Latest AI and machine learning research in work force for healthcare professionals.
Adversarial Training (AT) is a widely adopted defense against adversarial examples. However, exist...
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...
Diffusion models has underpinned much recent advances of dataset augmentation in various computer ...
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 ...
Fourier ptychography (FP) is a powerful light-based synthetic aperture imaging technique that allo...
The foundational capabilities of large language models (LLMs) are deeply influenced by the quality...
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...
Recent advancements in deep learning for medical image segmentation are often limited by the scarc...
Foundation models are usually pre-trained on large-scale datasets and then adapted to different down...
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...
IMPORTANCE: The US healthcare system faces significant challenges, including clinician burnout, oper...