566 citations · 702 across the 18 of their papers we have counts for
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L-TGVN: Leveraging Longitudinal Priors for Personalized Rapid MRI
Arda Atalık, Sumit Chopra, Daniel K. Sodickson
MRI provides excellent soft-tissue contrast without ionizing radiation, but long acquisition times increase patient discomfort while also raising exam costs and limiting scanner th…
A Trust-Guided Approach to MR Image Reconstruction with Side Information
Arda Atalık, Sumit Chopra, Daniel K. Sodickson
Reducing MRI scan times can improve patient care and lower healthcare costs. Many acceleration methods are designed to reconstruct diagnostic-quality images from sparse k-space dat…
HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis
Haoxu Huang, Cem M. Deniz, Kyunghyun Cho +2
Chest X-ray imaging is a widely accessible and non-invasive diagnostic tool for detecting thoracic abnormalities. While numerous AI models assist radiologists in interpreting these…
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis
Divyam Madaan, Daniel Sodickson, Kyunghyun Cho +1
Magnetic Resonance Imaging (MRI) is considered the gold standard of medical imaging because of the excellent soft-tissue contrast exhibited in the images reconstructed by the MRI p…