Latest AI and machine learning research in pain management for healthcare professionals.
Attention-based transformers have played an important role in wireless sensor network (WSN) timing...
Transformers have become the backbone of neural network architecture for most machine learning app...
Large Language Models (LLMs) have made significant strides in natural language generation but ofte...
Electrocardiogram (ECG) analysis is a fundamental tool for diagnosing cardiovascular conditions, y...
Continuous Latent Space (CLS) and Discrete Latent Space (DLS) models, like AttnUNet and VQUNet, ha...
Transcription factors are proteins that regulate the expression of genes by binding to specific ge...
Feature selection is an important but challenging task in causal inference for obtaining unbiased ...
Microinfarcts and microhemorrhages are characteristic lesions of cerebrovascular disease. Although m...
Semantic segmentation assigns labels to pixels in images, a critical yet challenging task in compu...
We introduce BCAT, a PDE foundation model designed for autoregressive prediction of solutions to t...
Electronic health records (EHRs) provide a comprehensive source of longitudinal patient data, enco...
Gliomas are the most common primary tumors of the central nervous system. Multimodal MRI is widely...
We introduce a novel segmentation-aware joint training framework called generative reinforcement n...
Image restoration aims to recover details and enhance contrast in degraded images. With the growin...
Dynamic functional connectivity (dFC) using resting-state functional magnetic resonance imaging (r...
Alzheimer's disease (AD) is a neurodegenerative disorder affecting millions worldwide, necessitati...
Emotion recognition has a wide range of applications in human-computer interaction, marketing, hea...
Higher$\text{-}$order Markov chain models are widely used to represent agent transitions in dynami...
While tobacco advertising innovates at unprecedented speed, traditional surveillance methods remai...
Longitudinal MRI analysis is crucial for predicting disease outcomes, particularly in chronic cond...
The challenge of missing data remains a significant obstacle across various scientific domains, ne...