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Deep supervised transformer-based noise-aware network for low-dose PET denoising across varying count levels.

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Title: Deep supervised transformer-based noise-aware network for low-dose PET denoising across varying count levels.
Authors: Azimi MS; Department of Medical Radiation Engineering, Shahid Beheshti University, Tehran, Iran., Felfelian V; Department of Medical Radiation Engineering, Shahid Beheshti University, Tehran, Iran., Zeraatkar N; Department of Radiology, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA, USA., Dadgar H; Imam Reza Cancer Research Center, Nuclear Medicine and Molecular Imaging Department, RAZAVI Hospital, Mashhad, Iran., Arabi H; Division of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland., Zaidi H; Division of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, Groningen, Netherlands; Department of Nuclear Medicine, University of Southern Denmark, Odense, Denmark; University Research and Innovation Center, Óbuda University, Budapest, Hungary. Electronic address: habib.zaidi@hcuge.ch.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Sep; Vol. 196 (Pt A), pp. 110733. Date of Electronic Publication: 2025 Jul 08.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Azimi+MS%22">Azimi MS</searchLink>; Department of Medical Radiation Engineering, Shahid Beheshti University, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Felfelian+V%22">Felfelian V</searchLink>; Department of Medical Radiation Engineering, Shahid Beheshti University, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Zeraatkar+N%22">Zeraatkar N</searchLink>; Department of Radiology, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA, USA.<br /><searchLink fieldCode="AU" term="%22Dadgar+H%22">Dadgar H</searchLink>; Imam Reza Cancer Research Center, Nuclear Medicine and Molecular Imaging Department, RAZAVI Hospital, Mashhad, Iran.<br /><searchLink fieldCode="AU" term="%22Arabi+H%22">Arabi H</searchLink>; Division of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Zaidi+H%22">Zaidi H</searchLink>; Division of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, Groningen, Netherlands; Department of Nuclear Medicine, University of Southern Denmark, Odense, Denmark; University Research and Innovation Center, Óbuda University, Budapest, Hungary. Electronic address: habib.zaidi@hcuge.ch.
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  Data: <searchLink fieldCode="JN" term="%221250250%22">Computers in biology and medicine</searchLink> [Comput Biol Med] 2025 Sep; Vol. 196 (Pt A), pp. 110733. <i>Date of Electronic Publication: </i>2025 Jul 08.
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              Text: 2025 Sep
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              Value: Pt A
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