( en | de | ru )

 

Disambiguation of "Uemura, Makoto"

Author of the publication

copydeleteadd this publication to your clipboard
Compton camera imaging.

, , , , , and . ICST, page 674-677. IEEE, (2013)

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.

Kenji Uemura

Makoto Yamamoto

Makoto Nakamura

Makoto Arai

Makoto Ida

 

Other publications of authors with the same name

The Accreting Black Hole Swift J1753.5-0127 from Radio to Hard X-Ray, , , , , , , , , and 12 other author(s). (Jun 22, 2015)Compton camera imaging., , , , , and . ICST, page 674-677. IEEE, (2013)TimeTubesX: A Query-Driven Visual Exploration of Observable, Photometric, and Polarimetric Behaviors of Blazars., , , , and . IEEE Trans. Vis. Comput. Graph., 28 (4): 1917-1929 (2022)aflak: Pluggable Visual Programming Environment with Quick Feedback Loop Tuned for Multi-Spectral Astrophysical Observations., , , , , , and . SciVis, page 72-76. IEEE, (2018)Accurate Visualization of Galaxy Velocity Fields from Three-Dimensional Integral Field Spectroscopy Data., , , , , , and . EuroVis (Posters), page 37-39. Eurographics Association, (2020)Making many-to-many parallel coordinate plots scalable by asymmetric biclustering., , , , , and . PacificVis, page 305-309. IEEE Computer Society, (2017)TimeTubes: visual fusion and validation for ameliorating uncertainties of blazar datasets from different observatories., , , , and . CGI, page 14:1-14:6. ACM, (2017)Particle-Based Transparent Visualization of 3D Inner Structure of Funeboko in Gion Festival., , , , and . Culture and Computing, page 193-194. IEEE Computer Society, (2011)TimeTubes: Automatic Extraction of Observable Blazar Features from Long-Term, Multi-Dimensional Datasets., , , and . SciVis, page 67-71. IEEE, (2018)aflak: Visual programming environment enabling end-to-end provenance management for the analysis of astronomical datasets., , , , , , and . Vis. Informatics, 3 (1): 1-8 (2019)