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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| US | 2021-06-18 16:25 |
Online | Online | Basic study of discrimination evaluation of fibers and fats in organs by amplitude enveloping characteristic analysis Yuki Ujihara (Chiba Univ.), Kazuki Tamura (Hamamatsu Med. Univ.), Shohei Mori (Tohoku Univ.), Po-Hsiang Tsui (Chang Gung Univ.), Shinnosuke Hirata, Kenji Yoshida, Tadashi Yamaguchi (Chiba Univ.) |
[more] | |
| EMM, IT | 2021-05-21 14:00 |
Online | Online | An MSB Prediction-Based Method with Less Prediction Errors for Reversible Data Hiding in Encrypted Images Kotaro Yamamura, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) |
(To be available after the conference date) [more] | |
| EMM, IT | 2021-05-21 14:25 |
Online | Online | A reversible data hiding method with high flexibility in compressive encrypted images Ryota Motomura, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) |
(To be available after the conference date) [more] | |
| RCS | 2021-04-23 09:45 |
Online | Online | Improving Classification Accuracy in Multi-User Communication Environment Information Estimation by Machine Learning Shun Kojima (Utsunomiya Univ.), Yi Feng (Duke Univ.), Kazuki Maruta (Tokyo Tech.), Chang-Jun Ahn (Chiba Univ.), Vahid Tarokh (Duke Univ.)  RCS2021-10 |
(To be available after the conference date) [more] | RCS2021-10 pp.42-47 |
| MI | 2021-03-15 11:15 |
Online | Online | Improvement of extravasation detection ability using bone extraction method by adaptive threshold determination in contrast-enhanced CT images Hiroki Kimura, Kumiko Arai, Nozomi Takahashi (Chiba Univ), Yuichiro Yoshimura (Toyama Univ), Takaaki Nakada, Toshiya Nakaguchi (Chiba Univ) MI2020-48 |
(To be available after the conference date) [more] | MI2020-48 pp.3-8 |
| MI | 2021-03-16 13:45 |
Online | Online | Deep Learning prediction of lung transplant rejection from FDG-PET and visualization of the basis for the decision Keisuke Hori (Chiba Univ.), Yuma Iwao, Miwako Takahashi (QST), Haruhiko Shiiya (UTokyo/Hokkaido Univ.), Masaaki Sato (UTokyo), Taiga Yamaya (QST) MI2020-73 |
We conducted a study to correlate FDG-PET images with pathological diagnosis of inflammation in lung transplantation (LT... [more] | MI2020-73 pp.108-111 |
| MI | 2021-03-16 14:30 |
Online | Online | Respiratory rate estimation based on respiratory region selection method using thermography Yudai Takahashi, Gu Yi, Ryuzo Abe, Taka-aki Nakada, Toshiya Nakaguchi (Chiba Univ.) MI2020-75 |
[more] | MI2020-75 pp.118-123 |
| MI | 2021-03-16 14:45 |
Online | Online | Respiratory rate estimation based on inter-frame change classification of camera images by deep learning Gu Yi, Yudai Takahashi, Ryuzo Abe, Taka-aki Nakada, Toshiya Nakaguchi (Chiba Univ.) MI2020-76 |
[more] | MI2020-76 pp.124-127 |
| MI | 2021-03-16 16:45 |
Online | Online | [Short Paper]
Construction of Microcirculation Image Analysis System and Investigation into Effect of Thrombomodulin Alfa for Septic Model Rats Mami Kawasaki (Chiba Univ.), Kazuya Nakano (Miyazaki Univ.), Takashi Ohnishi, Masashi Sekine, Eizo Watanabe, Shigeto Oda, Taka-aki Nakada, Hideaki Haneishi (Chiba Univ.) MI2020-83 |
Direct observation of the impairment and recovery of microcirculation related to sepsis may give us clear understanding ... [more] | MI2020-83 pp.152-153 |
| MI | 2021-03-17 11:00 |
Online | Online | Optimal Design and Quality Assessment of Color Laparoscopic Super-Resolution Image by Generative Adversarial Networks Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MI2020-91 |
The Generative Adversarial Networks (GAN) is unsupervised learning enabled to transform according to data characteristic... [more] | MI2020-91 pp.186-190 |
| MI | 2021-03-17 13:15 |
Online | Online | Applications of hybrid reconstruction combining PET and Compton imaging Hideaki Tashima, Eiji Yoshida (NIRS-QST), Takumi Nishina (Chiba Univ.), Sodai Takyu, Fumihiko Nishikido (NIRS-QST), Mikio Suga (Chiba Univ.), Hidekatsu Wakizaka, Miwako Takahashi, Kotaro Nagatsu, Atsushi Tsuji (NIRS-QST), Kei Kamada, Akira Yoshikawa (C&A/Tohoku Univ.), Katia Parodi (LMU), Taiga Yamaya (NIRS-QST) MI2020-94 |
We have been developing WGI enabling simultaneous measurement of PET and Compton imaging. This study developed a hybrid ... [more] | MI2020-94 pp.203-206 |
| MI | 2021-03-17 13:30 |
Online | Online | Noise reduction method for sparse-view computed tomography using spatial frequency components Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2020-95 |
Sparse-view CT, an imaging technique to reduce the number of projections, can reduce the radiation dose and scanning dur... [more] | MI2020-95 pp.207-211 |
| EMM | 2021-03-04 13:30 |
Online | Online | [Poster Presentation]
Object Boundary Correction for Monocular Depth Estimation Using Region Segmentation Ikuma Yasukawa, Shoko Imaizumi (Chiba Univ.) EMM2020-67 |
We propose a new method to generate high-quality depth images in this paper. The proposed method corrects object boundar... [more] | EMM2020-67 pp.1-6 |
| LOIS | 2021-03-04 13:50 |
Online | Online | Study of automatic masking method of locality on the plant specimen image based on the arrangement pattern of the text detection result Depeng Zhang, Yasuhiko Higaki, Yasuo Sugai (Chiba Univ.) LOIS2020-49 |
When plant specimens are published, the locality of endangered species cannot be disclosed. Images with specimen labels ... [more] | LOIS2020-49 pp.12-17 |
| LOIS | 2021-03-04 14:15 |
Online | Online | Verification of delivery performance of the on-demand video delivery system Kenichi Shimizu, Yasuhiko Higaki, Shigeo Fujimoto, Yasuo Sugai (Chiba Univ.) LOIS2020-50 |
The on-demand class video delivery system developed by the authors has achieved stable operation without any major syst... [more] |
LOIS2020-50 pp.18-23 |
| EMM | 2021-03-05 09:30 |
Online | Online | An MSB Prediction-Based Method Using Linear Regression for Reversible Data Hiding in Encrypted Images Kotaro Yamamura, Ryoichi Hirasawa, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2020-75 |
In this paper, we propose an MSB prediction-based reversible data hiding method using linear regression in encrypted dom... [more] | EMM2020-75 pp.46-51 |
| EMM | 2021-03-05 09:55 |
Online | Online | A Reversible Image Processing Method for Saturation and Contrast Enhancement Yuki Sugimoto, Shoko Imaizumi (Chiba Univ.) EMM2020-76 |
In this paper, we propose an image processing method for color images to enhance both saturation and contrast with rever... [more] | EMM2020-76 pp.52-57 |
| IN, NS (Joint) |
2021-03-05 09:30 |
Online | Online | Improving Estimation Method for Time Drift Characteristics Using Thermostatic Chamber Kiyonari Katsura, Naoto Hoshikawa, Katsumi Hirata (NIT, Oyama College), Atsushi Shiraki, Tomoyoshi Ito (Chiba Univ.) NS2020-144 |
Since a computer system’s time deviations can result in system malfunction, time correction technology via IP communicat... [more] | NS2020-144 pp.126-130 |
| EE, IEE-SPC (Joint) |
2021-03-01 16:35 |
Online | Online | [Special Talk]
Report of the 2020 International Congress and Conferences on Energy Electronics
-- ECCE and ICRERA -- Hiroo Sekiya (Chiba Univ.), Nobumasa Matsui (NiAS) EE2020-44 |
[more] | EE2020-44 pp.25-27 |
| EE, IEE-SPC (Joint) |
2021-03-01 16:50 |
Online | Online | Design of Load-Independent Class-E^2 DC-DC Converter Tatsuki Osato (Chiba Univ.), Xiuqin Wei (CIT), Nguyen Kien, Hiroo Sekiya (Chiba Univ.) EE2020-45 |
This paper presents a design of load-independent class-E^2 DC-DC converter consist of load-independent class-E inverter ... [more] | EE2020-45 pp.28-33 |
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