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05/05/2023
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models
Image-based precision medicine aims to personalize treatment decisions b...
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08/23/2022
Deep Structural Causal Shape Models
Causal reasoning provides a language to ask important interventional and...
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04/08/2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
We develop and rigorously evaluate a deep learning based system that can...
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06/11/2020
Deep Structural Causal Models for Tractable Counterfactual Inference
We formulate a general framework for building structural causal models (...
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06/10/2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
In image segmentation, there is often more than one plausible solution f...
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01/24/2020
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection
There are several benefits from learning disentangled representations, i...
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08/21/2019
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound
One of the biggest challenges for deep learning algorithms in medical im...
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08/16/2019
Needles in Haystacks: On Classifying Tiny Objects in Large Images
In some computer vision domains, such as medical or hyperspectral imagin...
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07/25/2019
Is Texture Predictive for Age and Sex in Brain MRI?
Deep learning builds the foundation for many medical image analysis task...
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06/14/2018
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Recent advances in deep learning led to novel generative modeling techni...
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06/11/2018
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines
NeuroNet is a deep convolutional neural network mimicking multiple popul...
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12/14/2017
Rasa: Open Source Language Understanding and Dialogue Management
We introduce a pair of tools, Rasa NLU and Rasa Core, which are open sou...
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11/18/2017
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images
We present DLTK, a toolkit providing baseline implementations for effici...
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11/04/2017
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Deep learning approaches such as convolutional neural nets have consiste...
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11/03/2017
Implicit Weight Uncertainty in Neural Networks
We interpret HyperNetworks within the framework of variational inference...
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05/18/2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
The problem of sparse rewards is one of the hardest challenges in contem...
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03/20/2017