Results 221 to 230 of about 135,560 (273)

Novel Functional Materials via 3D Printing by Vat Photopolymerization

Advanced Functional Materials, EarlyView.
This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov, Patrick Fesser, Boris A. Bulgakov, Ulrich S. Schubert   +3 more
wiley   +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

Artificial Intelligence-Assisted Compressed Sensing Technique Accelerates Magnetic Resonance Imaging Simulation for Head and Neck Cancer Radiation Therapy. [PDF]

Adv Radiat Oncol
Zhou SH, Lin MS, Luo Y, He HQ, Wang SJ, Shang LT, Dong TY, Fan WJ, Chi F.   +8 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

Evaluation of Real-Time Cardiovascular Flow MRI Using Compressed Sensing in a Phantom and in Patients With Valvular Disease or Arrhythmia. [PDF]

J Magn Reson Imaging
Lala T, Christierson L, Frieberg P, Giese D, Kellman P, Hakacova N, Sjöberg P, Ostenfeld E, Töger J.   +8 more
europepmc   +1 more source

Accelerating brain T2-weighted imaging using artificial intelligence-assisted compressed sensing combined with deep learning-based reconstruction: a feasibility study at 5.0T MRI. [PDF]

BMC Med Imaging
Wen Y, Ma H, Xiang S, Feng Z, Guan C, Li X.   +5 more
europepmc   +1 more source

GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant Attention. [PDF]

IEEE Trans Comput Imaging
Janjušević N, Khalilian-Gourtani A, Flinker A, Feng L, Wang Y.   +4 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Kronecker Compressive Sensing

IEEE Transactions on Image Processing, 2012
Compressive sensing (CS) is an emerging approach for the acquisition of signals having a sparse or compressible representation in some basis. While the CS literature has mostly focused on problems involving 1-D signals and 2-D images, many important applications involve multidimensional signals; the construction of sparsifying bases and measurement ...
Marco F, Duarte, Richard G, Baraniuk
openaire   +2 more sources

Accelerating SENSE using compressed sensing

Magnetic Resonance in Medicine, 2009
AbstractBoth parallel MRI and compressed sensing (CS) are emerging techniques to accelerate conventional MRI by reducing the number of acquired data. The combination of parallel MRI and CS for further acceleration is of great interest. In this paper, we propose a novel method to combine sensitivity encoding (SENSE), one of the standard methods for ...
Dong, Liang, Bo, Liu, Jiunjie, Wang, Leslie, Ying   +3 more
openaire   +2 more sources