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Found 12 papers, 0 papers with code
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray
A deep-learning algorithm to predict coronary artery calcium (CAC) score (the AI-CAC model) was developed on 460 chest x-ray (80% training cohort, 20% internal validation cohort) of primary prevention patients (58. 4% male, median age 63 [51-74] years) with available paired chest x-ray and chest computed tomography (CT) indicated for any clinical reason and performed within 3 months.
Shifting Focus: From Global Semantics to Local Prominent Features in Swin-Transformer for Knee Osteoarthritis Severity Assessment
Conventional imaging diagnostics frequently encounter bottlenecks due to manual inspection, which can lead to delays and inconsistencies.
Quantization Effects on Neural Networks Perception: How would quantization change the perceptual field of vision models?
Neural network quantization is an essential technique for deploying models on resource-constrained devices.
Insights into Classifying and Mitigating LLMs' Hallucinations
The widespread adoption of large language models (LLMs) across diverse AI applications is proof of the outstanding achievements obtained in several tasks, such as text mining, text generation, and question answering.
Automatic diagnosis of knee osteoarthritis severity using Swin transformer
Knee osteoarthritis (KOA) is a widespread condition that can cause chronic pain and stiffness in the knee joint.
An Inter-observer consistent deep adversarial training for visual scanpath prediction
The visual scanpath is a sequence of points through which the human gaze moves while exploring a scene.
A domain adaptive deep learning solution for scanpath prediction of paintings
Cultural heritage understanding and preservation is an important issue for society as it represents a fundamental aspect of its identity.
Self Supervised Scanpath Prediction Framework for Painting Images
In our paper, we propose a novel strategy to learn distortion invariant latent representation from painting pictures for visual attention modelling downstream task.
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences
In this paper, a new mobile application for image content retrieval and classification for mobile device display is proposed to enrich the visual experience of users.
Empirical Model of 10-130 MeV Solar Energetic Particle Spectra at 1 AU Based on Coronal Mass Ejection Speed and Direction
We present a new empirical model to predict solar energetic particle (SEP) event-integrated and peak intensity spectra between 10 and 130 MeV at 1 AU, based on multi-point spacecraft measurements from the Solar TErrestrial RElations Observatory (STEREO), the Geostationary Operational Environmental Satellites (GOES) and the Payload for Antimatter Matter Exploration and Light-nuclei Astrophysics (PAMELA) satellite experiment.
Solar and Stellar Astrophysics Space Physics
Energetic Proton Back-Precipitation onto the Solar Atmosphere in Relation to Long-Duration Gamma-Ray Flares
For eight LDGRF events, due to strong mirroring, $\overline{P}$ is very small, between 0. 56 and 0. 93% even in the presence of scattering.
Solar and Stellar Astrophysics High Energy Astrophysical Phenomena
A method for Cloud Mapping in the Field of View of the Infra-Red Camera during the EUSO-SPB1 flight
The available nighttime and daytime images include information on meteorological conditions of the atmosphere observed in two infra-red bands.
