Self-Supervised Medical Image Reconstruction
Reconstruction without ground-truth training data
Developed SPICER, a framework that jointly reconstructs images and calibrates coil sensitivities in a self-supervised manner, eliminating the need for ground-truth data in accelerated MRI. Published in Magnetic Resonance in Medicine (2024), building on SS-JIRCS (ICCVW 2021).