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eess.IV2025
Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography
Zhijin He, Alan B. McMillan
The application of artificial intelligence (AI) in medical imaging has revolutionized diagnostic practices, enabling advanced analysis and interpretation of radiological data. This…
eess.IV2024
Embeddings are all you need! Achieving High Performance Medical Image Classification through Training-Free Embedding Analysis
Raj Hansini Khoiwal, Alan B. McMillan
Developing artificial intelligence (AI) and machine learning (ML) models for medical imaging typically involves extensive training and testing on large datasets, consuming signific…
eess.IV2024★ 4 cited
MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
Noel C. F. Codella, Ying Jin, Shrey Jain +28
In this work, we present MedImageInsight, an open-source medical imaging embedding model. MedImageInsight is trained on medical images with associated text and labels across a dive…