Online edition: ISSN 2432-6380
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MI2019-65
[Short Paper]
a computer diagnosis system of pneumoconiosis using 3D chest CT images
Nana Mori, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Katsuya Kato (Kawasaki Medical School), Takumi Kishimoto (Okayama Rosai Hospital), Kazuto Ashizawa (Nagasaki Univ.)
pp. 1 - 3
MI2019-66
Mika Kamiya, Shiho Okuhata, Tetsuo Kobayashi (Kyoto Univ.)
pp. 5 - 10
MI2019-67
Automated dection for neck and thoracic lesions on FDG-PET/CT by lesion enhancement using one-class SVM
Atsuko Tanaka, Mitsutaka Memoto, Hayato Kaida, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Kazuyuki Ushifusa (Kindai Uni), Kohei Hanaoka (Kindai Uni Hosp), Kazuhiro Kitajima (Hyogo Col of Med), Tatsuya Tsuchitani (Hosp of Hyogo Col of Med), Kazunari Ishii (Kindai Uni)
pp. 11 - 14
MI2019-68
A study of generalized generation of image features for computer-aided detection systems based on unsupervised learning with normal datasets
-- Experimental evaluations of feature generation by small datasets --
Kazuyuki Ushifusa, Mitsutaka Nemoto(, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Atsuko Tanaka (Kindai Uni.), Naoto Hayashi (The Uni of Tokyo Hosp)
pp. 15 - 18
MI2019-69
Analysis of disease classification and musculoskeletal anatomy using medical images and radiology reports in a large-scale medical image database
Shuhei Honda, Yoshito Otake (NAIST), Masaki Takao (Osaka Univ.), Eiji Aramaki, Shuntaro Yada, Yuta Hiasa (NAIST), Kento Aida, Shinichi Sato (NII), Akihiro Nishie (Kyushu Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST)
pp. 19 - 22
MI2019-70
Proposal of Extraction Method of Important Features in Surgical Planning for Mandibular Reconstruction
Kazuki Nagai, Megumi Nakao (Kyoto Univ.), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.)
pp. 23 - 28
MI2019-71
[Short Paper]
Improvement of a statistical model of human embryonic anatomical landmarks
Aoi Shinjo, Atsushi Saito (TUAT), Tetsuya Takakuwa, Shigehito Yamada (KU), Hidekata Hontani, Hiroshi Matsuzoe (NIT), Shoko Miyauchi, Ken'ichi Morooka (QU), Akinobu Shimizu (TUAT)
pp. 29 - 30
MI2019-72
A preliminary study on deformation analysis of collapsed lung using intraoperative CBCT images
Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.)
pp. 31 - 36
MI2019-73
Automated analysis of 3D dynamics of foot and ankle joints using robust CT segmentation and multi-rigid 2D-3D registration.
Shuntaro Mizoe, Yoshito Otake (NAIST), Takuma Miyamoto (Nara Med Univ.), Mazen Soufi, Yuta Hiasa (NAIST), Shinichi Kosugi (Kosugi Clinic of Orthopedic), Yasuhito Tanaka (Nara Med Univ.), Yoshinobu Sato (NAIST)
pp. 37 - 42
MI2019-74
Evaluation of OpenSim Biomechanical Analysis with Muscle Model Derived from Fiber Tractography in High-Resolution Cryo-section Images
Nobuaki Hagioka, Mazen Soufi, Yoshito Otake (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST)
pp. 43 - 46
MI2019-75
Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning
Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Hayato Ito (Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The Univ of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio Univ School of Medicine), Kensaku Mori (Nagoya Univ)
pp. 47 - 52
MI2019-76
[Poster Presentation]
Computerized Determination Method for Histological Classification of Breast Masses on Ultrasonographic Images Using CNN Features and Morphological Features
Shinya Kunieda, Akiyoshi Hizukuri, Ryohei Nakayama (Ritsumeikan Univ.)
pp. 53 - 55
MI2019-77
[Poster Presentation]
Computerized Classification Method of Benign and Malignant Masses in Multiple MRI Sequences using Convolutional Neural Network
Yuichi Mima, Akiyoshi Hizukuri, Ryohei Nakayama (Ritsumeikan Univer)
pp. 57 - 59
MI2019-78
[Poster Presentation]
Detection of lung nodules on CT images by use of YOLO
Xu Chen, Yasushi Hirano (Yamaguchi Univ.), Shoji Kido (Osaka Univ.)
pp. 61 - 65
MI2019-79
[Short Paper]
Growth process analysis of nodular shadows in chest CT images using function expression
Shoko Inagaki, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Taiki Nozaki, Masaki Matsusako (St. Luke's Hospital)
pp. 67 - 69
MI2019-80
[Short Paper]
Retinal nerve fiber layer analysis on fundus images using CNN trained with OCT data
Ryusuke Watanabe (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Akira Sawada, Xiangrong Zhou (Gifu Univ.), Yuji Hatanaka (USP), Takeshi Hara, Tetsuya Yamamoto, Hiroshi Fujita (Gifu Univ.)
pp. 71 - 72
MI2019-81
[Short Paper]
Recognition of dentition using deep learning in dental panoramic X-ray images
Takumi Morishita (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Xiangrong Zhou (Gifu Univ.), Ryo Takahashi, Tatsuro Hayashi (media), Wataru Nishiyama (Asahi Univ), Takeshi Hara (Gifu Univ.), Yoshiko Ariji, Eiichiro Ariji (Aichi Gakuin Univ.), Akitoshi Katsumata (Asahi Univ), Hiroshi Fujita (Gifu Univ.)
pp. 73 - 74
MI2019-82
Tooth detection based on relation of teeth with Relation Module on dental Cone-beam CT
Shota Kutsuna (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Ryo Takahashi, Tatsuro Hayashi (Media CO., Ltd.), Xiangrong Zhor (Gifu Univ.), Wataru nishiyama (Asashi Univ.), Yoshiko Ariji (Aichi-Gakuin Univ.), Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asashi Univ.), Eichiro Ariji (Aichi-Gakuin Univ.), Hiroshi Fujita (Gifu Univ.)
pp. 75 - 76
MI2019-83
[Short Paper]
Automatic segmentation of malignant tumors using PET/CT images and statistical images
Manami Haga, Takeshi Hara (Gifu Univ.), Satoshi Ito, Masaya Kato (Daiyukai Hospital), Masaki Matsusako (St.Luke's Hospital), Zhou Xiangrong (Gifu Univ.), Tetsuro Katafuchi (Gifu Univ. of Medical Science), Hiroshi Fujita (Gifu Univ.)
pp. 77 - 81
MI2019-84
(See Japanese page.)
pp. 83 - 84
MI2019-85
Investigation of Hard Exudates Image Generated by Cramer Generative Adversarial Networks
Maho Fujita, Yuji Hatanaka, Wataru Sunayama (Univ. of Shiga Prefecture), Chisako Muramatsu (Shiga Univ.), Hiroshi FUjita (Gifu Univ.)
pp. 85 - 89
MI2019-86
Effects of skull and surrounding area in functional MRI analysis using Convolutional Neural Network
Yuta Hosoi, Takafumi Hayashi (Niigata Univ.)
pp. 91 - 96
MI2019-87
Proposal for a Method for Classifying Aortic Stenosis from ECG Using Deep Learning, and Analysis Using Grad-CAM.
Erika Hata, Chanjin Seo (Waseda Univ.), Masafumi Nakayama (Todachuo General Hospital), Kiyotaka Iwasaki (Waseda Univ.), Takaaki Ohkawauchi (Nihon Univ.), Jun Ohya (Waseda Univ.)
pp. 97 - 101
MI2019-88
Cell Image Segmentation by Attention Module Considering Relationship Between Generator and Discriminator
Hiroki Tsuda, Kazuhiro Hotta (Meijo Univ.)
pp. 103 - 108
MI2019-89
(See Japanese page.)
pp. 109 - 114
MI2019-90
[Invited Talk]
Implementing IT and AI in the clinical field
-- AI hospital project --
Masahiro Jinzaki (Keio Univ.)
p. 115
MI2019-91
Characterization of ultrasonic backscatter of vascular system using high-frame-rate ultrasound imaging
Masaaki Omura (Chiba Univ.), Hideyuki Hasegawa, Ryo Nagaoka (Toyama Univ.), Kenji Yoshida, Tadashi Yamaguchi (Chiba Univ.)
pp. 117 - 122
MI2019-92
[Short Paper]
Decomposition of individual musculoskeletal of lower extremity using CycleGAN
-- Estimation of left-right volume ratio of muscle and quantitative evaluation with single radiograph --
Naoki Nakanishi, Yuta Hiasa, Yoshito Otake (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST)
pp. 123 - 124
MI2019-93
Landmark detection of pelvis and femur for preoperative planning of total hip replacement using CNN
Yuki Nakanishi (Kobe Univ.), Yoshito Otake (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yuta Hiasa (NAIST), Yoshiyuki Kagiyama (Univ. of Yamanashi), Toshiya Kaihara (Kobe Univ.), Yoshinobu Sato (NAIST)
pp. 125 - 127
MI2019-94
Surgical tool segmentation from laparoscopic images using laparoscopic image syntheses and deep learning
Takuya Ozawa, Yuichiro Hayashi, Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aich Ins. of Tech.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.)
pp. 129 - 134
MI2019-95
Study of the Perception Error in AR Navigation for Supporting IVR Using Microsoft HoloLens
Shuhei Fujii (Waseda Univ.), Satoru Morita, Kazufumi Suzuki, Kenji Endo (Tokyo Women's Medical Univ. Hospital), Takeshi Morishita (Waseda Univ.), Hiroshi Nagahashi (Japan Women's Univ.), Ken Masamune (Tokyo Women's Medical Univ.), Jun Ohya (Waseda Univ.)
pp. 135 - 139
MI2019-96
Development of OCT Simulator using KTN Wavelength Swept Light Source.
Masashi Nakamura, Kazumi Murata, Koichi Ogawa (Hosei Univ.)
pp. 141 - 145
MI2019-97
[Short Paper]
A Combined System of Raman Spectroscopy and Optical Coherence Tomography for Pathological Diagnosis
Yumi Ueda, Kazuya Nakano, Takashi Ohnishi, Hanako Tatekawa, Seiichiro Hirono, Yasuo Iwadate, Hideaki Haneishi (Chiba Univ.)
pp. 147 - 148
MI2019-98
[Short Paper]
Fundamental study for relationship analysis between acoustic features by microscopy and pathological characteristics on brain tumors
Daiki Matsumoto, Takashi Ohnishi, Kazuya Nakano, Takuya Ogawa, Seiichiro Hirono, Tadashi Yamaguchi, Yasuo Iwadate, Hideaki Haneishi (Chiba Univ.)
pp. 149 - 150
MI2019-99
Construction of Basis Vectors for Representation of Immunostaining Combination by Non-negative Matrix Decomposition
Kaho Ko, Noriaki Hashimoto, Tatsuya Yokota (NITech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUH), Ichiro Takeuchi, Hidekata Hontani (NITech)
pp. 151 - 154
MI2019-100
Mutual stain transfer among differently stained pathological images with Extraction of Common Image Features
Hideo Adachi, Mauricio Kugler (NIT), Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume (Kyushu Univ.), Tatsuya Yokota, Hidekata Hontani (NIT)
pp. 155 - 158
MI2019-101
Evaluation of 3D adversarial networks for metallic dental artifact reduction
Megumi Nakao (Kyoto Univ.), Keiho Imanishi (e-Growth), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Otowa Hosp.), Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.)
pp. 159 - 164
MI2019-102
[Short Paper]
Study of image quality improvement technique using deep learning for nuclear medicine images
Masaya Momiuchi, Takeshi Hara (Gifu Univ), Tetsuro Katafuchi (Gifu Univ of Medical Science), Masaki Matsusako (St. Luke's Hospital), Hiroshi Fujita (Gifu Univ)
pp. 165 - 168
MI2019-103
High precision metal artifacts reduction in X-ray CT images by Deep Image Prior and sinogram normalization
Hiroya Satake, Tatsuya Yokota (NIT), Yoshito Otake, Yoshinobu Sato (NAIST), Hidekata Hontani (NIT)
pp. 169 - 174
MI2019-104
[Short Paper]
Improvement of super-resolution of a thoracic CT volume by a simultaneous process with anatomical segmentation
Katsuki Tozawa, Atsushi Saito (TUAT), Shoji Kido (Osaka University), Yasushi Hirano (Yamaguchi University), Kunihiro Inai, Hirohiko Kimura (University of Fukui), Akinobu Shimizu (TUAT)
pp. 175 - 176
MI2019-105
Flow-velocity measurement accuracy of three-dimensional cine phase contrast magnetic resonance imaging using a parallel imaging technique
-- Verification using the flow phantom capable of measuring flow velocity in three directions --
Atsushi Fukuyama (Nagoya Univ.), Katsuhiro Inoue (Mie Univ.), Yutaka kato (Nagoya Univ.)
pp. 177 - 180
MI2019-106
(See Japanese page.)
pp. 181 - 183
MI2019-107
[Poster Presentation]
Ring-artefact removal based on compressed sensing for photon-counting CT
Kazumi Murata, Koichi Ogawa (Hosei Univ.)
pp. 185 - 188
MI2019-108
[Poster Presentation]
At-211 imaging with a static SPECT system
Michi Okoshi, Hiroki Yamada, Kazumi Murata, Koichi Ogawa (Hosei Univ.)
pp. 189 - 192
MI2019-109
(See Japanese page.)
p. 193
MI2019-110
[Short Paper]
Improvement of a bone metastasis detection algorithm in a bone scintigram
Hayato Wakabayashi, Atsushi Saito (TAT), Shigeaki Higashiyama, Joji Kawabe (Osaka City Univ.), Akinobu Shimizu (TAT)
pp. 195 - 196
MI2019-111
[Poster Presentation]
Metamorphopsia inspection system based on drawing of own perceptual image by patient
Kazuma Mikami (Kwansei Gakuin Univ), Nao Sonoda, Yoichi Okita, Hisashi Fukuyama, Fumi Gomi (Hyogo Col Med), Masataka Imura (Kwansei Gakuin Univ)
pp. 197 - 199
MI2019-112
[Short Paper]
Improvement of a gallbladder segmentation algorithm from a contrast enhanced abdominal CT volume
-- Improvement of an EM algorithm for parameter estimation --
Tomomi Yamanaka, Atsushi Saito (TUAT), Sigeru Nawano (IUHW), Junji Ueno (Kitajima Taoka Hospital), Masafumi Harada (Tokushima Univ.), Akinobu Shimizu (TUAT)
pp. 201 - 202
MI2019-113
2D Deep CNN for automated multi organ segmentation from CT images by using consecutive slices feature maps
Hiroki Isakari, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.)
pp. 203 - 205
MI2019-114
(See Japanese page.)
pp. 207 - 208
MI2019-115
Bleeding area segmentation from laparoscopic video based on U-Net for laparoscopic surgery support
Shota Yamamoto, Yuichiro Hayashi, Shintaro Morimitsu, Takuya Ozawa (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (Cancer Center), Kensaku Mori (Nagoya Univ.)
pp. 209 - 214
MI2019-116
Extracting and Visualization of Essential Features for Staining Translation of Pathological Images
Ryoichi Koga, Noriaki Hashimoto, Tatsuya Yokota (NIT), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUI), Ichiro Takeuchi, Hidekata Hontani (NIT)
pp. 215 - 218
MI2019-117
Report on MICCAI 2019
Masahiro Oda, Hayato Itoh (Nagoya Univ.), Shoko Miyauchi, Ken'ichi Morooka (Kyusyu Univ.), Hirotaka Matsuzaki (National Cancer Center Hospital East), Shohei Hanaoka (Tokyo Univ. Hospital), Ryo Furukawa, Yoshitaka Masutani (Hiroshima City Univ.), Kensaku Mori (Nagoya Univ.)
pp. 219 - 226
MI2019-118
MR Imaging biomarkers for Prediction of Genetic Assessment for Breast Cancer Recurrence: A Radiogenomics Study
Taiguang Yuan, Ze Jin (Tokyo Tech), Yukiko Tokuda, Noriyuki Tomiyama, Yasuto Naoi (OU), Kenji Suzuki (Tokyo Tech)
pp. 227 - 230
MI2019-119
[Short Paper]
3D Brain Atlas Construction from Single Japanese Cadaver Brain
Yota Noda, Ken'ichi Morooka (Kyushu Univ.), Yasushi Miyagi (Fukuoka Mirai Hospital), Takaichi Fukuda (Kumamoto Univ.), Shoko Miyauchi, Ryo Kurazume (Kyushu Univ.)
pp. 231 - 234
MI2019-120
Exploration of image features associated with ruptures of intracranial aneurysms using magnetic resonance angiography
Masayuki Yamanouchi (KMH), Hidetaka Arimura (Kyushu Univ.)
pp. 235 - 236
MI2019-121
Detection and Classification of Cervical Intraepithelial Lesions using Deep Learning
Margaret Manalo, Kota Aoki, Yutaka Ueda, Yu Ito, Yasushi Yagi (Osaka Univ.)
pp. 237 - 242
MI2019-122
Electronic bowl cleansing based on CycleGAN and its application to detection of intestinal obstruction part
Kohei Nishio, Hirohisa Oda, Kosuke Chiba (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Yuichiro Hayashi, Hayato Itoh, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Kensaku Mori (Nagoya Univ.)
pp. 243 - 248
MI2019-123
Study on non-rigid registration of clinical chest CT volumes and micro CT volumes of excised lung specimen
Shinya Hatakoshi, Hirohisa Oda, Yuichiro Hayashi, Holger R. Roth, Shouta Nakamura, Masahiro Oda (Nagoya Univ.), Masaki Mori (Sapporo-Kosei General Hosp.), Hirotsugu Takabatake (Sapporo Minami-sanjo Hosp.), Hiroshi Natori (Keiwakai Nishioka Hosp.), Kensaku Mori (Nagoya Univ.)
pp. 249 - 254
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.