1 citations · 2 across the 13 of their papers we have counts for
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Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss
Jiahua Li, James T. Grist, Fergus V. Gleeson +1
Long COVID is characterized by persistent symptoms, particularly pulmonary impairment, which necessitates advanced imaging for accurate diagnosis. Hyperpolarised Xenon-129 MRI (XeM…
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour Segmentation
Anissa Alloula, Daniel R McGowan, Bartłomiej W. Papież
Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) combined with Computed Tomography (CT) scans are critical in oncology to the identification of solid tumours and the monit…
Towards Automatic Scoring of Spinal X-ray for Ankylosing Spondylitis
Yuanhan Mo, Yao Chen, Aimee Readie +3
Manually grading structural changes with the modified Stoke Ankylosing Spondylitis Spinal Score (mSASSS) on spinal X-ray imaging is costly and time-consuming due to bone shape comp…
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention
Emmanuelle Bourigault, Daniel R. McGowan, Abolfazl Mehranian +1
Segmentation of head and neck (H\&N) tumours and prediction of patient outcome are crucial for patient's disease diagnosis and treatment monitoring. Current developments of robust…