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Jay S Stanley rd,Eric C Chi,Gal Mishne
Jay S Stanley rd
Graph signal processing (GSP) is an important methodology for studying data residing on irregular structures. As acquired data is increasingly taking the form of multi-way tensors, new signal processing tools are needed to maximally utilize...
Compressed Sensing: From Research to Clinical Practice with Deep Neural Networks [0.03%]
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Christopher M Sandino,Joseph Y Cheng,Feiyu Chen et al.
Christopher M Sandino et al.
Compressed sensing (CS) reconstruction methods leverage sparse structure in underlying signals to recover high-resolution images from highly undersampled measurements. When applied to magnetic resonance imaging (MRI), CS has the potential t...
Soheil Kolouri,Xuwang Yin,Gustavo K Rohde
Soheil Kolouri
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Tamir Bendory,Alberto Bartesaghi,Amit Singer
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In recent years, an abundance of new molecular structures have been elucidated using cryo-electron microscopy (cryo-EM), largely due to advances in hardware technology and data processing techniques. Owing to these new exciting developments...
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Jeffrey A Fessler
Jeffrey A Fessler
The development of compressed sensing methods for magnetic resonance (MR) image reconstruction led to an explosion of research on models and optimization algorithms for MR imaging (MRI). Roughly 10 years after such methods first appeared in...
Computational deglutition: Signal and image processing methods to understand swallowing and associated disorders [0.03%]
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Ervin Sejdić,Georgia A Malandraki,James L Coyle
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Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student Competition [0.03%]
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Arash Mohammadi,Parnian Afshar,Amir Asif et al.
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Emad S Ebbini,Claudio Simon,Dalong Liu
Emad S Ebbini
Optimal Mass Transport: Signal processing and machine-learning applications [0.03%]
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Soheil Kolouri,Serim Park,Matthew Thorpe et al.
Soheil Kolouri et al.
Transport-based techniques for signal and data analysis have received increased attention recently. Given their ability to provide accurate generative models for signal intensities and other data distributions, they have been used in a vari...