Online edition: ISSN 2432-6380
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MI2022-72
Accuracy improvement of emsemble learning based dementia classification for brain SPECT volumes
Naoki Matsumoto (TUAT), Makoto Fukasawa, Tomomichi Iizuka (Fukujuji Hosp.), Akinobu Shimizu (TUAT)
pp. 1 - 2
MI2022-73
[Short Paper]
FUSE-2, Aided Diagnosis Method for Dementia using Cross-Modality Translation with Alignment by Deep Learning
Kodai Yamashita, Souta Okabe, Hiroyuki Kudo (Univ. of Tsukuba)
pp. 3 - 4
MI2022-74
Recognition of tooth types and conditions in dental panoramic radiographs with object detection and prior knowledge
Koki Sakai (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Yuta Seino (Gifu Univ.), Ryo Takahashi, Tatsuro Hayashi (Media Co., Ltd), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.)
pp. 5 - 7
MI2022-75
Machine learning models using CT images and clinical variable to classify tumors in testicular cancer
Shota Nakagawa, Masanobu Gido (University of Tsukuba), Satoshi Nitta (University of Tsukuba Hospital), Takahiro Kojima (Aichi Cancer Center Hospital), Hideki Kakeya (University of Tsukuba)
pp. 8 - 13
MI2022-76
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)
pp. 14 - 19
MI2022-77
Radiogenomic signature based on CT images to predict HOPX gene expression and prognoses of patients with non-small cell lung cancer
-- Prognoses and prediction of HOPX expression for NSCLC based on CT image --
Yu Jin, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Shinichi Mizuno (Kyushu Univ.), Satoshi Ansai (Kyoto Univ.)
pp. 20 - 23
MI2022-78
Computer-aided diagnosis of chest CT images for COVID-19 with lesion enhancement
Yusuke Takateyama (TUAT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT)
pp. 24 - 25
MI2022-79
Report on MICCAI 2022
Hayato Itoh, Masahiro Oda, Chen Shen, Cheng Wang (Nagoya Univ.), Kanta Miura (Tohoku Univ.), Junya Sato (Osaka Univ.), Yoshito Otake (NAIST), Ryoma Bise (Kyushu Univ.), Ryo Furukawa (Kindai Univ.), Hidekata Hontani (NITech), Yoshitaka Masutani (Tohoku Univ.), Kensaku Mori (Nagoya Univ.)
pp. 26 - 37
MI2022-80
[Short Paper]
Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba)
pp. 38 - 39
MI2022-81
Segmentation of Infected Regions from Chest CT Scans of COVID-19 Cases using Average Template
Kai Liu, Masahiro Oda, Tong Zheng, Yuichiro Hayashi (Nagoya Univ.), Yoshito Otake (NAIST), Masahiro Hashimoto (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ.)
pp. 40 - 45
MI2022-82
Comparative study of the Small Intestine segmentation based on 2D and 3D U-Nets
Qin An (Nagoya Univ.), Hirohisa Oda (UoS), SiRui Chen, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute Univ), Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida (Nagoya Univ.), Kojiro Suzuki (Aichi Medical Univ.), Masahiro Oda, Kensaku Mori (Nagoya Univ.)
pp. 46 - 51
MI2022-83
Prediction of missing tooth shape from dental 3D scan data for automated dental treatment planning
Ryota Nakatani (NAIST), Yuto Masaki (NAIST/PSP), Yoshito Otake (NAIST), Tomoko Ikawa, Yuko Shigeta, Takuya Kihara, Shuji Shigemoto, Takumi Ogawa (Tsurumi Univ.), Mazen Soufi, Yoshinobu Sato (NAIST)
pp. 52 - 56
MI2022-84
Application of statistical shape modeling of whole lower limbs in the prediction of musculoskeletal shapes
Yuto Masaki, Yoshito Otake, Mazen Soufi, Yi Gu (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ.), Takuma Miyamoto, Yasuhito Tanaka (Nara Medical Univ), Seiji Okada, Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST)
pp. 57 - 62
MI2022-85
A study on estimation of blood vessel regions from laparoscopic videos using preoperative image information
Keigo Enomoto, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ./NII)
pp. 63 - 68
MI2022-86
Automated Musculoskeletal Foot Segmentation in CT Images for Patient-Specific Functional Foot Analysis
Mazen Soufi, Yoshito Otake, Naoki Ito (NAIST), Yuto Masaki (NAIST/PSP), Tomoki Hakotani (NAIST), Takuma Miyamoto, Yasuhito Tanaka (Nara Med. Univ.), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama, Masahiro Jinzaki (Keio Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST)
pp. 69 - 74
MI2022-87
(See Japanese page.)
pp. 75 - 77
MI2022-88
(See Japanese page.)
pp. 78 - 79
MI2022-89
(See Japanese page.)
pp. 80 - 81
MI2022-90
Reproducing method of cancer annotation by local features in pathological images
Shunya Mutsuda (KIT), Sohsuke Yamada (Kanazawa Medical Univ.), Toshiki Kindo (KIT)
pp. 82 - 87
MI2022-91
Predicting disease from Chest-X-ray and Heart-CT images using Fine Tuning
Yuya Kumagai, Hiroki Shinoda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT)
pp. 88 - 93
MI2022-92
Segmentation of renal cancers from multi-phase CT images by deep learning using selective fusion
Masanobu Gido (Tsukuba Univ.), Ryo Tanimoto, Kensaku Mori, Hideki Kakeya (Tsukuba Univ.)
pp. 94 - 99
MI2022-93
Domain Generalization for Mitosis Detection
Yusuke Kurose (U-Tokyo), Yuko Hiroshima, Hiroshi Nanjo (Akita-U), Tatsuya Harada (U-Tokyo)
pp. 100 - 104
MI2022-94
An Investigation of Effectiveness of Organ Features in Automated Anatomical Labeling Using Graph Neural Networks
Tomoya Deguchi, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (Aichi Institute of Tech), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ/NII)
pp. 105 - 110
MI2022-95
Synthesizing COVID-19 CT Images with Generative Adversarial Networks
Ryo Kawasaki (TUAT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT)
pp. 111 - 112
MI2022-96
[Short Paper]
Rotation-Equivariant CNN for Medical Image Processing Applications
Ryota Ogino, Kugler Mauricio, Tatsuya Yokota, Hidekata Hontani (NITech)
pp. 113 - 114
MI2022-97
[Short Paper]
Accuracy Improvement of Annotation Label in Microscopic Pathological Images
Hirotaka Yasuma, Kugler Mauricio, Tatsuya Yokota (NiTech), Kouji Arihiro (Hiroshima Univ.), Hidekata Hontani (NiTech)
pp. 115 - 116
MI2022-98
[Short Paper]
Novel loss function dedicated for anomaly detection using lesion-embedded artificial dataset
-- Normal/Abnormal Contrastive (NAC) loss --
Shouhei Hanaoka (Tokyo Univ.), Yukihiro Nomura (Chiba Univ.), Hisaichi Shibata, Tomomi Takenaga, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe (Tokyo Univ.)
pp. 117 - 118
MI2022-99
Relation Analysis between Endometrial Carcinoma of the Uterine Corpus and Proteins Relating to the DNA Replication Using Immunohistochemical Reaction
Rina Hiratsuka (Chiba Univ.), Fumikazu Kimura, Kengo Ohshima, Takumi Urata (Shinshu Univ.), Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.)
pp. 119 - 122
MI2022-100
[Short Paper]
Generation of Counterfactual Images towards the Construction of Quantitatively Criteria in Malignant Lymphoma
Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (KU), Noriaki Hashimoto, Ichiro Takeuchi (NU), Hidekata Hontani (NIT)
pp. 123 - 124
MI2022-101
[Short Paper]
Improved diagnostic accuracy of melanoma using style transformation
Takeki Tobitsuka, Tatsuya Masaki, Naoto Kitabata, Kazutoshi Hanazaki, WeiLun Chang, Takashi Nagaoka (KINDAI univ)
pp. 125 - 126
MI2022-102
(See Japanese page.)
pp. 127 - 128
MI2022-103
(See Japanese page.)
pp. 129 - 130
MI2022-104
Development of the imaging system for Scratch-PET: intraoperative PET with a hand-held probe-type detector
Taiyo Ishikawa (Chiba Univ.), Yuma Iwao (QST/Chiba Univ.), Go Akamatsu, Sodai Takyu, Hideaki Tashima (QST), Takayuki Okamoto (Chiba Univ.), Taiga Yamaya (QST/Chiba Univ.), Hideaki Haneishi (Chiba Univ.)
pp. 131 - 135
MI2022-105
Development of Information System on Occupational Exposure
Kengo Tanaka (National Hospital Organization Yokohama Medical Center), Rikuta Ishigaki, Shota Harumoto (RYUKYU ISG), Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.)
pp. 136 - 138
MI2022-106
Performance analysis of a hot-spot detection support system of bone scintigrams by post-market training
Kaho Shimada (TUAT), Hiromitsu Daisaki (GCHS), Shigeaki Higashiyama, Joji Kawabe (OMU), Ryusuke Nakaoka (NIHS), Akinobu Shimizu (TUAT)
pp. 139 - 140
MI2022-107
Basic study of 3D human anatomy display system using Mixed Reality (MR)
Yusuke Kondo, Takaharu Yamazaki (SIT)
pp. 141 - 144
MI2022-108
Automatic generation of time intensity curves using an object detection model in contrast-enhanced endoscopic ultrasonography images of pancreatic tumors
Yuma Sugishita, Takeshi Hara (Gifu Univ), Takuji Iwashita (Gifu Univ Hospital), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ)
pp. 145 - 147
MI2022-109
[Short Paper]
Proposal a robust respiratory gating method for rodent micro-CT imaging
Mahiru Fukushima, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.)
pp. 148 - 149
MI2022-110
Deep learning-based MRI phase unwrapping technique by using BlochSolver
Kota Tsutsui, Yuta Endo, Haruna Shibou, Sanae Takahashi, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ)
pp. 150 - 154
MI2022-111
Fast 3D Multi-parameter Mapping using Dictionary Matching
Kohei Saito, Yuta Endo, Haruna Shibou, Sanae Takahashi, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.)
pp. 155 - 160
MI2022-112
Thermal properties imaging in human bodies based on Helmholtz decomposition of heat flux
Naohiro Eda, Takaaki Nara (Univ. Tokyo)
pp. 161 - 166
MI2022-113
Construction of Automatic Photographing System to Observe Whole Skin Flap Necrosis of Model Rats
Momoka Takamiya, Riku Eto, Yoko Kurabuchi, Shinsuke Akita, Nobuyuki Mitsukawa, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.)
pp. 167 - 170
MI2022-114
[Special Talk]
Bench to clinical development of the world's first hemispherical PET
-- Why develop a device in the current AI boom? --
Taiga Yamaya (QST)
pp. 171 - 174
MI2022-115
[Short Paper]
A Hybrid CT Image Reconstruction Method of Deep Learning and Compressive Sensing and Application to Limited-Angle CT Reconstruction
Shogo Aoki, Katsuya Fujii, Souta Okabe, Yuki Sato, Hiroyuki Kudo (Univ.Tsukuba)
pp. 175 - 176
MI2022-116
[Short Paper]
Integration of scatter correction and image reconstruction using deep learning for cone-beam CT.
Souta Okabe, Katsuya Fujii, Hotaka Takizawa, Hiroyuki Kudo (ITF.)
pp. 177 - 178
MI2022-117
[Short Paper]
Fast Statistical Image Reconstruction Method with Material Decomposition for Spectral Photon-Counting CT
Kim Heejeong, Jia Zena, Kudo Hiroyuki (University of Tsukuba)
pp. 179 - 180
MI2022-118
Penalized 3D PET image reconstruction using deep image prior
Fumio Hashimoto, Yuya Onishi, Kibo Ote (HPK), Hideaki Tashima, Taiga Yamaya (QST)
pp. 181 - 183
MI2022-119
Conversion to pseudo-CT images from phalanges CR images using adversarial generation networks
Tomoaki Ushikoshi, Takaharu Yamazaki (SIT), Kazuaki Tanaka (Neomedical), Keizo Fukumoto (Saitama Jikei Hospital)
pp. 184 - 189
MI2022-120
[Short Paper]
An artifact reduction technique for sparse-view CT using frame interpolation
Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.)
pp. 190 - 191
MI2022-121
[Short Paper]
A Denoising Method for Low Dose CT by Iterative Processing Using Self-Supervised Learning
Yuki Sato, Hiroyuki Kudo (Univ of Tsukuba)
pp. 192 - 193
MI2022-122
Cell Tracking in C.elegans
Kaito Shiku, Hiromitsu Shirai, Takeshi Ishihara, Ryoma Bise (Kyushu Univ.)
pp. 194 - 198
MI2022-123
Classification of endoscope images with specular reflection using CNN
Shun Katsuyama, Masashi Fujii (Tottori Univ.), Kazutake Uehara (Yonago Coll.), Masaru Ueki, Hajime Isomoto, Katsuya Kondo (Tottori Univ.)
pp. 199 - 204
MI2022-124
Construction of an organ shape and position atlas using 3D Mesh Variational Autoencoder
Ryuichi Umehara, Mitsuhiro Nakamura, Megumi Nakao (Kyoto University)
pp. 205 - 209
MI2022-125
[Short Paper]
Extraction of kidney and renal tumors in a multi-temporal contrast-enhanced CT image database
Dai Nishioka, Kento Nishihira, Kaito Koshino, Hidenobu Suzuki, Yoshiki Kawata (Tokushima Univ.), Yuki Kobari (TWMU), Atsushi Ikeda (U. Tsukuba), Noboru Niki (Medical Science Institute Inc.)
pp. 210 - 211
MI2022-126
Automatic extraction of vascular lesions in learning a small number of data using semi-supervised mutual learning
Tatsuya Hasunuma (Gifu Univ), Taiki Nozaki, Masaki Matusako (St. Luke's International Hospital), Takeshi Hara, Xiangrong Zhou, Hiroshi Fujita (Gifu Univ)
pp. 212 - 214
MI2022-127
[Short Paper]
Anomaly Region Detection for Chest CT Images based on Probability Density Estimation
Hiroki Tobise, Mauricio Kugler, Tatsuya Yokota (NIT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NIT)
pp. 215 - 216
MI2022-128
[Short Paper]
High Accuracy Segmentation of trachea and bronchus using 3D U-Net
Tatsuya Ogasa, Rikuto Kuroda, Yoshiki Kawata, Hidenobu Suzuki (Tokushima Univ), Yuzi Matsumoto, Takaki Tsuchida, Masahiko Kusumoto (NCC), Noboru Niki (Medical Science Institute Inc.)
pp. 217 - 220
MI2022-129
[Short Paper]
Choroid Extraction from 3D OCT Images by A Deep Learning Model
Shingo Tamachi, Takehito Iwase, Hirotaka Yokouchi, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.)
pp. 221 - 222
MI2022-130
A centerline-based post-processing for detecting intestinal obstructions in CT volumes
Sirui Chen (Nagoya Univ.), Hirohisa oda (UoS), Qin An, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (AIT), Aitaro Takimoto, Akinari Hinoki, Nagoya Univ. (Nagoya Univ.), Kojiro Suzuki (AIC), Masahiro Oda, Kensaku Mori (Nagoya Univ.)
pp. 223 - 228
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.