SwinPix: A Swin Transformer-based Pix2Pix Framework for Low-Dose PET Denoising Using Multi-level Inputs Toward Standard-Dose Quality.
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| Title: | SwinPix: A Swin Transformer-based Pix2Pix Framework for Low-Dose PET Denoising Using Multi-level Inputs Toward Standard-Dose Quality. |
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| Authors: | Azimi MS; Doctoral School of Applied Informatics and Applied Mathematics, Óbuda University, Budapest, Hungary.; University Research and Innovation Center, Óbudabuda University, Budapest, Hungary., Felfelian V; Department of Medical Radiation Engineering, Shahid Beheshti University, Tehran, Iran., Dadgar H; Cancer Research Center, RAZAVI Hospital, Imam Reza International University, Mashhad, Iran., Arabi H; Division of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland., Zaidi H; University Research and Innovation Center, Óbudabuda University, Budapest, Hungary. habib.zaidi@hcuge.ch.; Division of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland. habib.zaidi@hcuge.ch.; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, Groningen, Netherlands. habib.zaidi@hcuge.ch.; Department of Nuclear Medicine, University of Southern Denmark, Odense, Denmark. habib.zaidi@hcuge.ch. |
| Source: | Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Mar 09. Date of Electronic Publication: 2026 Mar 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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