Akira Sakai

Principal Researcher

Discipline: Computer Science

Research topics:

https://www.mysciencework.com/profile/akira.sakai

Summary

Principal Researcher at Fujitsu Research AI Lab. | Ph.D. (Eng.) in Artificial Intelligence

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Published articles Show More

Machine Learning Approach for Frozen Tuna Freshness Inspection using Low-frequency A-mode Ultrasound

Akira Sakai Yagi, Masafumi Yasutomi, Suguru Mizuno, Kazuki Suzuki, Kanata Goto, Keiichi

Published in IEEE Access

Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illumination...

Akira Sakai Sunagawa, Taro Madan, Spandan Suzuki, Kanata Katoh, Takashi Kobashi, Hiromichi Pfister, Hanspeter Sinha, Pawan Boix, Xavier Sasaki, Tomotake ...

Published in Neural Networks

Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine

Hamamoto, Ryuji Takasawa, Ken Machino, Hidenori Kobayashi, Kazuma Takahashi, Satoshi Bolatkan, Amina Shinkai, Norio Akira Sakai Aoyama, Rina Yamada, Masayoshi ...

Published in Briefings in Bioinformatics

Other publications Show More

Shadow Estimation for Ultrasound Images Using Auto-Encoding Structures and Synthetic Shadows

yasutomi;, ai suguru Akira Sakai

Acoustic shadows are common artifacts in medical ultrasound imaging. The shadows are caused by objects that reflect ultrasound such as bones, and they are shown as dark areas in ultrasound images. Detecting such shadows is crucial for assessing the quality of images. This will be a pre-processing for further image processing or recognition aiming c...