AIMC Topic: Benchmarking
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Trends of Human-Robot Collaboration in Industry Contexts: Handover, Learning, and Metrics.
Sensors (Basel, Switzerland)
Jun 15, 2021
Repetitive industrial tasks can be easily performed by traditional robotic systems. However, many other works require cognitive knowledge that only humans can provide. Human-Robot Collaboration (HRC) emerges as an ideal concept of co-working between ...
Benchmarking deep learning splice prediction tools using functional splice assays.
Human mutation
May 20, 2021
Hereditary disorders are frequently caused by genetic variants that affect pre-messenger RNA splicing. Though genetic variants in the canonical splice motifs are almost always disrupting splicing, the pathogenicity of variants in the noncanonical spl...
Benchmarking Audio Signal Representation Techniques for Classification with Convolutional Neural Networks.
Sensors (Basel, Switzerland)
May 14, 2021
Audio signal classification finds various applications in detecting and monitoring health conditions in healthcare. Convolutional neural networks (CNN) have produced state-of-the-art results in image classification and are being increasingly used in ...
Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
May 11, 2021
Advances in artificial intelligence-based methods have led to the development and publication of numerous systems for auto-segmentation in radiotherapy. These systems have the potential to decrease contour variability, which has been associated with ...
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL.
IEEE journal of biomedical and health informatics
May 11, 2021
Electrocardiography (ECG) is a very common, non-invasive diagnostic procedure and its interpretation is increasingly supported by algorithms. The progress in the field of automatic ECG analysis has up to now been hampered by a lack of appropriate dat...
Which GAN? A comparative study of generative adversarial network-based fast MRI reconstruction.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
May 10, 2021
Fast magnetic resonance imaging (MRI) is crucial for clinical applications that can alleviate motion artefacts and increase patient throughput. -space undersampling is an obvious approach to accelerate MR acquisition. However, undersampling of -space...
Deep Learning Estimation of 10-2 and 24-2 Visual Field Metrics Based on Thickness Maps from Macula OCT.
Ophthalmology
Apr 23, 2021
PURPOSE: To develop deep learning (DL) systems estimating visual function from macula-centered spectral-domain (SD) OCT images.
Survival Analysis Using Surgeon Skill Metrics and Patient Factors to Predict Urinary Continence Recovery After Robot-assisted Radical Prostatectomy.
European urology focus
Apr 12, 2021
BACKGROUND: It has been shown that metrics recorded for instrument kinematics during robotic surgery can predict urinary continence outcomes.
Characterizing the function of domain linkers in regulating the dynamics of multi-domain fusion proteins by microsecond molecular dynamics simulations and artificial intelligence.
Proteins
Mar 27, 2021
Multi-domain proteins are not only formed through natural evolution but can also be generated by recombinant DNA technology. Because many fusion proteins can enhance the selectivity of cell targeting, these artificially produced molecules, called mul...
Deep learning pan-specific model for interpretable MHC-I peptide binding prediction with improved attention mechanism.
Proteins
Mar 18, 2021
Accurate prediction of peptide binding affinity to the major histocompatibility complex (MHC) proteins has the potential to design better therapeutic vaccines. Previous work has shown that pan-specific prediction algorithms can achieve better predict...
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