3 papers
cs.CV2025
Multi-Contrast Fusion Module: An attention mechanism integrating multi-contrast features for fetal torso plane classification
Shengjun Zhu, Siyu Liu, Runqing Xiong +4
Purpose: Prenatal ultrasound is a key tool in evaluating fetal structural development and detecting abnormalities, contributing to reduced perinatal complications and improved neon…
eess.IV2025
Multi-Center Study on Deep Learning-Assisted Detection and Classification of Fetal Central Nervous System Anomalies Using Ultrasound Imaging
Yang Qi, Jiaxin Cai, Jing Lu +4
Prenatal ultrasound evaluates fetal growth and detects congenital abnormalities during pregnancy, but the examination of ultrasound images by radiologists requires expertise and so…
cs.CL2024
CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 Patients
Shengjun Zhu, Siyu Liu, Yang Li +9
Coronavirus Disease 2019 (COVID-19), which emerged in 2019, has caused millions of deaths worldwide. Although effective vaccines have been developed to mitigate severe symptoms, ce…