Search Results for author:
Found 5 papers, 1 papers with code
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning
Recent advancements in Large Language Models (LLMs) and Large Multi-modal Models (LMMs) have shown potential in various medical applications, such as Intelligent Medical Diagnosis.
GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction
In this paper, we proposed GACE, a graph-based cross-page ads embedding generation method.
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
The hybrid architecture of convolutional neural networks (CNNs) and Transformer are very popular for medical image segmentation.
Quantum Graph Learning: Frontiers and Outlook
However, facilitating quantum theory to enhance graph learning is in its infancy.
A Scalable AI Approach for Clinical Trial Cohort Optimization
FDA has been promoting enrollment practices that could enhance the diversity of clinical trial populations, through broadening eligibility criteria.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
