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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SC | 2023-06-03 10:35 |
Fukushima | UBIC 3D Theater, University of Aizu (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Understanding transfer learning for medical image classification. Dao Ngoc HOng, Paik Incheon (UoA)  SC2023-9 |
Transfer learning is one of the critical solutions to deal with the problem of data scarcity, where the learning process... [more] | SC2023-9 pp.48-52 |
| IMQ | 2020-10-02 15:20 |
Online | Online | Development of software simulator for display design of 3D volumetric display Du Leran (Chiba Univ.), Ryutaro Okamoto (Teidec), Shinsuke Akita, Yuichiro Yoshimura, Toshiya Nakaguchi (Chiba Univ.) IMQ2020-6 |
Intuitive understanding of the human body structure in three dimensions is important for diagnosis, treatment, informed ... [more] | IMQ2020-6 pp.9-12 |
| MI | 2015-07-14 16:20 |
Hokkaido | Sun Refle Hakodate | Advances of Computer vision and progress of medical image recognition and understanding
-- Panel discussion -- Hidekata Hontani (NITech), Yoshitaka Masutani (Hiroshima City Univ.), Yoshinobu Sato (NAIST), Akinobu Shimizu (TUAT), Kensaku Mori (Nagoya Univ.) MI2015-37 |
In this article, the authors discuss a history of computer vision, that of a medical image recognition and nature of med... [more] | MI2015-37 pp.27-32 |
| MI | 2015-03-02 16:12 |
Okinawa | Hotel Miyahira | Imaging position recognition of CT images using deep learning for computational medical image understanding. Fumiyasu Noshiro, Masahito Aoyama, Yoshitaka Masutani (Hiroshima City Univ.) MI2014-84 |
In this paper, we describe our method based on deep learning and majority voting for imaging position recognition, which... [more] | MI2014-84 pp.143-146 |
| MI | 2013-07-18 11:05 |
Miyagi | On Uncertainty of Anatomical Landmarks and Their Detectability by using Appearance Models Yoshitaka Masutani, Mitsutaka Nemoto, Shouhei Hanaoka, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo Hosipital) MI2013-21 |
The anatomical landmarks are defined at local structures with salient features such as projections on bones or bifurcati... [more] | MI2013-21 pp.13-16 |
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| MI | 2013-01-24 14:25 |
Okinawa | Bunka Tenbusu Kan | [Fellow Memorial Lecture]
Integrated analysis of several views of medical images for largely deformed organs Yasuyo Kita (AIST) MI2012-83 |
In the autumn of 2012, the author had the honor of being given IEICE Fellow for contributions to image understanding an... [more] |
MI2012-83 pp.109-112 |
| MI | 2010-09-03 12:50 |
Saitama | [Poster Presentation]
Study on anatomical landmark detection from CT images via three-dimensional SIFT Mitsutaka Nemoto, Yukihiro Nomura, Yoshitaka Masutani, Shouhei Hanaoka, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ Tokyo) MI2010-59 |
Detection of anatomical landmarks on 3D medical images is an our recent research topic. The anatomical landmarks, which... [more] | MI2010-59 pp.49-54 |
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