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GANscan: continuous scanning microscopy using deep learning deblurring

• Authors : Michael John Fanous; Gabriel Popescu

Subjects: Applied optics. Photonics; TA1501-1820; Optics. Light

• Source: Light: Science & Applications, Vol 11, Iss 1, Pp 1-10 (2022)

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An image deblurring method using improved U-Net model based on multilayer fusion and attention mechanism.

• Authors : Lian Z; College of Computer and Control Engineering, Qiqihar University, Qiqihar, 161006, China.; Wang H

• Source: Scientific reports [Sci Rep] 2023 Dec 04; Vol. 13 (1), pp. 21402. Date of Electronic Publication: 2023 Dec 04.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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On the preconditioning of the primal form of TFOV-based image deblurring model.

• Authors : Kim J; Department of Mathematics, Korea University, Seoul, South Korea.; Ahmad S

• Source: Scientific reports [Sci Rep] 2023 Oct 13; Vol. 13 (1), pp. 17422. Date of Electronic Publication: 2023 Oct 13.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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TEMImageNet training library and AtomSegNet deep-learning models for high-precision atom segmentation, localization, denoising, and deblurring of atomic-resolution images.

• Authors : Lin R; Chemistry Division, Brookhaven National Laboratory, Upton, NY, 11973, USA.; Zhang R

• Source: Scientific reports [Sci Rep] 2021 Mar 08; Vol. 11 (1), pp. 5386. Date of Electronic Publication: 2021 Mar 08.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Motion blur invariant for estimating motion parameters of medical ultrasound images

• Authors : Honarvar Shakibaei Asli, Barmak; Zhao, Yifan; Erkoyuncu, John Ahmet

Subjects: Ultrasound Imaging

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A texture guided transmission line image enhancement method.

• Authors : Zhang Y; Shanxi Energy Internet Research Institute, Taiyuan, 030032, China.; College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.

• Source: Scientific reports [Sci Rep] 2025 Mar 29; Vol. 15 (1), pp. 10863. Date of Electronic Publication: 2025 Mar 29.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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3D Reconstruction of cellular images from microfabricated imagers using fully-adaptive deep neural networks.

• Authors : Najafiaghdam H; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA. .; Rabbani R

Subjects: Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods ; Imaging, Three-Dimensional*; Machine Learning

• Source: Scientific reports [Sci Rep] 2022 May 04; Vol. 12 (1), pp. 7229. Date of Electronic Publication: 2022 May 04.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Reconstructing high fidelity digital rock images using deep convolutional neural networks.

• Authors : Bizhani M; Natural Resources Canada, Geological Survey of Canada, 3303 33 Street NW, Calgary, AB, T2L 2A7, Canada. .; Ardakani OH

Subjects: Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods ; Neural Networks, Computer*; Algorithms

• Source: Scientific reports [Sci Rep] 2022 Mar 11; Vol. 12 (1), pp. 4264. Date of Electronic Publication: 2022 Mar 11.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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