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Showing 7 of 7 academic articles

Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications

Lixiang Li, Yuan Fang, Liwei Liu, Haipeng Peng et al. • Applied Sciences (2020)

With the development of intelligent networks such as the Internet of Things, network scales are becoming increasingly larger, and network environments increasingly complex, which brings a great challenge to network communication. The issues...

DOAJ Open Access (DOAJ) DOI: 10.3390/app10175909

ANAT 2.0: reconstructing functional protein subnetworks

Yomtov Almozlino, Nir Atias, Dana Silverbush, Roded Sharan • BMC Bioinformatics (2017)

Abstract Background ANAT is a graphical, Cytoscape-based tool for the inference of protein networks that underlie a process of interest. The ANAT tool allows the user to perform network reconstruction under several scenarios in a number of ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12859-017-1932-1

Computational Hyperspectral Camera Design Based on Co-Modulation of Diffractive Optical Element and Superposition Fabry-Perot Filter Array

Shiqi Feng, Xuquan Wang, Xiong Dun, Zhanshan Wang et al. • IEEE Photonics Journal (2025)

Encoded computational hyperspectral cameras, propelled by advances in compressed sensing theory, making both miniaturization and real-time hyperspectral imaging feasible. Spectral-encoded or spatial-encoded hyperspectral imaging strategy ha...

DOAJ Open Access (DOAJ) DOI: 10.1109/JPHOT.2025.3624799

Correlation analysis between preoperative MRI image features based on image reconstruction algorithms and incision healing in patients with benign hepatobiliary diseases undergoing postoperative drainage tube placement

Chunlong Shao, Ning Zhang, Wei Du, Han Li et al. • Journal of Radiation Research and Applied Sciences (2026)

Objective: This study was designed to examine the association between preoperative abdominal MRI features derived using a deep learning-based reconstruction (DL-Recon) algorithm and postoperative surgical incision-healing outcomes, while ev...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jrras.2026.102395

Fast iterative reconstruction for photoacoustic tomography using learned physical model: Theoretical validation

Ko-Tsung Hsu, Steven Guan, Parag V. Chitnis • Photoacoustics (2023)

Iterative reconstruction has demonstrated superior performance in medical imaging under compressed, sparse, and limited-view sensing scenarios. However, iterative reconstruction algorithms are slow to converge and rely heavily on hand-craft...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.pacs.2023.100452

Machine-learning reprogrammable metasurface imager

Lianlin Li, Hengxin Ruan, Che Liu, Ying Li et al. • Nature Communications (2019)

Conventional microwave imagers usually require either time-consuming data acquisition, or complicated reconstruction algorithms for data post-processing, making them largely ineffective for complex in-situ sensing and monitoring. Here, we e...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41467-019-09103-2 PMC: 6403242