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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 09:24 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring Tetsuya Asakawa, Hiroki Shinoda (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT)  PRMU2023-59 |
Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcifica- ... [more] | PRMU2023-59 pp.47-52 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-26 15:58 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | An attempt to determine stenosis from coronary stretch images using deep learning Tetsuya Asakawa, Hiroki Shinoda, Yuta Fukatsu (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2023-49 |
Coronary artery stenosis, one of the most common heart diseases, is diagnosed by a human, which is a time-consuming and ... [more] | PRMU2023-49 pp.50-55 |
| MI, MICT | 2023-11-14 14:00 |
Fukuoka | Estimating the degree of coronary artery stenosis from non-contrast CT images using a 3D convolution model
-- Categorical approach -- Hiroki Shinoda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuya Togawa, Kei Nomura (Toyohashi Heart Center), Masaki Aono (TUT) MICT2023-32 MI2023-25 |
In current medical images diagnosis, specialists take pictures of patients and search for the disease from the images. I... [more] | MICT2023-32 MI2023-25 pp.29-32 |
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| MI | 2023-03-06 09:57 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Multi-label multi-class estimation of pathology in high-resolution chest CT images using SRGAN Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-76 |
The purpose of this research, three pathologies (thickening, calcification, and cavitation) were accurately estimated as... [more] | MI2022-76 pp.14-19 |
| MI | 2023-03-06 15:47 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Predicting disease from Chest-X-ray and Heart-CT images using Fine Tuning Yuya Kumagai, Hiroki Shinoda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-91 |
[more] | MI2022-91 pp.88-93 |
| PRMU | 2022-10-21 16:25 |
Tokyo | Miraikan - The National Museum of Emerging Science and Innovation (Primary: On-site, Secondary: Online) |
Heart Detection Method in Non-Contrast Chest CT Image and Application to Calcium Scoring Yuki Sugimoto, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) PRMU2022-31 |
Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcificati... [more] | PRMU2022-31 pp.50-55 |
| IA | 2022-10-14 16:45 |
Tokyo | Koshiba Hall, The University of Tokyo (Primary: On-site, Secondary: Online) |
A Deployment of SRv6 Single Stack Backbone at ShowNet 2022 Ryo Nakamura (Univ of Tokyo), Teppei Kamata (Cisco), Kazuki Shimizu (Juniper), Masato Hirose (NTTcom), Takayuki Watanabe (Juniper), Takashi Tomine (NICT) IA2022-33 |
This paper reports the design and deployment of the SRv6 single-stack backbone at Interop Tokyo 2022 ShowNet. Interop To... [more] | IA2022-33 pp.1-6 |
| MI | 2022-07-09 15:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Disease segmentation of 3D diagnostic images
-- Disease detection using CT data -- Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-47 |
Disease detection from medical images reinforce the judgment of doctors and medical engineers, and is expected to play a... [more] | MI2022-47 pp.56-60 |
| PRMU, IPSJ-CVIM | 2022-03-10 10:40 |
Online | Online | Medical Image Captioning with Information based on Medical Concepts Riku Tsuneda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) PRMU2021-64 |
Image Captioning for medical images is expected to augment the judgment of doctors and serve as a second opinion. Medica... [more] | PRMU2021-64 pp.25-30 |
| SS, MSS | 2022-01-12 14:05 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Automatic Parameter Prediction for Add Parameter Refactorings Kazuki Shimizu, Yutaro Kashiwa, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) MSS2021-54 SS2021-41 |
(To be available after the conference date) [more] | MSS2021-54 SS2021-41 pp.130-135 |
| SS | 2020-03-04 13:25 |
Okinawa | (Cancelled but technical report was issued) |
Supporting OSS Developers to Make and Maintain README.md Files in OSS Projects Kazuki Shimizu, Yasutaka Kamei, Ryosuke Sato, Naoyasu Ubayashi (Kyushu Univ.) SS2019-42 |
In the OSS development projects published on hosting service such as GitHub, README.md files are used to get an overview... [more] | SS2019-42 pp.7-12 |
| IA | 2019-10-04 17:15 |
Tokyo | Tokyo Univ., Hongo Campus, Takeda Hall | A trial of SRv6 Service Chaining at ShowNet 2019 Ryo Nakamura (Univ of Tokyo), Yukito Ueno (NTTcom), Teppei Kamata (Cisco), Kazuki Shimizu (Juniper), Takashi Tomine (Lepidum), Takayuki Watanabe (Juniper) IA2019-23 |
This paper reports a trial of Segment Routing IPv6 (SRv6)-based service chaining at ShowNet in Interop Tokyo 2019. Inter... [more] | IA2019-23 pp.23-28 |
| IA, IN (Joint) |
2018-12-13 16:10 |
Hiroshima | Hiroshima Univ. | [Invited Talk]
Inter-regional Service Chaining based on IP routing techniques in ShowNet 2018 Yukito Ueno (NTT Com), Ryo Nakamura (The University of Tokyo), Teppei Kamata (Cisco Systems G.K.), Kazuki Shimizu (Juniper Networks), Takashi Tomine (Lepidum), Takayuki Watanabe (Juniper Networks) |
[more] | |
| ED | 2015-08-03 13:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | DEVELOPMENT OF NO PH SENSITIVE DEVICE USING PMMA CONCERNTRATED POLYMER BRUSHE Kazuki Shimizu (Toyohashi Univ of Tech), Beak Sungchul (Kyoto Univ), Fumihiro Dasai, Tatsuya Iwata, Makoto Ishida (Toyohashi Univ of Tech), Yoshinobu Tujii (Kyoto Univ), Kazuaki Sawada (Toyohashi Univ of Tech) ED2015-47 |
This paper reports a pH measuring system that uses a sensor device that can measure only the electrolyte potential, as a... [more] | ED2015-47 pp.1-4 |
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