4 papers
Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion
Wasif Khan, John Rees, Kyle B. See +12
Perfusion imaging is extensively utilized to assess hemodynamic status and tissue perfusion in various organs. Computed tomography perfusion (CTP) imaging plays a key role in the e…
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation
Md Mahfuz Al Hasan, Mahdi Zaman, Abdul Jawad +9
Transformer-based architectures have advanced medical image analysis by effectively modeling long-range dependencies, yet they often struggle in 3D settings due to substantial memo…
A Comprehensive Survey of Foundation Models in Medicine
Wasif Khan, Seowung Leem, Kyle B. See +3
Foundation models (FMs) are large-scale deep learning models trained on massive datasets, often using self-supervised learning techniques. These models serve as a versatile base fo…
BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation
Joseph Cox, Peng Liu, Skylar E. Stolte +5
The burgeoning field of brain health research increasingly leverages artificial intelligence (AI) to interpret and analyze neurological data. This study introduces a novel approach…