22 citations · 32 across the 3 of their papers we have counts for
3 papers
Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
Yilmaz Korkmaz, Tolga Cukur, Vishal M. Patel
Magnetic Resonance Imaging (MRI) produces excellent soft tissue contrast, albeit it is an inherently slow imaging modality. Promising deep learning methods have recently been propo…
Ambiguous Medical Image Segmentation using Diffusion Models
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu +1
Collective insights from a group of experts have always proven to outperform an individual's best diagnostic for clinical tasks. For the task of medical image segmentation, existin…
Deep-learning-enabled Brain Hemodynamic Mapping Using Resting-state fMRI
Xirui Hou, Pengfei Guo, Puyang Wang +18
Cerebrovascular disease is a leading cause of death globally. Prevention and early intervention are known to be the most effective forms of its management. Non-invasive imaging met…