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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2021-03-04 16:20 |
Online | Online | VQA for Medical Image Data based on Image Feature Extraction and Fusion Hideo Umada, Masaki Aono (TUT)  PRMU2020-81 |
In recent years, there has been a remarkable growth in research on deep learning in the fields of computer vision and na... [more] | PRMU2020-81 pp.71-76 |
| PRMU | 2020-12-18 16:20 |
Online | Online | [Short Paper]
Case Discrimination: Self-supervised Learning for classification of Medical Image Haohua Dong, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin (Zhejiang Univ.), Hongjie Hu, Xiujun Cai (Sir Run Run Shaw Hospital), Yen-Wei Chen (Ritsumeikan Univ.) PRMU2020-64 |
Deep Learning provides exciting solutions to problems in medical image analysis and is regarded as a key method for futu... [more] | PRMU2020-64 pp.151-155 |
| PRMU | 2020-10-09 10:45 |
Online | Online | Trial of three-dimensional extraction and classification of cell regions in the heart Asuma Takematsu, Masahiro Migita, Masashi Toda, Yuichiro Arima (Kumamoto Univ.) PRMU2020-21 |
Analysis of cardiomyocytes is urgently needed to elucidate the pathophysiology of heart disease. Cardiomyocytes are char... [more] | PRMU2020-21 pp.15-19 |
| NLC | 2020-09-10 10:05 |
Online | Online | Extraction of medical technology sentences from the Faculty of Medicine Websites Yuta Sugawara, Kaito Takano, Hiroyuki Sakai (Seikei) NLC2020-2 |
In this research, we propose a method for extracting sentences including medical technology form the faculty of medicine... [more] | NLC2020-2 pp.7-10 |
| SC | 2020-05-29 15:30 |
Online | Online | [Poster Presentation]
Tumor detection from colonoscopy Whole Slice Images By Deep Learning Cherubin Mugisha, Incheon Paik (School of Computer Science and Engineering) |
Image semantic segmentation is a technique of segregating an image into many parts. The goal of this research was to use... [more] | |
| SeMI | 2020-01-31 10:00 |
Kagawa | [Poster Presentation]
Disaster Aid Station Management System with Data Exchange Support for Collaborative Activities Shugo Kajita, Edgar Marko Trono, Gemalyn Abrajano, Jovilyn Fajardo, Taka Maeno (Space-Time Engineering Japan, Inc.) SeMI2019-108 |
In the event of a large scale disaster such as the Nankai Trough Earthquake, wide-area medical rescue activities will be... [more] | SeMI2019-108 pp.45-46 |
|
| MI | 2020-01-29 10:15 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Analysis of disease classification and musculoskeletal anatomy using medical images and radiology reports in a large-scale medical image database Shuhei Honda, Yoshito Otake (NAIST), Masaki Takao (Osaka Univ.), Eiji Aramaki, Shuntaro Yada, Yuta Hiasa (NAIST), Kento Aida, Shinichi Sato (NII), Akihiro Nishie (Kyushu Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2019-69 |
Recently, the environment for the analysis of large databases, such as the large-scale medical image database, have been... [more] | MI2019-69 pp.19-22 |
| NC, MBE (Joint) |
2019-03-06 16:15 |
Tokyo | University of Electro Communications | Examination of Super Resolution and Noise Removal for MicroCT Image Miku Mashimo, Hayaru Shouno (UEC) NC2018-86 |
The purpose of this research is to increase the resolution of MicroCT (Computed Tomography) images. The MicroCT image i... [more] |
NC2018-86 pp.227-232 |
| NC, MBE (Joint) |
2019-03-06 16:40 |
Tokyo | University of Electro Communications | Study on data augmentation using Fourier transform for texture image classification Daigo Nitta, Hayaru Shouno (UEC) NC2018-87 |
In the field of medical imaging such like computed tomography analysis, it is difficult to prepare a sufficient amount o... [more] | NC2018-87 pp.233-238 |
| SR | 2019-01-25 09:25 |
Fukushima | Corasse, Fukushima city (Fukushima prefecture) | [Invited Talk]
Research and development of a medical and nursing care support system based on sensor network and sensing technology Hideaki Matsue, Husao Nuno, kazuhiro Yamaguchi (SUS), Yasuaki Huruya (K S), atsushi Iguchi (I S), Akira Tsuge, Aritaka Shinoda (WSN-ATEC) SR2018-110 |
A medical and nursing care support system, which is combined with sensor network technology using Wi-Fi, Wi-SUN and LPWA... [more] | SR2018-110 p.89 |
| MICT, MI | 2018-11-06 16:40 |
Hyogo | University of Hyogo | [Short Paper]
Matsuzaki Hiroki, Yamada Atsushi, Takeda Iori, Mizutani Hiroya (Univ. of Tokyo), Ono Toshitsugu (Tokyo Univ.), Koike Kazuhiko, Ushiku Yoshitaka, Naganuma Kazunori, Onodera Hiroshi (Univ. of Tokyo) MICT2018-53 MI2018-53 |
The endoscopic biopsy specimen of the gastrointestinal tract is made transparent, and the tumor is detected by deep lear... [more] | MICT2018-53 MI2018-53 pp.65-66 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
In-Hospital Mortality Prediction for Trauma Patients Using Cost-Sensitive MedLDA Haruya Ishizuka, Tsukasa Ishigaki, Naoya Kobayashi, Daisuke Kudo, Atsuhiro Nakagawa (Tohoku Univ.) IBISML2018-75 |
In the field of emergency medical care, decision support systems, which support doctors’ judgements, have attracted. Acc... [more] | IBISML2018-75 pp.233-240 |
| MI | 2018-09-28 10:55 |
Tokyo | Tokyo Women's Medical University | Method of Calculation of Priority in Nodule Detection CAD Algorithm for CT Lung Cancer Screening Hanae Yoshida, Masahiro Kageyama, Masahiro Ogino, Masayuki Kanai, Takashi Shirahata (Hitachi) MI2018-33 |
Method of Calculation of Priority in Nodule Detection CAD Algorithm for CT Lung Cancer ScreeningWe developed a priority ... [more] | MI2018-33 pp.3-8 |
| IMQ, HIP | 2018-07-20 14:05 |
Hokkaido | Sapporo City University, Satellite Campus | Current status and issues of relevance between image content and cerebral blood flow using NIRS Yota Niigaki, Yuukou Horita (Univ. of Toyama) IMQ2018-6 HIP2018-33 |
We are still conducting fundamental research on image quality evaluation by using biometric information in order to impr... [more] | IMQ2018-6 HIP2018-33 pp.5-10 |
| MBE, NC (Joint) |
2018-03-13 11:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Application of U-Net to spine image extraction in CT image Mikoto Kamata, Masayuki Kikuchi (Tokyo Univ.of Tech.), Hayaru Shouno (Univ. of Electro-Communications.), Isao Hayashi (Kansai Univ.), Kunihiko Fukushima (Fuzzy Logic Systems Inst.) NC2017-81 |
In this study, we aimed at automatic extraction of spinal parts in CT images using deep learning as a foothold for autom... [more] | NC2017-81 pp.81-84 |
| CAS, MSS, IPSJ-AL [detail] | 2017-11-16 16:30 |
Tokyo | Logic to represent change of event frequency Osamu Takaki (Gunma Univ.) CAS2017-49 MSS2017-33 |
The purpose of this paper is to introduce a temporal logic that consists of a formal language and semantics to represent... [more] | CAS2017-49 MSS2017-33 pp.57-62 |
|
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Clinical Decision Support System based on Co-occurrence Analysis of Disease Names
-- Utilization of Clinical Big Text Data by Artificial Intelligence -- Ken Yano, Eiji Aramaki (NAIST) IBISML2017-56 |
Medical information such as case reports describe the systematic documentation of a patient's medical history and care a... [more] | IBISML2017-56 pp.161-168 |
| IA, ICSS | 2017-06-08 16:15 |
Kochi | Kochi University of Technolo, Eikokuji Campus | Training simulator for creating list of victims at the disaster medical base Keijiro Okamura (Excite), Sato Fumiya, Fukumoto masahiro (Kochi Univ.of Tech) IA2017-8 ICSS2017-8 |
As one of the disaster planning, the disaster base hospital is announced as a gath-ering place for the people. As a plac... [more] | IA2017-8 ICSS2017-8 pp.43-46 |
| SIP | 2016-08-25 15:30 |
Chiba | Chiba Institute of Technology, Tsudanuma Campus | [Invited Talk]
Applications of Deep learning for image diagnosis Hayaru Shouno (UEC) SIP2016-76 |
The ``deep learning'' is the 3rd generation neural network technology, which is exhibiting its characteristics in the bi... [more] | SIP2016-76 pp.23-24 |
| MBE | 2016-06-17 13:25 |
Hokkaido | Hokkaido University | Verification of a management system for ventilator using model checking Hisashi Miyazaki, Takayuki Torigoe, Isao Kayano (Kawasaki Univ of Medical Welfare), Yasuo Ogasawara (Kawasaki Medical School/Kawasaki Univ of Medical Welfare) MBE2016-14 |
In a hospital, medical staffs may be used a system which is developed by themselves for promotion of streamlining and im... [more] | MBE2016-14 pp.27-30 |
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