging, SPIE-Intl Soc Optical Eng , 2022
Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
SPIE-Intl Soc Optical Eng , 2022.
National Category
Medical Imaging
Identifiers
URN:
urn:nbn:se:kth:diva-312893
DOI:
10.1117/12.2612426
ISI:
000836294000033
Scopus ID:
2-s2.0-85131211131
OAI: oai:DiVA.org:kth-312893
DiVA, id:
diva2:1660483
Conference
SPIE Medical Imaging 2022: Physics of Medical Imaging
Note
QC 20220921
Available from:
2022-05-24
Created:
2022-05-24
Last updated:
2025-02-09
Bibliographically approved
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Eguizabal, Alma
Öktem, Ozan
Persson, Mats
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Öktem, Ozan
Persson, Mats
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