Latest AI and machine learning research in work force for healthcare professionals.
Reinforcement learning (RL) has emerged as a powerful paradigm for fine-tuning large-scale generativ...
Recently, computer-aided diagnosis systems have been developed to support diagnosis, but their perfo...
Medical image segmentation remains a critical bottleneck in clinical workflows, from diagnostic radi...
Three-dimensional electron microscopy (3D EM) enables the quantitative analysis of cellular ultrastr...
Medical imaging datasets often suffer from class imbalance and limited availability of pathology-ric...
The shortage in early detection methods for the pathogen Burkholderia gladioli pv. cocovenenans (BGC...
Subject-consistent generation (SCG)-aiming to maintain a consistent subject identity across divers...
We investigate Machine-Learned Force Fields (MLFFs) trained on approximate Density Functional Theo...
Result diversification (RD) is a crucial technique in Text-to-Image Retrieval for enhancing the ef...
Soft tissue simulation in virtual environments is becoming increasingly important for medical appl...
Medical AI diagnosis including histopathology segmentation has derived benefits from the recent de...
With the rise and development of computer vision and LLMs, intelligence is everywhere, especially ...
Recent progress in large-scale reinforcement learning (RL) has notably enhanced the reasoning capa...
Current diversification strategies for text-to-image (T2I) models often ignore contextual appropri...
Current diversification strategies for text-to-image (T2I) models often ignore contextual appropri...
Low-dose computed tomography (LDCT) imaging employed in lung cancer screening (LCS) programs is in...
Emerging spatial profiling technologies have revolutionized our understanding of how tissue architec...
BACKGROUND: Recent advancements in general multimodal large language models (MLLMs) have led to subs...
INTRODUCTION: A shortage of trained retinal specialists has created a growing need for a telehealth ...
Brain tumors pose a severe health risk, often leading to fatal outcomes if not detected early. While...
Existing research on federated learning (FL) usually assumes that training labels are of high qualit...