Latest AI and machine learning research in medical education for healthcare professionals.
Semi-supervised learning (SSL) has emerged as a critical paradigm for medical image segmentation, mi...
Decision-making in drug development spans heterogeneous stages from molecular design to clinical opt...
The mRNA serves as a crucial bridge between DNA and proteins. Compared to DNA, mRNA sequences are mu...
Event-based multimodal large language models (MLLMs) enable robust perception in high-speed and low-...
World models offer a principled framework for simulating future states under interventions, but real...
Deploying learned control policies on humanoid robots is challenging: policies that appear robust in...
Extending 3D Gaussian Splatting (3DGS) to 4D physical simulation remains challenging. Based on the M...
Exoskeletons show great promise for enhancing mobility, but providing appropriate assistance remains...
The Urban Heat Island (UHI) effect, defined as a significant increase in temperature in urban enviro...
Protein design seeks optimal amino acid sequences for target structures, but designing stable protei...
Content-preserving style transfer, generating stylized outputs based on content and style references...
Purpose: To simulate effective transverse relaxation ($T_2^*$) as a part of MR simulation. $T_2^*$ c...
Uncertainty in medical image segmentation is inherently non-uniform, with boundary regions exhibitin...
Adapting Large Language Models (LLMs) to specialized domains without human-annotated data is a cruci...
This report addresses larger-than-memory image analysis for petascale datasets such as 1.4 PB electr...
Single Image Reflection Separation (SIRS) disentangles mixed images into transmission and reflection...
High-quality 3D garment reconstruction plays a crucial role in mitigating the sim-to-real gap in app...
Robust machine learning for regulatory genomics is studied under biologically and technically induce...
Single-Photon Avalanche Diodes (SPADs) are new and promising imaging sensors. These sensors are sens...
We introduce SANDesc, a Streamlined Attention-Based Network for Descriptor extraction that aims to i...
Surgical action triplet recognition aims to understand fine-grained surgical behaviors by modeling t...