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Automatic multi-organ segmentation in dual-energy CT (DECT) with dedicated 3D fully convolutional DECT networks [PDF]

Medical Physics, 2020
Purpose Dual‐energy computed tomography (DECT) has shown great potential in many clinical applications. By incorporating the information from two different energy spectra, DECT provides higher contrast and reveals more material differences of tissues ...
Michael M Lell, Xia Zhong, Andreas Maier
exaly   +2 more sources

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CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction

IEEE Transactions on Computational Imaging, 2021
Yikun Zhang
exaly  

Feasibility of half the recommended dose of IV contrast in DECT: image quality evaluation and diagnostic acceptability in cancer patients

Clinical Imaging, 2022
Mohammed Saleh, Priya Bhosale, Bilal Mujtaba   +2 more
exaly  

Gout of ankle and foot: DECT versus US for crystal detection

Clinical Rheumatology, 2020
Bin Zhang, Mingfeng Yang
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Computed tomography in rheumatology – From DECT to high-resolution peripheral quantitative CT

Best Practice and Research in Clinical Rheumatology, 2020
Girish Gandikota, Stephanie Finzel
exaly  

SPEAR-Net: Self-Prior Enhanced Artifact Removal Network for Limited-Angle DECT

IEEE Transactions on Instrumentation and Measurement, 2023
Xu Ji, Jean Louis Coatrieux, Hui Tang
exaly  

Comparison of image quality and radiation doses between rapid kV-switching and dual-source DECT techniques in the chest

European Journal of Radiology, 2019
Ramandeep Singh, Ramandeep Singh
exaly  

Gout tophus detection—A comparison of dual-energy CT (DECT) and histology

Seminars in Arthritis and Rheumatism, 2014
Chantal Pauli
exaly  

Improved Cryptanalysis of the DECT Standard Cipher

Lecture Notes in Computer Science, 2015
Iwen Coisel
exaly