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Technical Committee on Medical Imaging (MI) (Searched in: 2020)
Search Results: Keywords 'from:2020-09-03 to:2020-09-03'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2020-09-03 09:30 |
Online | Online | Segmentation of Layer Structure of Stomach Wall and Tumor from MicroCT volumes Using Neural Network and Spherical K-means Midori Mitarai, Hirohisa Oda, Takaaki Sugino, Takayasu Moriya, Hayato Itoh, Masahiro Oda, Takuma Komiyama, Kazuhiro Furukawa, Ryoji Miyahara, Mitsuhiro Fujishiro (Nagoya Univ.), Masaki Mori (Sapporo-Kosei General Hospital), Hirotsugu Takabatake (Sapporo Minami-sanjo Hospital), Hiroshi Natori (Keiwakai Nishioka Hospital), Kensaku Mori (Nagoya Univ.)  MI2020-17 |
This paper reports a segmentation method of the layered structure of the stomach wall and tumor from μCT volumes using f... [more] | MI2020-17 pp.1-6 |
| MI | 2020-09-03 09:45 |
Online | Online | Extraction of three-dimensional bone structure from CT images of diseased hip using Bayesian U-net Hiroki Makino, Yoshito Otake, Keisuke Uemura (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2020-18 |
[more] | MI2020-18 pp.7-11 |
| MI | 2020-09-03 10:00 |
Online | Online | Lung region segmentation of thoracoscopic image with unsupervised image translation Jumpei Nitta, Megumi Nakao (Kyoto Univ.), Keiho Imanishi (e-Growth Co. Ltd.), Tetsuya Matsuda (Kyoto Univ.) MI2020-19 |
In endoscopic surgery, it is necessary to understand the three-dimensional structure of the target region to improve saf... [more] | MI2020-19 pp.13-18 |
| MI | 2020-09-03 10:15 |
Online | Online | [Short Paper]
Touch-Based Interactive Segmentation, Quantification and Visualization of COVID-19 Jiaqing Liu (Ritsumei), Tomoko Tateyama (Shiga University), Iwamoto Yutaro, Yan-wei Chen (Ritsumei) MI2020-20 |
[more] | MI2020-20 pp.19-21 |
| MI | 2020-09-03 10:30 |
Online | Online | [Short Paper]
[Short Paper]Renal tumor analysis using multi-temporal abdominal CT images Shota Nakano, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Atsushi ikeda (Tukuba Univ.) MI2020-21 |
(To be available after the conference date) [more] | MI2020-21 pp.23-24 |
| MI | 2020-09-03 10:45 |
Online | Online | [Short Paper]
Prediction of microvascular invasion in hepatocellular carcinoma based on radiomics method using MRI Weibin Wang (Ritsumeikan Univ.), Qingqing Chen (Zhejiang Unvi.), Fang Wang (Zhejiang Unvi), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Hongjie Hu, Lanfen Lin (Zhejiang Unvi), Yen-Wei Chen (Ritsumeikan Univ.) MI2020-22 |
[more] | MI2020-22 pp.25-26 |
| MI | 2020-09-03 11:00 |
Online | Online | [Short Paper]
Quantitative analysis of epicardial adipose tissue by two-stage segmentation network and its system development Takayuiki Nagata, Yutaro Iwamoto, Zhao Ziyu (Ritsumeikan Univ), Yuji Tezuka, Hiroki Okada, Kiyosumi Maeda, Atsuyuki Wada, Atsunori Kashiwagi (Kusatsu General Hospital), Yen-Wei Chen (Ritsumeikan Univ) MI2020-23 |
Diabetes is thought to lead to vascular disease and arteriosclerosis, and there is a need for early detection and treatm... [more] | MI2020-23 pp.27-30 |
| MI | 2020-09-03 11:15 |
Online | Online | Preliminary Investigation on Automatic Segmentation of Lower Leg Muscles in CT Images using Bayesian U-Net: Towards Lower Extremity Biomechanical Analysis
-- Bayesian U-Net Based Muscle Segmentation -- Albrecht Yordanus Erwin Dodu, Mazen Soufi, Yoshito Otake (NAIST), Takuma Miyamoto, Yasuhito Tanaka (Nara Med. Univ.), Keisuke Uemura (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2020-24 |
[more] | MI2020-24 pp.31-33 |
| MI | 2020-09-03 11:30 |
Online | Online | [Short Paper]
Automatic Segmentation of Liver Tumor in Multi- phase CT Images by Attention Mask R-CNN Ryo Hasegawa, Yutaro Iwamoto (Rits Univ.), Lanfen Lin, Hongjie Hu (Zhejiang University), Yen-Wei Chen (Rits Univ.) MI2020-25 |
Tumor detection and segmentation are essential pretreatment steps in computer-aided diagnosis of liver tumors. In this s... [more] | MI2020-25 pp.35-38 |
| MI | 2020-09-03 11:45 |
Online | Online | [Short Paper]
Coarse-to-Fine Cephalometric Landmark Detection Using a Deep Learning Method Yu Song (Ritsumeikan Univ.), Xu Qiao (SDU.), Yutaro Iwamoto, Yen-wei Chen (Ritsumeikan Univ.) MI2020-26 |
[more] | MI2020-26 pp.39-41 |
| MI | 2020-09-03 13:10 |
Online | Online | [Invited Talk]
Manifold modeling in embedded space for image restoration Tatsuya Yokota (Nitech) MI2020-27 |
In this invited talk, I will discuss convolutional neural networks, which have achieved remarkable results in various im... [more] | MI2020-27 pp.43-44 |
| MI | 2020-09-03 14:10 |
Online | Online | Reconstruction of 3D Organ Shape from a Single X-ray Image using Graph Convolutional Network Fei Tong, Megumi Nakao (Kyoto Univ.), Shuqiong Wu (Osaka Univ.), Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2020-28 |
[more] | MI2020-28 pp.45-50 |
| MI | 2020-09-03 14:25 |
Online | Online | Proposal of 3D Generative Adversarial Network for Improving Image Ouality of Cone-Beam CT Images Takumi Hase, Megumi Nakao (Kyoto Univ.), Keoho Imanishi (e-Growth Co., Ltd), Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2020-29 |
Artifacts and defects included in Cone-beam CT (CBCT) images have become an obstacle in radiation therapy and surgery su... [more] | MI2020-29 pp.51-56 |
| MI | 2020-09-03 14:40 |
Online | Online | Analysis of pneumothorax deformation for in vivo animal lungs using model-based registration Kotaro Kobayashi, Megumi Nakao, Junko Tokuno (Kyoto Univ.), Toyofumi F Chen-Yoshikawa (Nagoya Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2020-30 |
(To be available after the conference date) [more] | MI2020-30 pp.57-62 |
| MI | 2020-09-03 14:55 |
Online | Online | Performance Improvement of Alzheimer's Disease Classification Using Convolutional Neural Network Daiki Endo, Koichi Ito, Takafumi Aoki (Tohoku Univ.) MI2020-31 |
Alzheimer's disease (AD) is a progressive brain disease that causes a different pattern of brain atrophy from normal agi... [more] | MI2020-31 pp.63-67 |
| MI | 2020-09-03 15:10 |
Online | Online | Medical Image Processing on Nagoya University Super Computer System "Flow" Satoshi Ohshima, Masahiro Oda, Takahiro Katagiri, Kensaku Mori (Nagoya Univ.) MI2020-32 |
New supercomputer named "Flow" began service at July 1st, 2020 at Information Technology Center of Nagoya University. "F... [more] | MI2020-32 pp.69-74 |
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