Latest AI and machine learning research in transplantation for healthcare professionals.
Accurate kinetic analysis of [$^{18}$F]FDG distribution in dynamic positron emission tomography (P...
Age prediction from medical images or other health-related non-imaging data is an important approa...
Printed and flexible electronics (PFE) have emerged as the ubiquitous solution for application dom...
Many soft robots struggle to produce dynamic motions with fast, large displacements. We develop a ...
Personalized outfit generation aims to construct a set of compatible and personalized fashion item...
In radiation therapy planning, inaccurate segmentations of organs at risk can result in suboptimal...
Diffusion Probabilistic Models (DPMs) have demonstrated significant potential in 3D medical image ...
Multi-modal large language models (MLLMs) have made significant progress, yet their safety alignme...
The segmentation of multiple organs in multi-parametric MRI studies is critical for many applicati...
Reliable localization is critical for robot navigation in complex indoor environments. In this pap...
Large language models (LLMs) have increasingly been used to extract critical information from unstru...
Instance segmentation plays a pivotal role in medical image analysis by enabling precise localizat...
We examine the performance of an Integrated Access and Backhaul (IAB) node as a range extender for...
LLMs have gained immense popularity among researchers and the general public for its impressive ca...
The increasing adoption of UAVs with advanced sensors and GPU-accelerated edge computing has enabl...
Diffusion models are widely used for image editing tasks. Existing editing methods often design a ...
Despite the impressive performance across a wide range of applications, current computational path...
In recent years, deep learning methods such as convolutional neural network (CNN) and transformers...
Background: The HERMES Kiosk (Healthcare Enhanced Recommendations through Artificial Intelligence ...
Complex cell signaling systems -- governed by varying protein abundances and interactions -- gener...
Recent advances in general medical AI have made significant strides, but existing models often lac...