Information and Systems-Image Engineering(Date:2021/05/17)

Presentation
MR super-resolution based on signal-image domain learning using phase scrambling Fourier transform imaging

Kazuki Yamato(Utsunomiya Univ.),  Hiromichi Wakatsuki(Utsunomiya Univ.),  Satoshi Ito(Utsunomiya Univ.),  

[Date]2021-05-17
[Paper #]MI2021-6
A fusion algorithm of conventional feature and deep learning feature for lung CT image feature extraction

Hanae Yoshida(Hitachi),  Yun Li(Hitachi),  Mayumi Suzuki(Hitachi),  Masahiro Ogino(Hitachi),  

[Date]2021-05-17
[Paper #]MI2021-8
[Special Talk] 40 years of experience in image recognition research

Hiroshi Murase(Nagoya Univ.),  

[Date]2021-05-17
[Paper #]MI2021-4
[Short Paper] Regression of Induced Electric Field for TMS by using Neural Network and Governing Equation

Toyohiro Maki(NITech),  Yoshikazu Ugawa(Fukushima Medical Univ.),  Takenobu Murakami(Fukushima Medical Univ.),  Tatsuya Yokota(NITech),  Akimasa Hirata(NITech),  Hidekata Hontani(NITech),  

[Date]2021-05-17
[Paper #]MI2021-1
[ショートペーパー]肺がんのラジオゲノミクス検診の検討

Tatsuya Ogasa(Tokushima Univ),  Mikio Matsuhiro(Tokushima Univ),  Hidenobu Suzuki(Tokushima Univ),  Yoshiki Kawata(Tokushima Univ),  Noboru Niki(Tokushima Univ),  ,  ,  ,  ,  

[Date]2021-05-17
[Paper #]MI2021-5
[Short Paper] Fundamental study of automatic segmentation of skeletal muscle regions on whole body CT images based on a 3D DeepCNN

Kota Nozaki(Gifu Univ.),  Xiangong Zhou(Gifu Univ.),  Naoki Kamiya(Aichi Prefectual Univ.),  Takeshi Hara(Gifu Univ.),  Hiroshi Fujita(Gifu Univ.),  

[Date]2021-05-17
[Paper #]MI2021-7
[Short Paper] Watershed-based Alveoli Segmentation from Micro-focus X-ray CT Volumes of Dissected Human Lungs

Takeru Shiina(Nagoya Univ.),  Hirohisa Oda(Nagoya Univ.),  Tong Zheng(Nagoya Univ.),  Shota Nakamura(Nagoya Univ.),  Masahiro Oda(Nagoya Univ.),  Kensaku Mori(Nagoya Univ.),  

[Date]2021-05-17
[Paper #]MI2021-3
A Study of Automatic Kidney Tumor Segmentation with Deep Learning

Wuyang Zhao(Nagoya Univ),  Chen Shen(Nagoya Univ),  Masahiro Oda(Nagoya Univ),  Yuichiro Hayashi(Nagoya Univ),  Naoki Higashida(Keio Univ),  Masahiro Hashimoto(Keio Univ),  Masahiro Jinzaki(Keio Univ),  Kensaku Mori(Nagoya Univ),  

[Date]2021-05-17
[Paper #]MI2021-2