Ivor J. A. Simpson

According to our database, Ivor J. A. Simpson authored at least 26 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image Registration.

Aisha L. Shuaibu, Ivor J. A. Simpson

CoRR, 2024

2023

The Robust Semantic Segmentation UNCV2023 Challenge Results.

Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

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

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

Proceedings of the Biomedical Image Registration - 10th International Workshop, 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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

MusIAC: An Extensible Generative Framework for Music Infilling Applications with Multi-level Control.

Rui Guo, Ivor Simpson, Chris Kiefer, Thor Magnusson, Dorien Herremans

Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2022

Learning Structured Gaussians to Approximate Deep Ensembles.

Ivor J. A. Simpson, Sara Vicente, Neill D. F. Campbell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

A variational autoencoder for music generation controlled by tonal tension.

Rui Guo, Ivor Simpson, Thor Magnusson, Chris Kiefer, Dorien Herremans

CoRR, 2020

Smartphone location identification and transport mode recognition using an ensemble of generative adversarial networks.

Lukas Günthermann, Ivor Simpson, Daniel Roggen

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

The GAN That Warped: Semantic Attribute Editing With Unpaired Data.

Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor J. A. Simpson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Training VAEs Under Structured Residuals.

Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Ivor Simpson

CoRR, 2018

Structured Uncertainty Prediction Networks.

Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Ivor Simpson

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Laplacian Pyramid of Conditional Variational Autoencoders.

Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Simon Prince, Ivor Simpson

Proceedings of the 14th European Conference on Visual Media Production (CVMP 2017), 2017

2016

NiftyFit: a Software Package for Multi-parametric Model-Fitting of 4D Magnetic Resonance Imaging Data.

Andrew Melbourne, Nicolas Toussaint, David Owen, Ivor J. A. Simpson, Thanasis Anthopoulos, Enrico De Vita, David Atkinson, Sébastien Ourselin

Neuroinformatics, 2016

Deformable image registration by combining uncertainty estimates from supervoxel belief propagation.

Mattias P. Heinrich, Ivor J. A. Simpson, Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel

Medical Image Anal., 2016

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

Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields.

Mattias P. Heinrich, Heinz Handels, Ivor J. A. Simpson

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

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

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

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 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

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Probabilistic Segmentation Propagation from Uncertainty in Registration.

Ivor J. A. Simpson, Mark W. Woolrich, Julia A. Schnabel

Proceedings of the Medical Image Understanding and Analysis, 2011

Longitudinal Brain MRI Analysis with Uncertain Registration.

Ivor J. A. Simpson, Mark William Woolrich, Adrian R. Groves, Julia A. Schnabel

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011