Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Domain generalization is proposed to address distribution shift, arising from statistical disparit...
The real-time assessment of complex motor skills presents a challenge in fields such as surgical t...
The CLIP model has demonstrated significant advancements in aligning visual and language modalitie...
In this paper, we propose Jasmine, the first Stable Diffusion (SD)-based self-supervised framework...
Recruiting patients to participate in clinical trials can be challenging and time-consuming. Usual...
Background: Patient recruitment in clinical trials is hindered by complex eligibility criteria and...
Object detection aims to obtain the location and the category of specific objects in a given image...
Single Image Super-Resolution (SISR) aims to reconstruct high-resolution (HR) images from low-reso...
White balance (WB) correction in scenes with multiple illuminants remains a persistent challenge i...
The Polar Mellin Transform (PMT) is a well-known technique that converts images into shift, scale ...
Fire and smoke phenomena pose a significant threat to the natural environment, ecosystems, and glo...
The scientific and research community has benefited greatly from containerized distributed High Th...
Optical remote sensing image dehazing presents significant challenges due to its extensive spatial...
Federated learning (FL) is emerging as a promising technique for collaborative learning without lo...
With fully leveraging the value of unlabeled data, semi-supervised medical image segmentation algo...
In clinical imaging, magnetic resonance (MR) image volumes are often acquired as stacks of 2D slic...
In this work, a thorough mathematical framework for incorporating Large Language Models (LLMs) int...
Bridging different modalities lies at the heart of cross-modality generation. While conventional a...
In safe reinforcement learning, agent needs to balance between exploration actions and safety cons...
We propose a diffusion-based inverse rendering framework that decomposes a single RGB image into g...
Visual instructions for long-horizon tasks are crucial as they intuitively clarify complex concept...