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institution

Aichi Cancer Center

Japan

7 papers here402 citations across 7
fields
  • cs.CV5
  • eess.IV2
ROR 03kfmm080OpenAlex

affiliations via OpenAlex

output
20172022
most citedAn application of cascaded 3D fully convolutional networks for medical image segmentation

332 citations

researchers with a paper here
  • K. Misawa7 · h 32
  • K. Mori7 · h 52
  • M. Oda7 · h 33
  • H. Roth5 · h 55
  • M. Fujiwara4 · h 54
  • N. Shimizu4 · h 5
  • T. Kitasaka4 · h 27
  • Y. Hayashi4 · h 22
  • H. Oda3 · h 13
  • Chen Shen2 · h 9
  • D. Rueckert2 · h 130
  • Kenichi Karasawa2 · h 5
collaborating institutions
  • Nagoya UniversityJP7 papers
  • Aichi Institute of TechnologyJP4 papers
  • Imperial College LondonGB2 papers
  • Gifu UniversityJP1 paper
  • Mita HospitalJP1 paper
  • Nagoya University HospitalJP1 paper
  • National Taiwan UniversityTW1 paper
  • National Taiwan University HospitalTW1 paper
  • National Yang Ming Chiao Tung UniversityTW1 paper
  • Nvidia (United States)US1 paper
Showing 2020Show all

2 papers · 1 filter

eess.IV2020★ 1 cited

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning

Pochuan Wang, Chen Shen, Holger R. Roth +9

The performance of deep learning-based methods strongly relies on the number of datasets used for training. Many efforts have been made to increase the data in the medical image an…

cs.CV2020★ 26 cited

Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation

Masahiro Oda, Natsuki Shimizu, Ken'ichi Karasawa +6

This paper proposes a fully automated atlas-based pancreas segmentation method from CT volumes utilizing atlas localization by regression forest and atlas generation using blood ve…

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