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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-03 09:53 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Deep Learning based Objective Microscopic Agglutination Test Risa Nakano, Yuji Oyamada (Tottori Univ.), Ryo Ozuru (Fukuoka Univ.)  MI2023-34 |
This paper aims to achieve objective justification of decision criteria in Microscopic Agglutination Test (MAT), which i... [more] | MI2023-34 pp.15-18 |
| MI | 2024-03-03 10:17 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Electric field regression from head MR image by transformers for TMS Toyohiro Maki, Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NIT) MI2023-36 |
Transcranial Magnetic Stimulation (TMS) is a non-invasive stimulation method by electric field induced by a coil placed ... [more] | MI2023-36 pp.21-24 |
| MI | 2024-03-03 11:28 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Recognition of Tooth Types in Dental Panoramic Radiographs Containing Deciduous Teeth Using CNN-based Object Detection Koki Sakai (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Yuta Seino (Osaka Univ.), Ryo Takahashi, Tatsuro Hayashi (EyeTech), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2023-41 |
Panoramic radiographs are widely used in dentistry. However, checking each tooth and recording it in the patient's denta... [more] | MI2023-41 pp.34-35 |
| MI | 2024-03-03 14:30 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Latest Research Trends 2023: Machine Learning for Medical Image Processing Fukashi Yamazaki (Canon) MI2023-48 |
In this paper, we overview the outlines of MICCAI 2023’s main conference sessions and satellite workshops. Several inter... [more] | MI2023-48 pp.53-55 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 17:00 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Multi-agent reinforcement learning based control method for large-scale crowd movement on Mojiko Fireworks Festival dataset Kazuya Miyazaki, Masato Kiyama, Motoki Amagasaki, Toshiaki Okamoto (Kumamoto Univ.) IBISML2023-45 |
The importance of human flow guidance is increasing in response to accidents at events. In recent years, some research h... [more] | IBISML2023-45 pp.36-43 |
| MI | 2024-03-03 16:54 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Domain generalization with WSI feature Yuki Shigeyasu (Kyushu Univ.), Shota Harada (Hiroshima City Univ.), Mariyo Kurata, Kazuhiro Terada, Naoki Nakazima (Kyoto Univ.), Akihiko Yoshizawa (Nara Medical Univ.), Hiroyuki Abe, Tetsuo Ushiku (Tokyo Univ.), Ryoma Bise (Kyushu Univ.) MI2023-58 |
In this study, we propose a domain generalization method for pathological images (WSI). Domain shifts in pathological im... [more] | MI2023-58 pp.81-84 |
| MI | 2024-03-04 10:22 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Robust segmentation approach over various training-to-test ratios for gross tumor volumes of lung cancer based on fused outputs Yunhao Cui, Hidetaka Arimura (Kyushu Univ.), Yuko Shirakawa (National Hospital Organization Kyushu Cancer), Tadamasa Yoshitake (Kyushu Univ.), Yoshiyuki Shioyama (Saga HIMAT), Hidetake Yabuuchi (Kyushu Univ.) MI2023-68 |
This study investigates robust deep learning (DL) methods for segmenting lung cancer from stereotactic body radiotherapy... [more] | MI2023-68 pp.117-118 |
| MI | 2024-03-04 13:04 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Extraction of phalanges regions from hand CT images using 3D U-Net Madoka Okada, Takaharu Yamazaki, Yusei Arisawa (SIT), Kazuaki Tanaka (Neomedical), Keizo Fukumoto (Saitama Jikei) MI2023-75 |
Accurate extraction of phalanges regions from hand CT images is important to support accurate image diagnosis, treatment... [more] | MI2023-75 pp.141-144 |
| MI | 2024-03-04 13:28 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Experimental validation of relationship between training data amount and accuracy of automatic annotation in developing image diagnosis AI Koki Muranaka, Mitsutaka Nemoto, Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami, Yukako Nakamae (Kindai Univ.), Takeharu Yoshikawa (Tokyo Univ.) MI2023-77 |
To reduce the development cost of image diagnosis AI systems, we have studied and proposed an automatic process for crea... [more] | MI2023-77 pp.149-151 |
| HCS | 2024-03-02 12:05 |
Shizuoka | Tokoha University(Shizuoka-Kusanagi Campus) | Estimation of willingness to participate in other's conversation by using deep learning of facial expression measurements Kohei Yamamoto, Jiro Okuda (Kyoto Sangyo Univ.) HCS2023-92 |
In recent years, there has been much interest in developing agents that can join conversations among multiple people and... [more] | HCS2023-92 pp.25-30 |
| EMD | 2024-03-01 13:45 |
Chiba | A study on analysis of rotation phenomena of MMF speckle patterns with deep learning Ryusei Sato, Makoto Hasegawa (Chitose Inst. of Science and Technology) EMD2023-41 |
When laser light beams are allowed to propagate from one end of an optical fiber to the other end and further to be outp... [more] | EMD2023-41 pp.13-18 |
|
| AI | 2024-03-01 15:00 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology | Performance Improvement for Mobile Edge Computing with Multi-Agent Deep Reinforcement Learning Kohei Suzuki, Toshiharu Sugawara (Waseda Univ.) AI2023-42 |
In this paper, we propose a method for mobile edge computing using unmanned aerial vehicles (UAVs) to improve both the n... [more] | AI2023-42 pp.31-36 |
| CNR, BioX | 2024-02-29 13:30 |
Tokyo | NHK Science & Technology Research Laboratories (Primary: On-site, Secondary: Online) |
Design of Aerial dialing PIN code input authentication system using deep learning hand shape authentication Jun Wang, Bo Wu, Kiminori Sato (TUT) BioX2023-70 CNR2023-37 |
With the continuous development of modern technology, the demand for contactless authentication is increasing, and a sim... [more] | BioX2023-70 CNR2023-37 pp.1-6 |
| R | 2024-02-29 17:10 |
Shimane | Comparison of OSS Reliability Assessment Methods Based on Deep Learning Considering the Wiener and Jump Diffusion Processes Yoshinobu Tamura, Shoichiro Miyamoto, Lei Zhou (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2023-63 |
In many research fields, the methods based on deep learning have been proposed. In this paper, we propose the method of ... [more] | R2023-63 pp.46-51 |
|
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 16:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
Comparison of DNN architectures for determined BSS by proximal average of IVA and DNN Kazuki Matsumoto (Waseda Univ.), Koki Yamada, Kohei Yatabe (TUAT) EA2023-88 SIP2023-135 SP2023-70 |
We have proposed a framework called PA-BSS for high-performance separation matrix estimation using deep denoisers based ... [more] | EA2023-88 SIP2023-135 SP2023-70 pp.162-167 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Black-Box Adversarial Attack for Math Formula Recognition Model Haruto Namura, Masatomo Yoshida (Doshisha Univ.), Nicola Adami (UNIBS), Masahiro Okuda (Doshisha Univ.) EA2023-110 SIP2023-157 SP2023-92 |
Remarkable advances in deep learning have greatly improved the accuracy of image analysis. The progress of deep learning... [more] | EA2023-110 SIP2023-157 SP2023-92 pp.289-293 |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-02-29 15:10 |
Fukuoka | Evaluation Experiment of Display Camera Visible Light Communication Using Adversarial Examples on a Monocular Depth Estimation Model Changseok Lee, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) SeMI2023-75 |
Hidden display-camera visible light communication is a method of embedding data in visual information such as images and... [more] | SeMI2023-75 pp.25-30 |
|
| NS, IN (Joint) |
2024-03-01 11:35 |
Okinawa | Okinawa Convention Center | Application of a Deep Reinforcement Learning Algorithm to Virtual Machine Migration Control in Multi-Stage Information Processing Systems Yuki Kojitani (Okayama Univ.), Kazutoshi Nakane (Nagoya Univ.), Yuya Tarutani (Okayama Univ.), Celimuge Wu (UEC), Yusheng Ji (NII), Tokumi Yokohira (Okayama Univ.), Tutomu Murase (Nagoya Univ.), Yukinobu Fukushima (Okayama Univ.) IN2023-87 |
This paper tackles a virtual machine (VM) migration control problem to maximize the progress (accuracy) of information p... [more] | IN2023-87 pp.130-135 |
| SR | 2024-01-25 13:10 |
Nagano | Nagano-ken JA building (Primary: On-site, Secondary: Online) |
[Short Paper]
Performance Evaluations on Deep Reinfocement Leanring based Analog Beamforming in Dynamic Senarios Daisuke Sasaki, Xiaoyan Wang, Zhou Hang (Ibaraki Univ.), Umehira Masahiro (Nanzan Univ.) SR2023-72 |
As the development of small cell architecture in B5G networks, on one hand, the frequency utilization efficiency could b... [more] | SR2023-72 pp.22-24 |
| SR | 2024-01-25 13:25 |
Nagano | Nagano-ken JA building (Primary: On-site, Secondary: Online) |
[Short Paper]
A Performance Evaluation on Deep Reinforcement Learning based Transmit Power Control for Uplink NOMA Kaito Sawada, Xiaoyan Wang, Zhou Hang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SR2023-73 |
Non-Orthogonal Multiple Access (NOMA) technology has attracted much attention in order to improve frequency utilization ... [more] | SR2023-73 pp.25-27 |
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