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Fingerprint Dive into the research topics where Kai Morino is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Androgens Medicine & Life Sciences
oscillators Physics & Astronomy
Prostatic Neoplasms Medicine & Life Sciences
Robustness Mathematics
Biological Networks Mathematics
Dynamic Behavior Mathematics
Prostate Cancer Mathematics
Nonlinear Dynamics Medicine & Life Sciences

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Research Output 2009 2018

  • 12 Article
  • 5 Conference contribution
  • 1 Chapter
  • 1 Review article

Bifurcation mechanism for emergence of spontaneous oscillations in coupled heterogeneous excitable units

Morino, K., Tanaka, G. & Aihara, K., Nov 9 2018, In : Physical Review E. 98, 5, 052210.

Research output: Contribution to journalArticle

Bifurcation
Oscillation
oscillations
Unit
Biological Systems

Personalizing androgen suppression for prostate cancer using mathematical modeling

Hirata, Y., Morino, K., Akakura, K., Higano, C. S. & Aihara, K., Dec 1 2018, In : Scientific reports. 8, 1, 2673.

Research output: Contribution to journalArticle

Open Access
Androgens
Prostatic Neoplasms
Prostate-Specific Antigen
Appointments and Schedules
Therapeutics

Multi-view learning over retinal thickness and visual sensitivity on glaucomatous eyes

Uesaka, T., Morino, K., Sugiura, H., Kiwaki, T., Murata, H., Asaoka, R. & Yamanishi, K., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2041-2050 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
Neural networks
Optical tomography
Personnel

Predicting glaucomatous progression with piecewise regression model from heterogeneous medical data

Tomoda, K., Morino, K., Murata, H., Asaoka, R. & Yamanishi, K., Jan 1 2016, HEALTHINF 2016 - 9th International Conference on Health Informatics, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016. Azhari, H., Ali, H., Fred, A., Gilbert, J., Ruiz, C., Sliwa, J., Quintao, C. & Gamboa, H. (eds.). SciTePress, p. 93-104 12 p. (HEALTHINF 2016 - 9th International Conference on Health Informatics, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Linear regression
Time series

System identification and parameter estimation in mathematical medicine: examples demonstrated for prostate cancer

Hirata, Y., Morino, K., Suzuki, T., Guo, Q., Fukuhara, H. & Aihara, K., Mar 1 2016, In : Quantitative Biology. 4, 1, p. 13-19 7 p.

Research output: Contribution to journalReview article

Open Access
Prostate Cancer
Biomarkers
System Identification
Parameter estimation
Medicine