Sorry, this entry is only available in Japanese.
Presentation schedule after July 2022
Accepted for publication in IEEE Transactions on Computational Imaging
The following paper has been accepted for publication in IEEE Transactions on Computational Imaging.
This paper is a result of collaborative research with Prof. Hibino and Dr. Ota at Osaka University, Prof. Nin at Gifu University, Dr. Ono at Tokyo Institute of Technology, and Dr. Choi at Niigata University.
The source code is also available at Code Ocean.
- Ruiki Kobayashi, Genki Fujii, Yuta Yoshida, Takeru Ota, Fumiaki Nin, Hiroshi Hibino, Samuel Choi, Shunsuke Ono, Shogo Muramatsu, “Sparsity-Aware OCT Volumetric Data Restoration Using Optical Synthesis Model,” DOI: 10.1109/TCI.2022.3183396, IEEE Transactions on Computational Imaging, 2022
- Supplemental materials for paper “Sparsity-Aware OCT Volumetric Data Restoration Using Optical Synthesis Model, https://codeocean.com/capsule/5824110/
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(日本語) 新潟大学若手データサイエンティストコロキウム2022 参加報告
(日本語) IWAIT 2022 @ Hong Kong 参加報告
APSIPA ASC 2021 @ Tokyo Participation Report
APSIPA ASC 2021 Tokyo was held at the Kokusai Fashion Center (KFC) in Ryogoku, Tokyo on December 14-17, 2021, as a hybrid online/on-site conference.
Kobayashi (M2) and Yamamoto (M1) gave the following presentations.
- Ruiki KOBAYASHI, Shogo MURAMATSU, Shunsuke ONO, “PROXIMAL GRADIENT-BASED LOOP UNROLLING WITH INTERSCALE THRESHOLDING,” APSIPA ASC 2021, Tokyo, Dec. 2021
- Gai YAMAMOTO, Yuya KODAMA, Shogo MURAMATSU, Samuel CHOI, Gwanggil JEON, “ACCELERATION OF PDS–BASED HIGH–DIMENSIONAL SIGNAL RESTORATION,” APSIPA ASC 2021, Tokyo, Dec. 2021
In addition, Muramatsu gave the following Distinguished Lecture at a pre-event, APSIPA 2021 Winter School, on December 13, 2021.
He was also received a certificate of appreciation for his contribution as Special Session Co-chair.
Next year’s APSIPA ASC 2022 will be held in Chiang Mai, Thailand!