Latest AI and machine learning research in covid-19 for healthcare professionals.
Nowadays, social media is the main tool in our new lives. The outbreak news and all related obtained from social media, and mob events affect the of spread these news fast. Recently, epidemiological models to study disease spread and analyze the behavior of mob groups by dealing with "contagions" that propagate through user networks. In this research, we introduced a mathematical model to analyz...
Menisci are cartilaginous tissue found within the knee that contribute to joint lubrication and weight dispersal. Damage to menisci can lead to onset and progression of knee osteoarthritis (OA), a condition that is a leading cause of disability, and for which there are few effective therapies. Accurate automated segmentation of menisci would allow for earlier detection and treatment of meniscal ...
We present MaskMark, a simple, efficient, and flexible framework for image watermarking. MaskMark has two variants: (1) MaskMark-D, which supports g...
Recent advancements in image editing have utilized large-scale multimodal models to enable intuitive, natural instruction-driven interactions. Howev...
Given a single labeled example, in-context segmentation aims to segment corresponding objects. This setting, known as one-shot segmentation in few-s...
Artificial intelligence has revolutionized the way we analyze sports videos, whether to understand the actions of games in long untrimmed videos or ...
Testing Android apps effectively requires a systematic exploration of the app's possible states by simulating user interactions and system events. W...
We revisit extending the Kolmogorov-Smirnov distance between probability distributions to the multidimensional setting and make new arguments about ...
The National Covid Memorial Wall in London, featuring over 240,000 hand-painted red hearts, faces significant conservation challenges due to the rap...
Document Reading Order Recovery is a fundamental task in document image understanding, playing a pivotal role in enhancing Retrieval-Augmented Gener...
In robot-assisted laparoscopic radical prostatectomy (RALP), the location of the instrument tip is important to register the ultrasound frame with t...
Remote sensing has become critical for understanding environmental dynamics, urban planning, and disaster management. However, traditional remote se...
In this study, we present seg2med, an advanced medical image synthesis framework that uses Denoising Diffusion Probabilistic Models (DDPM) to genera...
Existing Masked Image Modeling methods apply fixed mask patterns to guide the self-supervised training. As those mask patterns resort to different c...
Text-to-image (T2I) diffusion models have achieved remarkable success in generating high-quality images from textual prompts. However, their ability...
We study the relative-error property testing model for Boolean functions that was recently introduced in the work of Chen et al. (SODA 2025). In rel...
Current Few Shot Segmentation literature lacks a mask selection method that goes beyond visual similarity between the query and example images, lead...
Sparse-view sampling in dual-energy computed tomography (DECT) significantly reduces radiation dose and increases imaging speed, yet is highly prone...
Software testing is crucial for ensuring software quality, yet developers' engagement with it varies widely. Identifying the technical, organization...
[Context:] The acceptance of candidate patches in automated program repair has been typically based on testing oracles. Testing requires typically a...