9 citations · 15 across the 3 of their papers we have counts for
4 papers
Large Language Models for Structured Clinical Data Analysis: Dual-Agent Grounding and Validation
Erfan D. Dehkalani, Seetha Shankaran, Abbot R. Laptook +3
Objective: To develop and characterize CLEAR-Med, a dual-agent framework for natural-language analysis of structured clinical data that separates SQL-based invocation from independ…
Relation U-Net
Sheng He, Rina Bao, P. Ellen Grant +1
Towards clinical interpretations, this paper presents a new ''output-with-confidence'' segmentation neural network with multiple input images and multiple output segmentation maps…
U-Netmer: U-Net meets Transformer for medical image segmentation
Sheng He, Rina Bao, P. Ellen Grant +1
The combination of the U-Net based deep learning models and Transformer is a new trend for medical image segmentation. U-Net can extract the detailed local semantic and texture inf…
Deep Relation Learning for Regression and Its Application to Brain Age Estimation
Sheng He, Yanfang Feng, P. Ellen Grant +1
Most deep learning models for temporal regression directly output the estimation based on single input images, ignoring the relationships between different images. In this paper, w…