From the 3 of 30 papers with an AI index.
5 citations
- Nagoya UniversityJP6 papers
- The University of TokyoJP6 papers
- Institute of Science Tokyo5 papers
- Hiroshima UniversityJP4 papers
- Tohoku UniversityJP3 papers
- Tokyo University of ScienceJP3 papers
- British Columbia Institute of TechnologyCA2 papers
- California State University SystemUS2 papers
- Chonnam National University HospitalKR2 papers
- Duke UniversityUS2 papers
- Gifu UniversityJP2 papers
- Gwangju Institute of Science and TechnologyKR2 papers
3 papers · 1 filter
Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer
Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5
This paper proposes an automated classification method of COVID-19 chest CT volumes using improved 3D MLP-Mixer. Novel coronavirus disease 2019 (COVID-19) spreads over the world, c…
Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes
Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5
This paper proposes an automated classification method of chest CT volumes based on likelihood of COVID-19 cases. Novel coronavirus disease 2019 (COVID-19) spreads over the world,…
Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals
Shuntaro Suzuki, Shunya Nagashima, Komei Sugiura
The paper introduces Cortical-SSM, a deep state space model that decodes motor imagery EEG signals by integrating temporal, spatial, and frequency information, achieving higher acc…