16 citations · 16 across the 3 of their papers we have counts for
3 papers
Enabling Real-Time Volumetric Imaging in Interventional Radiology Suits via a Deep Learning Framework Robust to C-arm Tilt
Fawazilla Utomo, Tess Reynolds, Nicholas Hindley
Contemporary interventional imaging lacks the real-time 3D guidance needed for the precise localization of mobile thoracic targets. While Cone-Beam CT (CBCT) provides 3D data, it i…
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…
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…