Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Showing 3697-3717 of 6,831 articles
Enhancing DNA Foundation Models to Address Masking Inefficiencies

Masked language modelling (MLM) as a pretraining objective has been widely adopted in genomic sequ...

TagGAN: A Generative Model for Data Tagging

Precise identification and localization of disease-specific features at the pixel-level are partic...

A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis

Fr\'echet Inception Distance (FID), computed with an ImageNet pretrained Inception-v3 network, is ...

Enhancing Image Matting in Real-World Scenes with Mask-Guided Iterative Refinement

Real-world image matting is essential for applications in content creation and augmented reality. ...

Pleno-Generation: A Scalable Generative Face Video Compression Framework with Bandwidth Intelligence

Generative model based compact video compression is typically operated within a relative narrow ra...

Block CG algorithms revisited

Our goal in this paper is to clarify the relationship between the block Lanczos and the block conj...

AI-driven health analysis for emerging respiratory diseases: A case study of Yemen patients using COVID-19 data.

In low-income and resource-limited countries, distinguishing COVID-19 from other respiratory disease...

Feb 2025 40083282
Rebalancing the Scales: A Systematic Mapping Study of Generative Adversarial Networks (GANs) in Addressing Data Imbalance

Machine learning algorithms are used in diverse domains, many of which face significant challenges...

Pointmap Association and Piecewise-Plane Constraint for Consistent and Compact 3D Gaussian Segmentation Field

Achieving a consistent and compact 3D segmentation field is crucial for maintaining semantic coher...

Loop unrolling: formal definition and application to testing

Testing processes usually aim at high coverage, but loops severely limit coverage ambitions since ...

Anatomy-Informed Deep Learning and Radiomics for Automated Neurofibroma Segmentation in Whole-Body MRI

Neurofibromatosis Type 1 is a genetic disorder characterized by the development of neurofibromas (...

Soybean pod and seed counting in both outdoor fields and indoor laboratories using unions of deep neural networks

Automatic counting soybean pods and seeds in outdoor fields allows for rapid yield estimation befo...

Assessing a Single Student's Concentration on Learning Platforms: A Machine Learning-Enhanced EEG-Based Framework

This study introduces a specialized pipeline designed to classify the concentration state of an in...

RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers

The Diffusion Transformer plays a pivotal role in advancing text-to-image and text-to-video genera...

Optimizing Gene-Based Testing for Antibiotic Resistance Prediction

Antibiotic Resistance (AR) is a critical global health challenge that necessitates the development...

PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models

Large Language Models (LLMs) suffer severe performance degradation when facing extremely low-bit (...

UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery

Drug discovery is crucial for identifying candidate drugs for various diseases.However, its low su...

WRT-SAM: Foundation Model-Driven Segmentation for Generalized Weld Radiographic Testing

Radiographic testing is a fundamental non-destructive evaluation technique for identifying weld de...

PromptArtisan: Multi-instruction Image Editing in Single Pass with Complete Attention Control

We present PromptArtisan, a groundbreaking approach to multi-instruction image editing that achiev...

Leveraging Machine Learning and Deep Learning Techniques for Improved Pathological Staging of Prostate Cancer

Prostate cancer (Pca) continues to be a leading cause of cancer-related mortality in men, and the ...

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