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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 14:30 |
Hokkaido | Hokkaido Univ. | Optimizing Division Schemes with Mixture of Experts for Medical Data Compression Jiancheng Zhao, Takefumi Ogawa (Utokyo)  ITS2023-73 IE2023-62 |
Implicit Neural Representation (INR) is an emerging technique for data compression that utilizes the parameters of a Dee... [more] | ITS2023-73 IE2023-62 pp.145-150 |
| MI, MICT | 2023-11-14 13:20 |
Fukuoka | Medical image diagnosis support system with image anonymization based on deep learning techniques Katsuto Iwai, Ryuunosuke Kounosu (Toho Univ./AIST), Hirokazu Nosato (AIST), Yuu Nakajima (Toho Univ.) MICT2023-30 MI2023-23 |
When medical imaging AI models are hosted on cloud service there is a risk of sensitive medical images being leaked when... [more] | MICT2023-30 MI2023-23 pp.21-24 |
|
| MBE, IEE-MBE | 2023-06-16 14:10 |
Hokkaido | Hokkaido University (Primary: On-site, Secondary: Online) |
Development of an Extra-corporeal circuit Assembly Support System Using Image Recognition Hisashi Miyazaki (Nippon Bunri Univ.), Takayuki Torigoe, Isao Kayano (Kawasaki Univ. of Medical Welfare) MBE2023-9 |
In this research, we developed a system that automatically displays an assembly manual for an artificial heart-lung mach... [more] | MBE2023-9 p.3 |
| SC | 2023-06-03 10:35 |
Fukushima | UBIC 3D Theater, University of Aizu (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Understanding transfer learning for medical image classification. Dao Ngoc HOng, Paik Incheon (UoA) SC2023-9 |
Transfer learning is one of the critical solutions to deal with the problem of data scarcity, where the learning process... [more] | SC2023-9 pp.48-52 |
| MICT, WBS, RCC, SAT (Joint) [detail] |
2023-05-25 14:50 |
Tokyo | TOKYO BIG SIGHT (Primary: On-site, Secondary: Online) |
Estimation Technique of Carrier to Noise Ratio of Wireless Medical Telemeter Using Soft Defined Radio with Machine Learning Kai Ishida (Junshin Gakuen Univ.) SAT2023-3 MICT2023-3 |
I developed a novel machine-learning model to estimate the carrier-to-noise ratio (CNR) of wireless medical telemeter (W... [more] | SAT2023-3 MICT2023-3 pp.10-15 |
| CCS | 2023-03-27 09:00 |
Hokkaido | RUSUTSU RESORT | Medical Image Segmentation with Inverse Heat Dissipation Model Yu Kashihara, Takashi Matsubara (Osaka Univ.) CCS2022-82 |
The diffusion model is a generative model based on stochastic transitions and has been successfully used to generate an... [more] |
CCS2022-82 pp.107-112 |
| LOIS | 2023-03-13 15:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Proposal of emergency demand forecasting method based on population projection data by age using large-scale emergency data Masaki Kaneda, Sinan Chen, Masahide Nakamura (Kobe Univ), Sachio Saiki (Kochi Univ of Technology of) LOIS2022-54 |
In recent years, Japan is facing a super-aging society, which has a wide range of impacts. In particular, the tightness ... [more] | LOIS2022-54 pp.59-65 |
| MI | 2023-03-06 17:04 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Rotation-Equivariant CNN for Medical Image Processing Applications Ryota Ogino, Kugler Mauricio, Tatsuya Yokota, Hidekata Hontani (NITech) MI2022-96 |
In this study, we report an attempt to use a Rotation-Equivariant CNN to organize image data whose rotation direction an... [more] | MI2022-96 pp.113-114 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 11:05 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
On the Effectiveness of Formula-Driven Supervised Learning for Medical Image Tasks Ryuto Endo, Shuya Takahashi, Eisaku Maeda (TDU) PRMU2022-71 IBISML2022-78 |
Deep learning for image information processing often uses manually maintained natural image data. However, these data ha... [more] | PRMU2022-71 IBISML2022-78 pp.71-75 |
| EST | 2023-01-27 11:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Radar Detection of Multiple Walking People Using Image-Processing Technique and Generalized Likelihood Ratio Test Jianxuan Yang, Jianxin Yi (Wuhan Univ.), Takuya Sakamoto (Kyoto Univ.), Xianrong Wan (Wuhan Univ.) EST2022-95 |
This study presents a detection algorithm of extended radar targets using image features and achieves the detection of m... [more] | EST2022-95 pp.108-111 |
| MBE, MICT, IEE-MBE [detail] | 2023-01-17 10:15 |
Saga | Personal Health Record app using HL7 for linking with regional medical collaboration systems Tomohiro Matsuyama, Eisuke Hanada (Saga Univ) MICT2022-45 MBE2022-45 |
In some countries, Personal Health Records (PHRs), with which patients manage their diagnostic results took from multipl... [more] | MICT2022-45 MBE2022-45 pp.13-16 |
|
| MI | 2022-07-08 17:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Weakly-Supervised Focal Liver Lesion Detection in CT Images He Li, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Akira Furukawa (Tokyo Metropolitan Univ.), Shuzo Kanasaki (Koseikai Takeda Hospital), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-40 |
Convolutional neural networks have been widely used for anomaly detection and one of their most common methods is autoen... [more] | MI2022-40 pp.30-33 |
| SC | 2022-05-27 15:10 |
Online | Online | [Poster Presentation]
A Transformer for Long Medical Documents Cherubin Mugisha, Incheon Paik (UoA) SC2022-8 |
Natural language processing models are advancing technology by extracting valuable information from different datasets. ... [more] | SC2022-8 pp.43-53 |
| MW | 2022-05-20 13:25 |
Kyoto | Kyoto Univ. (Primary: On-site, Secondary: Online) |
Near-field Metamaterial-based WPT system with FSK Demodulation in CMOS Technology Mohd Khairi Bin Zulkalnain, Shimaa Alshhawy, Kan Terazawa, Adel Barakat, Ramesh Pokharel (九大) MW2022-21 |
Near-field Metamaterial-based WPT system can enable over coupling mode by improving the transmitter (TX)/receiver (RX) c... [more] | MW2022-21 pp.32-35 |
| SC | 2022-03-11 09:00 |
Online | EventIn | A Web Data Base System Utilizing Open Data Provided by the Ministry of Health, Labour and Welfare Hiroshi Sunaga, Rika Iguchi (OIT) SC2021-34 |
This paper proposes a Web Database System as a way of utilizing the open data provided by the Ministry of Health, Labour... [more] | SC2021-34 pp.1-6 |
| 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 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 15:35 |
Online | Online | Liver Tumor Segmentation by Using a Massive-Training Artificial Neural Network (MTANN) and its Analysis in Liver CT. Yuqiao Yang, Muneyuki Sato, Ze Jin, Kenji Suzuki (Tokyo Tech) ITS2021-33 IE2021-42 |
Based on a 3D massive-training artificial neural network (MTANN) combined with a Hessian-based ellipse enhancer, a small... [more] | ITS2021-33 IE2021-42 pp.49-54 |
| CCS | 2021-11-19 14:30 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
A Study of Deep Learning for Abnormal Waveforms in ECG Image Data Using Expert Diagnosis as a Teacher Kentaro Hashimoto, Yuichiro Yamamura (Univ of Tsukuba.), Ryota Iwatsuka (Taiyo-kai Social Welfare awachiiki iryo center), Hiroyasu Ando (Tohoku Univ./Univ of Tsukuba.) CCS2021-33 |
Artificial intelligence is expected to play a variety of roles in the medical fields. Diagnosis based on ECG readings is... [more] | CCS2021-33 pp.89-93 |
| MI | 2021-08-27 13:10 |
Online | Online | [Special Talk]
Hospital information system (HIS) and clinical and research supporting system Haku Ishida (Yamaguchi Univ.) MI2021-21 |
At present, more than 90% of large hospitals with more than 400 beds have implemented a hospital information system (HIS... [more] | MI2021-21 p.1 |
| 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 |
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