Results 261 to 270 of about 68,766 (311)

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

Evaluation of Low-dose Computed Tomography Images Reconstructed Using Artificial Intelligence-based Adaptive Filtering for Denoising: A Comparison with Computed Tomography Reconstructed with Iterative Reconstruction Algorithm. [PDF]

J Med Phys
Kulkarni S, Patil V, Nene A, Shetty N, Choudhari A, Joshi A, Pramesh CS, Baheti A, Mahadik K.   +8 more
europepmc   +1 more source

Allosteric Inhibition of Polycomb Repressive Complex 2 by an EZH2‐Selective Small Molecule Inhibitor

Advanced Science, EarlyView.
The study characterizes C36, a highly selective EZH2/PRC2 inhibitor that acts via a novel allosteric mechanism. Unlike previous inhibitors, C36 inhibits EZH2/PRC2 by disrupting the allosteric communication between EZH2 and EED in a SAM‐noncompetitive manner.
Ting Cao, Dongdong Liu, Haishan Gao, Chenyang Qin, Wen Zhang, Ziyun Lu, Dongxia Tan, Yuxiu Qu, Yusong Liu, Zhiran Zou, Hongtao Yu, Wei Qi   +11 more
wiley   +1 more source

Coronary CT angiography: First comparison of model-based and hybrid iterative reconstruction with the reference standard invasive catheter angiography for CAD-RADS reporting. [PDF]

Eur J Radiol Open
Matuleviciute-Stojanoska A, Sautier J, Bauer V, Nuessel M, Nizhnikava V, Stumpf C, Klink T.   +6 more
europepmc   +1 more source

Model-based iterative reconstruction for direct imaging with point spread function encoded echo planar MRI. [PDF]

Magn Reson Imaging
Meyer NK, In MH, Black DF, Campeau NG, Welker KM, Huston J, Halverson MA, Bernstein MA, Trzasko JD.   +8 more
europepmc   +1 more source

Image Quality and Lesion Detection of Multiplanar Reconstruction Images Using Deep Learning: Comparison with Hybrid Iterative Reconstruction. [PDF]

Yonago Acta Med
Yunaga H, Miyoshi H, Ochiai R, Gonda T, Sakoh T, Noma H, Fujii S.   +6 more
europepmc   +1 more source

Comparison of image quality between Deep learning image reconstruction and Iterative reconstruction technique for CT Brain- a pilot study. [PDF]

F1000Res
Chandran M O, Pendem S, P S P, Chacko C, Priyanka, Kadavigere R.   +5 more
europepmc   +1 more source

Deep learning reconstruction for high-resolution computed tomography images of the temporal bone: comparison with hybrid iterative reconstruction. [PDF]

Neuroradiology
Fujita N, Yasaka K, Hatano S, Sakamoto N, Kurokawa R, Abe O.   +5 more
europepmc   +1 more source

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Iterative reconstruction algorithms

Computers in Biology and Medicine, 1976
Abstract In this paper a survey of recent results on iterative reconstruction algorithms is given. These results, many of which have not yet appeared elsewhere, are applicable to a very general formulation of the reconstruction problem based on the series expansion approach.
Gabor T Herman, Arnold Lent
exaly   +3 more sources