Dissertations at the Institute for Biomedical Technology
Dissertations of the IBT at the KIT-Open Library
| 2024 | |
| Martinez Antón, María del Carmen | Local Impedance Characterization for Scar and Fibrosis Detection - Towards a New Substrate Assessment for Atrial Mapping DOI: 10.5445/IR/1000170565 |
| 2023 | |
| Nagel, Claudia | Multiscale Cohort Modeling of Atrial Electrophysiology : Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms DOI: 10.5445/IR/1000152993 |
| Schaufelberger, Matthias | Data-Driven Classification Methods for Craniosynostosis Using 3D Surface Scans DOI: 10.5445/IR/1000166022 |
| Abbasi, Anees Qumar | Human Gait Analysis using Spatiotemporal Data Obtained from Gait Videos DOI: 10.5445/IR/1000155021 |
| Brenneisen, Jochen | Interaction of elastomechanics and fluid dynamics in the human heart : Opportunities and challenges of light coupling strategies DOI: 10.5445/IR/1000158111 |
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2022 |
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| Azzolin, Luca | Atrial Digital Twins to Assess Arrhythmia Vulnerability and Guide Ablation Therapy : Leverage Patient-Specific Atrial Models to Understand Atrial Fibrillation Mechanisms and Provide Personalized Treatments DOI: 10.5445/IR/1000142101 |
| Gerach, Tobias | Personalized Electromechanical Modeling of the Human Heart : Challenges and Opportunities for the Simulation of Pathophysiological Scenarios DOI: 10.5445/IR/1000147806 |
| Sánchez Arciniegas, Jorge Patricio | A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy DOI: 10.5445/KSP/1000143481 |
| Unger, Laura | Multimodal Characterization of the Atrial Substrate - Risks and Rewards of Electrogram and Impedance Mapping DOI: 10.5445/IR/1000150714 |
| Baron, Lukas | In Silico Modeling, Simulation and Optimization of Human Cardiac Motion DOI: 10.5445/IR/1000143148 |
| Nairn, Deborah | Multi-Modality Correspondence to Enhance Arrhythmogenic Atrial Substrate Identification: Guiding Persistent Atrial Fibrillation Ablation Therapy DOI: 10.5445/IR/1000144762 |
| Wachter, Andreas | Generation of Artificial Image and Video Data for Medical Deep Learning Applications DOI: 10.5445/IR/1000146727 |
| Schuler, Steffen Friedrich | Novel Methods to Incorporate Physiological Prior Knowledge into the Inverse Problem of Electrocardiography - Application to Localization of Ventricular Excitation Origins DOI: 10.5445/IR/1000141624 |
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2021 |
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| Luongo, Giorgio | Atrial Arrhythmia Diagnosis Using the 12-Lead ECG : Machine learning leveraging in silico and clinical signals DOI: 10.5445/IR/1000141417 |
| Ekaterina Kovacheva | Model Based Estimation of the Elastomechanical Properties of the Human Heart. DOI: 10.5445/IR/1000135416 |
| Sánchez Arciniegas, Jorge Patricio | A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy DOI: 10.5445/KSP/1000143481 |
| Nothstein, Mark | Characterizing Atrial Fibrillation Substrate by Electrogram and Restitution Analysis DOI: 10.5445/IR/1000140821 |
| Naber, Ady | Intraoperative, Quantitative, and Non-Contact Blood Volume Flow Measurement via Indocyanine Green Fluorescence Angiography DOI: 10.5445/IR/1000136209 |
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2020 |
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| Nicolas Pilia | Electrocardiogram Signal Analysis and Simulations for Non-Invasive Diagnosis. DOI: 10.5445/IR/1000133602 |
| Yannick Lutz | Modelling of the human brain to predict spatial and temporal temperature profiles for the selective hypothermia treatment of an ischemic stroke DOI: 10.5445/IR/1000122124 |
| Michael Kircher | Towards an Efficient Gas Exchange Monitoring with Electrical Impedance Tomography - Optimization and validation of methods to investigate and understand pulmonary blood flow with indicator dilution. DOI: 10.5445/IR/1000128682 |
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2019 |
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| Stefan Pollnow | Characterizing Cardiac Electrophysiology during Radiofrequency Ablation: An Integrative Ex vivo, In silico, and In vivo Approach. DOI: 10.5445/KSP/1000089807 |
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2017 |
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| Bhawna Verma | Multichannel Intracardiac Electrogram Analysis to Estimate the Depolarisation Wavefront Propagation: Supporting Diagnostics and Treatment of Atrial Fibrillation. DOI: 10.5445/IR/1000071598 |
| Gustavo Lenis | Signal Processing Methods for the Analysis of the Electrocardiogram DOI: 10.5445/IR/1000069601 |
| Markus Rottmann | Multiple interacting rotational, focal, and wavelet activities at heterogeneous tissue in atrial fibrillation. DOI: 10.5445/IR/1000086187 |
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2016 |
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| Jochen Schmid | Microwave Imaging for Stroke Diagnostics. DOI: 10.5445/IR/1000062640 |
| Danila Potyagaylo | Non-Invasive Electrocardiographic Imaging of Ventricular Activities: Data-Driven and Model-Based Approaches. DOI: 10.5445/IR/1000058533 |
| Tobias Oesterlein | Multichannel Analysis of Intracardiac Electrograms. Supporting Diagnosis and Treatment of Cardiac Arrhythmias. DOI: 10.5445/IR/1000063235 |
| Axel Loewe | Modeling human atrial patho-electrophysiology from ion channels to ECG: substrates, pharmacology, vulnerability, and P-waves. DOI: 10.5445/KSP/1000054615 |
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2015 |
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| Thomas Fritz | Biomechanical Modeling of the Human Heart - Modeling of the Ventricles, the Atria and the Pericardium and the Inverse Problem of Cardiac Mechanics DOI: 10.5445/IR/1000051420 |
| Walther Schulze | ECG Imaging of Ventricular Activity in Clinical Applications DOI: 10.5445/KSP/1000046918 |