Research output per year
Research output per year
Fingerprint
Dive into the research topics where Shoko Miyauchi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Isomorphic Mesh Generation from Point Clouds with Multilayer Perceptrons
Miyauchi, S., Morooka, K. & Kurazume, R., Feb 20 2024, (E-pub ahead of print) In: IEEE Transactions on Visualization and Computer Graphics. PPResearch output: Contribution to journal › Article › peer-review
-
Isomorphic Mesh Generation from Point Clouds with Multilayer Perceptrons
Miyauchi, S., Morooka, K. & Kurazume, R., 2024, (Accepted/In press) In: IEEE Transactions on Visualization and Computer Graphics. p. 1-18 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
The Kumagai Method Utilizing the Pigeon Bottle Feeder with a Long Nipple: A Descriptive Study for the Development of Feeding Techniques for Children with Cleft Lip and/or Palate
Ueki, S., Kumagai, Y., Hirai, Y., Nagatomo, E., Miyauchi, S., Inoue, T., An, Q. & Miyata, J., Mar 2024, In: Children. 11, 3, 365.Research output: Contribution to journal › Article › peer-review
Open Access -
FusionNet: A Frame Interpolation Network for 4D Heart Models
Chang, C., Miyauchi, S., Morooka, K., Kurazume, R. & Mozos, O. M., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Proceedings. Woo, J., Hering, A., Silva, W., Li, X., Fu, H., Liu, X., Xing, F., Purushotham, S., Mathai, T. S., Mukherjee, P., De Grauw, M., Beets Tan, R., Corbetta, V., Kotter, E., Reyes, M., Baumgartner, C. F., Li, Q., Leahy, R., Dong, B., Chen, H., Huo, Y., Lv, J., Xu, X., Li, X., Mahapatra, D., Cheng, L., Petitjean, C. & Presles, B. (eds.). Springer Science and Business Media Deutschland GmbH, p. 35-44 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14394 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Personalized Federated Learning for Institutional Prediction Model using Electronic Health Records: A Covariate Adjustment Approach
Tarumi, S., Suzuki, M., Yoshida, H., Miyauchi, S. & Kurazume, R., Jul 1 2023, In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2023, p. 1-4 4 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)