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A deep learning one-step solution to material image reconstruction in photon counting spectral CT
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematics (Div.).ORCID iD: 0000-0001-8969-4253
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematics (Div.).ORCID iD: 0000-0002-1118-6483
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 , 2022Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
SPIE-Intl Soc Optical Eng , 2022.
National Category
Medical Imaging
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URN: urn:nbn:se:kth:diva-312893DOI: 10.1117/12.2612426ISI: 000836294000033Scopus ID: 2-s2.0-85131211131OAI: oai:DiVA.org:kth-312893DiVA, id: diva2:1660483
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SPIE Medical Imaging 2022: Physics of Medical Imaging
Note

QC 20220921

Available from: 2022-05-24 Created: 2022-05-24 Last updated: 2025-02-09Bibliographically approved

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Eguizabal, AlmaÖktem, OzanPersson, Mats

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