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Efficient Motor Learning Through Action-Perception Cycles in Deep Kinematic Inference
How does the brain adapt to slow changes in the body’s kinematic chain? And how can it perform complex operations that need tool use? Here, we...
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Dynamical Perception-Action Loop Formation with Developmental Embodiment for Hierarchical Active Inference
To adapt an autonomous system to a newly given cognitive goal, we propose a method to dynamically combine multiple perception-action loops. Focusing...
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Contextual Qualitative Deterministic Models for Self-learning Embodied Agents
This work presents an approach for embodied agents that have to learn models from the least amount of prior knowledge, solely based on knowing which...
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Neural Implicit Functions for 3D Shape Reconstruction from Standard Cardiovascular Magnetic Resonance Views
In cardiovascular magnetic resonance (CMR), typical acquisitions often involve a limited number of short and long axis slices. However,...
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Deep Learning-Based Pulmonary Artery Surface Mesh Generation
Properties of the pulmonary artery play an essential role in the diagnosis and treatment planning of diseases such as pulmonary hypertension....
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A Benchmarking Study of Deep Learning Approaches for Bi-Atrial Segmentation on Late Gadolinium-Enhanced MRIs
Atrial segmentation from late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) provides essential information for patient stratification and...
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Temporal Super-Resolution for Fast T1 Map**
Cardiac T1 map** can provide important biomarkers for many cardiovascular diseases. However, the acquisition time of the T1 map** sequence is...
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Voxel2Hemodynamics: An End-to-End Deep Learning Method for Predicting Coronary Artery Hemodynamics
Local hemodynamic forces play an essential role in determining the functional significance of coronary arterial stenosis and understanding the...
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ReconNext: A Encoder-Decoder Skip Cross Attention Based Approach to Reconstruct Cardiac MRI
Cardiac magnetic resonance imaging (MRI) is an advanced medical imaging technique widely used for the diagnosis and assessment of cardiovascular...
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Global Sensitivity Analysis of Thrombus Formation in the Left Atrial Appendage of Atrial Fibrillation Patients
Atrial Fibrillation (AF) is the most common type of cardiac arrhythmia. Most AF-related thrombi originate within the left atrial appendage (LAA)....
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Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement
Cine Magnetic Resonance Imaging (MRI) allows for understanding of the heart’s function and condition in a non-invasive manner. Undersampling of the...
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Accelerating Cardiac MRI via Deblurring Without Sensitivity Estimation
Reducing acquisition time in Cardiac Magnetic Resonance Imaging (MRI) brings several benefits, such as improved patient comfort, reduced motion...
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Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRI
Short axis cardiac MRI segmentation is a well-researched topic, with excellent results achieved by state-of-the-art models in a supervised setting....
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Deep Cardiac MRI Reconstruction with ADMM
Cardiac magnetic resonance imaging (CMR) is a valuable non-invasive tool for identifying cardiovascular diseases. For instance, Cine MRI is the...
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Reliability
Reliability is closely intertwined with validity. On the one hand, reliability is a necessary, but not a sufficient, condition for validity. On the...
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Introduction
Empirical methods are means to answering methodological questions of empirical sciences by statistical techniques. The methodological questions...
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Significance
Unfortunately, in state-of-the-art research following the train-dev-test paradigm, systematic uncertainty estimation is a neglected problem, and...
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Analyzing Inferential Reproducibility
Reproducibility of experimental results is one of the fundamental pillars of scientific research. If neither a reliable nor significant evaluation...
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Probabilistic Indexing for Fast and Effective Information Retrieval
This chapter provides details for the implementation of the different approaches proposed for PrIx under the probabilistic framework presented in...
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Large-scale Systems and Applications
Here we outline how the PrIx technologies presented throughout this book have been implemented into actual search and retrieval systems which provide...