Personal information

Japan

Activities

Employment (1)

Canon Medical Systems Corporation: Ota-ku, Tokyo, JP

(Advanced Technology Research Department, Research and Development Center)
Employment
Source: Self-asserted source
Hidenori Takeshima

Education and qualifications (1)

Kyushu University: Fukuoka, JP

2020-04-01 to 2021-03-24 | Doctor of Engineering (Informatics, Graduate School of Information Science and Electrical Engineering)
Education
Source: Self-asserted source
Hidenori Takeshima

Works (11)

A fast and practical computation method for magnetic resonance simulators.

Magnetic resonance in medicine
2023-04-15 | Journal article | Author
Contributors: Hidenori Takeshima
Source: Self-asserted source
Hidenori Takeshima
grade
Preferred source (of 2)‎

Deep Learning and Its Application to Function Approximation for MR in Medicine: An Overview.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
2021-09-17 | Journal article
Source: Self-asserted source
Hidenori Takeshima

Aliasing layers for processing parallel imaging and EPI ghost artifacts efficiently in convolutional neural networks.

Magnetic resonance in medicine
2021-03-14 | Journal article
Source: Self-asserted source
Hidenori Takeshima
grade
Preferred source (of 2)‎

Estimation of spatiotemporal sensitivity using band-limited signals with no additional acquisitions for k−t parallel imaging

Magnetic Resonance in Medical Sciences
2019 | Journal article
EID:

2-s2.0-85059796562

Part of ISSN: 18802206 13473182
Contributors: Takeshima, H.; Saitoh, K.; Nitta, S.; Shiodera, T.; Takeguchi, T.; Bannae, S.; Kuhara, S.
Source: Self-asserted source
Hidenori Takeshima via Scopus - Elsevier
grade
Preferred source (of 2)‎

Super-resolution using a local matching designed for suppressing errors of reconstructed edges

1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012
2012 | Conference paper
EID:

2-s2.0-84872333554

Contributors: Takeshima, H.; Kaneko, T.
Source: Self-asserted source
Hidenori Takeshima via Scopus - Elsevier

Facial deblur inference using subspace analysis for recognition of blurred faces

IEEE Transactions on Pattern Analysis and Machine Intelligence
2011 | Journal article
EID:

2-s2.0-79951947152

Part of ISSN: 01628828
Contributors: Nishiyama, M.; Hadid, A.; Takeshima, H.; Shotton, J.; Kozakaya, T.; Yamaguchi, O.
Source: Self-asserted source
Hidenori Takeshima via Scopus - Elsevier

Facial deblur inference to improve recognition of blurred faces

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009
2009 | Conference paper
EID:

2-s2.0-70450213184

Contributors: Nishiyama, M.; Takeshima, H.; Shotton, J.; Kozakaya, T.; Yamaguchi, O.
Source: Self-asserted source
Hidenori Takeshima via Scopus - Elsevier

Image registration using subpixel-shifted images for super-resolution

Proceedings - International Conference on Image Processing, ICIP
2008 | Conference paper
EID:

2-s2.0-69949187955

Part of ISSN: 15224880
Contributors: Takeshima, H.; Kaneko, T.
Source: Self-asserted source
Hidenori Takeshima via Scopus - Elsevier

Extracting object regions using locally estimated probability density functions

Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007
2007 | Conference paper
EID:

2-s2.0-84872522775

Contributors: Takeshima, H.; Ida, T.; Kaneko, T.
Source: Self-asserted source
Hidenori Takeshima via Scopus - Elsevier

Object contour detection using spatio-temporal self-similarity

Proceedings - International Conference on Pattern Recognition
2006 | Conference paper
EID:

2-s2.0-34047213546

Part of ISSN: 10514651
Contributors: Takeshima, H.; Ida, T.; Kaneko, T.
Source: Self-asserted source
Hidenori Takeshima via Scopus - Elsevier

Software based object tracking with visual feature integration

IEEE International Conference on Image Processing
1999 | Conference paper
EID:

2-s2.0-0033307949

Contributors: Pasqual, Ajith; Takeshima, Hidenori; Aizawa, Kiyoharu
Source: Self-asserted source
Hidenori Takeshima via Scopus - Elsevier