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Technical Committee on Medical Imaging (MI)

Chair		Hidekata Hontani (Nagoya Inst. of Tech.)
Vice Chair		Hideaki Haneishi (Chiba Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.)
Secretary		Yasushi Hirano (Yamaguchi Univ.), Ryo Haraguchi (Univ. of Hyogo)
Assistant		Hotaka Takizawa (Tsukuba Univ.), Yoshito Otake (NAIST)

Conference Date	Thu, Jul 8, 2021 12:50 - 16:30 Fri, Jul 9, 2021 10:30 - 15:10
Topics	Medical imaging, physics, and recognition
Conference Place
Contact Person	Takeshi Hara, Gifu University
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.

	12:50-13:00	Opening ( 10 min. )
Thu, Jul 8 PM 13:00 - 15:45
(1)	13:00-13:30	Automated detection of malignant tumors on PET/CT images using convolutional neural networks and statistical images MI2021-9	Takumi Aihara (Gifu Univ.), Masaki Matsusako (St.Luke's International Hospital), Takeshi Hara (Gifu Univ.), Taiki Nozaki (St.Luke's International Hospital), Tetsuro Katafuchi (Gifu University of Medical Science), Satoshi Ito, Masaya Kato (Daiyukai General Hospital), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.)
(2)	13:30-14:00	[Short Paper] Performance comparison of multiple deep CNN methods for multiple organ detection in CT images MI2021-10	Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.)
(3)	14:00-14:30	Unsupervised deep learning with low-rank and sparse priors for blood vessel enhancement from free-breathing angiography MI2021-11	Ryoji Ishibashi, Tomoya Sakai (Nagasaki Univ.), Hideaki Haneishi (Chiba Univ.)
(4)	14:30-15:00	Extraction of Calcified Regions from OCT Images Using Deep Learning MI2021-12	Ryo Oikawa, Toru Kato, Akio Doi, Basabi Chakraborty (Iwate Prefectural Univ.), Masaru Ishida (Iwate Medical Univ.)
(5)	15:00-15:30	[Short Paper] Renal tumor analysis using multi-temporal abdominal CT images MI2021-13	Kento Nishihira, Hidenobu Suzuki, Mikio Matsuhiro, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Atsushi ikeda (Tsukuba Univ.)
	15:30-15:45	Break ( 15 min. )
Thu, Jul 8 PM 15:45 - 16:30
(6)	15:45-16:30	[Special Talk] How to survive: will medical imaging societies survive in the AI era? -- A new sketch of Computer Aided diagnosis and CAD challenges -- MI2021-14	Shigeru Nawano (Shinmatsudo CG Hosp. hosp.)
Fri, Jul 9 AM 10:30 - 12:00
(7)	10:30-11:00	Applying Convolutional Network to Predict Pathology of Postchemotherapy Retroperitoneal Nodal Masses in Germ Cell tumors MI2021-15	Yoshimasa Iwano, Satoshi Nitta (Univ. of Tsukuba), Takahiro Kojima (Aichi Cancer Center), Hideki Kakeya (Univ. of Tsukuba)
(8)	11:00-11:30	[Short Paper] Construction of Subtype Classifier for Malignant Lymphoma based on H&E-stained Images using Immuno-stainning Data MI2021-16	Yuki Hirono (NIT), Noriaki Hashimoto (RIKEN), Kugler Mauricio, Tatsuya Yokota (NIT), Miharu Nagaishi (Kurume Univ.), Hiroaki Miyoshi, Koichi Oshima (Kurume Univ./JSP), Ichiro Takeuchi (NIT/RIKEN), Hidekata Hontani (NIT)
(9)	11:30-12:00	[Short Paper] Multi-modal Adaptive Fusion Transformer Network for Estimation of Depression Level MI2021-17	Jiaqing Liu, Shurong Chai (Ritsumei), Hao Sun (Zheda), Xin-Yin Huang (Soochow University), LanFen Lin (Zheda), Tomoko Tateyama (Shiga University), Yutaro Iwamoto, Yen-Wei Chen (Ritsumei)
	12:00-13:30	Break(Lunch break) ( 90 min. )
Fri, Jul 9 PM 13:30 - 15:10
(10)	13:30-14:00	Study of chest x-ray image screening with deep learning for medical checkup MI2021-18	Tomohiko Shimoyama (Canon ITS Medical), Tadashi Sugiyama, Yahata Takeshi, Taro Yamazaki, Tomoaki Yoshida (Public Health Research), Takeshi Washiashi, Kazuki Takahashi, Toshihiro Konno (Canon ITS Medical), Yoshihiro Tamachi (Public Health Research)
(11)	14:00-14:30	Severity determination of chest CT data in tuberculosis patients using deep learning MI2021-19	Tetsuya Asakawa, Riku Tsuneda (TUT), Kazuki Simizu, Takuyuki Komoda (THC), Masaki Aono (TUT)
(12)	14:30-15:00	Asynchrony analysis of diaphragmatic movement for evaluation of respiratory dynamics in COPD patients MI2021-20	Xiao Tan (Chiba Univ.), Yuma Iwao (QST), Chen Ye, Kotaro Takahashi (Chiba Univ.), Yoshitada Masuda (Chiba Univ. Hospital), Ayako Shimada, Naoko Kawata, Hideaki Haneishi (Chiba Univ.)
	15:00-15:10	Closing ( 10 min. )

Announcement for Speakers
General Talk	Each speech will have 25 minutes for presentation and 5 minutes for discussion.

Contact Address and Latest Schedule Information
MI	Technical Committee on Medical Imaging (MI) [Latest Schedule]
	Contact Address	Takeshi Hara, Gifu University, sgi-u Technical Committee on Medical Imaging ML: -bt Yoshito OTAKE (NAIST) E-: oisist TEL: 0743-72-5235