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

Year Number of Results
1962 1
1972 1
1983 1
1984 1
1986 1
1987 1
1988 1
1990 4
1991 11
1992 10
1993 9
1994 21
1995 17
1996 23
1997 35
1998 20
1999 19
2000 21
2001 31
2002 29
2003 18
2004 26
2005 41
2006 28
2007 36
2008 51
2009 43
2010 52
2011 59
2012 70
2013 53
2014 67
2015 91
2016 102
2017 131
2018 201
2019 287
2020 359
2021 415
2022 456
2023 429
2024 168

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3,098 results

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Page 1
Shifting the limits in wheat research and breeding using a fully annotated reference genome.
International Wheat Genome Sequencing Consortium (IWGSC). International Wheat Genome Sequencing Consortium (IWGSC). Science. 2018 Aug 17;361(6403):eaar7191. doi: 10.1126/science.aar7191. Epub 2018 Aug 16. Science. 2018. PMID: 30115783 Free article.
An annotated reference sequence representing the hexaploid bread wheat genome in 21 pseudomolecules has been analyzed to identify the distribution and genomic context of coding and noncoding elements across the A, B, and D subgenomes. With an estimated coverage of 94% of t …
An annotated reference sequence representing the hexaploid bread wheat genome in 21 pseudomolecules has been analyzed to identify the …
The benefits of convergence.
Chang GK, Cheng L. Chang GK, et al. Philos Trans A Math Phys Eng Sci. 2016 Mar 6;374(2062):20140442. doi: 10.1098/rsta.2014.0442. Philos Trans A Math Phys Eng Sci. 2016. PMID: 26809570 Review.
The multi-tier RAN will improve the cell-edge performance in an integrated heterogeneous environment enabled by fibre-wireless integration and networking for mobile fronthaul/backhaul, resource sharing and all-layer centralization of multiple standards with differen …
The multi-tier RAN will improve the cell-edge performance in an integrated heterogeneous environment enabled by fibre-wireless integration a …
Quantum Entanglement in Deep Learning Architectures.
Levine Y, Sharir O, Cohen N, Shashua A. Levine Y, et al. Phys Rev Lett. 2019 Feb 15;122(6):065301. doi: 10.1103/PhysRevLett.122.065301. Phys Rev Lett. 2019. PMID: 30822082
In this Letter, we establish that contemporary deep learning architectures, in the form of deep convolutional and recurrent networks, can efficiently represent highly entangled quantum systems. By constructing tensor network equivalents of these architectu …
In this Letter, we establish that contemporary deep learning architectures, in the form of deep convolutional and recurrent networ …
Memory-Guided Image De-Raining Using Time-Lapse Data.
Cho J, Kim S, Sohn K. Cho J, et al. IEEE Trans Image Process. 2022;31:4090-4103. doi: 10.1109/TIP.2022.3180561. Epub 2022 Jun 20. IEEE Trans Image Process. 2022. PMID: 35687627
To address this problem, we propose a novel network architecture combining the time-lapse data and, the memory network that explicitly helps to capture long-term rain streak information. Our network comprises the encoder-decoder networks and a m …
To address this problem, we propose a novel network architecture combining the time-lapse data and, the memory network …
DENSE-INception U-net for medical image segmentation.
Zhang Z, Wu C, Coleman S, Kerr D. Zhang Z, et al. Comput Methods Programs Biomed. 2020 Aug;192:105395. doi: 10.1016/j.cmpb.2020.105395. Epub 2020 Feb 15. Comput Methods Programs Biomed. 2020. PMID: 32163817
Among many kinds of CNNs, the U-net architecture is one of the most famous fully convolutional network architectures for medical semantic segmentation tasks. ...The proposed network model consists of the following parts: firstly, the Inception-Res bloc …
Among many kinds of CNNs, the U-net architecture is one of the most famous fully convolutional network architectures fo …
Artificial psychophysics questions classical hue cancellation experiments.
Vila-Tomás J, Hernández-Cámara P, Malo J. Vila-Tomás J, et al. Front Neurosci. 2023 Jul 6;17:1208882. doi: 10.3389/fnins.2023.1208882. eCollection 2023. Front Neurosci. 2023. PMID: 37483357 Free PMC article.
We show that classical hue cancellation experiments lead to human-like opponent curves even if the task is done by trivial (identity) artificial networks. Specifically, human-like opponent spectral sensitivities always emerge in artificial networks as long as (i) th …
We show that classical hue cancellation experiments lead to human-like opponent curves even if the task is done by trivial (identity) artifi …
Towards a Security Reference Architecture for NFV.
Alnaim AK, Alwakeel AM, Fernandez EB. Alnaim AK, et al. Sensors (Basel). 2022 May 14;22(10):3750. doi: 10.3390/s22103750. Sensors (Basel). 2022. PMID: 35632161 Free PMC article.
NFV transforms legacy hardware-based network infrastructure into software-based virtualized networks. This transformation increases the flexibility and scalability of networks, at the same time reducing the time for the creation of new networks. ...Bec …
NFV transforms legacy hardware-based network infrastructure into software-based virtualized networks. This transformation incr …
Deep Learning Augmented Osteoarthritis Grading Standardization.
Nagarajan L, Khatri A, Sudan A, Vaishya R, Ghosh S. Nagarajan L, et al. Tissue Eng Part A. 2023 Dec 15. doi: 10.1089/ten.TEA.2023.0206. Online ahead of print. Tissue Eng Part A. 2023. PMID: 37950715
Hence, we present the feasibility of training a deep neural network with cartilage histology images, which can grade the extent and severity of knee OA based on modified Mankin scoring system. ...This would bring a paradigm shift in histology-based assessment of OA, making …
Hence, we present the feasibility of training a deep neural network with cartilage histology images, which can grade the extent and s …
eWaSR-An Embedded-Compute-Ready Maritime Obstacle Detection Network.
Teršek M, Žust L, Kristan M. Teršek M, et al. Sensors (Basel). 2023 Jun 7;23(12):5386. doi: 10.3390/s23125386. Sensors (Basel). 2023. PMID: 37420553 Free PMC article.
In particular, the new design follows the most recent advancements of transformer-based lightweight networks. eWaSR achieves comparable detection results to state-of-the-art WaSR with only a 0.52% F1 score performance drop and outperforms other state-of-the-art embedded-re …
In particular, the new design follows the most recent advancements of transformer-based lightweight networks. eWaSR achieves comparab …
CARAFE++: Unified Content-Aware ReAssembly of FEatures.
Wang J, Chen K, Xu R, Liu Z, Loy CC, Lin D. Wang J, et al. IEEE Trans Pattern Anal Mach Intell. 2022 Sep;44(9):4674-4687. doi: 10.1109/TPAMI.2021.3074370. Epub 2022 Aug 4. IEEE Trans Pattern Anal Mach Intell. 2022. PMID: 33881989
Feature reassembly, i.e. feature downsampling and upsampling, is a key operation in a number of modern convolutional network architectures, e.g., residual networks and feature pyramids. ...It shows great potential to serve as a strong building block for moder …
Feature reassembly, i.e. feature downsampling and upsampling, is a key operation in a number of modern convolutional network archi …
3,098 results