1.7k citations · 2.7k across the 27 of their papers we have counts for
27 papers
A statistical learning framework for mapping indirect measurements of ergodic systems to emergent properties
Nicholas Hindley, Stephen J. DeVience, Ella Zhang +2
The discovery of novel experimental techniques often lags behind contemporary theoretical understanding. In particular, it can be difficult to establish appropriate measurement pro…
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…
Homonuclear J-Coupling Spectroscopy using J-Synchronized Echo Detection
Stephen J. DeVience, Matthew S. Rosen
In the strong coupling regime with J-coupling much larger than chemical shift differences, J-coupling spectroscopy enables spectral identification of molecules even when convention…
RASER MRI: Magnetic Resonance Images formed Spontaneously exploiting Cooperative Nonlinear Interaction
Sören Lehmkuhl, Simon Fleischer, Lars Lohmann +5
The spatial resolution of magnetic resonance imaging (MRI) is fundamentally limited by the width of Lorentzian point spread functions (PSF) associated with the exponential decay ra…
Accurate super-resolution low-field brain MRI
Juan Eugenio Iglesias, Riana Schleicher, Sonia Laguna +7
The recent introduction of portable, low-field MRI (LF-MRI) into the clinical setting has the potential to transform neuroimaging. However, LF-MRI is limited by lower resolution an…