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| Chair |
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Yoshiki Kawata (Tokushima Univ.) |
| Vice Chair |
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Takayuki Kitasaka (Aichi Inst. of Tech.), Hidekata Hontani (Nagoya Inst. of Tech.) |
| Secretary |
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Yasushi Hirano (Yamaguchi Univ.), Ryo Haraguchi (Univ. of Hyogo) |
| Assistant |
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Hotaka Takizawa (Tsukuba Univ.), Yoshito Otake (NAIST) |
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| Conference Date |
Mon, Mar 15, 2021 11:00 - 17:15
Tue, Mar 16, 2021 09:00 - 17:30
Wed, Mar 17, 2021 09:45 - 14:30 |
| Topics |
Medical Imaging |
| Conference Place |
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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) |
| Registration Fee |
This workshop will be held as the IEICE workshop in fully electronic publishing. Registration fee will be necessary except the speakers and participants other than the participants to workshop(s) in non-electronic publishing. See the registration fee page. We request the registration fee or presentation fee to participants who will attend the workshop(s) on MI. |
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10:50-10:55 |
Opening Address ( 5 min. ) |
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10:45-11:00 |
( 15 min. ) |
Mon, Mar 15 AM
11:00 - 12:00 |
| (1) |
11:00-11:15 |
Improvement of a skeletal recognition algorithm of bone scintigrams  MI2020-47 |
Yuri Hoshino, Atsushi Saito (TUAT), Atsushi Yoshida, Shigeaki Higashiyama, Joji Kwabe (Osaka City Univ), Hiromitsu Daisaki (GCHS), Kazuhiro Nishikawa (NMP), Akinobu Shimizu (TUAT) |
| (2) |
11:15-11:30 |
Improvement of extravasation detection ability using bone extraction method by adaptive threshold determination in contrast-enhanced CT images MI2020-48 |
Hiroki Kimura, Kumiko Arai, Nozomi Takahashi (Chiba Univ), Yuichiro Yoshimura (Toyama Univ), Takaaki Nakada, Toshiya Nakaguchi (Chiba Univ) |
| (3) |
11:30-11:45 |
MI2020-49 |
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| (4) |
11:45-12:00 |
MI2020-50 |
|
| |
12:00-13:00 |
Break ( 60 min. ) |
| |
12:45-13:00 |
( 15 min. ) |
Mon, Mar 15 PM
13:00 - 14:15 |
| (5) |
13:00-13:15 |
MI2020-51 |
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| (6) |
13:15-13:30 |
[Short Paper]
Automatic Classification for Product Names and Treatment Stages of Dental Implants in Dental Panoramic Radiographs Using Deep Learning MI2020-52 |
Kazumasa Yoshii (Gifu Univ.), Shintaro Sukegawa (Kagawa Prefectural Central Hosp.), Takeshi Hara (Gifu Univ.), Katsusuke Yamashita (Towa Manufacturing), Keisuke Nakano, Hitoshi Nagatsuka (Okayama Univ. Grad. Sch.), Yoshihiko Huruki (Kagawa Prefectural Central Hosp.) |
| (7) |
13:30-13:45 |
Automatic estimation of the extent of osteomyelitis of the jaw by anomaly detection MI2020-53 |
Hideaki Hoshino, Kento Morita (Mie Univ.), Daisuke Takeda, Takumi Hasegawa (Kobe Univ.), Tetsushi Wakabayashi (Mie Univ.) |
| (8) |
13:45-14:00 |
Surgical planning model generation by extracting important feature sets in mandibular reconstruction MI2020-54 |
Kazuki Nagai, Megumi Nakao (Kyoto Univ.), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Toshihide Hatanaka, Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) |
| (9) |
14:00-14:15 |
Analysis of important features in surgical planning for mandibular reconstruction among multiple surgeons MI2020-55 |
Yusuke Hatakeyama, Kazuki Nagai, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) |
| |
14:15-14:30 |
( 15 min. ) |
Mon, Mar 15 PM
14:30 - 16:00 |
| (1) |
14:30-14:45 |
Comparison of Deep Learning Reconstruction for MR Compressed Sensing MI2020-56 |
Shinya Abe, Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.) |
| (2) |
14:45-15:00 |
Real valued CNN based MR image reconstruction Robust to spatial phase variation MI2020-57 |
Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.) |
| (3) |
15:00-15:15 |
A study on combination of parallel imaging and compressed sensing for improving the acceleration rate of MRI using Bloch simulator MI2020-58 |
Akihide Kanetaka, Yuta Endo, Haruna Shibou, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.) |
| (4) |
15:15-15:30 |
Deep State-Space Modeling of FMRI Images with Disentangle Attributes MI2020-59 |
Koki Kusano (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.) |
| (5) |
15:30-15:45 |
Evaluation of Bayesian Active Learning for Segmentation of Liver and Spleen in Large Scale Abdominal MR Data Sets MI2020-60 |
Bin Zhang, Yoshito Otake, Mazen Soufi (NAIST), Masatoshi Hori (Kobe University), Noriyuki Tomiyama (Osaka University), Yoshinobu Sato (NAIST) |
| (6) |
15:45-16:00 |
Feasibility study of automatic extraction method of coronary artery stationary period using CNN
-- Comparison between 1.5T and 3.0T -- MI2020-61 |
Remina Kasai, Yuta Endo, Haruna Shibou, Makoto Amanuma, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.) |
Mon, Mar 15 PM
16:15 - 17:15 |
| (7) |
16:15-17:15 |
MI2020-62 |
|
| |
08:45-09:00 |
( 15 min. ) |
Tue, Mar 16 AM
09:00 - 10:30 |
| (8) |
09:00-09:15 |
Lung segmentation of thoracic CT volumes by combining slice-wise with pixel-wise classification MI2020-63 |
Takahito Haruishi, Atsushi Saito (TUAT), Masahiro Hashimoto (Keio University), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo University), Akinobu Shimizu (TUAT) |
| (9) |
09:15-09:30 |
Tuberculosis in Chest CT Image Analysis based on multi-axis projections using Deep learning MI2020-64 |
Tetsuya Asakawa, Masaki Aono (Toyohashi Univ) |
| (10) |
09:30-09:45 |
Statistical modeling of pulmonary vasculatures in CT volumes using a deep generative model MI2020-65 |
Yuki Saeki, Atshushi Saito (TUAT), Jean Cousty, Yukiko Kenmochi (LIGM/ UGE/ CNRS/ ESIEE Paris), Akinobu Shimizu (TUAT) |
| (11) |
09:45-10:00 |
MI2020-66 |
|
| (12) |
10:00-10:15 |
[Short Paper]
Detectability of micronodules in pneumoconiosis using 3D CT images MI2020-67 |
Nana Mori, Yuga Hashimoto, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Katsuya Kato (Kawasaki Medical School), Yoshinori Ohtsuka (Hokkaido chuo rosai hospital), Takumi Kishimoto (Okayama Rosai Hospital), Kazuto Ashizawa (Nagasaki Univ.) |
| (13) |
10:15-10:30 |
[Short Paper]
Association analysis of SNPs with emphysema progression on long-term follow-up CT images MI2020-68 |
Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Issei Imoto (Aichi Cancer Center Research Institute), Masahiko Kusumoto (NCCH), Yasutaka Nakano (Shiga Univ. of Medical Science), Masahiro Kaneko (Tokyo Health Service Association) |
Tue, Mar 16 AM
10:45 - 11:45 |
| (14) |
10:45-11:45 |
MI2020-69 |
|
| |
11:45-13:00 |
Break ( 75 min. ) |
| |
12:45-13:00 |
( 15 min. ) |
Tue, Mar 16 PM
13:00 - 14:15 |
| (15) |
13:00-13:15 |
MI2020-70 |
|
| (16) |
13:15-13:30 |
[Short Paper]
Feature extraction using AutoEncorder from nodular shadows on chest CT images MI2020-71 |
Yuta Tanaka, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Masaki Matsusako, Taiki Nozaki (St. Luke's Hosp.) |
| (17) |
13:30-13:45 |
Effect of Improving Versatility of Lung Nodules Classification Model by Fine-Tuning MI2020-72 |
Taku Ri, Tatsuya Yamazaki (Niigata Univ.) |
| (18) |
13:45-14:00 |
Deep Learning prediction of lung transplant rejection from FDG-PET and visualization of the basis for the decision MI2020-73 |
Keisuke Hori (Chiba Univ.), Yuma Iwao, Miwako Takahashi (QST), Haruhiko Shiiya (UTokyo/Hokkaido Univ.), Masaaki Sato (UTokyo), Taiga Yamaya (QST) |
| (19) |
14:00-14:15 |
Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation MI2020-74 |
Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F. Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) |
| |
14:15-14:30 |
( 15 min. ) |
Tue, Mar 16 PM
14:30 - 15:45 |
| (20) |
14:30-14:45 |
Respiratory rate estimation based on respiratory region selection method using thermography MI2020-75 |
Yudai Takahashi, Gu Yi, Ryuzo Abe, Taka-aki Nakada, Toshiya Nakaguchi (Chiba Univ.) |
| (21) |
14:45-15:00 |
Respiratory rate estimation based on inter-frame change classification of camera images by deep learning MI2020-76 |
Gu Yi, Yudai Takahashi, Ryuzo Abe, Taka-aki Nakada, Toshiya Nakaguchi (Chiba Univ.) |
| (22) |
15:00-15:15 |
Automatic Classification of Respiratory Sounds using HPSS MI2020-77 |
Yuki Marubashi, Tohru Kamiya (KIT), Shingo Mabu (YU), Shoji Kido (OU) |
| (23) |
15:15-15:30 |
[Short Paper]
Three-dimensional analysis of alveolar construction using synchrotron radiation CT with a large-field microscope MI2020-78 |
Kurumi Saito, Keisuke Fukuda, Yoshiki Kawata, Noboru Niki (Tokushima Univ), Keiji Umetani (JASRI), Yasutaka Nakano (Shiga Univ. of Med. Sci.), Hiroaki Sakai (AGMC), Toshihiro Okamoto (Cleveland Clinic) |
| (24) |
15:30-15:45 |
MI2020-79 |
|
| |
15:45-16:00 |
( 15 min. ) |
Tue, Mar 16 PM
16:00 - 17:30 |
| (25) |
16:00-16:15 |
MI2020-80 |
|
| (26) |
16:15-16:30 |
Pre-operative Head CT and Pathological Image Registration using Normalized Cross-Correlation and Dice coefficient MI2020-81 |
Yukinobu Matsuoka, Kento Morita (Mie Univ.), Daisuke Takeda, Takumi Hasegawa (Kobe Univ. Hospital), Tetsushi Wakabayashi (Mie Univ.) |
| (27) |
16:30-16:45 |
[Short Paper]
MI2020-82 |
Yuto Kanazawa, Takashi Nagaoka, Yuichi Kimura, Mitsutaka Nemoto (Kindai Univ) |
| (28) |
16:45-17:00 |
[Short Paper]
Construction of Microcirculation Image Analysis System and Investigation into Effect of Thrombomodulin Alfa for Septic Model Rats MI2020-83 |
Mami Kawasaki (Chiba Univ.), Kazuya Nakano (Miyazaki Univ.), Takashi Ohnishi, Masashi Sekine, Eizo Watanabe, Shigeto Oda, Taka-aki Nakada, Hideaki Haneishi (Chiba Univ.) |
| (29) |
17:00-17:15 |
Development of body temperature monitoring system using Thermosensor and Depth camera MI2020-84 |
Wataru Nakada, Yoshihiko Hayakawa, Kenji Iwadate, Pathitta Suteecharuwat (Kitami Inst. of Tech.) |
| (30) |
17:15-17:30 |
Detectability study for detecting micro-calcifications in Breast using Flow Sensitive Black Blood (FSBB) MI2020-85 |
Airi Shimizu (Shin-Yuri Hospital), Kuninori Kobayashi, Shigehide Kuhara, Kazunori Kuroki (Kyorin Univ.) |
| |
09:30-09:45 |
( 15 min. ) |
Wed, Mar 17 AM
09:45 - 11:15 |
| (31) |
09:45-10:00 |
Improvement of deep learning based dementia classification using brain SPECT volumes MI2020-86 |
Mitsuru Yambe, Atsushi Saito (TUAT), Makoto Fukasawa, Tomomichi Iizuka (Fukujuji Hospital), Akinobu Shimizu (TUAT) |
| (32) |
10:00-10:15 |
Delirium and its indication detection by multiscale CSIs MI2020-87 |
Yuya Tanaka, Yuya Hadano, Yasushi Kanazawa (Toyohashi Univ. of Tech.), Hiroto Sano, Wataru Matsuzawa (NIHON KOHDEN), Hideo Oka (Yamaguchi Pref. Grand Medical Center) |
| (33) |
10:15-10:30 |
Automatic Segmentation of bleeding from Laparoscopic Video using Cascade CNN MI2020-88 |
Shota Yamamoto, Yuichiro Hayashi, Shintaro Morimitsu (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute Tech.), Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) |
| (34) |
10:30-10:45 |
Study on automated anatomical labeling of abdominal arteries using Spectral-based Convolutional Graph Neural Networks MI2020-89 |
Yuta Hibi, Yuichiro Hayashi (Nagoya Univ), Takayuki Kitasaka (Aichi Institute of Tech), Hayato Itoh, Masahiro Oda (Nagoya Univ), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya University/NII) |
| (35) |
10:45-11:00 |
[Short Paper]
Preliminary study for improving the performance of abdominal multi-phase CT image registration based on 3D deep CNN with a CycleGAN MI2020-90 |
Ryotaro Fuwa, Xiangong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) |
| (36) |
11:00-11:15 |
Optimal Design and Quality Assessment of Color Laparoscopic Super-Resolution Image by Generative Adversarial Networks MI2020-91 |
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) |
| |
11:15-11:30 |
( 15 min. ) |
Wed, Mar 17 AM
11:30 - 12:00 |
| (37) |
11:30-12:00 |
Report on MICCAI 2020 MI2020-92 |
Atsushi Saito (TUAT), Masahiro Oda (Nagoya Univ.), Yoshito Otake (NAIST), Shouhei Hanaoka (Tokyo Univ.), Ken'ichi Morooka (Okayama Univ.), Shoko Miyauchi (Kyushu Univ.), Yoshitaka Masutani (Hiroshima City Univ.), Chen Shen, Kensaku Mori (Nagoya Univ.) |
| |
12:00-13:00 |
Break ( 60 min. ) |
| |
12:45-13:00 |
( 15 min. ) |
Wed, Mar 17 PM
13:00 - 14:30 |
| (38) |
13:00-13:15 |
Development of marker-less motion correction method for brain dedicated PET system MI2020-93 |
Yuma Iwao, Go Akamatsu, Hideaki Tashima (QST-NIRS), Taichi Yamashita (ATOX), Taiga Yamaya (QST-NIRS) |
| (39) |
13:15-13:30 |
Applications of hybrid reconstruction combining PET and Compton imaging MI2020-94 |
Hideaki Tashima, Eiji Yoshida (NIRS-QST), Takumi Nishina (Chiba Univ.), Sodai Takyu, Fumihiko Nishikido (NIRS-QST), Mikio Suga (Chiba Univ.), Hidekatsu Wakizaka, Miwako Takahashi, Kotaro Nagatsu, Atsushi Tsuji (NIRS-QST), Kei Kamada, Akira Yoshikawa (C&A/Tohoku Univ.), Katia Parodi (LMU), Taiga Yamaya (NIRS-QST) |
| (40) |
13:30-13:45 |
Noise reduction method for sparse-view computed tomography using spatial frequency components MI2020-95 |
Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) |
| (41) |
13:45-14:00 |
Medical Image Style Translation by Adversarial Training with Paired Inputs MI2020-96 |
Kazuki Fujioka (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.) |
| (42) |
14:00-14:15 |
Using CycleGAN for Metal-induced Streak Artifact Reduction in X-ray CT image |
Kazuhiro Nagase, Yoshihiko Hayakawa, Pathitta Suteecharuwat (KIT) |
| (43) |
14:15-14:30 |
Super-resolution of thoracic CT volumes using high-frequency learning MI2020-97 |
Ryosuke Kawai, Atsushi Saito (TUAT), Shoji Kido (Osaka Univ), Kunihiro Inai, Hirohiko Kimura (Fukui Univ), Akinobu Shimizu (TUAT) |
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14:30-14:35 |
Closing remarks ( 5 min. ) |
| Announcement for Speakers |
| General Talk | Each speech will have 12 minutes for presentation and 3 minutes for discussion. |
| Special Talk | Each speech will have 55 minutes for presentation and 5 minutes for discussion. |
| Contact Address and Latest Schedule Information |
| MI |
Technical Committee on Medical Imaging (MI) [Latest Schedule]
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| Contact Address |
Technical Committee on Medical Imaging ML:  - bt  
Yoshito OTAKE (NAIST)
E-: o  is  ist
TEL: 0743-72-5235 |
Last modified: 2021-03-13 22:43:04
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