Conference Date	Mon, Mar 6, 2023 09:00 - 18:09 Tue, Mar 7, 2023 08:30 - 18:08
Topics
Conference Place
Address	2-15-23, Kume, Naha, Okinawa, Japan.
Transportation Guide	http://www.okiseikan.or.jp/user.php?CMD=1154016000000
Contact Person	Yuji Oyamada (ot-u)
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.

	09:00-09:05	Opening Address ( 5 min. )
Mon, Mar 6 AM  09:05 - 10:36
(1)	09:05-09:18	Accuracy improvement of emsemble learning based dementia classification for brain SPECT volumes MI2022-72	Naoki Matsumoto (TUAT), Makoto Fukasawa, Tomomichi Iizuka (Fukujuji Hosp.), Akinobu Shimizu (TUAT)
(2)	09:18-09:31	[Short Paper] FUSE-2, Aided Diagnosis Method for Dementia using Cross-Modality Translation with Alignment by Deep Learning MI2022-73	Kodai Yamashita, Souta Okabe, Hiroyuki Kudo (Univ. of Tsukuba)
(3)	09:31-09:44	Recognition of tooth types and conditions in dental panoramic radiographs with object detection and prior knowledge MI2022-74	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.)
(4)	09:44-09:57	Machine learning models using CT images and clinical variable to classify tumors in testicular cancer MI2022-75	Shota Nakagawa, Masanobu Gido (University of Tsukuba), Satoshi Nitta (University of Tsukuba Hospital), Takahiro Kojima (Aichi Cancer Center Hospital), Hideki Kakeya (University of Tsukuba)
(5)	09:57-10:10	Multi-label multi-class estimation of pathology in high-resolution chest CT images using SRGAN MI2022-76	Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT)
(6)	10:10-10:23	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 -- MI2022-77	Yu Jin, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Shinichi Mizuno (Kyushu Univ.), Satoshi Ansai (Kyoto Univ.)
(7)	10:23-10:36	Computer-aided diagnosis of chest CT images for COVID-19 with lesion enhancement MI2022-78	Yusuke Takateyama (TUAT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT)
Mon, Mar 6   10:45 - 11:45
(8)	10:45-11:45	Report on MICCAI 2022 MI2022-79	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.)
Mon, Mar 6   13:15 - 14:46
(9)	13:15-13:28	[Short Paper] Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN MI2022-80	Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba)
(10)	13:28-13:41	Segmentation of Infected Regions from Chest CT Scans of COVID-19 Cases using Average Template MI2022-81	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.)
(11)	13:41-13:54	Comparative study of the Small Intestine segmentation based on 2D and 3D U-Nets MI2022-82	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.)
(12)	13:54-14:07	Prediction of missing tooth shape from dental 3D scan data for automated dental treatment planning MI2022-83	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)
(13)	14:07-14:20	Application of statistical shape modeling of whole lower limbs in the prediction of musculoskeletal shapes MI2022-84	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)
(14)	14:20-14:33	A study on estimation of blood vessel regions from laparoscopic videos using preoperative image information MI2022-85	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)
(15)	14:33-14:46	Automated Musculoskeletal Foot Segmentation in CT Images for Patient-Specific Functional Foot Analysis MI2022-86	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)
Mon, Mar 6   14:55 - 16:13
(16)	14:55-15:08	MI2022-87
(17)	15:08-15:21	MI2022-88
(18)	15:21-15:34	MI2022-89
(19)	15:34-15:47	Reproducing method of cancer annotation by local features in pathological images MI2022-90	Shunya Mutsuda (KIT), Sohsuke Yamada (Kanazawa Medical Univ.), Toshiki Kindo (KIT)
(20)	15:47-16:00	Predicting disease from Chest-X-ray and Heart-CT images using Fine Tuning MI2022-91	Yuya Kumagai, Hiroki Shinoda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT)
(21)	16:00-16:13	Segmentation of renal cancers from multi-phase CT images by deep learning using selective fusion MI2022-92	Masanobu Gido (Tsukuba Univ.), Ryo Tanimoto, Kensaku Mori, Hideki Kakeya (Tsukuba Univ.)
Mon, Mar 6   16:25 - 18:09
(22)	16:25-16:38	Domain Generalization for Mitosis Detection MI2022-93	Yusuke Kurose (U-Tokyo), Yuko Hiroshima, Hiroshi Nanjo (Akita-U), Tatsuya Harada (U-Tokyo)
(23)	16:38-16:51	An Investigation of Effectiveness of Organ Features in Automated Anatomical Labeling Using Graph Neural Networks MI2022-94	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)
(24)	16:51-17:04	Synthesizing COVID-19 CT Images with Generative Adversarial Networks MI2022-95	Ryo Kawasaki (TUAT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT)
(25)	17:04-17:17	[Short Paper] Rotation-Equivariant CNN for Medical Image Processing Applications MI2022-96	Ryota Ogino, Kugler Mauricio, Tatsuya Yokota, Hidekata Hontani (NITech)
(26)	17:17-17:30	[Short Paper] Accuracy Improvement of Annotation Label in Microscopic Pathological Images MI2022-97	Hirotaka Yasuma, Kugler Mauricio, Tatsuya Yokota (NiTech), Kouji Arihiro (Hiroshima Univ.), Hidekata Hontani (NiTech)
(27)	17:30-17:43	[Short Paper] Novel loss function dedicated for anomaly detection using lesion-embedded artificial dataset -- Normal/Abnormal Contrastive (NAC) loss -- MI2022-98	Shouhei Hanaoka (Tokyo Univ.), Yukihiro Nomura (Chiba Univ.), Hisaichi Shibata, Tomomi Takenaga, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe (Tokyo Univ.)
(28)	17:43-17:56	Relation Analysis between Endometrial Carcinoma of the Uterine Corpus and Proteins Relating to the DNA Replication Using Immunohistochemical Reaction MI2022-99	Rina Hiratsuka (Chiba Univ.), Fumikazu Kimura, Kengo Ohshima, Takumi Urata (Shinshu Univ.), Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.)
(29)	17:56-18:09	[Short Paper] Generation of Counterfactual Images towards the Construction of Quantitatively Criteria in Malignant Lymphoma MI2022-100	Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (KU), Noriaki Hashimoto, Ichiro Takeuchi (NU), Hidekata Hontani (NIT)
Tue, Mar 7   08:30 - 10:01
(30)	08:30-08:43	[Short Paper] Improved diagnostic accuracy of melanoma using style transformation MI2022-101	Takeki Tobitsuka, Tatsuya Masaki, Naoto Kitabata, Kazutoshi Hanazaki, WeiLun Chang, Takashi Nagaoka (KINDAI univ)
(31)	08:43-08:56	MI2022-102
(32)	08:56-09:09	MI2022-103
(33)	09:09-09:22	Development of the imaging system for Scratch-PET: intraoperative PET with a hand-held probe-type detector MI2022-104	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.)
(34)	09:22-09:35	Development of Information System on Occupational Exposure MI2022-105	Kengo Tanaka (National Hospital Organization Yokohama Medical Center), Rikuta Ishigaki, Shota Harumoto (RYUKYU ISG), Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.)
(35)	09:35-09:48	Performance analysis of a hot-spot detection support system of bone scintigrams by post-market training MI2022-106	Kaho Shimada (TUAT), Hiromitsu Daisaki (GCHS), Shigeaki Higashiyama, Joji Kawabe (OMU), Ryusuke Nakaoka (NIHS), Akinobu Shimizu (TUAT)
(36)	09:48-10:01	Basic study of 3D human anatomy display system using Mixed Reality (MR) MI2022-107	Yusuke Kondo, Takaharu Yamazaki (SIT)
Tue, Mar 7   10:25 - 11:43
(37)	10:25-10:38	Automatic generation of time intensity curves using an object detection model in contrast-enhanced endoscopic ultrasonography images of pancreatic tumors MI2022-108	Yuma Sugishita, Takeshi Hara (Gifu Univ), Takuji Iwashita (Gifu Univ Hospital), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ)
(38)	10:38-10:51	[Short Paper] Proposal a robust respiratory gating method for rodent micro-CT imaging MI2022-109	Mahiru Fukushima, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.)
(39)	10:51-11:04	Deep learning-based MRI phase unwrapping technique by using BlochSolver MI2022-110	Kota Tsutsui, Yuta Endo, Haruna Shibou, Sanae Takahashi, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ)
(40)	11:04-11:17	Fast 3D Multi-parameter Mapping using Dictionary Matching MI2022-111	Kohei Saito, Yuta Endo, Haruna Shibou, Sanae Takahashi, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.)
(41)	11:17-11:30	Thermal properties imaging in human bodies based on Helmholtz decomposition of heat flux MI2022-112	Naohiro Eda, Takaaki Nara (Univ. Tokyo)
(42)	11:30-11:43	Construction of Automatic Photographing System to Observe Whole Skin Flap Necrosis of Model Rats MI2022-113	Momoka Takamiya, Riku Eto, Yoko Kurabuchi, Shinsuke Akita, Nobuyuki Mitsukawa, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.)
Tue, Mar 7   13:15 - 14:10
(43)	13:15-14:10	[Special Talk] Bench to clinical development of the world's first hemispherical PET -- Why develop a device in the current AI boom? -- MI2022-114	Taiga Yamaya (QST)
Tue, Mar 7   14:20 - 15:51
(44)	14:20-14:33	[Short Paper] A Hybrid CT Image Reconstruction Method of Deep Learning and Compressive Sensing and Application to Limited-Angle CT Reconstruction MI2022-115	Shogo Aoki, Katsuya Fujii, Souta Okabe, Yuki Sato, Hiroyuki Kudo (Univ.Tsukuba)
(45)	14:33-14:46	[Short Paper] Integration of scatter correction and image reconstruction using deep learning for cone-beam CT. MI2022-116	Souta Okabe, Katsuya Fujii, Hotaka Takizawa, Hiroyuki Kudo (ITF.)
(46)	14:46-14:59	[Short Paper] Fast Statistical Image Reconstruction Method with Material Decomposition for Spectral Photon-Counting CT MI2022-117	Kim Heejeong, Jia Zena, Kudo Hiroyuki (University of Tsukuba)
(47)	14:59-15:12	Penalized 3D PET image reconstruction using deep image prior MI2022-118	Fumio Hashimoto, Yuya Onishi, Kibo Ote (HPK), Hideaki Tashima, Taiga Yamaya (QST)
(48)	15:12-15:25	Conversion to pseudo-CT images from phalanges CR images using adversarial generation networks MI2022-119	Tomoaki Ushikoshi, Takaharu Yamazaki (SIT), Kazuaki Tanaka (Neomedical), Keizo Fukumoto (Saitama Jikei Hospital)
(49)	15:25-15:38	[Short Paper] An artifact reduction technique for sparse-view CT using frame interpolation MI2022-120	Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.)
(50)	15:38-15:51	[Short Paper] A Denoising Method for Low Dose CT by Iterative Processing Using Self-Supervised Learning MI2022-121	Yuki Sato, Hiroyuki Kudo (Univ of Tsukuba)
Tue, Mar 7   16:00 - 16:39
(51)	16:00-16:13	Cell Tracking in C.elegans MI2022-122	Kaito Shiku, Hiromitsu Shirai, Takeshi Ishihara, Ryoma Bise (Kyushu Univ.)
(52)	16:13-16:26	Classification of endoscope images with specular reflection using CNN MI2022-123	Shun Katsuyama, Masashi Fujii (Tottori Univ.), Kazutake Uehara (Yonago Coll.), Masaru Ueki, Hajime Isomoto, Katsuya Kondo (Tottori Univ.)
(53)	16:26-16:39	Construction of an organ shape and position atlas using 3D Mesh Variational Autoencoder MI2022-124	Ryuichi Umehara, Mitsuhiro Nakamura, Megumi Nakao (Kyoto University)
Tue, Mar 7   16:50 - 18:08
(54)	16:50-17:03	[Short Paper] Extraction of kidney and renal tumors in a multi-temporal contrast-enhanced CT image database MI2022-125	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.)
(55)	17:03-17:16	Automatic extraction of vascular lesions in learning a small number of data using semi-supervised mutual learning MI2022-126	Tatsuya Hasunuma (Gifu Univ), Taiki Nozaki, Masaki Matusako (St. Luke's International Hospital), Takeshi Hara, Xiangrong Zhou, Hiroshi Fujita (Gifu Univ)
(56)	17:16-17:29	[Short Paper] Anomaly Region Detection for Chest CT Images based on Probability Density Estimation MI2022-127	Hiroki Tobise, Mauricio Kugler, Tatsuya Yokota (NIT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NIT)
(57)	17:29-17:42	[Short Paper] High Accuracy Segmentation of trachea and bronchus using 3D U-Net MI2022-128	Tatsuya Ogasa, Rikuto Kuroda, Yoshiki Kawata, Hidenobu Suzuki (Tokushima Univ), Yuzi Matsumoto, Takaki Tsuchida, Masahiko Kusumoto (NCC), Noboru Niki (Medical Science Institute Inc.)
(58)	17:42-17:55	[Short Paper] Choroid Extraction from 3D OCT Images by A Deep Learning Model MI2022-129	Shingo Tamachi, Takehito Iwase, Hirotaka Yokouchi, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.)
(59)	17:55-18:08	A centerline-based post-processing for detecting intestinal obstructions in CT volumes MI2022-130	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.)

Contact Address and Latest Schedule Information
MI	Technical Committee on Medical Imaging (MI)   [Latest Schedule]
	Contact Address	Yuji Oyamada (Tottori University) E-: ot-u When you cannot contact us above: Technical Committee on Medical Imaging ML: -bt

Last modified: 2023-03-03 14:39:27