Concepedia

CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network

Sang Min Lee, June‐Goo Lee, Gaeun Lee, Jooae Choe, Kyung‐Hyun Do, Namkug Kim, Joon Beom Seo

Korean Journal of Radiology · 2019 · 53 citations · 14 references

DOIFull text

Open access

Abstract

CNN-based CT kernel conversion shows adequate performance with high accuracy and speed, indicating its potential clinical use.

References

14

STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

J Martin Bland, DouglasG. Altman · The Lancet · 1986 · 47K citations

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Accurate Image Super-Resolution Using Very Deep Convolutional Networks

Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee · 2016 · 7.4K citations

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Chronic Obstructive Pulmonary Disease Exacerbations in the COPDGene Study: Associated Radiologic Phenotypes

MeiLan K. Han, Ella A. Kazerooni, David A. Lynch et al. · Radiology · 2011 · 446 citations · Full text

Relationships Between Airflow Obstruction and Quantitative CT Measurements of Emphysema, Air Trapping, and Airways in Subjects With and Without Chronic Obstructive Pulmonary Disease

Joyce Schroeder, Alexander S. McKenzie, Jordan Zach et al. · American Journal of Roentgenology · 2013 · 327 citations · Full text

CT Scan Findings of Emphysema Predict Mortality in COPD

Akane Haruna, Shigeo Muro, Yasutaka Nakano et al. · CHEST Journal · 2010 · 264 citations

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