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01/18/2023
Non-parametric identifiability and sensitivity analysis of synthetic control models
Quantifying cause and effect relationships is an important problem in ma...
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06/10/2021
Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft
Future short or long-term space missions require a new generation of mon...
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08/20/2020
Causal Future Prediction in a Minkowski Space-Time
Estimating future events is a difficult task. Unlike humans, machine lea...
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06/23/2020
3D Probabilistic Segmentation and Volumetry from 2D projection images
X-Ray imaging is quick, cheap and useful for front-line care assessment ...
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05/19/2020
Ultrasound Video Summarization using Deep Reinforcement Learning
Video is an essential imaging modality for diagnostics, e.g. in ultrasou...
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10/04/2019
Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder
High energy particles originating from solar activity travel along the t...
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10/03/2019
Prediction of GNSS Phase Scintillations: A Machine Learning Approach
A Global Navigation Satellite System (GNSS) uses a constellation of sate...
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08/29/2019
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps
Real-world settings often do not allow acquisition of high-resolution vo...
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06/30/2019
Multiple Landmark Detection using Multi-Agent Reinforcement Learning
The detection of anatomical landmarks is a vital step for medical image ...
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05/16/2018
Deep Segmentation and Registration in X-Ray Angiography Video
In interventional radiology, short video sequences of vein structure in ...
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09/25/2016