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1
Deep learning in photoacoustic tomography: current approaches and future directions
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Deep learning in photoacoustic tomography: current approaches and future directions

Hauptmann, Andreas ; Cox, Ben

Journal of biomedical optics, 2020-11, Vol.25 (11), p.112903-112903 [Periódico revisado por pares]

Bellingham: Society of Photo-Optical Instrumentation Engineers

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From simultaneous to synergistic MR-PET brain imaging: A review of hybrid MR-PET imaging methodologies
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From simultaneous to synergistic MR-PET brain imaging: A review of hybrid MR-PET imaging methodologies

Chen, Zhaolin ; Jamadar, Sharna D ; Li, Shenpeng ; Sforazzini, Francesco ; Baran, Jakub ; Ferris, Nicholas ; Shah, Nadim Jon ; Egan, Gary F

Human brain mapping, 2018-12, Vol.39 (12), p.5126-5144 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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3
Micro-Optical Sectioning Tomography to Obtain a High-Resolution Atlas of the Mouse Brain
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Micro-Optical Sectioning Tomography to Obtain a High-Resolution Atlas of the Mouse Brain

Li, Anan ; Gong, Hui ; Zhang, Bin ; Wang, Qingdi ; Yan, Cheng ; Wu, Jingpeng ; Liu, Qian ; Zeng, Shaoqun ; Luo, Qingming

Science (American Association for the Advancement of Science), 2010-12, Vol.330 (6009), p.1404-1408 [Periódico revisado por pares]

Washington, DC: American Association for the Advancement of Science

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4
Electrical capacitance tomography image reconstruction by improved orthogonal matching pursuit algorithm
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Electrical capacitance tomography image reconstruction by improved orthogonal matching pursuit algorithm

Yan, Hua ; Wang, Yan ; Wang, Yi Fan ; Zhou, Ying Gang

IET science, measurement & technology, 2020-05, Vol.14 (3), p.367-375 [Periódico revisado por pares]

The Institution of Engineering and Technology

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Implantable CMOS image sensor with incident-angle-selective pixels
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Implantable CMOS image sensor with incident-angle-selective pixels

Sugie, K ; Sasagawa, K ; Guinto, M.C ; Haruta, M ; Tokuda, T ; Ohta, J

Electronics letters, 2019-06, Vol.55 (13), p.729-731 [Periódico revisado por pares]

The Institution of Engineering and Technology

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6
Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography
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Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography

Feng, Jinchao ; Sun, Qiuwan ; Li, Zhe ; Sun, Zhonghua ; Jia, Kebin

Journal of biomedical optics, 2019-05, Vol.24 (5), p.1-12 [Periódico revisado por pares]

United States: S P I E - International Society for

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7
Image reconstruction for endoscopic photoacoustic tomography including effects of detector responses
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Image reconstruction for endoscopic photoacoustic tomography including effects of detector responses

Sun, Zheng ; Sun, Huifeng

Experimental biology and medicine (Maywood, N.J.), 2022-06, Vol.247 (11), p.881-897 [Periódico revisado por pares]

London, England: SAGE Publications

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8
Functional Alignment-Auxiliary Generative Adversarial Network-Based Visual Stimuli Reconstruction via Multi-Subject fMRI
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Functional Alignment-Auxiliary Generative Adversarial Network-Based Visual Stimuli Reconstruction via Multi-Subject fMRI

Huang, Shuo ; Sun, Liang ; Yousefnezhad, Muhammad ; Wang, Meiling ; Zhang, Daoqiang

IEEE transactions on neural systems and rehabilitation engineering, 2023, Vol.31, p.2715-2725 [Periódico revisado por pares]

United States: IEEE

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9
Logo Based on Improved Generative Countermeasure Network Image Super Resolution Reconstruction Method
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Logo Based on Improved Generative Countermeasure Network Image Super Resolution Reconstruction Method

Luo, Pengcheng ; Hu, Gengsheng ; Tan, Zhiping

Journal of physics. Conference series, 2021-04, Vol.1881 (4), p.42040 [Periódico revisado por pares]

Bristol: IOP Publishing

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10
Dynamic image reconstruction and synthesis framework using deep learning algorithm
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Dynamic image reconstruction and synthesis framework using deep learning algorithm

Jeyaraj, Pandia Rajan ; Samuel Nadar, Edward Rajan

IET image processing, 2020-05, Vol.14 (7), p.1219-1226 [Periódico revisado por pares]

The Institution of Engineering and Technology

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