Online edition: ISSN 2432-6380
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MI2020-47
Improvement of a skeletal recognition algorithm of bone scintigrams
Yuri Hoshino, Atsushi Saito (TUAT), Atsushi Yoshida, Shigeaki Higashiyama, Joji Kwabe (Osaka City Univ), Hiromitsu Daisaki (GCHS), Kazuhiro Nishikawa (NMP), Akinobu Shimizu (TUAT)
pp. 1 - 2
MI2020-48
Improvement of extravasation detection ability using bone extraction method by adaptive threshold determination in contrast-enhanced CT images
Hiroki Kimura, Kumiko Arai, Nozomi Takahashi (Chiba Univ), Yuichiro Yoshimura (Toyama Univ), Takaaki Nakada, Toshiya Nakaguchi (Chiba Univ)
pp. 3 - 8
MI2020-49
(See Japanese page.)
pp. 9 - 14
MI2020-50
(See Japanese page.)
pp. 15 - 20
MI2020-51
(See Japanese page.)
pp. 21 - 22
MI2020-52
[Short Paper]
Automatic Classification for Product Names and Treatment Stages of Dental Implants in Dental Panoramic Radiographs Using Deep Learning
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.)
pp. 23 - 24
MI2020-53
Automatic estimation of the extent of osteomyelitis of the jaw by anomaly detection
Hideaki Hoshino, Kento Morita (Mie Univ.), Daisuke Takeda, Takumi Hasegawa (Kobe Univ.), Tetsushi Wakabayashi (Mie Univ.)
pp. 25 - 28
MI2020-54
Surgical planning model generation by extracting important feature sets in mandibular reconstruction
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.)
pp. 29 - 34
MI2020-55
Analysis of important features in surgical planning for mandibular reconstruction among multiple surgeons
Yusuke Hatakeyama, Kazuki Nagai, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.)
pp. 35 - 40
MI2020-56
Comparison of Deep Learning Reconstruction for MR Compressed Sensing
Shinya Abe, Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.)
pp. 41 - 45
MI2020-57
Real valued CNN based MR image reconstruction Robust to spatial phase variation
Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.)
pp. 46 - 50
MI2020-58
A study on combination of parallel imaging and compressed sensing for improving the acceleration rate of MRI using Bloch simulator
Akihide Kanetaka, Yuta Endo, Haruna Shibou, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.)
pp. 51 - 55
MI2020-59
Deep State-Space Modeling of FMRI Images with Disentangle Attributes
Koki Kusano (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.)
pp. 56 - 61
MI2020-60
Evaluation of Bayesian Active Learning for Segmentation of Liver and Spleen in Large Scale Abdominal MR Data Sets
Bin Zhang, Yoshito Otake, Mazen Soufi (NAIST), Masatoshi Hori (Kobe University), Noriyuki Tomiyama (Osaka University), Yoshinobu Sato (NAIST)
pp. 62 - 65
MI2020-61
Feasibility study of automatic extraction method of coronary artery stationary period using CNN
-- Comparison between 1.5T and 3.0T --
Remina Kasai, Yuta Endo, Haruna Shibou, Makoto Amanuma, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.)
pp. 66 - 70
MI2020-62
(See Japanese page.)
p. 71
MI2020-63
Lung segmentation of thoracic CT volumes by combining slice-wise with pixel-wise classification
Takahito Haruishi, Atsushi Saito (TUAT), Masahiro Hashimoto (Keio University), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo University), Akinobu Shimizu (TUAT)
pp. 72 - 73
MI2020-64
Tuberculosis in Chest CT Image Analysis based on multi-axis projections using Deep learning
Tetsuya Asakawa, Masaki Aono (Toyohashi Univ)
pp. 74 - 79
MI2020-65
Statistical modeling of pulmonary vasculatures in CT volumes using a deep generative model
Yuki Saeki, Atshushi Saito (TUAT), Jean Cousty, Yukiko Kenmochi (LIGM/ UGE/ CNRS/ ESIEE Paris), Akinobu Shimizu (TUAT)
pp. 80 - 81
MI2020-66
(See Japanese page.)
pp. 82 - 86
MI2020-67
[Short Paper]
Detectability of micronodules in pneumoconiosis using 3D CT images
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.)
pp. 87 - 89
MI2020-68
[Short Paper]
Association analysis of SNPs with emphysema progression on long-term follow-up CT images
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)
pp. 90 - 91
MI2020-69
(See Japanese page.)
pp. 92 - 93
MI2020-70
(See Japanese page.)
pp. 94 - 98
MI2020-71
[Short Paper]
Feature extraction using AutoEncorder from nodular shadows on chest CT images
Yuta Tanaka, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Masaki Matsusako, Taiki Nozaki (St. Luke's Hosp.)
pp. 99 - 101
MI2020-72
Effect of Improving Versatility of Lung Nodules Classification Model by Fine-Tuning
Taku Ri, Tatsuya Yamazaki (Niigata Univ.)
pp. 102 - 107
MI2020-73
Deep Learning prediction of lung transplant rejection from FDG-PET and visualization of the basis for the decision
Keisuke Hori (Chiba Univ.), Yuma Iwao, Miwako Takahashi (QST), Haruhiko Shiiya (UTokyo/Hokkaido Univ.), Masaaki Sato (UTokyo), Taiga Yamaya (QST)
pp. 108 - 111
MI2020-74
Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation
Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F. Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.)
pp. 112 - 117
MI2020-75
Respiratory rate estimation based on respiratory region selection method using thermography
Yudai Takahashi, Gu Yi, Ryuzo Abe, Taka-aki Nakada, Toshiya Nakaguchi (Chiba Univ.)
pp. 118 - 123
MI2020-76
Respiratory rate estimation based on inter-frame change classification of camera images by deep learning
Gu Yi, Yudai Takahashi, Ryuzo Abe, Taka-aki Nakada, Toshiya Nakaguchi (Chiba Univ.)
pp. 124 - 127
MI2020-77
Automatic Classification of Respiratory Sounds using HPSS
Yuki Marubashi, Tohru Kamiya (KIT), Shingo Mabu (YU), Shoji Kido (OU)
pp. 128 - 133
MI2020-78
[Short Paper]
Three-dimensional analysis of alveolar construction using synchrotron radiation CT with a large-field microscope
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)
pp. 134 - 135
MI2020-79
(See Japanese page.)
pp. 136 - 137
MI2020-80
(See Japanese page.)
pp. 138 - 143
MI2020-81
Pre-operative Head CT and Pathological Image Registration using Normalized Cross-Correlation and Dice coefficient
Yukinobu Matsuoka, Kento Morita (Mie Univ.), Daisuke Takeda, Takumi Hasegawa (Kobe Univ. Hospital), Tetsushi Wakabayashi (Mie Univ.)
pp. 144 - 149
MI2020-82
[Short Paper]
Yuto Kanazawa, Takashi Nagaoka, Yuichi Kimura, Mitsutaka Nemoto (Kindai Univ)
pp. 150 - 151
MI2020-83
[Short Paper]
Construction of Microcirculation Image Analysis System and Investigation into Effect of Thrombomodulin Alfa for Septic Model Rats
Mami Kawasaki (Chiba Univ.), Kazuya Nakano (Miyazaki Univ.), Takashi Ohnishi, Masashi Sekine, Eizo Watanabe, Shigeto Oda, Taka-aki Nakada, Hideaki Haneishi (Chiba Univ.)
pp. 152 - 153
MI2020-84
Development of body temperature monitoring system using Thermosensor and Depth camera
Wataru Nakada, Yoshihiko Hayakawa, Kenji Iwadate, Pathitta Suteecharuwat (Kitami Inst. of Tech.)
pp. 154 - 157
MI2020-85
Detectability study for detecting micro-calcifications in Breast using Flow Sensitive Black Blood (FSBB)
Airi Shimizu (Shin-Yuri Hospital), Kuninori Kobayashi, Shigehide Kuhara, Kazunori Kuroki (Kyorin Univ.)
pp. 158 - 163
MI2020-86
Improvement of deep learning based dementia classification using brain SPECT volumes
Mitsuru Yambe, Atsushi Saito (TUAT), Makoto Fukasawa, Tomomichi Iizuka (Fukujuji Hospital), Akinobu Shimizu (TUAT)
pp. 164 - 165
MI2020-87
Delirium and its indication detection by multiscale CSIs
Yuya Tanaka, Yuya Hadano, Yasushi Kanazawa (Toyohashi Univ. of Tech.), Hiroto Sano, Wataru Matsuzawa (NIHON KOHDEN), Hideo Oka (Yamaguchi Pref. Grand Medical Center)
pp. 166 - 171
MI2020-88
Automatic Segmentation of bleeding from Laparoscopic Video using Cascade CNN
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.)
pp. 172 - 175
MI2020-89
Study on automated anatomical labeling of abdominal arteries using Spectral-based Convolutional Graph Neural Networks
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)
pp. 176 - 181
MI2020-90
[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.)
pp. 182 - 185
MI2020-91
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.)
pp. 186 - 190
MI2020-92
Report on MICCAI 2020
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.)
pp. 191 - 197
MI2020-93
Development of marker-less motion correction method for brain dedicated PET system
Yuma Iwao, Go Akamatsu, Hideaki Tashima (QST-NIRS), Taichi Yamashita (ATOX), Taiga Yamaya (QST-NIRS)
pp. 198 - 202
MI2020-94
Applications of hybrid reconstruction combining PET and Compton imaging
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)
pp. 203 - 206
MI2020-95
Noise reduction method for sparse-view computed tomography using spatial frequency components
Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.)
pp. 207 - 211
MI2020-96
Medical Image Style Translation by Adversarial Training with Paired Inputs
Kazuki Fujioka (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.)
pp. 212 - 217
MI2020-97
Super-resolution of thoracic CT volumes using high-frequency learning
Ryosuke Kawai, Atsushi Saito (TUAT), Shoji Kido (Osaka Univ), Kunihiro Inai, Hirohiko Kimura (Fukui Univ), Akinobu Shimizu (TUAT)
pp. 218 - 219
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.