Concepedia

Takakazu Ide

TI

Statistics

Publications

2

Citations

123

H-Index

2

Active since

2018

Affiliations

Yale University(Current)

Takakazu Ide is an author at Yale University specializing in machine learning, medical imaging, and deep learning.

Top concepts

HealthRadiologyEngineeringDeep LearningImage AnalysisMedical ImagingMachine LearningFracture DiagnosticsMedical Image AnalysisMedical Image Computing

Publications per year

2018–2021

2

Publications

2

Signal and noise extraction from analog memory elements for neuromorphic computing

Nanbo Gong, Takakazu Ide, Seyoung Kim et al. · Nature Communications · 2018 · 107 citations · Full text

Detection of acute rib fractures on CT images with convolutional neural networks: effect of location and type of fracture and reader’s experience

Minako Azuma, Hiroshi Nakada, Mizuki Takei et al. · Emergency Radiology · 2021 · 16 citations

Convolutional Neural Network, Image Analysis, Machine Learning +14

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