Carpal Tunnel Syndrome Diagnosis: A Narrative Review of Complementary Roles of Neuromuscular Ultrasound and Electrodiagnostic Studies. [PDF]
Dong Y, Zhuang Y, Li L, Li Y, Dai H.
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Troubleshooting technique in endovascular abdominal aortic aneurysm repair with the ALTO endograft. [PDF]
Papadoulas S +6 more
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From Strain Ratio to Shear-Wave Elastography: Evolving Role of EUS in Liver Fibrosis Assessment. [PDF]
Kaldirim Armutcuoglu Y, Turan Gokce D.
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Lemmel syndrome: A single-center cohort and diagnostic considerations. [PDF]
Ergüder E +4 more
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Communication Compression for Decentralized Learning With Operator Splitting Methods [PDF]
In decentralized learning, operator splitting methods using a primal-dual formulation (e.g., Edge-Consensus Learning (ECL)) have been shown to be robust to heterogeneous data and have attracted significant attention in recent years.
Yuki Takezawa +2 more
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Sparse operator compression of higher-order elliptic operators with rough coefficients [PDF]
We introduce the sparse operator compression to compress a self-adjoint higher-order elliptic operator with rough coefficients and various boundary conditions.
Thomas Y Hou +2 more
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Spatio-temporal constrained tone mapping operator for HDR video compression
International audienceWith the growing popularity of high dynamic range (HDR) imaging, efficient compression techniques are demanded, as HDR video entails typically higher raw data rate than traditional video.
Çagri Ozcinar +2 more
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Image compression by morphological operators
IEEE International Geoscience and Remote Sensing Symposium, 2003Image compression techniques generally rely on the results of information theory. A decorrelation of the signal followed by quantization and entropy coding of the information to transmit achieves image compression. Mathematical morphology can be considered a shape-oriented approach to signal processing and some of its features are useful for ...
Ramesh B. Inampudi +2 more
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Operators over Compressed Integer Encodings
2010 XXIX International Conference of the Chilean Computer Science Society, 2010Compact representation of integer values is a key feature for data compression. A compressed representation allows us to store more integers within less space, and therefore, to work in faster hierarchies of memory. Adaptive searching yields to compressed representations of integers.
Carlos Bedregal Lizarraga +1 more
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