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Tohru Kamiya
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- affiliation: Kyushu Institute of Technology, Kitakyushu, Iizuka, Japan
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2020 – today
- 2024
- [j9]Yimei Chen, Yixin Wang, Baoquan Li, Tohru Kamiya:
Multi-robot navigation based on velocity obstacle prediction in dynamic crowded environments. Ind. Robot 51(4): 607-616 (2024) - [c12]Liheng Wang
, Guangxu Li
Optimization of Corneal Parameters in Refractive Surgery. ICCAI 2024: 144-148 - 2023
- [j8]Yadong Teng
Multidimensional Deformable Object Manipulation Based on DN-Transporter Networks. IEEE Trans. Intell. Transp. Syst. 24(4): 4532-4540 (2023) - [j7]Yujie Li
Pose Estimation of Point Sets Using Residual MLP in Intelligent Transportation Infrastructure. IEEE Trans. Intell. Transp. Syst. 24(11): 13359-13369 (2023) - [c11]Narumi Kihara
Facial Symmetry Analysis Using Temporal Change in Landmark from A Video Image of 3D Point Cloud. ICBBE 2023: 11-16 - [c10]Tianwen Wang
Res BCDU-SCB Net: A Lung CT Image Segmentation based on SC-BLSTM. ICBIP 2023: 42-46 - [c9]Guangxu Li
Volumetric choroidal segmentation using 3D residual U-Net. ICCAI 2023: 145-149 - [c8]Chunming Tang
Research on Semantic segmentation co-evolutionary method for Automated Driving Haze Images. ICCAI 2023: 157-163 - [c7]Yimei Chen
Research on adaptive formation control of mobile robot based on improved virtual spring method. ICCAI 2023: 775-780 - [e3]Huimin Lu, Michael Blumenstein, Sung-Bae Cho
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14406, Springer 2023, ISBN 978-3-031-47633-4 [contents] - [e2]Huimin Lu, Michael Blumenstein, Sung-Bae Cho
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14407, Springer 2023, ISBN 978-3-031-47636-5 [contents] - [e1]Huimin Lu, Michael Blumenstein, Sung-Bae Cho
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14408, Springer 2023, ISBN 978-3-031-47664-8 [contents] - 2022
- [j6]Jiaqi Wu
Segmentation of liver tumors in multiphase computed tomography images using hybrid method. Comput. Electr. Eng. 97: 107626 (2022) - [j5]Shoji Kido, Shunske Kidera, Yasushi Hirano, Shingo Mabu, Tohru Kamiya, Nobuyuki Tanaka, Yuki Suzuki, Yanagawa Masahiro
Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network. Frontiers Artif. Intell. 5: 782225 (2022) - [c6]Keisuke Hamamoto, Huimin Lu, Yujie Li, Tohru Kamiya, Yoshihisa Nakatoh, Seiichi Serikawa:
Grasp Position Estimation from Depth Image Using Stacked Hourglass Network Structure. COMPSAC 2022: 1188-1192 - 2021
- [j4]Tomoki Uemura, Janne J. Näppi
A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography. Int. J. Comput. Assist. Radiol. Surg. 16(1): 81-89 (2021) - [j3]Naoki Asatani, Tohru Kamiya, Shingo Mabu, Shoji Kido:
Classification of respiratory sounds using improved convolutional recurrent neural network. Comput. Electr. Eng. 94: 107367 (2021) - [j2]Tomoki Uemura, Janne J. Näppi
Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT. Medical Image Anal. 73: 102159 (2021) - [j1]Zhe Chen
Construction of a Hierarchical Feature Enhancement Network and Its Application in Fault Recognition. IEEE Trans. Ind. Informatics 17(7): 4827-4836 (2021) - [c5]Yuichiro Koizumi, Tohru Kamiya, Takatoshi Aoki, Shoji Kido:
Detection of Abnormal Opacity on Chest CT Images Using A 3D-CNN. ICBBE 2021: 26-29 - [c4]Guangxu Li, Xin Wang, Zhen Wang, Jiaqi Wu
Compare Derived U-Nets Using For Retinal Vessels Segmentation. ICBSP 2021: 1-8 - [c3]Tomoki Uemura, Janne J. Näppi, Chinatsu Watari, Tohru Kamiya, Hiroyuki Yoshida:
Unsupervised survival prediction model from CT images of patients with COVID-19. Medical Imaging: Computer-Aided Diagnosis 2021 - 2020
- [c2]Jiaxing Sun, Yujie Li, Huimin Lu, Tohru Kamiya, Seiichi Serikawa:
Deep Learning for Visual Segmentation: A Review. COMPSAC 2020: 1256-1260 - [c1]Koki Minami, Huimin Lu, Tohru Kamiya, Shingo Mabu, Shoji Kido:
Automatic Classification of Respiratory Sounds Based on Convolutional Neural Network with Multi Images. ICBSP 2020: 17-21
Coauthor Index
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