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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-26 15:58 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | An attempt to determine stenosis from coronary stretch images using deep learning Tetsuya Asakawa, Hiroki Shinoda, Yuta Fukatsu (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT)  PRMU2023-49 |
Coronary artery stenosis, one of the most common heart diseases, is diagnosed by a human, which is a time-consuming and ... [more] | PRMU2023-49 pp.50-55 |
| MI | 2023-07-03 15:00 |
Miyagi | Tohoku Univ. Sakura Hall | Anchor Free Universal Lesion Detector in CT images using YOLOv7 Sena Shimizu, Minoru Nakazawa (KIT) MI2023-12 |
In recent years, there has been active research on Universal Lesion Detection(ULD) using Deep Learning models to detect ... [more] | MI2023-12 pp.14-19 |
| MI | 2023-03-06 09:57 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Multi-label multi-class estimation of pathology in high-resolution chest CT images using SRGAN Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-76 |
The purpose of this research, three pathologies (thickening, calcification, and cavitation) were accurately estimated as... [more] | MI2022-76 pp.14-19 |
| MI | 2023-03-07 10:38 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Proposal a robust respiratory gating method for rodent micro-CT imaging Mahiru Fukushima, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-109 |
Micro-CT has recently been applied to in-vivo small animal imaging in preclinical studies such as drug discovery researc... [more] | MI2022-109 pp.148-149 |
| MI | 2022-07-09 15:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Disease segmentation of 3D diagnostic images
-- Disease detection using CT data -- Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-47 |
Disease detection from medical images reinforce the judgment of doctors and medical engineers, and is expected to play a... [more] | MI2022-47 pp.56-60 |
| MBE, NC (Joint) |
2022-03-02 16:10 |
Online | Online | XMCD-CT Reconstruction Using Compressed Sensing Tsukito Takizawa, Hayaru Shouno (The Univ. of Electro-Communications), Masaichiro Mizumaki (JASRI), Motohiro Suzuki (Kwansei Gakuin Univ.) NC2021-58 |
Observation of the magnetic domain structure is important for understanding the magnetic properties of materials includi... [more] | NC2021-58 pp.62-67 |
| MI, MICT [detail] | 2021-11-05 15:50 |
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 pp.66-67 |
| MI | 2021-07-09 14:00 |
Online | Online | Severity determination of chest CT data in tuberculosis patients using deep learning Tetsuya Asakawa, Riku Tsuneda (TUT), Kazuki Simizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2021-19 |
The purpose of this study is to make accurate estimates for five labels (infiltrative, focal, tuberculoma, miliary, and ... [more] | MI2021-19 pp.42-46 |
| MI | 2021-03-16 09:15 |
Online | Online | Tuberculosis in Chest CT Image Analysis based on multi-axis projections using Deep learning Tetsuya Asakawa, Masaki Aono (Toyohashi Univ) MI2020-64 |
The purpose of this research is to make accurate estimates for the six labels (Left affected, Right affected, Light ple... [more] | MI2020-64 pp.74-79 |
| MI | 2019-01-23 11:40 |
Okinawa | Influence of group normalization in multi-class organ segmentation of abdominal CT volumes Chen Shen (Nagoya Univ.), Fausto Milletari, Holger R. Roth (Nvidia), Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ.) MI2018-94 |
Organ segmentation is one of the most important branches of medical image analysis. Fully convolutional networks (FCNs) ... [more] | MI2018-94 pp.143-148 |
|
| PRMU, MI, IE, SIP | 2018-05-18 16:45 |
Gifu | SIP2018-19 IE2018-19 PRMU2018-19 MI2018-19 |
This study proposed an identification method based on shape information of thoracic vertebras in ante-mortem (AM) and po... [more] | SIP2018-19 IE2018-19 PRMU2018-19 MI2018-19 pp.87-88 |
|
| SIS | 2017-12-15 10:00 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Elimination of high radioactivity data using forward-projection technique in myocardial perfusion SPECT image Jo Mitsuzuka, Kazuhiro Sawa, Satoru Kishida (Tottori Univ.) SIS2017-48 |
Our purpose is to eliminate a high radioactivity data such as a gall bladder, in the projection data to reduce artifacts... [more] | SIS2017-48 pp.85-87 |
| MI, MICT | 2017-11-06 10:40 |
Kagawa | Sunport Hall Takamatsu | On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Central Center Hospital), Kensaku Mori (Nagoya Univ.) MICT2017-29 MI2017-51 |
Deep learning-based methods achieved impressive results in segmentations from medical images. With the development of 3D... [more] | MICT2017-29 MI2017-51 pp.15-20 |
| MI | 2017-09-25 13:30 |
Chiba | Chiba Univ. | [Short Paper]
3D Analysis of airway and vascular structures in pulmonary acinus using SRµCT images Kurumi Saito, Yuya Kobayashi, Satoru Ohnishi, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Keiji Umetani (JASRI), Toshihiro Okamoto (Cleveland Clinic), Hiroaki Sakai (Hyogo AGMC), Yasutaka Nakano (Shiga Univ. of Med. Sci.), Harumi Itoh (Univ. of Fukui) MI2017-41 |
Conversion of images at micro level of the normal lung and those with very early stage lung disease, and the quantitativ... [more] | MI2017-41 pp.11-12 |
| MBE, NC (Joint) |
2016-03-23 10:25 |
Tokyo | Tamagawa University | Modulation transfer function measurement of CT images reconstructed by a hard kernel Jo Mitsuzuka, Kazuhiro Sawa, Yoshinori Takehana, Akihiro Tanaka, Kentaro Kinoshita, Satoru Kishida (Tottori Univ.) NC2015-80 |
To develop MTF(Modulation Transfer Function) measurement of CT images reconstructed by a hard kernel filter, we proposed... [more] | NC2015-80 pp.59-63 |
| MI | 2016-01-19 13:20 |
Okinawa | Bunka Tenbusu Kan | Source Localization in Remote After Loading System Using CT Image and Radiograph Yuki Miyajima, Takayuki Kanai, Koji Suzuki (yamagata univ.), Satoshi Saito (Toshiba medical systems), Tetsuya Yuasa, Kenji Nemoto (yamagata univ.) MI2015-87 |
RALS (Remote After Loading System) which is a kind of radiation therapy are widely applied to the treatment for cervical... [more] | MI2015-87 pp.75-80 |
| MI | 2016-01-20 13:05 |
Okinawa | Bunka Tenbusu Kan | Semi-automatic extraction method of calcified plaque from coronary computed tomography angiography image Yuki Yoshida (Yamagata Univ.), Koki Shibuya (Nihonkai General Hospital), Kei Sasaki, Takaaki Horii, Tetsuya Yuasa (Yamagata Univ.) MI2015-132 |
CCTA (Coronary Computed Tomography Angiography) offers not only diagnostic capability matching that of CAG (Coronary Ang... [more] | MI2015-132 pp.289-294 |
| IMQ | 2014-12-20 14:30 |
Aichi | Nagoya University | Normality of noise distribution in X-ray computed tomography images Yuma Ohashi, Mitsuru Ikeda, Taketo Kimura, Kazuki Tsukamoto, Kuniharu Imai, Chiyo Kawaura, Keisuke Fujii (Nagoya Univ.) IMQ2014-18 |
When confined to quantum noise, the noise in X-ray Computed Tomography (CT) images is according to a Poisson distributio... [more] | IMQ2014-18 pp.11-16 |
| MI | 2014-01-26 14:25 |
Okinawa | Bunka Tenbusu Kan | [Special Talk]
Development of similar case retrieval technology for supporting medical image diagnosis and education of various lung diseases Kazuki Kozuka, Kazutoyo Takata, Kenji Kondo, Masaki Kiyono (Panasonic), Masato Tanaka, Toyohiko Sakai, Hirohiko Kimura (Univ. of Fukui) MI2013-81 |
In this paper, we propose a new CBIR(Content-based Image Retrieval) system that can retrieve similar cases include “diff... [more] | MI2013-81 pp.139-142 |
| MI | 2013-01-24 16:20 |
Okinawa | Bunka Tenbusu Kan | Extraction of lung region from 3D thoracic CT images with diffuse pulmonary diseases by use of graph cut and statistical atlas Ryosuke Urayama, Rui Xu, Yasushi Hirano, Shoji Kido (Yamaguchi Univ) MI2012-88 |
In order to analyze diffuse lung diseases by use of CAD (Computer-aided Diagnosis) systems, it is necessary to extract p... [more] | MI2012-88 pp.135-138 |
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