4 New IEEE Publications from our lab!

4 New IEEE Publications from Our Lab!

IEEE EMBC 2025
1. Liver Cirrhosis Stage Estimation from MRI with Deep Learning
Our latest framework significantly enhances the ability to diagnose and manage liver cirrhosis through deep learning and MRI, establishing new benchmarks in medical imaging.
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IEEE ACDSA 2025
2. Uncertainty-Guided Coarse-to-Fine Tumor Segmentation
This novel segmentation method integrates uncertainty quantification and anatomical knowledge, markedly improving accuracy and reliability in lung tumor detection on CT images.
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IEEE ACDSA 2025
3. Predicting Pulmonary Fibrosis Risk in Long COVID Patients
Leveraging deep learning and radiomics, this study delivers the first computational tool for early and accurate prediction of lung fibrosis in Long COVID patients.
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IEEE EMBC 2025
4. Gaze-Guided Medical Image Segmentation using SAM Foundation Model
Our innovative gaze-driven segmentation approach facilitates rapid, training-free image analysis, ideal for enhancing real-time clinical diagnostics.
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