16 citations · 19 across the 5 of their papers we have counts for
5 papers
Ultra-low field 13C MRI of hyperpolarized pyruvate
Thomas Boele, Stephen J. McBride, Megan Pike +10
Medicine is evolving beyond therapy largely predicated on anatomical information and towards incorporating patient-specific molecular biomarkers of disease for more accurate diagno…
Accelerating Low-field MRI: From Compressed Sensing to Deep Learning Reconstruction with CNNs and Transformers
Efrat Shimron, Shanshan Shan, James Grover +7
Portable, low-field Magnetic Resonance Imaging (MRI) scanners are increasingly being deployed in clinical settings. However, key barriers to their widespread use include low signal…
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz
Danyal F. Bhutto, Bo Zhu, Jeremiah Z. Liu +4
Accurate image reconstruction is at the heart of diagnostics in medical imaging. Supervised deep learning-based approaches have been investigated for solving inverse problems inclu…
Synthetic Low-Field MRI Super-Resolution Via Nested U-Net Architecture
Aryan Kalluvila, Neha Koonjoo, Danyal Bhutto +2
Low-field (LF) MRI scanners have the power to revolutionize medical imaging by providing a portable and cheaper alternative to high-field MRI scanners. However, such scanners are u…
On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy
David E. J. Waddington, Nicholas Hindley, Neha Koonjoo +8
MRI-guidance techniques that dynamically adapt radiation beams to follow tumor motion in real-time will lead to more accurate cancer treatments and reduced collateral healthy tissu…