Results 261 to 270 of about 35,538 (312)

A Systematic Study of GelMA‐Carbopol Bioinks for High‐Fidelity Extrusion 3D Bioprinting at Physiological Temperatures

Advanced Healthcare Materials, EarlyView.
Gonzalez Martinez and collaborators develop a strategy to formulate high performance GelMA‐based bioinks with low solids contents. The resulting bioinks enable 3D bioprinting at 37 °C of high‐fidelity structures with tunable mechanical properties that support high cell viability and function.
David A. González‐Martínez, Aidee V. Arizpe Tafoya, Eduardo González‐Martínez, Mabel Barreiro Carpio, Laura Daniela Serrano Andrade, Christopher T. N. Chow, Mohammadhossein Dabaghi, Jeremy A. Hirota, Jose M. Moran‐Mirabal   +8 more
wiley   +1 more source

Automated sparse feature selection in high-dimensional proteomics data via 1-bit compressed sensing and K-Medoids clustering. [PDF]

BMC Bioinformatics
Wen F, Su Y, Liu D, Wang Y, Liu M.
europepmc   +1 more source

Application of AI-assisted compressed sensing in high resolution Gd-EOB-DTPA-enhanced MRI during hepatobiliary phase at 5.0 T. [PDF]

Quant Imaging Med Surg
Li S, Liu C, Yuan S, Tang R, Song X, Xie Y, Yin D, Deng K, Liu L, Liu Y.   +9 more
europepmc   +1 more source

Compressed Sensing of Vibration Signal for Fault Diagnosis of Bearings, Gears, and Propellers Under Speed Variation Conditions. [PDF]

Sensors (Basel)
Kato Y, Otaka M.
europepmc   +1 more source

Retrospective temporal resolution interpolation alters myocardial strain quantification on compressed sensing cine CMR. [PDF]

Int J Cardiovasc Imaging
Grob L, Schwerzmann Y, Kaiser D, Jung B, Schweizer T, Huettenmoser SP, Dozio S, Huber AT, Boscolo Berto M, Gräni C, Guensch DP, Fischer K.   +11 more
europepmc   +1 more source

Comparative evaluation of four reconstruction techniques for prostate T2-weighted MRI: Sensitivity encoding, compressed sensing, deep learning, and super-resolution. [PDF]

Eur J Radiol Open
Nishioka N, Fujima N, Tsuneta S, Kato D, Kamiishi T, Yoshikawa M, Kimura R, Sakamoto K, Matsumoto R, Abe T, Kwon J, Yoneyama M, Kudo K.   +12 more
europepmc   +1 more source

Optimization of the acceleration of compressed sensing in whole-heart contrast-free coronary magnetic resonance angiography. [PDF]

J Cardiovasc Magn Reson
Wang W, Zhang L, Su G, Xiong F, Wu Y, Yu K, Yi Q, Sun P.   +7 more
europepmc   +1 more source

Energy-Efficient Sensing in Wireless Sensor Networks Using Compressed Sensing [PDF]

Sensors, 2014
Sensing of the application environment is the main purpose of a wireless sensor network. Most existing energy management strategies and compression techniques assume that the sensing operation consumes significantly less energy than radio transmission ...
Simon Dobson, Dobson Simon
exaly   +3 more sources

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Compressive sensing: To compress or not to compress

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011
In this paper, we consider the compressive sensing scheme from the information theory point of view and derive the lower bound of the probability of error for CS when length N of the information vector is large. The result has been shown that, for an i.i.d.
Davis Kirachaiwanich, Qilian Liang
openaire   +1 more source

Compressed sensing of compressible signals

2017 IEEE International Symposium on Information Theory (ISIT), 2017
A novel low-complexity robust-to-noise iterative algorithm named compression-based gradient descent (C-GD) algorithm is proposed. C-GD is a generic compressed sensing recovery algorithm, that at its core, employs compression codes, such as JPEG2000 and MPEG4.
Sajjad Beygi, Shirin Jalali, Arian Maleki, Urbashi Mitra   +3 more
openaire   +1 more source