| Hepatic tumor classification using texture and topology analysis of non-contrast-enhanced three-dimensional T1-weighted MR images with a radiomics approach A Oyama, Y Hiraoka, I Obayashi, Y Saikawa, S Furui, K Shiraishi, ... Scientific reports 9 (1), 8764, 2019 | 85 | 2019 |
| Classification of optical coherence tomography images using a capsule network T Tsuji, Y Hirose, K Fujimori, T Hirose, A Oyama, Y Saikawa, T Mimura, ... BMC ophthalmology 20, 1-9, 2020 | 68 | 2020 |
| Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data H Seto, A Oyama, S Kitora, H Toki, R Yamamoto, J Kotoku, A Haga, ... Scientific reports 12 (1), 15889, 2022 | 31 | 2022 |
| Image quality improvement in cone-beam CT using the super-resolution technique A Oyama, S Kumagai, N Arai, T Takata, Y Saikawa, K Shiraishi, ... Journal of radiation research 59 (4), 501-510, 2018 | 25 | 2018 |
| A Machine Learning–Based Approach to Discrimination of Tauopathies Using [18F]PM‐PBB3 PET Images H Endo, K Tagai, M Ono, Y Ikoma, A Oyama, K Matsuoka, N Kokubo, ... Movement Disorders 37 (11), 2236-2246, 2022 | 12 | 2022 |
| Causal relations of health indices inferred statistically using the DirectLiNGAM algorithm from big data of Osaka prefecture health checkups J Kotoku, A Oyama, K Kitazumi, H Toki, A Haga, R Yamamoto, ... Plos one 15 (12), e0243229, 2020 | 12 | 2020 |
| First application of the super-resolution imaging technique using a Compton camera S Sato, J Kataoka, J Kotoku, M Taki, A Oyama, L Tagawa, K Fujieda, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2020 | 6 | 2020 |
| ビッグデータのデータサイエンス~ ニューノーマル時代のビッグデータ~: 招待論文: 2. 大阪府の特定健康診査データの因果探索 大山飛鳥， 古徳純一， 土岐博 情報処理 63 (2), d19-d47, 2022 | 3 | 2022 |
| Altered Brain Energy Metabolism Related to Astrocytes in Alzheimer's Disease K Hirata, K Matsuoka, K Tagai, H Endo, H Tatebe, M Ono, N Kokubo, ... Annals of Neurology 95 (1), 104-115, 2024 | 2 | 2024 |
| Author Correction: Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data H Seto, A Oyama, S Kitora, H Toki, R Yamamoto, J Kotoku, A Haga, ... Scientific Reports 12, 2022 | 2 | 2022 |
| High-statistics image generation from sparse radiation images by four types of machine-learning models S Sato, J Kataoka, J Kotoku, M Taki, A Oyama, L Tagawa, K Fujieda, ... Journal of Instrumentation 15 (10), P10026, 2020 | 2 | 2020 |
| Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups H Seto, H Toki, S Kitora, A Oyama, R Yamamoto Environmental Health and Preventive Medicine 29, 2-2, 2024 | 1 | 2024 |
| Variable-based Probablistic Calibration with Binary Outcome H Seto, S Kitora, A Oyama, H Toki, R Yamamoto, M Yamamoto | | 2024 |
| Development and Comparison of a Novel Mid‐Region Directed p‐Tau 181 Assay with Tau Positron Emission Tomography in Alzheimer’s Disease K Tagai, H Tatebe, S Matsuura, H Zhang, N Kokubo, K Matsuoka, H Endo, ... Alzheimer's & Dementia 19, e078621, 2023 | | 2023 |
| Involvement of differential tau pathologies in late‐onset bipolar disorder assessed by PET with 18F‐florzolotau S Kurose, K Takahata, Y Sano, K Tagai, M Ichihashi, H Endo, K Hirata, ... Alzheimer's & Dementia 19, e078062, 2023 | | 2023 |
| In Vivo Assessment of Astrocyte Reactivity in Patients with Progressive Supranuclear Palsy K Hirata, K Matsuoka, K Tagai, H Endo, H Tatebe, M Ono, N Kokubo, ... Annals of Neurology, 2023 | | 2023 |
| Development and Performance Assessment of a Novel Plasma p-Tau181 Assay Reflecting Tau Tangle Pathology in Alzheimer’s Disease K Tagai, H Tatebe, S Matsuura, Z Hong, N Kokubo, K Matsuoka, H Endo, ... medRxiv, 2023.09. 15.23295595, 2023 | | 2023 |
| Principal Component Analysis of Flow Field around Automobile Models under a Crosswind Condition T Nakashima, K Seo, T Hiraoka, T Nouzawa, K Shimizu, Y Nakamura, ... 한국전산유체공학회 학술대회논문집, 178-179, 2022 | | 2022 |
| Multi-Objective Shape Optimization for Vehicle Aerodynamics Performance Considering the Body Proportions G Hamada, K Shimizu, Y Nakamura, A Oyama, T Hiraoka, T Nakashima, ... 한국전산유체공학회 학술대회논문집, 180-181, 2022 | | 2022 |
| RELIABILITY OF THE PROBABILITIES OF THE DIABETES RISK IN LOGISTIC REGRESSION AND GRADIENT BOOSTING DECISION TREE METHODS USING BIG HEALTH CHECKUP DATA H Seto, A Oyama, S Kitora, H Toki, R Yamamoto DIABETES TECHNOLOGY & THERAPEUTICS 24, A225-A226, 2022 | | 2022 |
