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Deconwolf enables high-performance deconvolution of widefield fluorescence microscopy images

• Authors : Wernersson, E; Gelali, E; Girelli, G

Subjects: Medicin och hälsovetenskap

• Source: Nature methods. 21(8):1245-1256

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Deconvolution Enhancement Keypoint Network for Efficient Fish Fry Counting.

• Authors : Li, Ximing¹ (AUTHOR) ; Liang, Zhicai¹ (AUTHOR) ; Zhuang, Yitao¹ (AUTHOR)

• Source: Animals (2076-2615). May2024, Vol. 14 Issue 10, p1490. 23p.

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Maximum Likelihood Deconvolution of Beamforming Images with Signal-Dependent Speckle Fluctuations.

• Authors : Zheng, Yuchen¹ (AUTHOR) ; Ping, Xiaobin¹ (AUTHOR) ; Li, Lingxuan¹ (AUTHOR)

• Source: Remote Sensing. May2024, Vol. 16 Issue 9, p1506. 22p.

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A Methodology Using Monte-Carlo Simulation on Nanoindentation Deconvolution for Metal Classification

• Authors : Bello bermejo, Juan manuel; Windmark, Christina; Gutnichenko, Oleksandr ...

Subjects: Nanoindentation; Monte-Carlo simulation; Deconvolution

• Source: 11th Swedish Production Symposium,Trollhätan, Sweden,-- Proceedings of the 11th Swedish Production Symposium (SPS2024) SPI: Sustainable Production Initiative NanoLund: Centre for Nanoscience.

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A Frequency–Azimuth Spectrum Estimation Method for Uniform Linear Array Based on Deconvolution.

• Authors : Lu, Daiqiang¹ (AUTHOR) ; Cai, Zhiming¹ (AUTHOR); Guo, Wei² (AUTHOR)

• Source: Remote Sensing. Feb2024, Vol. 16 Issue 3, p518. 16p.

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Show-through removal with sparsity-based blind deconvolution.

• Authors : Kawakami, Sota¹ (AUTHOR) ; Kudo, Hiroyuki² (AUTHOR)

Subjects: *COST functions; *OUTER space; *VECTOR valued functions

• Source: PLoS ONE. 6/12/2024, Vol. 19 Issue 6, p1-23. 23p.

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imply: improving cell-type deconvolution accuracy using personalized reference profiles.

• Authors : Meng, Guanqun¹ (AUTHOR); Pan, Yue² (AUTHOR); Tang, Wen¹ (AUTHOR)

• Source: Genome Medicine. 4/29/2024, Vol. 16 Issue 1, p1-16. 16p.

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Deep Richardson–Lucy Deconvolution for Low-Light Image Deblurring.

• Authors : Chen, Liang¹ (AUTHOR); Zhang, Jiawei² (AUTHOR) ; Li, Zhenhua³ (AUTHOR)

• Source: International Journal of Computer Vision. Feb2024, Vol. 132 Issue 2, p428-445. 18p.

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A quasi-Bayesian sequential approach to deconvolution density estimation

• Authors : Favaro, Stefano; Fortini, Sandra

Subjects: Statistics - Methodology; Statistics - Machine Learning

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Masked adversarial neural network for cell type deconvolution in spatial transcriptomics

• Authors : Huang, Lin; Liu, Xiaofei; Wang, Shunfang

Subjects: Computer Science - Machine Learning

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