Longitudinal Brain MRI Analysis with Uncertain Registration. - Ivor J. A. Simpson; Mark William Woolrich; Adrian R. Groves; Julia A. Schnabel (MICCAI (2), 2011)

Probabilistic Segmentation Propagation from Uncertainty in Registration. - Ivor J. A. Simpson; Mark W. Woolrich; Julia A. Schnabel (MIUA, 2011)

A probabilistic non-rigid registration framework using local noise estimates. - Ivor J. A. Simpson; Mark William Woolrich; Jesper L. R. Andersson; Adrian R. Groves; Julia A. Schnabel (ISBI, 2012)

Probabilistic inference of regularisation in non-rigid registration. - Ivor J. A. Simpson; Julia A. Schnabel; Adrian R. Groves; Jesper L. R. Andersson; Mark William Woolrich (NeuroImage, 2012)

A Bayesian Approach for Spatially Adaptive Regularisation in Non-rigid Registration. - Ivor J. A. Simpson; Mark William Woolrich; Manuel Jorge Cardoso; David M. Cash; Marc Modat; Julia A. Schnabel; Sébastien Ourselin (MICCAI (2), 2013)

Ensemble Learning Incorporating Uncertain Registration. - Ivor J. A. Simpson; Mark William Woolrich; Jesper L. R. Andersson; Adrian R. Groves; Julia A. Schnabel (IEEE Trans. Medical Imaging, 2013)

Simulating Neurodegeneration through Longitudinal Population Analysis of Structural and Diffusion Weighted MRI Data. - Marc Modat; Ivor J. A. Simpson; Manuel Jorge Cardoso; David M. Cash; Nicolas Toussaint; Nick C. Fox; Sébastien Ourselin (MICCAI (3), 2014)

Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields. - Mattias P. Heinrich; Heinz Handels; Ivor J. A. Simpson (MICCAI (2), 2015)

Probabilistic non-linear registration with spatially adaptive regularisation. - Ivor J. A. Simpson; Manuel Jorge Cardoso; Marc Modat; David M. Cash; Mark W. Woolrich; Jesper L. R. Andersson; Julia A. Schnabel; Sébastien Ourselin (Medical Image Anal., 2015)

Deformable image registration by combining uncertainty estimates from supervoxel belief propagation. - Mattias P. Heinrich; Ivor J. A. Simpson; Bartlomiej W. Papiez; Michael Brady 001; Julia A. Schnabel (Medical Image Anal., 2016)

NiftyFit: a Software Package for Multi-parametric Model-Fitting of 4D Magnetic Resonance Imaging Data. - Andrew Melbourne; Nicolas Toussaint; David Owen 001; Ivor J. A. Simpson; Thanasis Anthopoulos; Enrico De Vita; David Atkinson; Sébastien Ourselin (Neuroinformatics, 2016)

Laplacian Pyramid of Conditional Variational Autoencoders. - Garoe Dorta; Sara Vicente; Lourdes Agapito; Neill D. F. Campbell; Simon Prince; Ivor Simpson (CVMP, 2017)

Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. - Jan Rühaak; Thomas Polzin; Stefan Heldmann; Ivor J. A. Simpson; Heinz Handels; Jan Modersitzki; Mattias P. Heinrich (IEEE Trans. Medical Imaging, 2017)

Structured Uncertainty Prediction Networks. - Garoe Dorta; Sara Vicente; Lourdes Agapito; Neill D. F. Campbell; Ivor Simpson (CVPR, 2018)

Training VAEs Under Structured Residuals. - Garoe Dorta; Sara Vicente; Lourdes Agapito; Neill D. F. Campbell; Ivor Simpson (CoRR, 2018)

The GAN That Warped: Semantic Attribute Editing With Unpaired Data. - Garoe Dorta; Sara Vicente; Neill D. F. Campbell; Ivor J. A. Simpson (CVPR, 2020)

Smartphone location identification and transport mode recognition using an ensemble of generative adversarial networks. - Lukas Günthermann; Ivor Simpson; Daniel Roggen (UbiComp/ISWC Adjunct, 2020)

A variational autoencoder for music generation controlled by tonal tension. - Rui Guo; Ivor Simpson; Thor Magnusson; Chris Kiefer; Dorien Herremans (CoRR, 2020)

Learning Structured Gaussians to Approximate Deep Ensembles. - Ivor J. A. Simpson; Sara Vicente; Neill D. F. Campbell (CVPR, 2022)

MusIAC: An Extensible Generative Framework for Music Infilling Applications with Multi-level Control. - Rui Guo; Ivor Simpson; Chris Kiefer; Thor Magnusson; Dorien Herremans (EvoMUSART, 2022)

Cell Anomaly Localisation using Structured Uncertainty Prediction Networks. - Boyko Vodenicharski; Samuel McDermott; Katherine M. Webber; Viola Introini; Pietro Cicuta; Richard W. Bowman; Ivor J. A. Simpson; Neill D. F. Campbell (MIDL, 2022)

Motion Correction in Low SNR MRI Using an Approximate Rician Log-Likelihood. - Ivor J. A. Simpson; Balázs Örzsik; Neil A. Harrison; Iris Asllani; Mara Cercignani (WBIR, 2022)

Flexible Amortized Variational Inference in qBOLD MRI. - Ivor J. A. Simpson; Ashley McManamon; Alan J. Stone; Nicholas P. Blockley; Alessandro Colasanti; Mara Cercignani (CoRR, 2022)

Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance. - Margaret Duff; Ivor J. A. Simpson; Matthias J. Ehrhardt; Neill D. F. Campbell (CoRR, 2022)

The Robust Semantic Segmentation UNCV2023 Challenge Results. - Xuanlong Yu; Yi Zuo; Zitao Wang; Xiaowen Zhang; Jiaxuan Zhao; Yuting Yang 008; Licheng Jiao; Rui Peng; Xinyi Wang; Junpei Zhang; Kexin Zhang 003; Fang Liu 001; et al. (ICCV (Workshops), 2023)

HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image Registration. - Aisha L. Shuaibu; Ivor J. A. Simpson (CoRR, 2024)

Towards interpretable learned representations for ecoacoustics using variational auto-encoding. - Kieran A. Gibb; Alice Eldridge; Christopher J. Sandom; Ivor J. A. Simpson (Ecol. Informatics, 2024)

How Should We Evaluate Uncertainty in Accelerated MRI Reconstruction? - Luca Trautmann; Peter A. Wijeratne; Itamar Ronen; Ivor Simpson (CoRR, 2025)

Capturing Longitudinal Changes in Brain Morphology Using Temporally Parameterized Neural Displacement Fields. - Aisha L. Shuaibu; Kieran A. Gibb; Peter A. Wijeratne; Ivor J. A. Simpson (CoRR, 2025)

Investigating the Role of Bilateral Symmetry for Inpainting Brain MRI. - Sergey Kuznetsov; Sanduni Pinnawala; Peter A. Wijeratne; Ivor J. A. Simpson (CoRR, 2025)