Hidetoshi Ando

アンドウヒデトシ | Hidetoshi Ando

Affiliation and department：
Job title： Professor

Research field (2)： Human interfaces and interactions , Database science

Research keywords (8)： High Performance Computing , Machine Learning , Image Processing , Deep Learning , GPU , Distributed and Colaborative Network , 分散協調型ネットワーク , メディア情報学・データベース

Research theme for competitive and other funds (13)：

2022 - 2025 結合力スペクトルによる生体分子の識別とインテリジェント分子診断
2021 - 2022 Research on effective anomaly detection methods for various issues (data sets)
2020 - 2022 Construction of a tool to predict the invasive potential of oral cancer by machine learning using digital images of histopathological sections
2018 - 2021 Multiphase thermal and turbulent flow simulation with fast distributed visualization in GPU cluster environment
2015 - 2018 Fast Numerical Simulation and Distributed Visualization of Gas-Liquid-Solid Multiphase Thermal Flow on GPU-CPU Cooperating Cluster

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Papers (48)：

K. Yoshizawa, H. Ando, Y. Kimura, S. Kawashiri, H. Yokomichi, A. Moroi, K. Ueki. Automatic discrimination of Yamamoto-Kohama classification by machine learning approach for invasive pattern of oral squamous cell carcinoma using digital microscopic images: A retrospective study. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2021
Huihuang Cai, Qing Wu, Hidetoshi Ando, Ren Watanabe. Automatic Counting of Follicles in Neonatal Mice Ovarian Section Images by Using Deeplabv3+. Proceedings of 2020 International Conference on Cyberworlds. 2020
Suzuki, T, Ando, H, Toriyama, K. High precision computation of radiative heat transfer based on photon mapping method on GPU. Proc. of the 29th International Symposium on Transport Phenomena. 2018
INOUE Akihiro, ANDO Hidetoshi, YOSHIZAWA Kunio, UEKI Koichiro, KATO Koroku, NOGUCHI Natsuyo, KAWASHIRI Shuichi. Automatic Classification of Mode of Invasion from Digital Images Using Machine Learning with Pathological Specimens of Oral Squamous Cell Carcinoma. Medical Imaging Technology. 2016. 34. 5. 279-286
H. Ando, Y. Niitsu, M. Hirasawa, H. Teduka, M. Yajima. Improvements of classification accuracy of film defects by using GPU-accelerated image processing and machine learning frameworks. Proceedings of NICOGRAPH International 2016. 2016

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MISC (17)：

An Efficient Collision Detection Method for Grid-based Multiphase Flow Simulation on GPU. 2017. 22. 4p
A Grid-based multiphase flow simulation on GPU with multibody interaction. 2016. 21. 4p
Development and Evaluation of MGCG method for Large Scale Numerical Computation using Small Scale GPU Cluster. 2015. 20. 6p
Improvement of Gas-Liquid-Solid Multiphase Simulation on GPU by using Finer Grid for Advection. 2014. 19. 4p
Implementation and evaluation of hiding of data exchange time in VSIAM3 on GPU cluster. 2012. 17. 4p

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Patents (6)：

情報処理装置、プログラム、情報処理方法、及び医療システム
染色画像生成システム、染色画像生成方法および、染色画像生成プログラム
分類器生成装置,外観検査装置,分類器生成方法,及びプログラム
コロニー識別システム、コロニー識別方法およびコロニー識別プログラム
画像分類装置、画像検査装置、及び、プログラム

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Lectures and oral presentations (12)：

Construction of synthetic FLAIR images using Generative Adversarial Network
(第48回日本磁気共鳴医学会大会 2020)
A VR/AR-based training system for grapes thinning with AI coaching
(2019 International Conference for Top and Emerging Computer Scientists 2019)
人工知能を用いた放線菌コロニー自動識別システムの提案
(第34回(2019年度)日本放線菌学会大会 2019)
AIを活用した子どもの動作発達評価の可能性
(第74回日本体力医学会大会 2019)
VRを用いた果樹ぶどうの摘粒指南システムの開発
(第24回バーチャルリアリティ学会大会 2019)

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Education (2)：

1986 - 1991 The University of Tokyo Graduate School, Division of Engineering
1982 - 1986 The University of Tokyo

Professional career (1)：

工学博士 (東京大学)

Work history (3)：

2007/04 - 現在 University of Yamanashi Faculty of Engineering Department of Computer Science and Media Engineerig
2008/04 - Tokyo Institute of Technology
1997/10 - University of Yamanashi Integrated Information Processing Center

Awards (4)：

2018/09/12 - 日本放線菌学会ポスター賞人工知能を用いた放線菌コロニーの自動識別
2007/09 - IPA(情報処理推進機構) 天才プログラマー/スーパークリエータ
2006 - 情報処理学会グラフィクスとCAD優秀研究発表賞
1989 - 研究賞(IPSJ SIG Research Award)

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