570 citations
- High Energy Accelerator Research OrganizationJP38 papers
- Niigata UniversityJP18 papers
- Hiroshima UniversityJP12 papers
- Tohoku UniversityJP10 papers
- RIKENJP9 papers
- The University of TokyoJP9 papers
- Deutsches Elektronen-Synchrotron DESYDE8 papers
- Juntendo University HospitalJP8 papers
- Stony Brook UniversityUS8 papers
- Institute of Particle and Nuclear Studies6 papers
- Japan Proton Accelerator Research ComplexJP6 papers
- Nagoya UniversityJP6 papers
102 papers
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,…
Two-loop quarkonium Hamiltonian in annihilation channel
Yukinari Sumino, Takahiro Ueda
We calculate the two-loop quarkonium Hamiltonian in the annihilation channel within the framework of potential-NRQCD effective field theory. The result agrees with the previous cal…
Five-loop beta function for gauge theories: computations, results and consequences
F. Herzog, B. Ruijl, T. Ueda +2
At the end of 2016, we computed the five-loop (NLO) contributions to the beta function in perturbative Quantum Chromodynamics (QCD), its generalization to non-Abelian gauge the…
Limited-angle SPECT image reconstruction using deep image prior
Kensuke Hori, Fumio Hashimoto, Kazuya Koyama +1
In SPECT image reconstruction, limited-angle (LA) conditions lead to a loss of frequency components, which distort the reconstructed tomographic image along directions correspondin…
Data Set Terminology of Deep Learning in Medicine: A Historical Review and Recommendation
Shannon L. Walston, Hiroshi Seki, Hirotaka Takita +7
Medicine and deep learning-based artificial intelligence (AI) engineering represent two distinct fields each with decades of published history. With such history comes a set of ter…