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  1. 58621
    “…We set forth to address these limitations by developing a an automated workflow that leverages the strengths of different DCNN architectures, resulting in a pipeline that enables fully automated liver segmentation. …”
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    A pipeline for automated deep learning liver segmentation (PADLLS) from contrast enhanced CT exams
  2. 58622
    “…Primary and recurrent tumors exhibited similar histological features, in which spindle-shaped cells arranged in interlacing fascicles without any specific architectures, implicating sarcomatous tumors. In immunohistochemistry testing, tumor cells were immunopositive for vimentin but lacked any specific findings that contribute to narrowing down the differential diagnoses. …”
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    Primary Intracranial Spindle Cell Sarcoma, DICER1-Mutant, with MDM2 Amplification Diagnosed on the Basis of Extensive Molecular Profiling
  3. 58623
    “…Repeatability is measured and compared on ResNet and DenseNet architectures. Moreover, we assess the impact of sampling Monte Carlo dropout predictions at test time on classification performance and repeatability. …”
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    Improving the repeatability of deep learning models with Monte Carlo dropout
  4. 58624
    “…Facial expression recognition was conducted by training several well-known CNN architectures on one of the most extensive facial expressions databases, the AffectNet database, and then modifying them using the transfer learning strategy performed on the CK+ dataset. …”
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    Utilizing an Emotional Robot Capable of Lip-Syncing in Robot-Assisted Speech Therapy Sessions for Children with Language Disorders
  5. 58625
    “…We find that structures that represent notable architectural achievements were severely damaged as a result of the earthquake. …”
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    Post-earthquake damage classification and assessment: case study of the residential buildings after the M(w) = 5 earthquake in Mila city, Northeast Algeria on August 7, 2020
  6. 58626
    “…Patients’ demographics, angio-architectural characteristics, total injection and procedure times, angiographic and clinical outcomes were analyzed. …”
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    Selective arterial temporary flow arrest with balloons during transvenous embolization for the treatment of brain arteriovenous malformations: a feasibility study with MRI-monitored adverse events
  7. 58627
    “…In conclusion, the VK2-mediated interception of aging-induced Keap-1/Nrf-2/HO-1 signaling suppressed the hepatic contents of inflammatory and fibrotic biomarkers, as well as apoptotic changes with preservation of the hepatic architectural and functional status. VK2 can be presumed to be an effective nutritional supplement to the aging population to spare the liver, amongst other body organs, against aging-induced deleterious injury.…”
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    Vitamin K2 (MK-7) Intercepts Keap-1/Nrf-2/HO-1 Pathway and Hinders Inflammatory/Apoptotic Signaling and Liver Aging in Naturally Aging Rat
  8. 58628
    “…Strong designs were found in the research of the DL architectures for CVD/stroke risk stratification. Finally, we analyzed the AI bias and proposed strategies for the early diagnosis of CVD/stroke in DFI patients. …”
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    Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study
  9. 58629
    “…The TCN offers strong performance in mortality classification and offers improved computational efficiency on GPU-enabled systems over popular RNN architectures. Dataset rebalancing can improve model predictive power in imbalanced learning. …”
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    Temporal convolutional networks and data rebalancing for clinical length of stay and mortality prediction
  10. 58630
    “…In this retrospective study, six DL models (Xception, NASNet, ResNet, EfficientNet, ViT, and Swin), based on convolutional neural networks (CNNs) or transformer architectures, were trained to identify asymptomatic patients with COVID-19 on chest CT images. …”
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    Identification of Asymptomatic COVID-19 Patients on Chest CT Images Using Transformer-Based or Convolutional Neural Network–Based Deep Learning Models
  11. 58631
    “…BACKGROUND: CTCF is a well-established chromatin architectural protein that also plays various roles in transcriptional regulation. …”
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    Auxin-inducible degron 2 system deciphers functions of CTCF domains in transcriptional regulation
  12. 58632
    “…This study highlights distinct co-expression architectures in these bifidobacterial genomes during HMO consumption, and contributes to understanding gene regulation and co-expression in these species of the gut microbiome.…”
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    Structure of co-expression networks of Bifidobacterium species in response to human milk oligosaccharides
  13. 58633
    “…Our findings implicate a SNF2 family ATP-dependent motor protein SUUR in the insulator function, reveal that DNA replication can be delayed by a chromatin barrier, and uncover a critical role for architectural proteins in replication control. They suggest a mechanism for the establishment of late replication that does not depend on an asynchronous firing of late replication origins.…”
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    Drosophila SUMM4 complex couples insulator function and DNA replication control
  14. 58634
    por Yuan, Lu, Ma, Yuming, Liu, Yihui
    Publicado 2023
    “…However, existing models with deep architectures are not sufficient and comprehensive for deep long-range feature extraction of long sequences. …”
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    Ensemble deep learning models for protein secondary structure prediction using bidirectional temporal convolution and bidirectional long short-term memory
  15. 58635
    “…Quantitative imaging (QI)–derived endpoints have been developed to identify structure–function phenotypes, including air–blood–tissue volume partition, bronchovascular remodeling, emphysema, fibrosis, and textural patterns indicating architectural alteration. Coregistered landmarks on paired images obtained at different lung volumes are used to infer airway caliber, air trapping, gas and blood transport, compliance, and deformation. …”
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    Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report
  16. 58636
    por Pantaleo, Felice
    Publicado 2013
    “…The performance of parallel architectures like multi-cores CPUs and GPUs (Graphics Processing Units), located on computers graphic card, is very promising with a view to their employment for more complex pattern recognition like Čerenkov light rings reconstruction, inside the NA62 RICH detector. …”
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    Development of a parallel trigger framework for rare decay searches
  17. 58637
    por Oeftiger, Adrian
    Publicado 2016
    “…The implementation for hardware-accelerating GPU architectures enables extensive studies, especially when employing the self-consistent particle-in-cell algorithm. …”
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    Space Charge Effects and Advanced Modelling for CERN Low Energy Machines
  18. 58638
    por Helary, Louis
    Publicado 2017
    “…Its hardware, firmware and software architectures were redesigned. It now allows twice as many trigger channels, a much more flexible handling of detector dead-times, the possibility of concurrent independent triggering of up to 3 different sub-detector combinations and the handling interface to the new topological trigger system.…”
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    The ATLAS Level-1 Trigger System with 13TeV nominal LHC collisions
  19. 58639
    “…Modern CAD applications have open-use architectures, which enables their customization through the third-party programming approach. …”
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    Usage of CAD Applications as an Open-Use Geometry Modeling Research Software in Particle Physics Experiments
  20. 58640
    por Forti, Alessandra
    Publicado 2019
    “…The two methods also meet the requirement of running on a diverse range of sites from standard grid sites, to cloud sites, to HPC sites with no network and different architectures; in particular, it opened the possibility to use hardware accelerated workflows at grid sites and in the future at HPC sites. …”
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    Deployment of containers on the diverse ATLAS infrastructure
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