Dissertations at the Institute for Biomedical Technology

Dissertations of the IBT at the KIT-Open Library


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
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


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


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


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


Stefan Pollnow Characterizing Cardiac Electrophysiology during Radiofrequency Ablation: An Integrative Ex vivo, In silico, and In vivo Approach.
DOI: 10.5445/KSP/1000089807


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


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


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