森本雅和

研究者氏名	森本雅和
	モリモトマサカズ
URL	http://kyoin.u-hyogo.ac.jp/staff/eng/morimoto/
所属	兵庫県立大学
部署	大学院工学研究科
職名	准教授
学位	博士（工学）(大阪大学)
科研費研究者番号	10305683
J-Global ID	201801001081429051

プロフィール

兵庫県立大学大学院工学研究科電子情報工学専攻

研究キーワード

三次元 ,画像認識

研究分野

情報通信 / 知能情報学 /

経歴

2022年4月

現在

兵庫県立大学産学連携・研究推進機構人工知能教育研究センターセンター長

2014年10月

現在

兵庫県立大学大学院工学研究科准教授

2004年4月

2014年9月

兵庫県立大学大学院工学研究科助教

1998年4月

2004年3月

姫路工業大学工学部情報工学科助手

学歴

1996年4月

1998年3月

大阪大学大学院工学研究科通信工学専攻

論文

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Ovarian follicle classification using numerical and B-mode image features from ultrasound scanning devices

Manabu Nii Yusuke Kato Masakazu Morimoto Shoji Kobashi Naotake Kamiura Yutaka Hata Setsuro Imawaki Tomomoto Ishikawa Hidehiko Matsubayashi

2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018 222-227 2019年2月 [査読有り]

© 2018 IEEE. In this paper, we propose a new approach to classify ovarian follicles into two classes. A smoothing filter which is designed to consider speckle patterns under the resolution of the ultrasound devices is applied for filtering ovarian...

3D Follicle Reconstruction from Ultrasound Images for Ovum Estimation

Jun Shimada Masakazu Morimoto Manabu Nii Yutaka Hata Tomomoto Ishikawa Hidehiko Matsubayashi

Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 3899-3902 2019年1月 [査読有り]

© 2018 IEEE. In order to estimate the existence of ovum in ovarian follicle from ultrasound images, we reconstruct three-dimensional follicle model by using acceleration sensor. Because the ovum is too small to see in ultrasound image, so we are g...

Relative Permittivity and Permeability Evaluations of Thin Metamaterial EM Wave Absorbers

Shinichiro Yamamoto Satoru Aikawa Masakazu Morimoto Kenichi Hatakeyama Takanori Tsutaoka

Proceedings of the 2018 IEEE Asia-Pacific Conference on Antennas and Propagation, Auckland, New Zealand on 5 - 8 August 2018 87-88 2018年8月 [査読有り]

Incidence rate prediction of diabetes from medical checkup data

Masakazu Morimoto Naotake Kamiura Yutaka Hata Ichiro Yamamoto

IEICE Transactions on Information and Systems E100D(8) 1642-1646 2017年8月 [査読有り]

Copyright © 2017 The Institute of Electronics, Information and Communication Engineers. To promote effective guidance by health checkup results, this paper predict a likelihood of developing lifestyle-related diseases from health check data. In th...

Incidence Rate Prediction of Diabetes from Medical Checkup Data

Masakazu Morimoto Naotake Kamiura Yutaka Hata Ichiro Yamamoto

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E100D(8) 1642-1646 2017年8月 [査読有り]

To promote effective guidance by health checkup results, this paper predict a likelihood of developing lifestyle-related diseases from health check data. In this paper, we focus on the fluctuation of hemoglobin A1c (HbA1c) value, which deeply conn...