Infectious Disease

COVID-19

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

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Showing 3634-3654 of 6,831 articles
Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection

The CLIP model has demonstrated significant advancements in aligning visual and language modalitie...

Region Masking to Accelerate Video Processing on Neuromorphic Hardware

The rapidly growing demand for on-chip edge intelligence on resource-constrained devices has motiv...

Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model

While virtual try-on for clothes and shoes with diffusion models has gained attraction, virtual tr...

CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image Generation

Traditional transformer-based semantic segmentation relies on quantized embeddings. However, our a...

Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks

The application of large language models (LLMs) to healthcare information extraction has emerged a...

One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks

Video object segmentation is crucial for the efficient analysis of complex medical video data, yet...

Multi-user Wireless Image Semantic Transmission over MIMO Multiple Access Channels

This paper focuses on a typical uplink transmission scenario over multiple-input multiple-output m...

Identifying Critical Phases for Disease Onset with Sparse Haematological Biomarkers

Routinely collected clinical blood tests are an emerging molecular data source for large-scale bio...

Marten: Visual Question Answering with Mask Generation for Multi-modal Document Understanding

Multi-modal Large Language Models (MLLMs) have introduced a novel dimension to document understand...

Adams Bashforth Moulton Solver for Inversion and Editing in Rectified Flow

Rectified flow models have achieved remarkable performance in image and video generation tasks. Ho...

HybridGen: VLM-Guided Hybrid Planning for Scalable Data Generation of Imitation Learning

The acquisition of large-scale and diverse demonstration data are essential for improving robotic ...

HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal Model

The remarkable performance of large multimodal models (LMMs) has attracted significant interest fr...

MT-PCR: Leveraging Modality Transformation for Large-Scale Point Cloud Registration with Limited Overlap

Large-scale scene point cloud registration with limited overlap is a challenging task due to compu...

TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems

This paper introduces TuneNSearch, a hybrid transfer learning and local search approach for addres...

Empirical Privacy Variance

We propose the notion of empirical privacy variance and study it in the context of differentially ...

E-SAM: Training-Free Segment Every Entity Model

Entity Segmentation (ES) aims at identifying and segmenting distinct entities within an image with...

Deep Learning-Based Direct Leaf Area Estimation using Two RGBD Datasets for Model Development

Estimation of a single leaf area can be a measure of crop growth and a phenotypic trait to breed n...

Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework

Data-driven AI is establishing itself at the center of evidence-based medicine. However, reports o...

Using Causal Inference to Explore Government Policy Impact on Computer Usage

We explore the causal relationship between COVID-19 lockdown policies and changes in personal comp...

SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAM

Pre-trained segmentation models are a powerful and flexible tool for segmenting images. Recently, ...

Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching

Despite the potential of federated learning in medical applications, inconsistent imaging quality ...

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