( en | de | ru )

 

Disambiguation of "Aoki, Shin"

Author of the publication

copydeleteadd this publication to your clipboard
Regularized polygonal approximation for analysis and interpretation of planar contour figures.

, and . ICPR (1), page 865-869. IEEE, (1990)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Takako Aoki

Yohko Aoki

Dong-Shin Shin

Jeonghun Shin

Kirche als Weltforum: zum Dialogverständnis in kirchlichen Dokumenten seit dem Zweiten Vatikanischen Konzil. Uni München, (2009)

Hyeseon Shin

 

Other publications of authors with the same name

Ranking Methods of Candidates for p53 Inhibitors Considering Cytotoxicity Using Machine Learning., , , and . BCB, page 521. ACM, (2018)CTCs extraction method based on frequency-domain filtering from microscope images., , , , and . SPA, page 186-191. IEEE, (2019)Circulating Tumor Cells Detection by Brightness Values Analysis and Circularity., , , , , and . ICFSP, page 1-5. IEEE, (2022)Regression Models and Ranking Method for p53 Inhibitor Candidates Using Machine Learning., , , and . BIBM, page 708-712. IEEE Computer Society, (2018)ILP based screening applied to predicting carbonic anhydrase II ligands., , , , , and . BIBM, page 883-888. IEEE Computer Society, (2015)Desktop 2D/3D image capturing system using a digital camera., , , , and . Three-Dimensional Image Capture and Applications, volume 4661 of SPIE Proceedings, page 1-8. SPIE, (2002)Regularized polygonal approximation for analysis and interpretation of planar contour figures., and . ICPR (1), page 865-869. IEEE, (1990)Detection of Circulating Tumor Cells in Blood Using Random Forest., , , , , and . ICEIC, page 1-4. IEEE, (2024)Predicting radiation protection and toxicity of p53 targeting radioprotectors using machine learning., , and . CIBCB, page 1-6. IEEE, (2017)Prediction of radioprotectors targeting p53 for suppression of acute effect of cancer radiotherapy using machine learning., , , , , and . BIBM, page 1725-1727. IEEE Computer Society, (2015)