Nick Pawlowski
TitleCited byYear
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
1192018
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
1082018
Rasa: Open source language understanding and dialogue management
T Bocklisch, J Faulkner, N Pawlowski, A Nichol
arXiv preprint arXiv:1712.05181, 2017
502017
Implicit weight uncertainty in neural networks
N Pawlowski, A Brock, MCH Lee, M Rajchl, B Glocker
arXiv preprint arXiv:1711.01297, 2017
342017
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
322017
Automating morphological profiling with generic deep convolutional networks
N Pawlowski, JC Caicedo, S Singh, AE Carpenter, A Storkey
BioRxiv, 085118, 2016
26*2016
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
182019
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
162018
CytoGAN: generative modeling of cell images
P Goldsborough, N Pawlowski, JC Caicedo, S Singh, A Carpenter
bioRxiv, 227645, 2017
16*2017
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
142018
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
122017
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
112018
Unsupervised lesion detection in brain CT using bayesian convolutional autoencoders
N Pawlowski, MCH Lee, M Rajchl, S McDonagh, E Ferrante, K Kamnitsas, ...
102018
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
82019
Efficient variational Bayesian neural network ensembles for outlier detection
N Pawlowski, M Jaques, B Glocker
arXiv preprint arXiv:1703.06749, 2017
42017
Towards Image-Based Morphological Profiling using Deep Learning Techniques
N Pawlowski
MSc thesis, University of Edinburgh, 2016
22016
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound
Q Meng, N Pawlowski, D Rueckert, B Kainz
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image …, 2019
12019
Unsupervised Lesion Detection with Locally Gaussian Approximation
X Chen, N Pawlowski, B Glocker, E Konukoglu
International Workshop on Machine Learning in Medical Imaging, 355-363, 2019
2019
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
2019
Is Texture Predictive for Age and Sex in Brain MRI?
N Pawlowski, B Glocker
arXiv preprint arXiv:1907.10961, 2019
2019
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Articles 1–20