Infectious Disease

COVID-19

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

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Efficient Algorithm for Sparse Fourier Transform of Generalized $q$-ary Functions

Computing the Fourier transform of a $q$-ary function $f:\mathbb{Z}_{q}^n\rightarrow \mathbb{R}$, ...

Saturation in Snapshot Compressive Imaging

Snapshot Compressive Imaging (SCI) maps three-dimensional (3D) data cubes, such as videos or hyper...

Data-driven Detection and Evaluation of Damages in Concrete Structures: Using Deep Learning and Computer Vision

Structural integrity is vital for maintaining the safety and longevity of concrete infrastructures...

CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal Concatenation

Virtual try-on (VTON) technology has gained attention due to its potential to transform online ret...

GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation

Augmentation by generative modelling yields a promising alternative to the accumulation of surgica...

Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification

Accurately classifying COVID-19 pneumonia in 3D CT scans remains a significant challenge in the fi...

Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked Diffusion

Diffusion model shows remarkable potential on sparse-view computed tomography (SVCT) reconstructio...

Generalized Single-Image-Based Morphing Attack Detection Using Deep Representations from Vision Transformer

Face morphing attacks have posed severe threats to Face Recognition Systems (FRS), which are opera...

Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness

This paper investigates the robustness of vision-language models against adversarial visual pertur...

ThinTact:Thin Vision-Based Tactile Sensor by Lensless Imaging

Vision-based tactile sensors have drawn increasing interest in the robotics community. However, tr...

Interpretable Droplet Digital PCR Assay for Trustworthy Molecular Diagnostics

Accurate molecular quantification is essential for advancing research and diagnostics in fields su...

Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation

Small object segmentation, like tumor segmentation, is a difficult and critical task in the field ...

SimGen: A Diffusion-Based Framework for Simultaneous Surgical Image and Segmentation Mask Generation

Acquiring and annotating surgical data is often resource-intensive, ethical constraining, and requ...

Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation

Bias in Foundation Models (FMs) - trained on vast datasets spanning societal and historical knowle...

RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentation

In recent years, there have been significant advancements in deep learning for medical image analy...

Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series Classification

Multivariate Time Series Classification (MTSC) enables the analysis if complex temporal data, and ...

SmartEraser: Remove Anything from Images using Masked-Region Guidance

Object removal has so far been dominated by the mask-and-inpaint paradigm, where the masked region...

An Intra- and Cross-frame Topological Consistency Scheme for Semi-supervised Atherosclerotic Coronary Plaque Segmentation

Enhancing the precision of segmenting coronary atherosclerotic plaques from CT Angiography (CTA) i...

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