Vodenicharski, Boyko, McDermott, Samuel, Webber, Katherine, Introini, Viola, Cicuta, Pietro, Bowman, Richard, Simpson, Ivor J A and Campbell, Neill D F (2022) Cell anomaly localisation using structured uncertainty prediction networks. Medical Imaging with Deep Learning (MIDL 2022), Zürich, Switzerland, 6-8 July 2022. Published in: Proceedings of Machine Learning Research. 1285-1300. PMLR ISSN 2640-3498

Simpson, Ivor J A, Vicente, Sara and Campbell, Neil D F (2022) Learning structured gaussians to approximate deep ensembles. IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), New Orleans, Louisiana, USA, 19-24 June 2022. Published in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1-9. IEEE/CVF ISSN 2575-7075 ISBN 9781665469463

Simpson, Ivor J A, Örzsik, Balázs, Harrison, Neil, Asllani, Iris and Cercignani, Mara (2022) Motion correction in low SNR MRI using an approximate rician log-likelihood. In: Hering, Alessa, Schnabel, Julia, Zhang, Miaomiao, Ferrante, Enzo, Heinrich, Mattias and Rueckert, Daniel (eds.) Biomedical Image Registration. Lecture Notes in Computer Science, 13386 . Springer Cham, pp. 147-155. ISBN 9783031112027

Gunthermann, Lukas, Wang, Lin, Simpson, Ivor, Philippides, Andrew and Roggen, Daniel (2022) Adversarial learning in accelerometer based transportation and locomotion mode recognition. In: Razavi-Far, Roozbeh, Ruiz-Garcia, Ariel, Palade, Vasile and Schmidhuber, Juergen (eds.) Generative adversarial learning: architectures and applications. Intelligent Systems Reference Library, 217 . Springer, Cham, pp. 205-232. ISBN 9783030913892

Günthermann, Lukas, Simpson, Ivor and Roggen, Daniel (2020) Smartphone location identification and transport mode recognition using an ensemble of generative adversarial networks. UbiComp/ISWC '20, Virtual Event Mexico, September, 2020. Published in: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers. 311-316. ACM, NY, United States. ISBN 9781450380768

Dorta, Garoe, Vicente, Sara, Campbell, Neill D F and Simpson, Ivor J A (2020) The GAN that warped: semantic attribute editing with unpaired data. Computer Vision and Pattern Recognition (CVPR) 2020, Seattle, USA, 16 - 20 June, 2020. Published in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Xplore ISSN 1063-6919 ISBN 9781728171692

Dorta, Garoe, Vicente, Sara, Agapito, Lourdes, Campbell, Neill D F and Simpson, Ivor (2018) Structured uncertainty prediction networks. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, USA, 18-23 June 2018. Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE ISSN 1063-6919 ISBN 9781538664216

Rühaak, Jan, Polzin, Thomas, Heldmann, Stefan, Simpson, Ivor J A, Handels, Heinz, Modersitzki, Jan and Heinrich, Mattias P (2017) Estimation of large motion in lung CT by integrating regularized keypoint correspondences into dense deformable registration. IEEE Transactions on Medical Imaging, 36 (8). pp. 1746-1757. ISSN 0278-0062

Heinrich, Mattias P, Simpson, Ivor J A, Papież, BartŁomiej W, Brady, Sir Michael and Schnabel, Julia A (2016) Deformable image registration by combining uncertainty estimates from supervoxel belief propagation. Medical Image Analysis, 27. pp. 57-71. ISSN 1361-8415

Simpson, I J A, Cardoso, M J, Modat, M, Cash, D M, Woolrich, M W, Andersson, J L R, Schnabel, J A and Ourselin, S (2015) Probabilistic non-linear registration with spatially adaptive regularisation. Medical Image Analysis, 26 (1). pp. 203-216. ISSN 1361-8415

Mahoney, Colin J, Simpson, Ivor J A, Nicholas, Jennifer M, Fletcher, Phillip D, Downey, Laura E, Golden, Hannah L, Clark, Camilla N, Schmitz, Nicole, Rohrer, Jonathan D, Schott, Jonathan M, Zhang, Hui, Ourselin, Sebastian, Warren, Jason D and Fox, Nick C (2015) Longitudinal diffusion tensor imaging in frontotemporal dementia. Annals of Neurology, 77 (1). pp. 33-46. ISSN 1531-8249