Results 191 to 200 of about 264,517 (319)

Explicit Compression Degradation Estimations for Low‐Sampling Single‐Pixel Imaging using Hadamard Basis

Advanced Science, EarlyView.
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang, Jie Cao, Chang Zhou, Haifeng Yao, Qun Hao   +4 more
wiley   +1 more source

Model-based iterative reconstruction with adaptive regularization for artifact reduction in electron tomography. [PDF]

Sci Rep
Venkatakrishnan S, Rahman O, Amichi L, Arregui-Mena JD, Yu H, Cullen DA, Ziabari A.   +6 more
europepmc   +1 more source

Iterative reconstruction (CT)

, 2017
Andrew Murphy, Lachlan McKay, Joachim Feger   +2 more
openaire   +1 more source

Image Fusion for Super‐Resolution Mass Spectrometry Imaging of Plant Tissue

Advanced Science, EarlyView.
A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Yuchen Zou, Shipeng Sun, Weiwei Tang, Bin Li   +3 more
wiley   +1 more source

Feasibility study of "double-low" scanning protocol combined with artificial intelligence iterative reconstruction algorithm for abdominal computed tomography enhancement in patients with obesity. [PDF]

BMC Med Imaging
Ji MT, Wang RR, Wang Q, Li HS, Zhao YX.
europepmc   +1 more source

Filtered back projection vs. iterative reconstruction for CBCT: effects on image noise and processing time. [PDF]

Dentomaxillofac Radiol, 2023
Ramage A, Lopez Gutierrez B, Fischer K, Sekula M, Santaella GM, Scarfe W, Brasil DM, de Oliveira-Santos C.   +7 more
europepmc   +1 more source

Low dose CT colonography: feasibility of using iterative reconstruction algorithms for improved 3D interpretation of polyps

, 2011
Dhruv Mehta
openalex   +1 more source

An end‐to‐end‐trainable iterative network architecture for accelerated radial multi‐coil 2D cine MR image reconstruction

, 2021
Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Christoph Kolbitsch   +3 more
openalex   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

Comparison of image quality in 40 keV virtual monoenergetic images of dual-energy CT pulmonary angiography using deep learning and iterative reconstruction algorithms under optimized low dose scanning protocols. [PDF]

Quant Imaging Med Surg
Zhang D, Zhang L, Long J, Wu Y, Zhang H, Wang C, Sun B, Wang C, Zhang H, Sun X, Sun A, Meng Y, Hu C, Xu K.   +13 more
europepmc   +1 more source