Latest AI and machine learning research in transplantation for healthcare professionals.
Existing segmentation models trained on a single medical imaging dataset often lack robustness whe...
Our research addresses the critical challenge of managing blood transfusions and optimizing alloca...
Disentangling user intentions from implicit feedback has become a promising strategy to enhance re...
Autoregressive visual generation has garnered increasing attention due to its scalability and comp...
This paper presents a joint system modeling approach for fault simulation of all-electric auxiliar...
Accurate classification of software bugs is essential for improving software quality. This paper p...
As textual reasoning with large language models (LLMs) has advanced significantly, there has been ...
Open-set domain generalization(OSDG) for hyperspectral image classification presents significant c...
Achieving consistent color reproduction across multiple cameras is essential for seamless image fu...
The performance and reliability of machine learning (ML)-quantitative structure-property relationshi...
Designing model architectures requires decisions such as selecting operators (e.g., attention, con...
Cued Speech (CS) enhances lipreading through hand coding, providing precise speech perception supp...
Current large language model (LLM) agents lack authentic human psychological processes necessary f...
Modern recommendation systems rely on exploration to learn user preferences for new items, typical...
Purpose: This study aims to evaluate the effectiveness of large language models (LLMs) in automati...
With the advancement of language models, unified multimodal understanding and generation have made...
Large Language Models (LLMs) have achieved state-of-the-art results across diverse domains, yet th...
Vision-language models, such as CLIP, have achieved significant success in aligning visual and tex...
Graph Neural Networks (GNNs) have recently been found to excel in histopathology. However, an impo...
With the advancement of diffusion models, there is a growing demand for high-quality, controllable...
Purpose: Accurate segmentation of clinical target volumes (CTV) and organs-at-risk is crucial for ...