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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1999 1
2002 1
2006 2
2007 1
2009 1
2012 2
2013 2
2014 1
2016 1
2017 1
2018 3
2019 4
2020 3
2021 6
2022 6
2023 6
2024 3

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41 results

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Page 1
Joint solution for PET image segmentation, denoising, and partial volume correction.
Xu Z, Gao M, Papadakis GZ, Luna B, Jain S, Mollura DJ, Bagci U. Xu Z, et al. Med Image Anal. 2018 May;46:229-243. doi: 10.1016/j.media.2018.03.007. Epub 2018 Mar 28. Med Image Anal. 2018. PMID: 29627687 Free PMC article.
For denoising, we adapt generalized Anscombe transformation to Gaussianize the multiplicative noise followed by a new adaptive smoothing algorithm called regional mean denoising. ...For PET image segmentation, we use affinity propagation (AP)-based iterative …
For denoising, we adapt generalized Anscombe transformation to Gaussianize the multiplicative noise followed by a new adaptive …
Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis.
Singh NM, Iglesias JE, Adalsteinsson E, Dalca AV, Golland P. Singh NM, et al. J Mach Learn Biomed Imaging. 2022 Jun;2022:018. Epub 2022 Jun 23. J Mach Learn Biomed Imaging. 2022. PMID: 36349348 Free PMC article.
Our work is motivated by the challenges arising in MRI acquisition where the signal is a corrupted Fourier transform of the desired image. The proposed joint learning schemes enable both correction of artifacts native to the frequency space and manipulation of image …
Our work is motivated by the challenges arising in MRI acquisition where the signal is a corrupted Fourier transform of the desired i …
New Denoising Method for Lidar Signal by the WT-VMD Joint Algorithm.
Wang Z, Ding H, Wang B, Liu D. Wang Z, et al. Sensors (Basel). 2022 Aug 10;22(16):5978. doi: 10.3390/s22165978. Sensors (Basel). 2022. PMID: 36015745 Free PMC article.
In this paper, a new denoising method named the WT-VMD joint algorithm based on the sparrow search algorithm (SSA), for lidar signal is selected by comparative experiment analysis. ...Then, the SNR is increased by 83.3%, 60.4% and 24.0% and the RMSE is decreased by …
In this paper, a new denoising method named the WT-VMD joint algorithm based on the sparrow search algorithm (SSA), for lidar …
Efficient joint noise removal and multi exposure fusion.
Buades A, Lisani JL, Martorell O. Buades A, et al. PLoS One. 2022 Mar 25;17(3):e0265464. doi: 10.1371/journal.pone.0265464. eCollection 2022. PLoS One. 2022. PMID: 35333884 Free PMC article.
In this paper, we propose a new method that performs MEF and noise removal. Rather than denoising each input image individually and then fusing the obtained results, the proposed strategy jointly performs fusion and denoising in the Discrete Cosinus Transform …
In this paper, we propose a new method that performs MEF and noise removal. Rather than denoising each input image individually and t …
Low-dose CBCT reconstruction via joint non-local total variation denoising and cubic B-spline interpolation.
Lee H, Park J, Choi Y, Park KR, Min BJ, Lee IJ. Lee H, et al. Sci Rep. 2021 Feb 11;11(1):3681. doi: 10.1038/s41598-021-83266-1. Sci Rep. 2021. PMID: 33574477 Free PMC article.
This study develops an improved Feldkamp-Davis-Kress (FDK) reconstruction algorithm using non-local total variation (NLTV) denoising and a cubic B-spline interpolation-based backprojector to enhance the image quality of low-dose cone-beam computed tomography (CBCT). The NL …
This study develops an improved Feldkamp-Davis-Kress (FDK) reconstruction algorithm using non-local total variation (NLTV) denoising …
Active imaging through dense fog by utilizing the joint polarization defogging and denoising optimization based on range-gated detection.
Huang F, Qiu S, Liu H, Liu Y, Wang P. Huang F, et al. Opt Express. 2023 Jul 31;31(16):25527-25544. doi: 10.1364/OE.491831. Opt Express. 2023. PMID: 37710437 Free article.
However, the fog concentration restricts the current defogging methods; the image will be seriously degraded in dense fog scenes. Here, an imaging technique by developing joint active polarization defogging and denoising optimization methods based on range-gated det …
However, the fog concentration restricts the current defogging methods; the image will be seriously degraded in dense fog scenes. Here, an i …
A Novel Joint Channel Estimation and Symbol Detection Receiver for Orthogonal Time Frequency Space in Vehicular Networks.
Zhang X, Wen H, Yan Z, Yuan W, Wu J, Li Z. Zhang X, et al. Entropy (Basel). 2023 Sep 20;25(9):1358. doi: 10.3390/e25091358. Entropy (Basel). 2023. PMID: 37761657 Free PMC article.
It has been demonstrated that orthogonal time frequency space (OTFS) modulation proves effective in addressing the challenges posed by high-mobility environments, as it transforms the time-varying channels into the delay-Doppler domain. ...Specifically, the estimation of t …
It has been demonstrated that orthogonal time frequency space (OTFS) modulation proves effective in addressing the challenges posed by high- …
Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction.
Song P, Weizman L, Mota JFC, Eldar YC, Rodrigues MRD. Song P, et al. IEEE Trans Med Imaging. 2020 Mar;39(3):621-633. doi: 10.1109/TMI.2019.2932961. Epub 2019 Aug 2. IEEE Trans Med Imaging. 2020. PMID: 31395541
In this paper, we propose a coupled dictionary learning based multi-contrast MRI reconstruction (CDLMRI) approach to leverage the dependency correlation between different contrasts for guided or joint reconstruction from their under-sampled k -space data. Our approach iter …
In this paper, we propose a coupled dictionary learning based multi-contrast MRI reconstruction (CDLMRI) approach to leverage the dependency …
A review of the evolution of scientific literature on technology-assisted approaches using RGB-D sensors for musculoskeletal health monitoring.
Mangal NK, Tiwari AK. Mangal NK, et al. Comput Biol Med. 2021 May;132:104316. doi: 10.1016/j.compbiomed.2021.104316. Epub 2021 Mar 8. Comput Biol Med. 2021. PMID: 33721734 Review.
To streamline the search through the literature database, the PICOS framework and PRISMA method have been incorporated. The present study reviews methods to transform motion capture data into kinematics variables and factors that affect the tracking performance of RGB-D se …
To streamline the search through the literature database, the PICOS framework and PRISMA method have been incorporated. The present study re …
Joint removal of random and fixed-pattern noise through spatiotemporal video filtering.
Maggioni M, Sánchez-Monge E, Foi A. Maggioni M, et al. IEEE Trans Image Process. 2014 Oct;23(10):4282-96. doi: 10.1109/TIP.2014.2345261. Epub 2014 Aug 5. IEEE Trans Image Process. 2014. PMID: 25122566
We propose a framework for the denoising of videos jointly corrupted by spatially correlated (i.e., nonwhite) random noise and spatially correlated fixed-pattern noise. ...First, the spatial and temporal correlations within each volume are leveraged to sparsify the data in …
We propose a framework for the denoising of videos jointly corrupted by spatially correlated (i.e., nonwhite) random noise and spatia …
41 results