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Image Interpretation, Computer-Assisted
Known as:
Interpretation, Computer-Assisted Image
, Interpretations, Computer-Assisted Image
, Image Interpretation, Computer Assisted
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Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease.
National Institutes of Health
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Hyperspectral Image Denoising via Matrix Factorization and Deep Prior Regularization
Baihong Lin
,
Xiaoming Tao
,
Jianhua Lu
IEEE Transactions on Image Processing
2020
Corpus ID: 198135236
Deep learning has been successfully introduced for 2D-image denoising, but it is still unsatisfactory for hyperspectral image…
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Highly Cited
2018
Highly Cited
2018
An unsupervised convolutional neural network-based algorithm for deformable image registration
V. Kearney
,
S. Haaf
,
A. Sudhyadhom
,
G. Valdes
,
T. Solberg
Physics in Medicine and Biology
2018
Corpus ID: 52004495
The purpose of the work is to develop a deep unsupervised learning strategy for cone-beam CT (CBCT) to CT deformable image…
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Highly Cited
2018
Highly Cited
2018
Exploiting Clustering Manifold Structure for Hyperspectral Imagery Super-Resolution
Lei Zhang
,
Wei Wei
,
Chengcheng Bai
,
Yifan Gao
,
Yanning Zhang
IEEE Transactions on Image Processing
2018
Corpus ID: 51907682
Fusing a low-resolution hyperspectral image (HSI) with a high-resolution (HR) conventional image into an HR HSI has become a…
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2016
2016
PV power plant inspection by image mosaicing techniques for IR real-time images
M. Aghaei
,
S. Leva
,
F. Grimaccia
Photovoltaic Specialists Conference
2016
Corpus ID: 28722466
Operation and maintenance play a crucial role for the performance of PV power plants. In this experimental paper a novel approach…
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2014
2014
Image simulation and a model of noise power spectra across a range of mammographic beam qualities.
Alistair Mackenzie
,
D. Dance
,
Oliver Díaz
,
K. Young
Medical Physics (Lancaster)
2014
Corpus ID: 44918527
PURPOSE The aim of this work is to create a model to predict the noise power spectra (NPS) for a range of mammographic…
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Highly Cited
2014
Highly Cited
2014
A Novel Secure Image Steganography Method Based on Chaos Theory in Spatial Domain
Debiprasad Bandyopadhyay
,
K. Dasgupta
,
Mandal J. K
,
P. Dutta
2014
Corpus ID: 51796008
This paper presents a novel approach of building a secure data hiding technique in digital images. The image steganography…
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2013
2013
Interpretation of Computed Tomography of the Head: Emergency Physicians versus Radiologists
Ali Arhami Dolatabadi
,
Alireza Baratloo
,
+5 authors
B. Hashemi
Trauma Monthly
2013
Corpus ID: 14117965
Background Many patients are brought to crowded emergency departments (ED) of hospitals every day for evaluation of head injuries…
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Highly Cited
2011
Highly Cited
2011
Added value of three‐/four‐dimensional ultrasound in offline analysis and diagnosis of congenital heart disease
S. Yagel
,
S. Cohen
,
+4 authors
D. Valsky
Ultrasound in Obstetrics and Gynecology
2011
Corpus ID: 46064883
Many published studies have shown that application of three‐dimensional (3D) and real‐time 3D (4D) ultrasound modalities can…
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Highly Cited
2007
Highly Cited
2007
Cine CT for Attenuation Correction in Cardiac PET/CT
A. Alessio
,
S. Kohlmyer
,
K. Branch
,
Grace P. Chen
,
J. Caldwell
,
Paul Kinahan
Journal of Nuclear Medicine
2007
Corpus ID: 38458705
In dual-modality PET/CT systems, the CT scan provides the attenuation map for PET attenuation correction. The current clinical…
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2007
2007
Two‐ and four‐dimensional echocardiography with B‐flow imaging and spatiotemporal image correlation in prenatal diagnosis of isolated total anomalous pulmonary venous connection
P. Volpe
,
G. Campobasso
,
+5 authors
M. Gentile
Ultrasound in Obstetrics and Gynecology
2007
Corpus ID: 29660098
To explore whether the use of four dimensional (4D) ultrasound examination with B‐flow imaging and spatiotemporal image…
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