1 citations · 1 across the 7 of their papers we have counts for
7 papers
BEAM3R: Beam's-eye-view architecture with Mamba-3 for implicit dose reconstruction
Chen Cheng, Michael Ferraro, James Grover +2
To enable accurate and rapid photon control point and proton beamlet dose calculation in the DoseRAD2026 challenge, we present BEAM3R, a dose estimation framework operating in beam…
Closed-loop coupling of personalised and foundation models for real-time treatment guidance with MRI
James Grover, Emily A. Hewson, Andrew Phair +5
Image-guided therapies, including radiotherapy, biopsy and deep brain stimulation, rely on real-time targeting of anatomical structures. However, in the presence of motion, imaging…
Enhancing Ultra-low-field MRI with Segmentation-guided Adversarial Learning
James Grover, Andrew Phair, Michael Ferraro +1
Ultra-low-field (ULF) MRI offers portable and low-cost imaging but suffers from poor image quality. To address this, we present our submission to the 2025 ULF Enhancement Challenge…
Two-stage Respiratory Motion-resolved Radial MR Image Reconstruction Using an Interpretable Deep Unrolled Network
Shanshan Shan, Hongli Chen, Yuhan Wei +12
Due to the prolonged MRI encoding process, respiratory motion can cause undesired artifacts and image blurring, degrading image quality and limiting clinical applications in abdomi…
Design and Construction of a Dedicated Radiolucent 8-element Flexible Radiofrequency (RF) Torso Coil for the 1.0T Australian MRI-Linac System
Mingyan Li, Ewald Weber, David E. J. Waddington +6
Magnetic resonance imaging-guided linear accelerators (MRI-Linacs) are an emerging treatment technology that enable online soft-tissue visualisation and adaptive radiotherapy. The…
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…
Image Reconstruction with B0 Inhomogeneity using an Interpretable Deep Unrolled Network on an Open-bore MRI-Linac
Shanshan Shan, Yang Gao, David E. J. Waddington +8
MRI-Linac systems require fast image reconstruction with high geometric fidelity to localize and track tumours for radiotherapy treatments. However, B0 field inhomogeneity distorti…