| Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge S Bakas, B Menze, M Reyes, et al. arXiv preprint arXiv:1811.02629, 2018 | 1521 | 2018 |
| Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 505 | 2018 |
| Rasa: Open source language understanding and dialogue management T Bocklisch, J Faulkner, N Pawlowski, A Nichol arXiv preprint arXiv:1712.05181, 2017 | 463 | 2017 |
| Deep structural causal models for tractable counterfactual inference N Pawlowski, D Coelho de Castro, B Glocker Advances in Neural Information Processing Systems 33, 857-869, 2020 | 139 | 2020 |
| Multi-modal learning from unpaired images: Application to multi-organ segmentation in CT and MRI VV Valindria, N Pawlowski, M Rajchl, I Lavdas, EO Aboagye, AG Rockall, ... 2018 IEEE winter conference on applications of computer vision (WACV), 547-556, 2018 | 105 | 2018 |
| Implicit weight uncertainty in neural networks N Pawlowski, A Brock, MCH Lee, M Rajchl, B Glocker arXiv preprint arXiv:1711.01297, 2017 | 104 | 2017 |
| TETRIS: Template transformer networks for image segmentation with shape priors MCH Lee, K Petersen, N Pawlowski, B Glocker, M Schaap IEEE transactions on medical imaging 38 (11), 2596-2606, 2019 | 89 | 2019 |
| Dltk: State of the art reference implementations for deep learning on medical images N Pawlowski, SI Ktena, MCH Lee, B Kainz, D Rueckert, B Glocker, ... arXiv preprint arXiv:1711.06853, 2017 | 89 | 2017 |
| Feature control as intrinsic motivation for hierarchical reinforcement learning N Dilokthanakul, C Kaplanis, N Pawlowski, M Shanahan IEEE transactions on neural networks and learning systems 30 (11), 3409-3418, 2019 | 86 | 2019 |
| Automating morphological profiling with generic deep convolutional networks N Pawlowski, JC Caicedo, S Singh, AE Carpenter, A Storkey BioRxiv, 085118, 2016 | 80 | 2016 |
| Does your dermatology classifier know what it doesn’t know? detecting the long-tail of unseen conditions AG Roy, J Ren, S Azizi, A Loh, V Natarajan, B Mustafa, N Pawlowski, ... Medical Image Analysis 75, 102274, 2022 | 78 | 2022 |
| Stochastic segmentation networks: Modelling spatially correlated aleatoric uncertainty M Monteiro, L Le Folgoc, D Coelho de Castro, N Pawlowski, B Marques, ... Advances in neural information processing systems 33, 12756-12767, 2020 | 77 | 2020 |
| Unsupervised lesion detection in brain ct using bayesian convolutional autoencoders N Pawlowski, MCH Lee, M Rajchl, S McDonagh, E Ferrante, K Kamnitsas, ... | 75 | 2018 |
| CytoGAN: generative modeling of cell images P Goldsborough, N Pawlowski, JC Caicedo, S Singh, AE Carpenter BioRxiv, 227645, 2017 | 62 | 2017 |
| Deep generative models in the real-world: An open challenge from medical imaging X Chen, N Pawlowski, M Rajchl, B Glocker, E Konukoglu arXiv preprint arXiv:1806.05452, 2018 | 60 | 2018 |
| Neuronet: fast and robust reproduction of multiple brain image segmentation pipelines M Rajchl, N Pawlowski, D Rueckert, PM Matthews, B Glocker arXiv preprint arXiv:1806.04224, 2018 | 37 | 2018 |
| Brainlesion: glioma, multiple sclerosis, stroke and traumatic brain injuries K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ... Springer International Publishing, 2018 | 36 | 2018 |
| A portable diagnostic device for cardiac magnetic field mapping JW Mooney, S Ghasemi-Roudsari, ER Banham, C Symonds, ... Biomedical Physics & Engineering Express 3 (1), 015008, 2017 | 30 | 2017 |
| Deep end-to-end causal inference T Geffner, J Antoran, A Foster, W Gong, C Ma, E Kiciman, A Sharma, ... arXiv preprint arXiv:2202.02195, 2022 | 29 | 2022 |
| Needles in haystacks: On classifying tiny objects in large images N Pawlowski, S Bhooshan, N Ballas, F Ciompi, B Glocker, M Drozdzal arXiv preprint arXiv:1908.06037, 2019 | 18 | 2019 |
Ben GlockerImperial College LondonVerified email at imperial.ac.uk
