3 papers
eess.IV2026
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification
Jyun-Ping Kao, Jiaxin Yang, C. -C. Jay Kuo +1
Echocardiography is a cornerstone for managing heart failure (HF), with Left Ventricular Ejection Fraction (LVEF) being a critical metric for guiding therapy. However, manual LVEF…
eess.IV2025
Cross-Modal Fine-Tuning of 3D Convolutional Foundation Models for ADHD Classification with Low-Rank Adaptation
Jyun-Ping Kao, Shinyeong Rho, Shahar Lazarev +5
Early diagnosis of attention-deficit/hyperactivity disorder (ADHD) in children plays a crucial role in improving outcomes in education and mental health. Diagnosing ADHD using neur…
cs.CV2024
Treatment-wise Glioblastoma Survival Inference with Multi-parametric Preoperative MRI
Xiaofeng Liu, Nadya Shusharina, Helen A Shih +3
In this work, we aim to predict the survival time (ST) of glioblastoma (GBM) patients undergoing different treatments based on preoperative magnetic resonance (MR) scans. The perso…