Curriculum vitae - Hitoshi Iyatomi

Dr. Hitoshi Iyatomi, Ph.D in Engineering, Ph.D in Medical Science.

Professor,  Dept. Applied Informatics, 

Hosei University Faculty of Science and Engineering.

3-7-2 Kajino-cho Koganei Tokyo 184-8584 Japan

E-mail: iyatomi [AT] hosei.ac.jp

Webpage: http://iyatomi-lab/front-e.html

Link to Google Scholar

 

WORK EXPERIENCE:

 

2004 - present            Hosei University

   2018/4-                 Professor,

                                      Department of Applied Informatics Faculty of Science and Engineering.

   2014/4-2016/3       Head of Student Affairs Office at Koganei Campus

   2012/4-2014/3       Vice chief of Faculty council, Faculty of Science and Engineering.

   2011/4-2018/3       Associate Professor,

                                      Department of Applied Informatics Faculty of Science and Engineering.

   2008/4-2011/3        Lecturer,

                                      Department of Applied Informatics Faculty of Science and Engineering.                

   2004/4-2008/3        Research Associate (Assistant Professor),

                                      Department of Electrical Informatics, Faculty of Engineering.

 

   2016/4-2017/3    Visiting Scholar,  Johns Hopkins University

   2007/4- present   Visiting Lecturer, Department of Dermatology, Tokyo Women’s Medical University.

   2004 -2017/3      Visiting Researcher, Department of Dermatology, Keio University School of Medicine

   2003/4 – 2003/9  Visiting Lecturer, Tokyo University of Technology

   2000/4-2004/3     Technical Consultant of Hewlett-Packard Japan Co. Ltd.

 

EDUCATION:

2011/12               Ph.D in Medical Science,

                            Graduate School of Medicine, Tokyo Women’s Medical University.

2004/3                 Ph.D in Engineering (Open and Environmental Systems),

           Graduate School of Keio University School of Science and Technology.

2000/3                 M.E. in Electrical Engineering,

            Graduate School of Keio University School of Science and Technology.

1998/3                 B.E in Department of Electronics,

             Keio University Department of Science and Technology.

 

PUBLICATIONS:

・Journal papers (selected from 45+)

Kouhei Shimizu, Hitoshi Iyatomi, M. Emre Celebi, Kerri-Ann Norton, and Masaru Tanaka, “Four-class classification of skin lesions with task decomposition strategy," IEEE Trans. on Biomedical Engineering, Vol.62, No.1, pp.274-283, Jan. 2015.

Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi and Hitoshi Iyatomi, “An ensemble classification approach for melanoma diagnosis," Memetic computing journal, Vol.6, pp.223-240, 2014.

Reiko Suzaki, Sumiko Ishizaki, Hitoshi Iyatomi and Masaru Tanaka,Age-related prevalence of dermatoscopic patterns of acral melanocytic nevi," Dermatology Practical & Conceptual, Vol.4, No.1, pp.53-57, 2014.

Kerri-Ann Norton, Sameera Namazi, Nicola Barnard, Mariko Fujibayashi, Gyan Bhanot, Shridar Ganesan, Hitoshi Iyatomi, Koichi Ogawa, and Troy Shinbrot, "An Automated Reconstruction Algorithm for Identification of 3D Architectures of Cribriform Ductal Carcinoma in Situ," PLoS ONE, Vol.7, No.9, e44011, Sep. 2012.

Hitoshi Iyatomi, M.Emre Celebi, Gerald Schaefer, Masaru Tanaka, “Automated color calibration method for dermoscopy Images,”
Computerized Medical Imaging and Graphics,  Vol.35, 2, pp.89-98, 2011.

Hitoshi Iyatomi, Hiroshi Oka, M Emre Celebi, Koichi Ogawa, Giuseppe Argenziano, H Peter Soyer, Hiroshi Koga, Toshiaki Saida, Kuniaki Ohara, and Masaru Tanaka, “Computer-based classification of dermoscopy images of melanocytic lesions on acral volar skin,”
Journal of Investigative Dermatology, Vol.128, pp.2049-2054, 2008.

Hitoshi Iyatomi, Hiroshi Oka, M.Emre Celebi, Masahiro Hashimoto, Masafumi Hagiwara, Masaru Tanaka, Koichi Ogawa, “An Improved Internet-based Melanoma Screening System with Dermatologist-like Tumor Area Extraction Algorithm,” Computerized Medical Imaging and Graphics, Vol.32, No.7, pp.566-579, 2008.

Tomotaka Kasamatsu, Jun Hashimoto, Hitoshi Iyatomi, Tadaki Nakahara, Jingming Bai, Naoto Kitamura et al, “Application of Support Vector Machine Classifiers to Preoperative Risk Stratification with Myocardial Perfusion Scintigraphy,” Circulation Journal, Vol.72, No.11, pp.1829-1835, 2008

Hitoshi Iyatomi, Hiroshi Oka, Masataka Saito, Ayako Miyake, Masayuki Kimoto et al. “Quantitative assessment of tumor extraction from dermoscopy images and evaluation of computer-based extraction methods for automatic melanoma diagnostic system,”
Melanoma Research, Vol.16, No.2, pp.183-190, 2006

Hitoshi Iyatomi and Masafumi Hagiwara “Adaptive Fuzzy Inference Neural Network,” Pattern Recognition, Vol 37, issue 10, pp.2049-2057, 2004.

Hitoshi Iyatomi and Masafumi Hagiwara, “Scenery Image Recognition and Interpretation using Fuzzy Inference Neural Networks,” Pattern Recognition Vol.35, issue 8, pp.1793-1806, 2002.
 

Conference proceedings (peer reviewed)  (selected from 60+)

Michiaki Ito and Hitoshi Iyatomi,“Web Application Firewall using Character-level Convolutional Neural Network,” IEEE Proc. Signal Processing and its Applications (IEEE CSPA 2018), pp.105-108, Mar. 2018. (IEEE Best Paper Award)

Chihiro Hasegawa and Hitoshi Iyatomi, “One-dimensional Convolutional Neural Network for Android Malware Detection,” IEEE Proc. Signal Processing and its Applications (IEEE CSPA 2018), pp.101-104, Mar. 2018.

Erika Fujita, Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada and Hitoshi Iyatomi, “Basic Investigation on a Robust and Practical Plant Diagnostic System, IEEE Proc. Machine Learning and its Applications (IEEE ICMLA 2016),” pp.989-992, Dec. 2016.

 

Daiki Shimada, Ryunosuke Kotani and Hitoshi Iyatomi, “Document Classification through Image-Based Character Embedding and Wildcard Training,” IEEE Proc. Big Data 2016, pp.3922-3927, Dec. 2016.

Ryosuke Yoshihashi, Daiki Shimada, Hitoshi Iyatomi, “Feasibility study on evaluation of audience’s concentration in the classroom with deep convolutional neural networks,” Proc. IEEE TALE 2014, Wellington, New Zealand, Dec. 2014.

Kazuhiro Mukai and Hitoshi Iyatomi, “A preliminary study for fully automated quantification of paoriasis severity using image mapping,”   Proc. SPIE Medical Imaging Conference 2014, San Diego, USA, Vol.9035, doi: 10.1117/12.2043446, Feb. 2014.

Hitoshi Iyatomi, Jun Hashimoto, Fumihito Yoshii, Toshiki  Kazama, Shuichi Kawada and Yutaka Imai, “Accurate discrimination of Alzheimer's disease from other dementia and/or normal sujects using SPECT specific volume analysis,” Proc. SPIE Medical Imaging Conference 2014, San Diego, USA, Vol.9035, doi:10.1117/12.2044011, Feb. 2014.

Yuji Ikuma and Hitoshi Iyatomi, “Production of the grounds for melanoma classification using adaptive fuzzy inference neural network,” Proc IEEE SMC2013, Manchester, UK, pp.2570-2575, Oct. 2013.

Masaru Kiyama, Hitoshi Iyatomi, Koichi Ogawa, “Robust Video-oculography for Non-invasive Autonomic Nerve Quantification” Proc. IEEE EMBC 2011, Boston, USA, pp.494-497, 2011.

Takuya Yamakawa, Koichi Ogawa, Hitoshi Iyatomi, Etsuo Kunieda, “Feasibility Evaluation of a Motion Detection System with Face Images for Stereotactic Radiosurgery,”  Proc. IEEE EMBC 2011, Boston, USA, pp.425-428, 2011.

Hitoshi Iyatomi, Tomotaka Kasamatsu, Jun Hashimoto, M.Emre Celebi, Gerald Schaefer and Koichi Ogawa, " Perioperative cardiac risk prediction," Procs.  IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB 2009) (CD-ROM), Larnaca, Cyprus, Nov. 2009.

Hitoshi Iyatomi, M.Emre Celebi, Hiroshi Oka, Masaru Tanaka, ”An Internet-based Melanoma Screening System - Supported Acral Volar Lesions,” Procs. IEEE EMBC 2008, Vancouver, Canada, pp.5156-5159, Aug.2008.

Hitoshi Iyatomi, Hiroshi Oka, Masaru Tanaka and Koichi Ogawa, “Parametric Analysis of Acral Lesions on Dermoscopy,” Procs. IEEE CME 2007, Beijin, China, pp.337-340, May.2007.

Hitoshi Iyatomi, Hiroshi Oka, M.Emre Celebi, Masaru Tanaka and Koichi Ogawa, “Parameterization of Dermoscopic Findings for the Internet-based Melanoma Diagnostic System,” Procs. IEEE CIISP 2007, pp.183-193, Honolulu, Apr.2007.

Hitoshi Iyatomi, Masahiro Hashimoto, Hiroshi Oka, Masaru Tanaka and Koichi Ogawa,”Automatic Identification of Shot Body Region from Clinical Photographies, Procs IEEE AIPR 2006, (CD-ROM), Washington, USA, Oct. 2006.

Hitoshi Iyatomi, Hiroshi Oka, Ayako Miyake, Masayuki Kimoto Masaru Tanaka and Koichi Ogawa, “An Practical Internet-based Melanoma Diagnostic System,” Procs IEEE CIBCB 2005, pp.443-446, San Diego USA, Nov.2005.

 

BOOKS: (selected from 4)

New Developments in Biomedical Engineering, In-tech, 2010

(ISBN: 978-953-7619-57-2, Editor: Domenico Campolo)  pp.183-pp.200 (book chapter)

 

HONORS (selected):

2018/7  International Symposium on Computational Intelligence and Application (ISCIA2018) Best Paper Award

2018/3 IEEE CSPA2018 Best Paper Award

2011/3   Butterfield Award from Great Britain Sasakawa Foundation

2007/3  The Certificate for Distinguished Activity for Research Assistant at Keio Information, Electronics and Electrical Engineering Field COE (center of excellence).

2005/7  Encouraging Award from Japan Society of Medical Imaging Technology.

2004/9  Recognition Award from International Conference on SCIS/ISIS 2004.

2002/4   Star Award from Hewlett-Packard Company.

 

OTHERS:

-       Fourteen governmental research grants and six company (private) funds since 2004.

-       Associate Editor of IEEE Transaction of Biomedical Engineering (BME) from Jun 2011.

-       Executive Committee Member – Japan Society for Fuzzy Theory and Intelligent Informatics

-       Chief of Executive Committee - 103th Annual Meeting of Japan Society of Medical Physics

-       5 patents, 100+ domestic conference papers.

 

Dr. Iyatomi is a member of IEEE, IEICE(The institute of electronics, information and communication engineers), JAMIT(Japan society of medical imaging technology) and JSMP (Japan society of medical physics).