Latest AI and machine learning research in covid-19 for healthcare professionals.
The rapid advancement of generative models in creating highly realistic images poses substantial r...
Incremental input-to-state stability (delta-ISS) offers a robust framework to ensure that small in...
Training medical image segmentation models for rare yet clinically significant imaging modalities ...
Video Virtual Try-on aims to seamlessly transfer a reference garment onto a target person in a vid...
Image quality degradation caused by raindrops is one of the most important but challenging problem...
In clinical practice of echocardiography examinations, multiple planes containing the heart struct...
Graphical User Interfaces (GUIs) are the primary means by which users interact with mobile applica...
Text-to-image generation models have revolutionized content creation, but diffusion-based vision-l...
Recently, diffusion models have exhibited superior performance in the area of image inpainting. In...
Celiac disease is an autoimmune disorder triggered by the consumption of gluten. It causes damage ...
The river Ganga is one of the Earth's most critically important river basins, yet it faces signifi...
We consider the problem of hypothesis testing for discrete distributions. In the standard model, w...
Accurate segmentation of gross tumor volume (GTV) is essential for effective MRI-guided adaptive r...
BACKGROUND: Hürthle cell (HCC) and columnar cell variants (CCV) are rare subtypes of thyroid cancer.
The human brain undergoes major developmental changes during pregnancy. Three-dimensional (3D) ultra...
BACKGROUND: The present study aimed to determine whether machine-learning (ML)-based models can pred...
Complex networks are susceptible to contagious cascades, underscoring the urgency for effective epid...
Convolutional neural networks (CNNs) are well established in handling local features in visual tasks...
Intelligent medical devices are flourishing with the deep integration of modern information and arti...
Genomic variants, including copy number variants (CNVs) and genome-wide associa-tion study (GWAS) ...
Graph Neural Networks (GNNs) have garnered significant attention from researchers due to their out...