Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Clinical deployment of chest radiograph classifiers requires models that can be updated as new datas...
Super-resolution is widely used in medical imaging to enhance low-quality data, reducing scan time a...
Personalized text-to-image generation aims to integrate specific identities into arbitrary contexts....
Diffusion-based image generators are promising priors for ill-posed inverse problems like sparse-vie...
Efficient coding is essential for sensory systems to extract meaningful information from the environ...
Language processing is supported by distributed neural systems. Yet most research examines these sys...
In machine learning, "ground truth" refers to the assumed correct labels used to train and evaluate ...
Object-level manipulation, relocating or reorienting objects in images or videos while preserving sc...
Speech is a defining human behavior, and this ability depends critically on speech motor cortex. Whi...
Modern segmentation models achieve strong predictive performance but remain largely opaque, limiting...
Large-scale diffusion models such as FLUX (12B parameters) and Stable Diffusion 3 (8B parameters) re...
Synthetic data provide low-cost, accurately annotated samples for geometry-sensitive vision tasks, b...
Synthetic data provide low-cost, accurately annotated samples for geometry-sensitive vision tasks, b...
Fine-tuning large language models (LLMs) for specialized domains often necessitates a trade-off betw...
Objective To characterize the clinical and administrative concerns communicated through secure ophth...
Robust generalization under distribution shift remains difficult to monitor and optimize in the abse...
Unsupervised anomaly detection stands as an important problem in machine learning, with applications...
Masked Autoencoders (MAEs) achieve impressive performance in image classification tasks, yet the int...
Introduction: In neurosurgery, image-guided Neurosurgery Systems (IGNS) highly rely on preoperative ...
Despite being trained on balanced datasets, existing AI-generated image detectors often exhibit syst...
Continual learning aims to acquire tasks sequentially without catastrophic forgetting, yet standard ...