Author: msiplab

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Presentation schedule after July 2022

International Conference

  • Yuki TAKAHASHI, Shogo MURAMATSU, Hiroyasu YASUDA, Kiyoshi HAYASAKA, Yu OTAKE: FLOW-PATH FITTING FROM IMAGES WITH FOURIER BASIS FOR RIVER HEALTH ASSESSMENT, Proc. of 2022 IEEE International Conference on Image Processing (ICIP), Bordeaux, Oct. 2022, to appear

 

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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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Presentation schedule after Sep. 2021

Internatinal Conference

  • Gai YAMAMOTO, Yuya KODAMA, Shogo MURAMATSU, Samuel CHOI, Gwanggil JEON, “ACCELERATION OF PDS–BASED HIGH–DIMENSIONAL SIGNAL RESTORATION,” APSIPA ASC 2021, Tokyo, Dec. 2021
  • Ruiki KOBAYASHI, Shogo MURAMATSU, Shunsuke ONO, “PROXIMAL GRADIENT-BASED LOOP UNROLLING WITH INTERSCALE THRESHOLDING,” APSIPA ASC 2021, Tokyo, Dec. 2021
  • Izbaila IMTIAZ, Imran AHMED, Gwanggil JEON, Shogo MURAMATSU, “AN EFFICIENT IMAGE PROCESSING AND MACHINE LEARNING BASED TECHNIQUE FOR SKIN LESION SEGMENTATION AND CLASSIFICATION,”   APSIPA ASC 2021, Tokyo, Dec. 2021