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11/20/2018
Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging
Detecting acoustic shadows in ultrasound images is important in many cli...
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07/18/2018
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling
Alterations in the geometry and function of the heart define well-establ...
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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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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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10/25/2017
Human-level CMR image analysis with deep fully convolutional networks
Cardiovascular magnetic resonance (CMR) imaging is a standard imaging mo...
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03/07/2017
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
Evaluating similarity between graphs is of major importance in several c...
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11/22/2016
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI
In this paper we present a novel method for the correction of motion art...
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06/03/2016
Learning under Distributed Weak Supervision
The availability of training data for supervision is a frequently encoun...
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05/25/2016
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
In this paper, we propose DeepCut, a method to obtain pixelwise object s...
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01/30/2015
A Proximal Bregman Projection Approach to Continuous Max-Flow Problems Using Entropic Distances
One issue limiting the adaption of large-scale multi-region segmentation...
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05/05/2014