Whole-Brain Imaging with Single-Cell Resolution Using Chemical Cocktails and Computational Analysis
2014 · Cell · 1,337 citations
https://doi.org/10.1016/j.cell.2014.03.042
H
Hideo Yokota
RIKEN(JP)
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Hideo Yokota is an academic researcher from RIKEN. The author has contributed to research in topics: Cell Image Analysis Techniques & 3D Printing in Biomedical Research & Image Processing Techniques and Applications. The author has an h-index of 29, co-authored 317 publications.
ORCID: 0000-0003-1395-309XPapers by this author
worksOptical Coherence Tomography-Based Deep-Learning Models for Classifying Normal and Age-Related Macular Degeneration and Exudative and Non-Exudative Age-Related Macular Degeneration Changes
2019 · Ophthalmology and Therapy · 116 citations
https://doi.org/10.1007/s40123-019-00207-y
Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images
2021 · Scientific Reports · 69 citations
https://doi.org/10.1038/s41598-021-83503-7
Artificial oxygen carriers rescue placental hypoxia and improve fetal development in the rat pre-eclampsia model
2015 · Scientific Reports · 46 citations
https://doi.org/10.1038/srep15271
Distinction of surgically resected gastrointestinal stromal tumor by near-infrared hyperspectral imaging
2020 · Scientific Reports · 41 citations
https://doi.org/10.1038/s41598-020-79021-7
Prediction of binding characteristics between von Willebrand factor and platelet glycoprotein Ibα with various mutations by molecular dynamic simulation
2019 · Thrombosis Research · 11 citations
https://doi.org/10.1016/j.thromres.2019.10.022
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