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Radiological Physics and Technology
This study aimed to compare the relationship between the quantitative values and visual score of acquired images using the CS-SENSE method. T1-weighted image (T1WI) and T2-weighted image (T2WI) were acquired using a phantom created by a 3D printer.
Norikazu Koori +12 more
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This study aimed to compare the relationship between the quantitative values and visual score of acquired images using the CS-SENSE method. T1-weighted image (T1WI) and T2-weighted image (T2WI) were acquired using a phantom created by a 3D printer.
Norikazu Koori +12 more
openaire +2 more sources
Deep Seismic CS: A Deep Learning Assisted Compressive Sensing for Seismic Data
IEEE Transactions on Geoscience and Remote Sensing, 2023Naveed Iqbal 0001 +3 more
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Compressive Sensing (CS) on Wireless Sensor Network for Manufacturing Process Monitoring
2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP), 2023Muhammad Chaerullah +2 more
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CS-PMD: A Compressive Sensing ToF Camera based on the Photonic Mixer Device
2017In this chapter we present a prototype of a CS-oriented ToF camera based on the PMD. The main goal of the prototype, which has been fully developed at the ZESS, is to serve as a platform where to implement the concepts of CS and sparse recovery in spatial and frequency domains presented in Section 4.4 and Section 4.5, respectively.
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ASAUN-CS: Adaptive Stage Activated Unfolding Network for Compressive Sensing
2024 IEEE International Symposium on Circuits and Systems (ISCAS)Jian Yang +4 more
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An effective image encryption algorithm based on compressive sensing and 2D-SLIM
Optics and Lasers in Engineering, 2020Shaobo He, Congxu Zhu, Kehui Sun
exaly
Sparse Signal Representation, Sampling, and Recovery in Compressive Sensing Frameworks
IEEE Access, 2022Jaroslav Frnda +2 more
exaly
Compressive light transport sensing
ACM Transactions on Graphics, 2009Paul Debevec, Abhijeet Ghosh
exaly

