Hamamoto, Ryuji

Overexpression of LSD1 contributes to human carcinogenesis through chromatin regulation in various cancers

Hayami, S., Kelly, J. D., Cho, H., Yoshimatsu, M., Unoki, M., Tsunoda, T., Field, H. I., Neal, D. E., Yamaue, H., Ponder, B. A. J., et al. (2011) · International Journal of Cancer

Epigenetics and DNA MethylationCancer-related gene regulation

Cited by 489

Critical roles of non-histone protein lysine methylation in human tumorigenesis

Hamamoto, R., Saloura, V., & Nakamura, Y. (2015) · Nature Reviews Cancer

Cancer-related gene regulationEpigenetics and DNA Methylation

Cited by 376

Application of artificial intelligence technology in oncology: towards the establishment of precision medicine

Hamamoto, R., Suvarna, K., Yamada, M., Kobayashi, K., Shinkai, N., Miyake, M., Takahashi, M., Jinnai, S., Shimoyama, R., Sakai, A., et al. (2020) · Cancers

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 207

Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information

Dozen, A., Komatsu, M., Sakai, A., Komatsu, R., Shozu, K., Machino, H., Yasutomi, S., Arakaki, T., Asada, K., Kaneko, S., et al. (2020) · Biomolecules

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 79

Medical Professional Enhancement Using Explainable Artificial Intelligence in Fetal Cardiac Ultrasound Screening

Sakai, A., Komatsu, M., Komatsu, R., Matsuoka, R., Yasutomi, S., Dozen, A., Shozu, K., Arakaki, T., Machino, H., Asada, K., et al. (2022) · Biomedicines

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 68

Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer

Asada, K., Kobayashi, K., Joutard, S., Tubaki, M., Takahashi, S., Takasawa, K., Komatsu, M., Kaneko, S., Sese, J., & Hamamoto, R. (2020) · Biomolecules

Lung Cancer Research StudiesGene expression and cancer classification

Cited by 67

Model-Agnostic Method for Thoracic Wall Segmentation in Fetal Ultrasound Videos

Shozu, K., Komatsu, M., Sakai, A., Komatsu, R., Dozen, A., Machino, H., Yasutomi, S., Arakaki, T., Asada, K., Kaneko, S., et al. (2020) · Biomolecules

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 38

Implementing Generative Artificial Intelligence in Precision Oncology: Safety, Governance, and Significance

Hamamoto, R., Koyama, T., Takahashi, S., Yasuda, T., Kobayashi, K., Akagi, Y., Kouno, N., Sudo, K., Hirata, M., Sunami, K., et al. (2026) · Journal of Hematology & Oncology

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 8