Masanori Nakayama

13 papers C 6Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Complex relationship among vessel diameter, shear stress and blood pressure controlling vessel pruning during angiogenesis.
PLoS Comput. Biol.
Vivek Kumar, Yosuke Hasegawa, Prashant Kumar, Takao Hikita, Mingqian Ding, Yukinori Kametani, Masanori Nakayama
2023 J jnl
HYDRO: Optimizing interactive hybrid images for digital signage content.
Virtual Real. Intell. Hardw.
Masanori Nakayama, Karin Uchino, Ken Nagao, Issei Fujishiro
2023 J jnl
Visual simulation of crack and bend generation in deteriorated films coated on metal objects: Combination of static fracture and position-based deformation.
Vis. Comput.
Akinori Ishitobi, Masanori Nakayama, Issei Fujishiro
2021 J jnl
Numerical evaluation reveals the effect of branching morphology on vessel transport properties during angiogenesis.
PLoS Comput. Biol.
Fatemeh Mirzapour-Shafiyi, Yukinori Kametani, Takao Hikita, Yosuke Hasegawa, Masanori Nakayama
2021 C conf
THEMIS: Context-Sensitive Similarity Analysis for Wound Imagery Using Mathematical Model of Meaning.
CW
Yume Asayama, Baoqing Wang, Masanori Nakayama, Hideki Shohjoh, Noboru Adachi, Yasushi Kiyoki, Issei Fujishiro
2020 J jnl
An Immersive Virtual Environment for Visualization of Complex and/or Infinitely Distant Territory.
Trans. Comput. Sci.
Atsushi Miyazawa, Masanori Nakayama, Issei Fujishiro
2020 C conf
Automatic Generation of 3D Natural Anime-like Non-Player Characters with Machine Learning.
CW
Ruizhe Li, Masanori Nakayama, Issei Fujishiro
2020 J jnl
Visual simulation of weathering coated metallic objects.
Vis. Comput.
Akinori Ishitobi, Masanori Nakayama, Issei Fujishiro
2019 C conf
A Deformation Method for Simulating Coating Degradation While Taking Mechanical Behavior into Account.
CW
Akinori Ishitobi, Masanori Nakayama, Issei Fujishiro
2018 C conf
A Figurative and Non-topological Approach to Mathematical Visualization.
CW
Atsushi Miyazawa, Masanori Nakayama, Issei Fujishiro
2018 — conf
TimeTubes: Automatic Extraction of Observable Blazar Features from Long-Term, Multi-Dimensional Datasets.
SciVis
Naoko Sawada, Masanori Nakayama, Makoto Uemura, Issei Fujishiro
2017 C conf
TimeTubes: visual fusion and validation for ameliorating uncertainties of blazar datasets from different observatories.
CGI
Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Makoto Uemura, Issei Fujishiro
2015 C conf
SeeGroove: Supporting Groove Learning through Visualization.
CW
Issei Fujishiro, Naoki Haga, Masanori Nakayama