4 papers
Learning Mechanistic Subtypes of Neurodegeneration with a Physics-Informed Variational Autoencoder Mixture Model
Sanduni Pinnawala, Annabelle Hartanto, Ivor J. A. Simpson +1
Modelling the underlying mechanisms of neurodegenerative diseases demands methods that capture heterogeneous and spatially varying dynamics from sparse, high-dimensional neuroimagi…
Investigating the Role of Bilateral Symmetry for Inpainting Brain MRI
Sergey Kuznetsov, Sanduni Pinnawala, Peter A. Wijeratne +1
Inpainting has recently emerged as a valuable and interesting technology to employ in the analysis of medical imaging data, in particular brain MRI. A wide variety of methodologies…
Capturing Longitudinal Changes in Brain Morphology Using Temporally Parameterized Neural Displacement Fields
Aisha L. Shuaibu, Kieran A. Gibb, Peter A. Wijeratne +1
Longitudinal image registration enables studying temporal changes in brain morphology which is useful in applications where monitoring the growth or atrophy of specific structures…
Evaluating structural uncertainty in accelerated MRI: are voxelwise measures useful surrogates?
Luca L. C. Trautmann, Peter A. Wijeratne, Itamar Ronen +1
Introducing accelerated reconstruction algorithms into clinical settings requires measures of uncertainty quantification that accurately assess the relevant uncertainty introduced…