Infectious Disease

COVID-19

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

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Relative-error testing of conjunctions and decision lists

We study the relative-error property testing model for Boolean functions that was recently introdu...

MARS: a Multimodal Alignment and Ranking System for Few-Shot Segmentation

Current Few Shot Segmentation literature lacks a mask selection method that goes beyond visual sim...

Virtual-mask Informed Prior for Sparse-view Dual-Energy CT Reconstruction

Sparse-view sampling in dual-energy computed tomography (DECT) significantly reduces radiation dos...

Who cares about testing?: Co-creations of Socio-technical Software Testing Experiences

Software testing is crucial for ensuring software quality, yet developers' engagement with it vari...

Using ML filters to help automated vulnerability repairs: when it helps and when it doesn't

[Context:] The acceptance of candidate patches in automated program repair has been typically base...

S-EO: A Large-Scale Dataset for Geometry-Aware Shadow Detection in Remote Sensing Applications

We introduce the S-EO dataset: a large-scale, high-resolution dataset, designed to advance geometr...

MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs

This paper presents MedSegFactory, a versatile medical synthesis framework that generates high-qua...

WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care

Chronic wounds affect a large population, particularly the elderly and diabetic patients, who ofte...

Transferable Mask Transformer: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation

Recent advances in Vision Transformers (ViTs) have set new benchmarks in semantic segmentation. Ho...

URECA: Unique Region Caption Anything

Region-level captioning aims to generate natural language descriptions for specific image regions ...

Turing instability for nonlocal heterogeneous reaction-diffusion systems: A computer-assisted proof approach

This paper provides a computer-assisted proof for the Turing instability induced by heterogeneous ...

IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR

Unsupervised anomaly detection and segmentation methods train a model to learn the training distri...

Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal

Visible watermark removal which involves watermark cleaning and background content restoration is ...

Statistical Management of the False Discovery Rate in Medical Instance Segmentation Based on Conformal Risk Control

Instance segmentation plays a pivotal role in medical image analysis by enabling precise localizat...

CATS: Mitigating Correlation Shift for Multivariate Time Series Classification

Unsupervised Domain Adaptation (UDA) leverages labeled source data to train models for unlabeled t...

BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models

Accurate segmentation of polyps and skin lesions is essential for diagnosing colorectal and skin c...

LLM4SZZ: Enhancing SZZ Algorithm with Context-Enhanced Assessment on Large Language Models

The SZZ algorithm is the dominant technique for identifying bug-inducing commits and serves as a f...

Detection of Disease on Nasal Breath Sound by New Lightweight Architecture: Using COVID-19 as An Example

Background. Infectious diseases, particularly COVID-19, continue to be a significant global health...

Visually Image Encryption and Compression Using a CNN-Based Auto Encoder

This paper proposes a visual encryption method to ensure the confidentiality of digital images. Th...

Hybrid Global-Local Representation with Augmented Spatial Guidance for Zero-Shot Referring Image Segmentation

Recent advances in zero-shot referring image segmentation (RIS), driven by models such as the Segm...

Machine learning to improve HIV screening using routine data in Kenya.

INTRODUCTION: Optimal use of HIV testing resources accelerates progress towards ending HIV as a glob...

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