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  1. 59021
    “…We evaluate our overall architectures by cross-validation on our carotid dataset. …”
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    Multi-Sequence MRI Registration of Atherosclerotic Carotid Arteries Based on Cross-Scale Siamese Network
  2. 59022
    “…Referring to the in vivo studies, cryopreserved groups showed good take of the graft and normal AT architectural preservation, as well as a clear vascular network. …”
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    Optimization of Adipose Tissue Cryopreservation Techniques in a Murine Model
  3. 59023
    “…Results: There were 100 valid submissions that were based on deep neural networks but there were differences in pre-processing strategies, architectural details, and training procedures. The winning team scored a 0.974 kidney Dice and a 0.851 tumor Dice resulting in 0.912 composite score. …”
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    Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge
  4. 59024
    “…Deep Learning methods in computer vision applications have shown significant improvement in recent years, most of which can be credited to the fact that a sizeable amount of data is available to train models, and the improvements in the model architectures yield better approximations in a supervised setting. …”
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    Classification of brain tumours in MR images using deep spatiospatial models
  5. 59025
    “…Research results show that architectural phenomena (i.e., independent variable), through value conservation (i.e., mediator variable), have the most significant effect on the value revitalization (i.e., dependent variable) of Qajar religious schools in Tehran. …”
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    The value revitalization model of Qajar religious schools in Tehran
  6. 59026
    “…While data-driven methods with deep learning like encoder-decoder networks always are always accompanied by complex architectures which require amounts of training data. …”
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    Grayscale medical image segmentation method based on 2D&3D object detection with deep learning
  7. 59027
    “…We trained three state-of-the-art, popular convolutional neural network (CNN) architectures (namely VGG16, Inception-V4, and ResNet-34) with a large volume of training data, which combined manual annotations from pathologists (strong annotations) and computer-generated labels from our previously reported first-generation TIL model for 13 cancer types (model-generated annotations). …”
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    Deep Learning-Based Mapping of Tumor Infiltrating Lymphocytes in Whole Slide Images of 23 Types of Cancer
  8. 59028
    “…In addition, we explored the possibility of applying transfer learning techniques on our dataset by choosing two independent noncommercial off-the-shelf convolutional neural network architectures (ResNet50 V2 and Inception V3) and compared the performances of those two with RiFNet. …”
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    RiFNet: Automated rib fracture detection in postmortem computed tomography
  9. 59029
    “…The TEOSINTE BRANCHED1/CYCLOIDEA/PROLIFERATING CELL FACTOR (TCP) family proteins are plant-specific transcription factors that have been well-acknowledged for designing the architectures of plant branch, shoot, and inflorescence. …”
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    Innovation and Emerging Roles of Populus trichocarpa TEOSINTE BRANCHED1/CYCLOIDEA/PROLIFERATING CELL FACTOR Transcription Factors in Abiotic Stresses by Whole-Genome Duplication
  10. 59030
    “…Apocrine atypia usually refers to cytological atypia in which there is at least threefold variation in nuclear size but architectural atypia may also occur. The distinction between atypical apocrine hyperplasia and non-high-grade apocrine ductal carcinoma in situ may be difficult due to the relative rarity of these entities and the lack of validated diagnostic criteria. …”
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    Apocrine lesions of the breast
  11. 59031
    “…After then, the performances of GoogLeNet and ResNet, as the most advanced CNN architectures, were compared in COVID-19 detection. In addition, transfer learning (TL) was employed to solve overfitting problems caused by limited CT samples. …”
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    A convolutional neural network-based COVID-19 detection method using chest CT images
  12. 59032
    “…As we evaluated, complex Chinese language processing techniques, such as segmentation and parsing, were not necessary for practice and complex architectures were not necessary to build the QA system. …”
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    Answering medical questions in Chinese using automatically mined knowledge and deep neural networks: an end-to-end solution
  13. 59033
    “…Using a broad sampling with 143 species from 50 genera, covering all major lineages in Malpighiaceae, we crossed data from ontogeny, stem anatomy, and phylogenetic comparative methods to determine ontogenetic trajectories, final anatomical architectures, and evolution within the most recent phylogeny for the family. …”
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    Phloem wedges in Malpighiaceae: origin, structure, diversification, and systematic relevance
  14. 59034
    “…High Mobility Group A1 (HMGA1) is an architectural chromatin factor involved in the regulation of gene expression and a master regulator in Triple Negative Breast Cancer (TNBC). …”
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    HMGA1 positively regulates the microtubule-destabilizing protein stathmin promoting motility in TNBC cells and decreasing tumour sensitivity to paclitaxel
  15. 59035
    “…We develop two distinct GNN architectures: [Formula: see text] is the base implementation that employs distinct featurization to enhance domain-awareness, while [Formula: see text] is a novel implementation that can predict with no prior knowledge of the intermolecular interactions. …”
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    Decoding the protein–ligand interactions using parallel graph neural networks
  16. 59036
    “…Mechanical loading induced unique architectural changes in collagen fibers along with dynamic compositional changes in the matrisome profile, particularly involving ECM glycoproteins and matrisome-associated proteins. …”
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    Extracellular Matrix-Oriented Proteomic Analysis of Periodontal Ligament Under Mechanical Stress
  17. 59037
    “…Deep convolution neural network (CNN) architectures are widely used in multi-label (ML) classification. …”
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    A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique
  18. 59038
    “…However, traits with complex genetic architectures create an enormous computational load for discovery of candidate genes with acceptable statistical certainty. …”
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    COMPILE: a GWAS computational pipeline for gene discovery in complex genomes
  19. 59039
    “…METHODS: Multiple deep neural network architectures were designed to test theses hypotheses. …”
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    Deep learning predicts all-cause mortality from longitudinal total-body DXA imaging
  20. 59040
    “…Traditional cloud-based data management architectures are extremely vulnerable in the face of various cyberattacks. …”
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    A privacy-preserving blockchain-based tracing model for virus-infected people in cloud
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