Latest AI and machine learning research in covid-19 for healthcare professionals.
Understanding the prevalence, disparities, and symptom variations of Post COVID-19 Condition (PCC)...
Computing the Fourier transform of a $q$-ary function $f:\mathbb{Z}_{q}^n\rightarrow \mathbb{R}$, ...
Snapshot Compressive Imaging (SCI) maps three-dimensional (3D) data cubes, such as videos or hyper...
Structural integrity is vital for maintaining the safety and longevity of concrete infrastructures...
Virtual try-on (VTON) technology has gained attention due to its potential to transform online ret...
Augmentation by generative modelling yields a promising alternative to the accumulation of surgica...
Accurately classifying COVID-19 pneumonia in 3D CT scans remains a significant challenge in the fi...
Diffusion model shows remarkable potential on sparse-view computed tomography (SVCT) reconstructio...
Face morphing attacks have posed severe threats to Face Recognition Systems (FRS), which are opera...
This paper investigates the robustness of vision-language models against adversarial visual pertur...
Vision-based tactile sensors have drawn increasing interest in the robotics community. However, tr...
Accurate molecular quantification is essential for advancing research and diagnostics in fields su...
Prostate cancer (PCa) is the most prevalent cancer among men in the United States, accounting for ...
Small object segmentation, like tumor segmentation, is a difficult and critical task in the field ...
Acquiring and annotating surgical data is often resource-intensive, ethical constraining, and requ...
Bias in Foundation Models (FMs) - trained on vast datasets spanning societal and historical knowle...
In recent years, there have been significant advancements in deep learning for medical image analy...
Multivariate Time Series Classification (MTSC) enables the analysis if complex temporal data, and ...
Object removal has so far been dominated by the mask-and-inpaint paradigm, where the masked region...
The COVID-19 pandemic has profoundly impacted billions globally. It challenges public health and h...
Enhancing the precision of segmenting coronary atherosclerotic plaques from CT Angiography (CTA) i...