I. Hoshi, T. Shimobaba, T. Kakue, T. Ito, “SIngle-pixel imaging using a recurrent neural network combined with convolutional layers,” Opt. Express, 28 (23), 34069-34078.
I. Hoshi, T. Shimobaba, T. Kakue, T. Ito, “Computational ghost imaging using a field-programmable gate array,”OSA Continuum,2, 1097-1105
Other co-authored...
〇Tomoyoshi Shimobaba, David Blinder, Peter Schelkens, Yota Yamamoto, Ikuo Hoshi, Takashi Kakue, Tomoyoshi Ito, "Deep-learning-assisted hologram calculation via low-sampling holograms," 4th International Conference on Enterprise Architecture and Information Systems (EAIS 2019), Toyama Japan (2019.7)
〇Ikuo Hoshi, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito, "Investigation of Single-Pixel Imaging Using Recurrent Neural Neteork," International Display Workshops (3DSA2019), Sapporo, Japan(2019.11)
〇Ikuo Hoshi, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito, “FPGA Implementation for Computational Ghost Imaging,” International Display Workshops (IDW2018), Nagoya, Japan (2018.12)
〇Ikuo Hoshi, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito, “FPGA Circuit Design for Computational Ghost Imaging,” Three Dimensional Systems and Applications (3DSA2018), Taipei, Taiwan (2018.8)
Ikuo Hoshi，Hiroshi Amano，Daichi Tanaka，Hiroshi Hashimoto， LSI Design Contest 2019，Second Place
Ikuo Hoshi, 3DSA Best Poster Award, 3DSA 2019, Sapporo, Japan