Information and Systems-Image Engineering(Date:2021/07/08)

Presentation
Extraction of Calcified Regions from OCT Images Using Deep Learning

Ryo Oikawa(Iwate Prefectural Univ.),  Toru Kato(Iwate Prefectural Univ.),  Akio Doi(Iwate Prefectural Univ.),  Basabi Chakraborty(Iwate Prefectural Univ.),  Masaru Ishida(Iwate Medical Univ.),  

[Date]2021-07-08
[Paper #]MI2021-12
Automated detection of malignant tumors on PET/CT images using convolutional neural networks and statistical images

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(Daiyukai General Hospital),  Masaya Kato(Daiyukai General Hospital),  Xiangrong Zhou(Gifu Univ.),  Hiroshi Fujita(Gifu Univ.),  

[Date]2021-07-08
[Paper #]MI2021-9
Unsupervised deep learning with low-rank and sparse priors for blood vessel enhancement from free-breathing angiography

Ryoji Ishibashi(Nagasaki Univ.),  Tomoya Sakai(Nagasaki Univ.),  Hideaki Haneishi(Chiba Univ.),  

[Date]2021-07-08
[Paper #]MI2021-11
[Short Paper] Performance comparison of multiple deep CNN methods for multiple organ detection in CT images

Daiki Kanoh(Gifu Univ.),  Xiangrong Zhou(Gifu Univ.),  Takeshi Hara(Gifu Univ.),  Hiroshi Fujita(Gifu Univ.),  

[Date]2021-07-08
[Paper #]MI2021-10
[Short Paper] Renal tumor analysis using multi-temporal abdominal CT images

Kento Nishihira(Tokushima Univ.),  Hidenobu Suzuki(Tokushima Univ.),  Mikio Matsuhiro(Tokushima Univ.),  Yoshiki Kawata(Tokushima Univ.),  Noboru Niki(Tokushima Univ.),  Atsushi ikeda(Tsukuba Univ.),  

[Date]2021-07-08
[Paper #]MI2021-13
[Special Talk] How to survive: will medical imaging societies survive in the AI ??era?

Shigeru Nawano(Shinmatsudo CG Hosp. hosp.),  

[Date]2021-07-08
[Paper #]MI2021-14
Applying Convolutional Network to Predict Pathology of Postchemotherapy Retroperitoneal Nodal Masses in Germ Cell tumors

Yoshimasa Iwano(Univ. of Tsukuba),  Satoshi Nitta(Univ. of Tsukuba),  Takahiro Kojima(Aichi Cancer Center),  Hideki Kakeya(Univ. of Tsukuba),  

[Date]2021-07-09
[Paper #]MI2021-15
Study of chest x-ray image screening with deep learning for medical checkup

Tomohiko Shimoyama(Canon ITS Medical),  Tadashi Sugiyama(Public Health Research),  Yahata Takeshi(Public Health Research),  Taro Yamazaki(Public Health Research),  Tomoaki Yoshida(Public Health Research),  Takeshi Washiashi(Canon ITS Medical),  Kazuki Takahashi(Canon ITS Medical),  Toshihiro Konno(Canon ITS Medical),  Yoshihiro Tamachi(Public Health Research),  

[Date]2021-07-09
[Paper #]MI2021-18
Severity determination of chest CT data in tuberculosis patients using deep learning

Tetsuya Asakawa(TUT),  Riku Tsuneda(TUT),  Kazuki Simizu(THC),  Takuyuki Komoda(THC),  Masaki Aono(TUT),  

[Date]2021-07-09
[Paper #]MI2021-19
Asynchrony analysis of diaphragmatic movement for evaluation of respiratory dynamics in COPD patients

Xiao Tan(Chiba Univ.),  Yuma Iwao(QST),  Chen Ye(Chiba Univ.),  Kotaro Takahashi(Chiba Univ.),  Yoshitada Masuda(Chiba Univ. Hospital),  Ayako Shimada(Chiba Univ.),  Naoko Kawata(Chiba Univ.),  Hideaki Haneishi(Chiba Univ.),  

[Date]2021-07-09
[Paper #]MI2021-20
[Short Paper] Construction of Subtype Classifier for Malignant Lymphoma based on H&E-stained Images using Immuno-stainning Data

Yuki Hirono(NIT),  Noriaki Hashimoto(RIKEN),  Kugler Mauricio(NIT),  Tatsuya Yokota(NIT),  Miharu Nagaishi(Kurume Univ.),  Hiroaki Miyoshi(Kurume Univ./JSP),  Koichi Oshima(Kurume Univ./JSP),  Ichiro Takeuchi(NIT/RIKEN),  Hidekata Hontani(NIT),  

[Date]2021-07-09
[Paper #]MI2021-16
[Short Paper] Multi-modal Adaptive Fusion Transformer Network for Estimation of Depression Level

Jiaqing Liu(Ritsumei),  Shurong Chai(Ritsumei),  Hao Sun(Zheda),  Xin-Yin Huang(Soochow University),  LanFen Lin(Zheda),  Tomoko Tateyama(Shiga University),  Yutaro Iwamoto(Ritsumei),  Yen-Wei Chen(Ritsumei),  

[Date]2021-07-09
[Paper #]MI2021-17