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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 1283  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
US 2021-06-18
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.)
EMM, IT 2021-05-21
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
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
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
MI 2021-03-15
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
MI 2021-03-16
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
MI 2021-03-16
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
MI 2021-03-16
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
MI 2021-03-16
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
MI 2021-03-17
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
MI 2021-03-17
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
MI 2021-03-17
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
EMM 2021-03-04
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
LOIS 2021-03-04
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
LOIS 2021-03-04
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]
EMM 2021-03-05
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
EMM 2021-03-05
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
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
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
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
 Results 1 - 20 of 1283  /  [Next]  
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