Results 1 to 10 of about 412,052 (160)
Deep Learning Reconstruction of Ultra-Short Pulses [PDF]
Conference on Lasers and Electro-Optics, 2018 Ultra-short laser pulses with femtosecond to attosecond pulse duration are the shortest systematic events humans can create. Characterization (amplitude and phase) of these pulses is a key ingredient in ultrafast science, e.g., exploring chemical ...
Cohen, Oren +4 more
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Advances in High Energy Physics, 2018 We provide a fast approach incorporating the usage of deep learning for studying the effects of the number of photon sensors in an antineutrino detector on the event reconstruction performance therein. This work is a first attempt to harness the power of
Chang-Wei Loh +7 more
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Reconstructing patchy reionization with deep learning [PDF]
Physical Review D, 2021 14 pages, 9 figures. Updated to match published version.
Eric Guzman, Joel Meyers
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Review of Image Super-resolution Reconstruction Algorithms Based on Deep Learning [PDF]
Jisuanji kexue yu tansuo, 2022 The essence of image super-resolution reconstruction technology is to break through the limitation of hardware conditions, and reconstruct a high-resolution image from a low-resolution image which contains less infor-mation through the image super ...
YANG Caidong, LI Chengyang, LI Zhongbo, XIE Yongqiang, SUN Fangwei, QI Jin
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Deep learning reconstruction in ANTARES [PDF]
Journal of Instrumentation, 2021 ANTARES is currently the largest undersea neutrino telescope, located in the Mediterranean Sea and taking data since 2007. It consists of a 3D array of photo sensors, instrumenting about 10Mt of seawater to detect Cherenkov light induced by secondary particles from neutrino interactions.
García Méndez, Juan +4 more
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Deep Learning Method for Martian Atmosphere Reconstruction [PDF]
Journal of Aerospace Information Systems, 2021 The reconstruction of atmospheric properties encountered during Mars entry trajectories is a crucial element of postflight mission analysis. This paper proposes a deep learning architecture using a long short-term memory (LSTM) network for the reconstruction of Martian density and wind profiles from inertial measurements and guidance commands.
Davide Amato, Jay W. McMahon
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Advances of deep learning in electrical impedance tomography image reconstruction
Frontiers in Bioengineering and Biotechnology, 2022 Electrical impedance tomography (EIT) has been widely used in biomedical research because of its advantages of real-time imaging and nature of being non-invasive and radiation-free.
Tao Zhang +16 more
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Journal of Integrative Neuroscience, 2021 To evaluate the ability of a commercialized deep learning reconstruction technique to depict intracranial vessels on the brain computed tomography angiography and compare the image quality with filtered-back-projection and hybrid iterative ...
Chuluunbaatar Otgonbaatar +5 more
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A Systematic Literature Review of 3D Deep Learning Techniques in Computed Tomography Reconstruction
Tomography, 2023 Computed tomography (CT) is used in a wide range of medical imaging diagnoses. However, the reconstruction of CT images from raw projection data is inherently complex and is subject to artifacts and noise, which compromises image quality and accuracy. In
Hameedur Rahman +5 more
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A survey on deep learning in medical image reconstruction
Intelligent Medicine, 2021 Medical image reconstruction aims to acquire high-quality medical images for clinical usage at minimal cost and risk to the patients. Deep learning and its applications in medical imaging, especially in image reconstruction have received considerable ...
Emmanuel Ahishakiye +4 more
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