Latest AI and machine learning research in covid-19 for healthcare professionals.
Recent open-vocabulary segmentation methods adopt mask generators to predict segmentation masks and leverage pre-trained vision-language models, e.g., CLIP, to classify these masks via mask pooling. Although these approaches show promising results, it is counterintuitive that accurate masks often fail to yield accurate classification results through pooling CLIP image embeddings within the mask ...
The rapid advancement of generative models in creating highly realistic images poses substantial risks for misinformation dissemination. For instance, a synthetic image, when shared on social media, can mislead extensive audiences and erode trust in digital content, resulting in severe repercussions. Despite some progress, academia has not yet created a large and diversified deepfake detection d...
Incremental input-to-state stability (delta-ISS) offers a robust framework to ensure that small input variations result in proportionally minor devi...
Training medical image segmentation models for rare yet clinically significant imaging modalities is challenging due to the scarcity of annotated da...
$360^\circ$ videos offer a hyper-immersive experience that allows the viewers to explore a dynamic scene from full 360 degrees. To achieve more user...
Video Virtual Try-on aims to seamlessly transfer a reference garment onto a target person in a video while preserving both visual fidelity and tempo...
Image quality degradation caused by raindrops is one of the most important but challenging problems that reduce the performance of vision systems. M...
In clinical practice of echocardiography examinations, multiple planes containing the heart structures of different view are usually required in scr...
Graphical User Interfaces (GUIs) are the primary means by which users interact with mobile applications, making them crucial to both app functionali...
Text-to-image generation models have revolutionized content creation, but diffusion-based vision-language models still face challenges in precisely ...
Recently, diffusion models have exhibited superior performance in the area of image inpainting. Inpainting methods based on diffusion models can usu...
Celiac disease is an autoimmune disorder triggered by the consumption of gluten. It causes damage to the villi, the finger-like projections in the s...
The river Ganga is one of the Earth's most critically important river basins, yet it faces significant pollution challenges, making it crucial to ev...
We consider the problem of hypothesis testing for discrete distributions. In the standard model, where we have sample access to an underlying distri...
Accurate segmentation of gross tumor volume (GTV) is essential for effective MRI-guided adaptive radiotherapy (MRgART) in head and neck cancer. Howe...
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) ultrasound images allow for the opportunity to investig...
BACKGROUND: The present study aimed to determine whether machine-learning (ML)-based models can predict 3-, 6, and 12-month responses to the monoclona...
BACKGROUND: Morphological and vascular characteristics of breast cancer can change during neoadjuvant chemotherapy (NAC). Dynamic contrast-enhanced ma...
Complex networks are susceptible to contagious cascades, underscoring the urgency for effective epidemic mitigation strategies. While physical quarant...