| Application of artificial intelligence technology in oncology: Towards the establishment of precision medicine R Hamamoto, K Suvarna, M Yamada, K Kobayashi, N Shinkai, M Miyake, ... Cancers 12 (12), 3532, 2020 | 201 | 2020 |
| Predicting deep learning based multi-omics parallel integration survival subtypes in lung cancer using reverse phase protein array data S Takahashi, K Asada, K Takasawa, R Shimoyama, A Sakai, A Bolatkan, ... Biomolecules 10 (10), 1460, 2020 | 62 | 2020 |
| Fully-connected neural networks with reduced parameterization for predicting histological types of lung cancer from somatic mutations K Kobayashi, A Bolatkan, S Shiina, R Hamamoto Biomolecules 10 (9), 1249, 2020 | 39 | 2020 |
| Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine R Hamamoto, K Takasawa, H Machino, K Kobayashi, S Takahashi, ... Briefings in bioinformatics 23 (4), bbac246, 2022 | 33 | 2022 |
| Application of artificial intelligence in COVID-19 diagnosis and therapeutics K Asada, M Komatsu, R Shimoyama, K Takasawa, N Shinkai, A Sakai, ... Journal of Personalized Medicine 11 (9), 886, 2021 | 33 | 2021 |
| Deregulation of the histone lysine-specific demethylase 1 is involved in human hepatocellular carcinoma S Kim, A Bolatkan, S Kaneko, N Ikawa, K Asada, M Komatsu, S Hayami, ... Biomolecules 9 (12), 810, 2019 | 29 | 2019 |
| Single-cell analysis using machine learning techniques and its application to medical research K Asada, K Takasawa, H Machino, S Takahashi, N Shinkai, A Bolatkan, ... Biomedicines 9 (11), 1513, 2021 | 25 | 2021 |
| Downregulation of METTL6 mitigates cell progression, migration, invasion and adhesion in hepatocellular carcinoma by inhibiting cell adhesion molecules A Bolatkan, K Asada, S Kaneko, K Suvarna, N Ikawa, H Machino, ... International journal of oncology 60 (1), 4, 2021 | 23 | 2021 |
| Critical Roles of N6-Methyladenosine (m6A) in Cancer and Virus Infection K Asada, A Bolatkan, K Takasawa, M Komatsu, S Kaneko, R Hamamoto Biomolecules 10 (7), 1071, 2020 | 18 | 2020 |
| Epigenetic mechanisms underlying COVID-19 pathogenesis S Kaneko, K Takasawa, K Asada, N Shinkai, A Bolatkan, M Yamada, ... Biomedicines 9 (9), 1142, 2021 | 14 | 2021 |
| Comparison of vision transformers and convolutional neural networks in medical image analysis: a systematic review S Takahashi, Y Sakaguchi, N Kouno, K Takasawa, K Ishizu, Y Akagi, ... Journal of Medical Systems 48 (1), 84, 2024 | 12 | 2024 |
| Sketch-based medical image retrieval K Kobayashi, L Gu, R Hataya, T Mizuno, M Miyake, H Watanabe, ... arXiv preprint arXiv:2303.03633, 2023 | 9 | 2023 |
| Sketch-based semantic retrieval of medical images K Kobayashi, L Gu, R Hataya, T Mizuno, M Miyake, H Watanabe, ... Medical Image Analysis 92, 103060, 2024 | 7 | 2024 |
| Unsupervised brain abnormality detection using high fidelity image reconstruction networks K Kobayashi, R Hataya, Y Kurose, A Bolatkan, M Miyake, H Watanabe, ... arXiv: 2005.12573, 2020 | 5 | 2020 |
| Predicting deep learning based multi-omics parallel integration survival subtypes in lung cancer using reverse phase protein array data. Biomolecules 2020; 10 S Takahashi, K Asada, K Takasawa, R Shimoyama, A Sakai, A Bolatkan, ... | 5 | |
| Mechanism of ERBB2 gene overexpression by the formation of super-enhancer with genomic structural abnormalities in lung adenocarcinoma without clinically actionable genetic … S Kaneko, K Takasawa, K Asada, K Shiraishi, N Ikawa, H Machino, ... Molecular Cancer 23 (1), 1-17, 2024 | 2 | 2024 |
| Multi-omics and clustering analyses reveal the mechanisms underlying unmet needs for patients with lung adenocarcinoma and identify potential therapeutic targets K Asada, S Kaneko, K Takasawa, K Shiraishi, N Shinkai, Y Shimada, ... Molecular Cancer 23 (1), 182, 2024 | 2 | 2024 |
| Learning global and local features of normal brain anatomy for unsupervised abnormality detection K Kobayashi, R Hataya, Y Kurose, A Bolatkan, M Miyake, H Watanabe, ... arXiv preprint arXiv:2005.12573, 2020 | 2 | 2020 |
| Identifying a novel alternative promoter usage in HDAC9: Implications for LUAD prognosis and therapy A Bolatkan, K Asada, S Kaneko, M Komatsu, R Hamamoto Cancer Research 84 (6_Supplement), 1712-1712, 2024 | | 2024 |
| Predicting Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Machine Learning Techniques S Takahashi, K Asada, K Takasawa, R Shimoyama, A Sakai, A Bolatkan, ... CANCER SCIENCE 113, 874-874, 2022 | | 2022 |
Ryuji HamamotoDivision Chief of Medical AI Research and Development, NCCRIVerified email at ncc.go.jp