Martin Rajchl

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Imperial College London

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Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging

Detecting acoustic shadows in ultrasound images is important in many cli...
11/20/2018 ∙ by Qingjie Meng, et al. ∙ 20 ∙ share

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Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling

Alterations in the geometry and function of the heart define well-establ...
07/18/2018 ∙ by Carlo Biffi, et al. ∙ 8 ∙ share

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

Recent advances in deep learning led to novel generative modeling techni...
06/14/2018 ∙ by Xiaoran Chen, et al. ∙ 4 ∙ share

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

NeuroNet is a deep convolutional neural network mimicking multiple popul...
06/11/2018 ∙ by Martin Rajchl, et al. ∙ 8 ∙ share

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

We present DLTK, a toolkit providing baseline implementations for effici...
11/18/2017 ∙ by Nick Pawlowski, et al. ∙ 0 ∙ share

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Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Deep learning approaches such as convolutional neural nets have consiste...
11/04/2017 ∙ by Konstantinos Kamnitsas, et al. ∙ 0 ∙ share

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Implicit Weight Uncertainty in Neural Networks

We interpret HyperNetworks within the framework of variational inference...
11/03/2017 ∙ by Nick Pawlowski, et al. ∙ 0 ∙ share

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Human-level CMR image analysis with deep fully convolutional networks

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging mo...
10/25/2017 ∙ by Wenjia Bai, et al. ∙ 0 ∙ share

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Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks

Evaluating similarity between graphs is of major importance in several c...
03/07/2017 ∙ by Ira Ktena, et al. ∙ 0 ∙ share

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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...
11/22/2016 ∙ by Amir Alansary, et al. ∙ 0 ∙ share

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Learning under Distributed Weak Supervision

The availability of training data for supervision is a frequently encoun...
06/03/2016 ∙ by Martin Rajchl, et al. ∙ 0 ∙ share

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DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks

In this paper, we propose DeepCut, a method to obtain pixelwise object s...
05/25/2016 ∙ by Martin Rajchl, et al. ∙ 0 ∙ share

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A Proximal Bregman Projection Approach to Continuous Max-Flow Problems Using Entropic Distances

One issue limiting the adaption of large-scale multi-region segmentation...
01/30/2015 ∙ by John S. H. Baxter, et al. ∙ 0 ∙ share

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A Continuous Max-Flow Approach to Multi-Labeling Problems under Arbitrary Region Regularization

The incorporation of region regularization into max-flow segmentation ha...
05/05/2014 ∙ by John S. H. Baxter, et al. ∙ 0 ∙ share

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