Gunnar Seemann

发表

In Silico Investigation of Electrically Silent Acute Cardiac Ischemia in the Human Ventricles

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2011, IEEE Transactions on Biomedical Engineering.

Modeling of cardiac ischemia in human myocytes and tissue including spatiotemporal electrophysiological variations / Modellierung kardialer Ischämie in menschlichen Myozyten und Gewebe

Olaf Dössel, Gunnar Seemann, Daniel L Weiss, 2009, Biomedizinische Technik. Biomedical engineering.

Comparison of simulated and clinical intracardiac electrograms

Olaf Dössel, Gunnar Seemann, Matthias Walter Keller, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Framework for Modular, Flexible and Efficient Solving the Cardiac Bidomain Equations Using PETSc

Vincent Heuveline, Olaf Dössel, Gunnar Seemann, 2010 .

Comparison of different methods and catheter designs to estimate the rotor tip position - A simulation study

Olaf Dössel, Gunnar Seemann, Markus Rottmann, 2014, Computing in Cardiology 2014.

Patient-Specific Identification of Atrial Flutter Vulnerability–A Computational Approach to Reveal Latent Reentry Pathways

Olaf Dössel, Gunnar Seemann, Axel Loewe, 2019, Front. Physiol..

Models of the human heart for simulation of clinical interventions

Gunnar Seemann, Frank B. Sachse, Christian D. Werner, 2002 .

Planning of RadioFrequency Ablation for patients with Ventricular Tachycardia

Hervé Delingette, Nicholas Ayache, Olaf Dössel, 2011 .

Computational Modelling of Low Voltage Resonant Drift of Scroll Waves in the Realistic Human Atria

Henggui Zhang, Gunnar Seemann, Jichao Zhao, 2015, FIMH.

Conduction Velocity Restitution of the Human Atrium—An Efficient Measurement Protocol for Clinical Electrophysiological Studies

Cristian Lorenz, Olaf Dössel, Gunnar Seemann, 2011, IEEE Transactions on Biomedical Engineering.

Left and Right Atrial Contribution to the P-wave in Realistic Computational Models

Olaf Dössel, Gunnar Seemann, Pyotr G. Platonov, 2015, FIMH.

A robust computational framework for estimating 3D Bi-Atrial chamber wall thickness

Gunnar Seemann, Jichao Zhao, Yufeng Wang, 2019, Comput. Biol. Medicine.

Verification of cardiac tissue electrophysiology simulators using an N-version benchmark

Eric Kerfoot, Pras Pathmanathan, Gunnar Seemann, 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Modelling and Imaging Electrophysiology and Contraction of the Heart

Olaf Dössel, Gunnar Seemann, D. L. Weiss, 2007 .

Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour

Thomas Fritz, Gunnar Seemann, Viatcheslav Gurev, 2015, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Towards personalized clinical in-silico modeling of atrial anatomy and electrophysiology

Kawal S. Rhode, Olaf Dössel, Gunnar Seemann, 2012, Medical & Biological Engineering & Computing.

INVESTIGATION OF ELECTROPHYSIOLOGICAL HETEROGENEITY AND ANISOTROPY ACROSS THE HUMAN VENTRICULAR WALL

Olaf Dössel, Gunnar Seemann, Frank B. Sachse, 2003 .

Investigating Arrhythmogenic Effects of the hERG Mutation N588K in Virtual Human Atria

Olaf Dössel, Gunnar Seemann, Martin W. Krüger, 2009, FIMH.

Orthogonal recursive bisection data decomposition for high performance computing in cardiac model simulations: Dependence on anatomical geometry

Gunnar Seemann, John J. Rice, Matthias Reumann, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action pdf

Thilo Muth, Timo Ropinski, Gunnar Seemann, 2020, F1000Research.

A Semi-automatic Approach for Segmentation of Three-Dimensional Microscopic Image Stacks of Cardiac Tissue

Gunnar Seemann, Frank B. Sachse, Thomas Seidel, 2013, FIMH.

Modeling of electro-mechanics of human cardiac myocytes: parameterization with numerical minimization techniques

Gunnar Seemann, Frank B. Sachse, Kraisorn Chaisaowong, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Computer-assisted electrode positioning in biventricular pacing

Olaf Dössel, Gunnar Seemann, Matthias Reumann, 2004, CARS.

Impact of Physiological Ventricular Deformation on the Morphology of the T-Wave: A Hybrid, Static-Dynamic Approach

Thomas Fritz, Olaf Dössel, Gunnar Seemann, 2011, IEEE Transactions on Biomedical Engineering.

Characterization of Radiofrequency Ablation Lesion Development Based on Simulated and Measured Intracardiac Electrograms

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2014, IEEE Transactions on Biomedical Engineering.

In-silico modeling of atrial repolarization in normal and atrial fibrillation remodeled state

Kawal S. Rhode, Olaf Dössel, Gunnar Seemann, 2013, Medical & Biological Engineering & Computing.

Proceedings of the 4th international conference on Functional imaging and modeling of the heart

Gunnar Seemann, Frank B. Sachse, 2007 .

Influence of ${I_{Ks}}$ Heterogeneities on the Genesis of the T-wave: A Computational Evaluation

Olaf Dössel, Gunnar Seemann, Daniel L. Weiß, 2012, IEEE Transactions on Biomedical Engineering.

Post extrasystolic T wave change in subjectswith structural healthy ventricles - Measurement and simulation

José Luis Rojo-Álvarez, Eduardo Gil, Olaf Dössel, 2014, Computing in Cardiology 2014.

Comparing Simulated Electrocardiograms of Different Stages of Acute Cardiac Ischemia

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2011, FIMH.

T-Wave Changes Due to Cardiac Deformation Are Dependent on the Temporal Relationship Between Repolarization and Diastolic Phase

Gunnar Seemann, Robin Moss, Eike Moritz Wülfers, 2018, 2018 Computing in Cardiology Conference (CinC).

Elastic Registration of Optical Images showing Heart Muscle Contraction

Gunnar Seemann, Olaf Dössel, M. Janich, 2009 .

Paroxysmal atrial fibrillation caused by interaction of pacemakerwaves and reduced excitability: Insights from the Bueno-Orovio model adapted to atria

Gunnar Seemann, Frank M. Weber, Martin Bauer, 2013, Computing in Cardiology 2013.

Optimized adjustment of single action-potentials to case-specific atrial physiology: Towards clinical implementation

Gunnar Seemann, Pedro Lind, Claudia Lenk, 2017, 2017 Computing in Cardiology (CinC).

Influence of three-dimensional fibrotic patterns on simulated intracardiac electrogram morphology

Olaf Dössel, Gunnar Seemann, Armin Luik, 2013, Computing in Cardiology 2013.

Computational Mechanistic Investigation of Chronotropic Effects on Murine Sinus Node Cells

Gunnar Seemann, Jens Timmer, Callum M. Zgierski-Johnston, 2018, 2018 Computing in Cardiology Conference (CinC).

Semi-automatic segmentation of sinus node, Bachmann’s Bundle and Terminal Crest for patient specific atrial models

Olaf Dössel, Gunnar Seemann, Martin W. Krueger, 2009 .

Electrophysiological Modeling for Cardiology: Methods and Potential Applications

Mathias Wilhelms, Gunnar Seemann, Martin W. Krüger, 2010, it Inf. Technol..

Sensitivity study of fiber orientation on stroke volume in the human left ventricle

Thomas Fritz, Olaf Dössel, Gunnar Seemann, 2014, Computing in Cardiology 2014.

Clinical applications of image fusion for electrophysiology procedures

YingLiang Ma, Hervé Delingette, Richard James Housden, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Modeling of Electro-Mechanical Coupling in Cardiac Myocytes: Feedback Mechanisms and Cooperativity

Gunnar Seemann, Frank B. Sachse, K. G. Glänzel, 2003, FIMH.

Electrophysiology and Tension Development in a Transmural Heterogeneous Model of the Visible Female Left Ventricle

Olaf Dössel, Gunnar Seemann, Frank B. Sachse, 2005, FIMH.

Extracting Clinically Relevant Circular Mapping and Coronary Sinus Catheter Potentials from Atrial Simulations

Cristian Lorenz, Olaf Dössel, Gunnar Seemann, 2009, FIMH.

Accelerating mono-domain cardiac electrophysiology simulations using OpenCL

Olaf Dössel, Gunnar Seemann, Eike M. Wülfers, 2015 .

Effects of fibroblasts coupling on the electrophysiology of cardiomyocytes from different regions of the human atrium: A simulation study

Gunnar Seemann, Axel Loewe, Eike M. Wülfers, 2017, 2017 Computing in Cardiology (CinC).

Computational modeling of the human atrial anatomy and electrophysiology

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2012, Medical & Biological Engineering & Computing.

Volume Modeling of Myocard Deformation with a Spring Mass System

Olaf Dössel, Gunnar Seemann, Frank B. Sachse, 2003, IS4TH.

Three-dimensional electrophysiological and morphological computer models for individualisation of antiarrhythmic cardiac surgery

Olaf Dössel, Gunnar Seemann, Matthias Reumann, 2004, CARS.

Classification of cardiac excitation patterns during atrial fibrillation

Olaf Dössel, Gunnar Seemann, Markus Rottmann, 2016 .

Influence of ischemic core muscle fibers on surface depolarization potentials in superfused cardiac tissue preparations: a simulation study

Gunnar Seemann, Rodrigo Weber dos Santos, Gernot Plank, 2012, Medical & Biological Engineering & Computing.

Methods for analyzing signal characteristics of stable and unstable rotors in a realistic heart model

Olaf Dössel, Gunnar Seemann, Martin W. Krüger, 2015, 2015 Computing in Cardiology Conference (CinC).

Evaluating body surface ECG differences of simulated long-QT syndromes

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2013, Computing in Cardiology 2013.

Adaption of Mathematical Ion Channel Models to measured data using the Particle Swarm Optimization

Olaf Dössel, Gunnar Seemann, D. L. Weiss, 2009 .

Model Personalization for AF and VT simulations

Olaf Dössel, Gunnar Seemann, Hervé Delingette, 2011 .

Personalization of Atrial Anatomy and Electrophysiology as a Basis for Clinical Modeling of Radio-Frequency Ablation of Atrial Fibrillation

Kawal S. Rhode, Gunnar Seemann, Martin W. Krüger, 2013, IEEE Transactions on Medical Imaging.

Functional Imaging and Modeling of the Heart

Gunnar Seemann, Frank B. Sachse, F. Sachse, 2003, Lecture Notes in Computer Science.

Left atrial hypertrophy increases P-wave terminal force through amplitude but not duration

Olaf Dössel, Gunnar Seemann, Pyotr G. Platonov, 2016, 2016 Computing in Cardiology Conference (CinC).

Preventive Ablation Strategies in a Biophysical Model of Atrial Fibrillation Based on Realistic Anatomical Data

Olaf Dössel, Gunnar Seemann, Matthias Reumann, 2008, IEEE Transactions on Biomedical Engineering.

Influence of electrophysiological heterogeneity on electrical stimulation in healthy and failing human hearts

Olaf Dössel, Gunnar Seemann, Iulia M. Graf, 2006, Medical and Biological Engineering and Computing.

Modeling of protein Interactions involved in Cardiac tension Development

Gunnar Seemann, Frank B. Sachse, K. G. Glänzel, 2003, Int. J. Bifurc. Chaos.

Strong scaling and speedup to 16,384 processors in cardiac electro — Mechanical simulations

Gunnar Seemann, Matthias Reumann, Aleksandr Rayshubskiy, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Magnetocardiography did not uncover electrically silent ischemia in an in-silico study case

Olaf Dössel, Gunnar Seemann, Danila Potyagaylo, 2015, 2015 Computing in Cardiology Conference (CinC).

Benchmarking Different Models describing Sinus Node Heterogeneity

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2008 .

A framework for personalization of computational models of the human atria

Olaf Dössel, Gunnar Seemann, Martin W. Krüger, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Simulation of clinical electrophysiology in 3D human atria: a high‐performance computing and high‐performance visualization application

Henggui Zhang, Gunnar Seemann, Lee Margetts, 2008, Concurr. Comput. Pract. Exp..

Parameter Estimation of Ion Current Formulations Requires Hybrid Optimization Approach to Be Both Accurate and Reliable

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2016, Front. Bioeng. Biotechnol..

Benchmarking Solvers of the Monodomain Equation in Cardiac Electrophysiological Modeling

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2010 .

In Silico Screening of the Key Cellular Remodeling Targets in Chronic Atrial Fibrillation

Gunnar Seemann, Mary M. Maleckar, Pasi Tavi, 2014, PLoS Comput. Biol..

Evaluating effects of fibrosis in atrial arrhythmogenesis using 3D computational modelling

Michael A. Colman, Kawal S. Rhode, Gunnar Seemann, 2014, Computing in Cardiology 2014.

Comparison of measured and simulated deformation of a left ventricle

Gunnar Seemann, Olaf Dössel, Frank B. Sachse, 2006 .

Towards run time visualization in cardiac modeling

Olaf Dössel, Gunnar Seemann, Matthias Reumann, 2009 .

Computermodelle der elektrophysiologischen Eigenschaften des Herzens

Gunnar Seemann, Frank B. Sachse, Christian D. Werner, 2002 .

Personalized Electrophysiological Modeling of the Human Atrium

Olaf Dössel, Gunnar Seemann, Martin W. Krüger, 2012 .

INVESTIGATION OF FIBRILLATION IN HUMAN LEFT VENTRICLE WITH A REACTION-DIFFUSION MODEL

Olaf Dössel, Gunnar Seemann, Frank B. Sachse, 2003 .

Computer-assisted Planning of Cardiac Interventions and Heart Surgery

Olaf Dössel, Gunnar Seemann, Matthias Reumann, 2006, GI Jahrestagung.

Simulation of surgical interventions: atrial radio frequency ablation with a haptic interface

Gunnar Seemann, Frank B. Sachse, Christian D. Werner, 2002 .

Time and Memory Efficient Implementation of the Cardiac Bidomain Equations

Olaf Dössel, Gunnar Seemann, Vincent Heuveline, 2009 .

Simulation of clinical electrophysiology in 3D human atria: a high-performance computing and high-performance visualization application

Henggui Zhang, Gunnar Seemann, Lee Margetts, 2008 .

Mathematical Modeling of Non-Selective Channels: Estimating Ion Current Fractions and Their Impact on Pathological Simulations

Gunnar Seemann, Peter Kohl, Eike M. Wülfers, 2018, 2018 Computing in Cardiology Conference (CinC).

Cardiac cell modelling: observations from the heart of the cardiac physiome project.

Henggui Zhang, Gunnar Seemann, Frank B Sachse, 2011, Progress in biophysics and molecular biology.

Model assisted biosignal analysis of atrial electrograms

Olaf Dössel, Gunnar Seemann, Axel Loewe, 2016 .

Modeling Atrial Fiber Orientation in Patient-Specific Geometries: A Semi-automatic Rule-Based Approach

Cristian Lorenz, Kawal S. Rhode, Gunnar Seemann, 2011, FIMH.

The Influence of Age and Skull Conductivity on Surface and Subdermal Bipolar EEG Leads

Gunnar Seemann, Katrina Wendel, Jaakko Malmivuo, 2010, Comput. Intell. Neurosci..

Mathematical Modeling of Cardiac Electro-mechanics: from protein to Organ

Gunnar Seemann, Frank B. Sachse, Arun V. Holden, 2003, Int. J. Bifurc. Chaos.

Quantitative Analysis of Cardiac Tissue Including Fibroblasts Using Three-Dimensional Confocal Microscopy and Image Reconstruction: Towards a Basis for Electrophysiological Modeling

Gunnar Seemann, Bettina C. Schwab, Frank B. Sachse, 2013, IEEE Transactions on Medical Imaging.

Modeling of Cardiac Electro-Mechanics in a Truncated Ellipsoid Model of Left Ventricle

Gunnar Seemann, Frank B. Sachse, 2003, IS4TH.

Special issue: Functional imaging and modelling of the heart

Gunnar Seemann, Frank B. Sachse, 2009, Medical Image Anal..

Wave-Direction and Conduction-Velocity Analysis From Intracardiac Electrograms–A Single-Shot Technique

Cristian Lorenz, Olaf Dössel, Gunnar Seemann, 2010, IEEE Transactions on Biomedical Engineering.

Modeling effects of voltage dependent properties of the cardiac muscarinic receptor on human sinus node function

Gunnar Seemann, Frank B Sachse, Robin Moss, 2018, PLoS Comput. Biol..

Regularity of node distribution impacts conduction velocities in finite element simulations of the heart

Olaf Dössel, Gunnar Seemann, Eike M. Wülfers, 2016, 2016 Computing in Cardiology Conference (CinC).

Specific antiarrhythmic therapy for familial atrial fibrillation in a numerical model of human atrial electrophysiology

Olaf Dössel, Gunnar Seemann, Axel Loewe, 2014 .

Myofiber orientation and electrical activation in human and sheep atrial models

Henggui Zhang, Olaf Dössel, Gunnar Seemann, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Hyperthermia dependence of cardiac conduction velocity in rat myocardium: Optical mapping and cardiac near field measurements

Olaf Dössel, Gunnar Seemann, Stefan Pollnow, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Functional Imaging and Modeling of the Heart, 4th International Conference, FIMH 2007, Salt Lake City, UT, USA, June 7-9, 2007, Proceedings

Gunnar Seemann, Frank B. Sachse, 2007, FIMH.

Predicting Tissue Conductivity Influences on Body Surface Potentials—An Efficient Approach Based on Principal Component Analysis

Cristian Lorenz, Olaf Dössel, Gunnar Seemann, 2011, IEEE Transactions on Biomedical Engineering.

Scroll Waves in 3D Virtual Human Atria: A Computational Study

Henggui Zhang, Gunnar Seemann, Arun V. Holden, 2007, FIMH.

Optimization of pharmacotherapy for familial atrial fibrillation in a numerical model of human atrial electrophysiology

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2014, Computing in Cardiology 2014.

Fusion of Local Activation Time Maps and Image Data to Personalize Anatomical Atrial Models

Kawal S. Rhode, Gunnar Seemann, Martin W. Krüger, 2013, FIMH.

In Silico Analysis of the Impact of Transmural Myocardial Infarction on Cardiac Mechanical Dynamics for the 17 AHA Segments

Thomas Fritz, Olaf Dössel, Gunnar Seemann, 2011, FIMH.

Large scale cardiac modeling on the Blue Gene supercomputer

Gunnar Seemann, John J. Rice, Matthias Reumann, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Fast Creation of Endocardial Stimulation Profiles for the Realistic Simulation of Body Surface ECGs

Olaf Dössel, Gunnar Seemann, D. U. J. Keller, 2009 .

Influence of chronic atrial fibrillation induced remodeling in a computational electrophysiological model

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2014 .

Ranking the Influence of Tissue Conductivities on Forward-Calculated ECGs

Olaf Dössel, Gunnar Seemann, Frank M. Weber, 2010, IEEE Transactions on Biomedical Engineering.

Computer model of the electrical excitation of the heart

Olaf Dössel, Gunnar Seemann, 2003 .

Modeling of force development in the human heart with a cellular automaton parameterized by numerical simulations

Gunnar Seemann, Frank B. Sachse, Christian D. Werner, 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

Computational Models for AF and VT simulation

Nicholas Ayache, Olaf Dössel, Gunnar Seemann, 2010 .

Comparison of computational load of a simple and complex electrophysiological cell models in large anatomical data-sets on the Blue Gene/L supercomputer

Olaf Dössel, Gunnar Seemann, Matthias Reumann, 2008 .

ECG-Based Detection of Early Myocardial Ischemia in a Computational Model: Impact of Additional Electrodes, Optimal Placement, and a New Feature for ST Deviation

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2015, BioMed research international.

How Do Tissue Conductivities Impact on Forward-calculated ECGs? An Efficient Prediction Based on Principal Component Analysis

Olaf Dössel, Gunnar Seemann, Frank Weber, 2009 .

Sensitivities of Bipolar Subcutaneous and Cortical EEG Leads

Gunnar Seemann, Katrina Wendel, Jaakko Malmivuo, 2009 .

Alterations of atrial electrophysiology related to hemodialysis session: insights from a multiscale computer model.

Olaf Dössel, Gunnar Seemann, Reza Razavi, 2011, Journal of electrocardiology.

Mesh structure-independent modeling of patient-specific atrial fiber orientation

Olaf Dössel, Gunnar Seemann, Axel Loewe, 2015 .

Quantitative Reconstruction of Cardiac Electromechanics in Human Myocardium:

Gunnar Seemann, Frank B Sachse, Kraisorn Chaisaowong, 2003, Journal of cardiovascular electrophysiology.

Interaction of pacemakers as generating mechanism of atrial fibrillation

Gunnar Seemann, Claudia Lenk, Philipp Maass, 2011, 2011 Computing in Cardiology.

Arrhythmic potency of human ether-a-go-go-related gene mutations L532P and N588K in a computational model of human atrial myocytes.

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2014, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

Conditions for Equal Polarity of R and T Wave in Heterogeneous Human Ventricular Tissue

Olaf Dössel, Gunnar Seemann, Daniel L. Weiß, 2004 .

Rotor Termination Is Critically Dependent on Kinetic Properties of I Kur Inhibitors in an In Silico Model of Chronic Atrial Fibrillation

Hugo A. Katus, Mathias Wilhelms, Olaf Dössel, 2013, PloS one.

Influence of the earliest right atrial activation site and its proximity to interatrial connections on P-wave morphology.

Olaf Dössel, Gunnar Seemann, Axel Loewe, 2016, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

Quantitative Reconstruction of Cardiac Electromechanics in Human Myocardium:

Olaf Dössel, Gunnar Seemann, Daniel L Weiss, 2003, Journal of cardiovascular electrophysiology.

Effects of early afterdepolarizations on excitation patterns in an accurate model of the human ventricles

Gunnar Seemann, Alexander V Panfilov, Nele Vandersickel, 2017, PloS one.

Atrial fibrillation-based electrical remodeling in a computer model of the human atrium

Mathias Wilhelms, Gunnar Seemann, Olaf Dossel, 2010, 2010 Computing in Cardiology.

Comparing measured and simulated wave directions in the left atrium – a workflow for model personalization and validation

Cristian Lorenz, Gunnar Seemann, Armin Luik, 2012, Biomedizinische Technik. Biomedical engineering.

Anatomical and spiral wave reentry in a simplified model for atrial electrophysiology.

Gunnar Seemann, Philipp Maass, Yvonne Richter, 2017, Journal of theoretical biology.

In-silico assessment of the dynamic effects of amiodarone and dronedarone on human atrial patho-electrophysiology.

Deficient Zebrafish Ether-à-Go-Go-Related Gene Channel Gating Causes Short-QT Syndrome in Zebrafish Reggae Mutants

Benjamin Meder, Gunnar Seemann, Oliver Friedrich, 2008, Circulation.

3D ANATOMICAL AND ELECTROPHYSIOLOGICAL MODEL OF HUMAN SINOATRIAL NODE AND ATRIA

Henggui Zhang, Gunnar Seemann, Frank B. Sachse, 2004 .

Influence of left atrial size on P-wave morphology: differential effects of dilation and hypertrophy.

Olaf Dössel, Gunnar Seemann, Peter Kohl, 2018, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

A Computer Simulation Study of Anatomy Induced Drift of Spiral Waves in the Human Atrium

Henggui Zhang, Gunnar Seemann, Irina V. Biktasheva, 2015, BioMed research international.

Benchmarking electrophysiological models of human atrial myocytes

Mathias Wilhelms, Olaf Dössel, Gunnar Seemann, 2013, Front. Physio..

Estimating refractory periods during atrial fibrillation based on electrogram cycle lengths in a heterogeneous simulation setup

Olaf Dössel, Gunnar Seemann, Axel Loewe, 2017 .

Patient-specific modeling of atrial fibrosis increases the accuracy of sinus rhythm simulations and may explain maintenance of atrial fibrillation.

Gunnar Seemann, Reza Razavi, Jaswinder Gill, 2014, Journal of electrocardiology.

Integrating β -Adrenergic Signaling into a Computational Model of Human Cardiac Electrophysiology

Olaf Dössel, Gunnar Seemann, D. U. J. Keller, 2009 .

Basket-Type Catheters: Diagnostic Pitfalls Caused by Deformation and Limited Coverage

Olaf Dössel, Gunnar Seemann, Axel Loewe, 2016, BioMed research international.

Determination of local activation time in bipolar endocardial electrograms: a comparison of clinical criteria and a new method based on the non-linear energy operator

Olaf Dössel, Gunnar Seemann, Martin W. Krüger, 2013 .

Modeling of electro-mechanics in left ventricle

Gunnar Seemann, Frank B. Sachse, Christian D. Werner, 2002, Computers in Cardiology.