Infectious Disease

COVID-19

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

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Showing 4075-4095 of 6,831 articles
Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning

Noninvasive human-machine interfaces such as surface electromyography (sEMG) have long been employ...

Efficient MedSAMs: Segment Anything in Medical Images on Laptop

Promptable segmentation foundation models have emerged as a transformative approach to addressing ...

Local analysis of iterative reconstruction from discrete generalized Radon transform data in the plane

Local reconstruction analysis (LRA) is a powerful and flexible technique to study images reconstru...

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving

As a cost-effective and robust technology, automotive radar has seen steady improvement during the...

DefFiller: Mask-Conditioned Diffusion for Salient Steel Surface Defect Generation

Current saliency-based defect detection methods show promise in industrial settings, but the unpre...

Efficient Neural Network Encoding for 3D Color Lookup Tables

3D color lookup tables (LUTs) enable precise color manipulation by mapping input RGB values to spe...

Affordance-Aware Object Insertion via Mask-Aware Dual Diffusion

As a common image editing operation, image composition involves integrating foreground objects int...

Mobilizing Waldo: Evaluating Multimodal AI for Public Mobilization

Advancements in multimodal Large Language Models (LLMs), such as OpenAI's GPT-4o, offer significan...

Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning.

The adaptive immune system holds invaluable information on past and present immune responses in the ...

Dec 2024 39701034
Predicting adaptive immune receptor specificities by machine learning is a data generation problem.

Determining the specificity of adaptive immune receptors-B cell receptors (BCRs), their secreted for...

Dec 2024 39701035
Attentive Eraser: Unleashing Diffusion Model's Object Removal Potential via Self-Attention Redirection Guidance

Recently, diffusion models have emerged as promising newcomers in the field of generative models, ...

The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and Development of Immunofluoresence Imaging Methods

The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researc...

Multi-Scale Cross-Fusion and Edge-Supervision Network for Image Splicing Localization

Image Splicing Localization (ISL) is a fundamental yet challenging task in digital forensics. Alth...

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation

We empirically study the scaling properties of various Diffusion Transformers (DiTs) for text-to-i...

Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation

Domain Generalized Semantic Segmentation (DGSS) seeks to utilize source domain data exclusively to...

AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization

Unsupervised visual anomaly detection is crucial for enhancing industrial production quality and e...

A Mapper Algorithm with implicit intervals and its optimization

The Mapper algorithm is an essential tool for visualizing complex, high dimensional data in topolo...

High-Quality Mask Tuning Matters for Open-Vocabulary Segmentation

Open-vocabulary image segmentation has been advanced through the synergy between mask generators a...

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots

Reconstructing three-dimensional (3D) scenes with semantic understanding is vital in many robotic ...

Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound

Prostate cancer is a leading cause of cancer-related deaths among men. The recent development of h...

Script-Based Dialog Policy Planning for LLM-Powered Conversational Agents: A Basic Architecture for an "AI Therapist"

Large Language Model (LLM)-Powered Conversational Agents have the potential to provide users with ...

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