Murata Masaki

ムラタマサキ | Murata Masaki

Affiliation and department：

Research field (3)： Other , Theoretical studies related to particle-, nuclear-, cosmic ray and astro-physics , Medical systems

Research keywords (4)： AdS/CFT , Superstring Theory , 医用画像診断 , Deep Learning

Research theme for competitive and other funds (2)：

2022 - 2027 Quantum/Gravity and Machine Learning
2024 - 2025 災害用ドローン・ロボットによる自律探索システムの開発

Papers (18)：

Takahiro Nakao, Shouhei Hanaoka, Yukihiro Nomura, Masaki Murata, Tomomi Takenaga, Soichiro Miki, Takeyuki Watadani, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe. Unsupervised Deep Anomaly Detection in Chest Radiographs. Journal of digital imaging. 2021. 34. 2. 418-427
Yukihiro Nomura, Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Masaki Murata, Takeharu Yoshikawa, Yoshitaka Masutani, Eriko Maeda, Osamu Abe, Hiroyuki K M Tanaka. Pilot study of eruption forecasting with muography using convolutional neural network. Scientific reports. 2020. 10. 1. 5272-5272
Shouhei Hanaoka, Yukihiro Nomura, Tomomi Takenaga, Masaki Murata, Takahiro Nakao, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe, Akinobu Shimizu. HoTPiG: a novel graph-based 3-D image feature set and its applications to computer-assisted detection of cerebral aneurysms and lung nodules. International journal of computer assisted radiology and surgery. 2019. 14. 12. 2095-2107
Tomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Masaki Murata, Takahiro Nakao, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe. Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI. International journal of computer assisted radiology and surgery. 2019. 14. 8. 1259-1266
T. Iwai, K. Morimoto, S. Kurosawa, F. Tokanai, T. Umebayashi, Y. Ohashi, T. Moriya, S. Ishizawa, M. Murata. Feasibility Study on an Application of Scintillation Fiber Imager to Realtime Range Monitoring System for Carbon Ion Therapy. 2018

ｍore...

MISC (1)：

Masaki Murata, Martin Schnabl. On Multibrane Solutions in Open String Field Theory. PROGRESS OF THEORETICAL PHYSICS SUPPLEMENT. 2011. 188. 50-55

Lectures and oral presentations (26)：

AI for an inverse problem: Physical model solving quantum gravity
(AI for Math Workshop @ ICML 2024 2024)
Solitons Solved by Neural Network
(International conference on MACHINE LEARNING PHYSICS 2023)
Constructing emergent spacetime dual to condensed matter system by neural network
(International conference on MACHINE LEARNING PHYSICS 2023)
ニューラルネットワークによる創発時空の解析
(第21回若手研究フォーラム 2023)
ニューラルネットワークによるソリトンの解法
(第21回若手研究フォーラム 2023)

ｍore...

Education (5)：

2008 - 2011 Kyoto University Faculty of Science
2006 - 2008 Kyoto University Graduate School of Science Division of Physics and Astronomy
2005 - 2006 Kyoto University Graduate School of Engineering Department of Mechanical Engineering and Science
2001 - 2005 Kyoto University Faculty of Engineering School of Engineering Science
1998 - 2001 愛知県立東郷高等学校

Professional career (1)：

Ph.D. (Kyoto University)

Work history (9)：

2020/11 - 現在 Saitama Institute of Technology The Department of Engineering Department of Information System
2019/04 - 2020/10 Japan University of Economics
2017/10 - 2019/03 The University of Tokyo Faculty of Medicine University Hospital
2016/01 - 2017/09 Yamagata University Faculty of Medicine
2015/04 - 2016/02 Japan Society for the Promotion of Science

Show all

Awards (1)：

2018 - 国際コンペティション「ICIAR2018 Grand Challenge on Breast Cancer Histology Images」5位

Association Membership(s) (2)：

日本医学物理学会 , 日本放射線腫瘍学会

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page