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RFDNet: Robust Frequency-Based Denoising Network for 3D Ultrasound Vascular Imaging Using a Row-Column Addressed Array.

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Title: RFDNet: Robust Frequency-Based Denoising Network for 3D Ultrasound Vascular Imaging Using a Row-Column Addressed Array.
Authors: Jung D; Department of Robotics & Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea., Guezzi N; Department of Robotics & Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea., Lee S; The Interdisciplinary Studies of Artificial Intelligence, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea., Muhammad N; Department of Robotics & Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea., Bae S; Department of Electronic Engineering, Sogang University, Seoul, South Korea., Yu J; Department of Robotics & Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea.; The Interdisciplinary Studies of Artificial Intelligence, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea.; Department of Biomedical Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea.
Source: Ultrasonic imaging [Ultrason Imaging] 2026 Jul; Vol. 48 (4), pp. 276-293. Date of Electronic Publication: 2025 Dec 29.
Publication Type: Journal Article
Journal Info: Publisher: Sage Country of Publication: England NLM ID: 7909167 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0910 (Electronic) Linking ISSN: 01617346 NLM ISO Abbreviation: Ultrason Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: RFDNet: Robust Frequency-Based Denoising Network for 3D Ultrasound Vascular Imaging Using a Row-Column Addressed Array.
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  Data: <searchLink fieldCode="AU" term="%22Jung+D%22">Jung D</searchLink>; Department of Robotics & Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Guezzi+N%22">Guezzi N</searchLink>; Department of Robotics & Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+S%22">Lee S</searchLink>; The Interdisciplinary Studies of Artificial Intelligence, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Muhammad+N%22">Muhammad N</searchLink>; Department of Robotics & Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Bae+S%22">Bae S</searchLink>; Department of Electronic Engineering, Sogang University, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Yu+J%22">Yu J</searchLink>; Department of Robotics & Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea.; The Interdisciplinary Studies of Artificial Intelligence, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea.; Department of Biomedical Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%227909167%22">Ultrasonic imaging</searchLink> [Ultrason Imaging] 2026 Jul; Vol. 48 (4), pp. 276-293. <i>Date of Electronic Publication: </i>2025 Dec 29.
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      – TitleFull: RFDNet: Robust Frequency-Based Denoising Network for 3D Ultrasound Vascular Imaging Using a Row-Column Addressed Array.
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              Text: 2026 Jul
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