◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Y. Otake

18 papers hereh-index 303k citations224 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author17
  • last author1

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • eess.IV6
  • physics.med-ph1
same name
  • Y. Otake — 10 papers, h 5
  • Y. Otake — 2 papers, h 16
  • Y. Otake — 2 papers, h 12
  • Y. Otake — 1 paper, h 1
  • Y. Otake — 1 paper, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedAutomatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration

81 citations · 189 across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

eess.IV2022

BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning

Yi Gu, Yoshito Otake, Keisuke Uemura +4

We propose a method for estimating the bone mineral density (BMD) from a plain x-ray image. Dual-energy X-ray absorptiometry (DXA) and quantitative computed tomography (QCT) provid…

eess.IV2022★ 2 cited

COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty

Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5

This paper proposes a segmentation method of infection regions in the lung from CT volumes of COVID-19 patients. COVID-19 spread worldwide, causing many infected patients and death…

eess.IV2022★ 7 cited

Lung infection and normal region segmentation from CT volumes of COVID-19 cases

Masahiro Oda, Yuichiro Hayashi, Yoshito Otake +3

This paper proposes an automated segmentation method of infection and normal regions in the lung from CT volumes of COVID-19 patients. From December 2019, novel coronavirus disease…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.