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Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions


Apr 08, 2021
Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zach Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Greg S. Corrado, Umesh Telang, Yun Liu, Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens

* Under Review, 19 Pages 

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Deep Structural Causal Models for Tractable Counterfactual Inference


Jun 11, 2020
Nick Pawlowski, Daniel C. Castro, Ben Glocker


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Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty


Jun 10, 2020
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker

* 17 pages, 11 figures, 2 tables 

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An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection


Feb 24, 2020
Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat, Nick Pawlowski, Poramate Manoonpong, Nat Dilokthanakul

* 13 pages and 9 figures 

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Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound


Aug 21, 2019
Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz


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Needles in Haystacks: On Classifying Tiny Objects in Large Images


Aug 16, 2019
Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal


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Is Texture Predictive for Age and Sex in Brain MRI?


Jul 25, 2019
Nick Pawlowski, Ben Glocker


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Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging


Jun 14, 2018
Xiaoran Chen, Nick Pawlowski, Martin Rajchl, Ben Glocker, Ender Konukoglu

* 10 pages. 3 figures 

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NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines


Jun 11, 2018
Martin Rajchl, Nick Pawlowski, Daniel Rueckert, Paul M. Matthews, Ben Glocker

* International conference on Medical Imaging with Deep Learning (MIDL) 2018 

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Implicit Weight Uncertainty in Neural Networks


May 25, 2018
Nick Pawlowski, Andrew Brock, Matthew C. H. Lee, Martin Rajchl, Ben Glocker

* Submitted to NIPS 2018, under review 

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Rasa: Open Source Language Understanding and Dialogue Management


Dec 15, 2017
Tom Bocklisch, Joey Faulkner, Nick Pawlowski, Alan Nichol

* Presented at NIPS Workshop on Conversational AI, Code at https://github.com/RasaHQ 

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Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning


Nov 22, 2017
Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski, Murray Shanahan


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DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images


Nov 18, 2017
Nick Pawlowski, Sofia Ira Ktena, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Martin Rajchl

* Submitted to Medical Imaging Meets NIPS 2017, Code at https://github.com/DLTK/DLTK 

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Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation


Nov 04, 2017
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker

* The method won the 1st-place in the Brain Tumour Segmentation (BRATS) 2017 competition (segmentation task) 

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Efficient variational Bayesian neural network ensembles for outlier detection


Apr 22, 2017
Nick Pawlowski, Miguel Jaques, Ben Glocker

* Presented at Workshop track - ICLR 2017 

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