IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 209  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2022-01-25
Online Online [Short Paper] Recognition of teeth and dental prostheses in dental panoramic radiographs using multi-label detection
Takumi Morishita (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Ryo Takahashi, Tatsuro Hayashi (media), Yuta Seino (Gifu Univ.), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2021-51
The purpose of this study is to analyze dental panoramic radiographs for completing dental files to contribute to the di... [more] MI2021-51
MI 2022-01-26
Online Online Investigation of post implementation training for medical image reading support systems
Chisako Muramatsu (Shiga Univ), Mizuho Nishio (Kobe Univ), Masahiro Yakami (Kyoto Univ), Takeshi Kubo (Tenri Hospital), Mikinao Ooiwa (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ) MI2021-58
It is desirable to have robust image interpretation support systems that can obtain the equivalent accuracy for images a... [more] MI2021-58
MI 2022-01-26
Online Online [Short Paper] Joint Learning for Multi-Phase CT Image Registration and Automatic Recognition of Anatomical Structures Based on a Deep Neural Network
Ryotaro Fuwa, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-64
Computer-aided diagnosis (CAD) systems require image registration and automatic recognition of anatomical structures on ... [more] MI2021-64
MI 2022-01-27
Online Online [Short Paper] utomatic Extraction of Regions of Vascular Lesions Including Diffuse Lesions in MR Images Using Weakly Supervised Deep Learning
Koki Fukaya, Takeshi Hara (Gifu Univ.), Taiki Nozaki, Masaki Matsusako (St.Luke's International Hosp.), Tetsuro Katafuchi (Gifu Medical Univ.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.) MI2021-87
Klippel-Trenaunay-Weber syndrome (KTS) is a type of vascular lesion for which there is no quantitative diagnostic method... [more] MI2021-87
MI 2022-01-27
Online Online [Short Paper] Multiple Organ Detection from CT Images Based on Deep Learning -- Fusion of 2D-CNN and Transformer --
Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-89
The automatic recognition of multiple organs in 3D CT images and detecting organ positions are required for computer-aid... [more] MI2021-89
MI, MICT [detail] 2021-11-05
Online Online [Short Paper] Sketch-based CT image generation of lung cancers using Pix2pix -- An attempt to improve representation by adopting Style Blocks --
Ryo Toda, Atsushi Teramoto (FHU), Masakazu Tsujimoto (FHUH), Hiroshi Toyama, Masashi Kondo, Kazuyoshi Imaizumi, Kuniaki Saito (FHU), Hiroshi Fujita (Gifu Univ.) MICT2021-42 MI2021-40
Generative adversarial networks (GAN) have been used to overcome the lack of data in medical images. However, such appli... [more] MICT2021-42 MI2021-40
MI 2021-07-08
Online Online Automated detection of malignant tumors on PET/CT images using convolutional neural networks and statistical images
Takumi Aihara (Gifu Univ.), Masaki Matsusako (St.Luke's International Hospital), Takeshi Hara (Gifu Univ.), Taiki Nozaki (St.Luke's International Hospital), Tetsuro Katafuchi (Gifu University of Medical Science), Satoshi Ito, Masaya Kato (Daiyukai General Hospital), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.) MI2021-9
In this study, we performed automatic detection of tumors from PET / CT images using Z-score images. The Z-score image i... [more] MI2021-9
MI 2021-07-08
Online Online [Short Paper] Performance comparison of multiple deep CNN methods for multiple organ detection in CT images
Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-10
The scheme of automatically recognizing multiple organs and detecting their localizations in 3D CT images is required fo... [more] MI2021-10
MI 2021-05-17
Online Online [Short Paper] Fundamental study of automatic segmentation of skeletal muscle regions on whole body CT images based on a 3D DeepCNN
Kota Nozaki, Xiangong Zhou (Gifu Univ.), Naoki Kamiya (Aichi Prefectual Univ.), Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-7
Amyotrophic lateral sclerosis (ALS) is an intractable disease in which voluntary muscles atrophy gradully due to degener... [more] MI2021-7
ICM 2021-03-19
Online Online A Proposal for Improving the Accuracy of Anomaly Detection by Focusing on Response Time in Web Services
Tatsuo Kumano, Naoyoshi Ohkawa, Hiroshi Fujita (Fujitsu Labs), Takuya Yoshikawa (Cybozu), Hitoshi Ueno (Fujitsu Labs) ICM2020-70
In web services, usability decreases and user satisfaction declines when the response time is longer than usual. Operato... [more] ICM2020-70
MI 2021-03-17
Online Online [Short Paper] Preliminary study for improving the performance of abdominal multi-phase CT image registration based on 3D deep CNN with a CycleGAN
Ryotaro Fuwa, Xiangong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2020-90
Deep learning is expected to be an approach to solve the problem of accurate medical image alignment. Recently, VoxelMor... [more] MI2020-90
Online Online Data cleansing process to support analysis of performance problem on cloud infrastructure
Miyuki Ono, Hiroshi Fujita, Masao Yamamoto, Yukihiro Watanabe (Fujitsu Labs) ICM2020-3
 [more] ICM2020-3
Online Online Fault analysis technique for micro service infrastructure
Hiroshi Fujita, Miyuki Ono, Masao Yamamoto, Yukihiro Watanabe (Fujitsu Labs) ICM2020-7
 [more] ICM2020-7
MI 2020-01-29
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Retinal nerve fiber layer analysis on fundus images using CNN trained with OCT data
Ryusuke Watanabe (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Akira Sawada, Xiangrong Zhou (Gifu Univ.), Yuji Hatanaka (USP), Takeshi Hara, Tetsuya Yamamoto, Hiroshi Fujita (Gifu Univ.) MI2019-80
Glaucoma is the first leading cause of blindness in Japan. However, glaucoma only has a few warning signs or symptoms. T... [more] MI2019-80
MI 2020-01-29
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Recognition of dentition using deep learning in dental panoramic X-ray images
Takumi Morishita (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Xiangrong Zhou (Gifu Univ.), Ryo Takahashi, Tatsuro Hayashi (media), Wataru Nishiyama (Asahi Univ), Takeshi Hara (Gifu Univ.), Yoshiko Ariji, Eiichiro Ariji (Aichi Gakuin Univ.), Akitoshi Katsumata (Asahi Univ), Hiroshi Fujita (Gifu Univ.) MI2019-81
Dental panoramic X-ray images are obtained at more than 98% of dental clinics in Japan. However, since all the teeth are... [more] MI2019-81
MI 2020-01-29
Okinawa OKINAWAKEN SEINENKAIKAN Tooth detection based on relation of teeth with Relation Module on dental Cone-beam CT
Shota Kutsuna (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Ryo Takahashi, Tatsuro Hayashi (Media CO., Ltd.), Xiangrong Zhor (Gifu Univ.), Wataru nishiyama (Asashi Univ.), Yoshiko Ariji (Aichi-Gakuin Univ.), Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asashi Univ.), Eichiro Ariji (Aichi-Gakuin Univ.), Hiroshi Fujita (Gifu Univ.) MI2019-82
Recently, image diagnosis using dental panoramic X-ray images and dental cone-beam CT (CBCT) is widely used in dental tr... [more] MI2019-82
MI 2020-01-29
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Automatic segmentation of malignant tumors using PET/CT images and statistical images
Manami Haga, Takeshi Hara (Gifu Univ.), Satoshi Ito, Masaya Kato (Daiyukai Hospital), Masaki Matsusako (St.Luke's Hospital), Zhou Xiangrong (Gifu Univ.), Tetsuro Katafuchi (Gifu Univ. of Medical Science), Hiroshi Fujita (Gifu Univ.) MI2019-83
The purpose of this study was to develop an automated detection system of tumors in FDG-PET/CT images. In this work, an ... [more] MI2019-83
MI 2020-01-29
Okinawa OKINAWAKEN SEINENKAIKAN Investigation of Hard Exudates Image Generated by Cramer Generative Adversarial Networks
Maho Fujita, Yuji Hatanaka, Wataru Sunayama (Univ. of Shiga Prefecture), Chisako Muramatsu (Shiga Univ.), Hiroshi FUjita (Gifu Univ.) MI2019-85
(To be available after the conference date) [more] MI2019-85
MI 2020-01-30
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Study of image quality improvement technique using deep learning for nuclear medicine images
Masaya Momiuchi, Takeshi Hara (Gifu Univ), Tetsuro Katafuchi (Gifu Univ of Medical Science), Masaki Matsusako (St. Luke's Hospital), Hiroshi Fujita (Gifu Univ) MI2019-102
Spatial resolutions in nuclear medical imaging are not equivalent to ordinary medical images such as CT or MR modalities... [more] MI2019-102
MI 2020-01-30
Okinawa OKINAWAKEN SEINENKAIKAN 2D Deep CNN for automated multi organ segmentation from CT images by using consecutive slices feature maps
Hiroki Isakari, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2019-113
The development of a computer-aided diagnosis system is expected to reduce the burden on the radiologist in clinical pra... [more] MI2019-113
 Results 1 - 20 of 209  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan