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Engineering and Technology

D-Index
41
Citations
7257
World Ranking
6925
National Ranking
235

Overview

Olaf Dössel is affiliated with the Karlsruhe Institute of Technology in Germany and has a substantial research portfolio primarily focused on medicine, specifically within cardiology and cardiovascular medicine. Their work encompasses several specialized subfields including cardiology and cardiovascular medicine, artificial intelligence, general health professions, electrical and electronic engineering, and statistics, probability, and uncertainty.

The main topics covered in Dössel's research include:

  • ECG Monitoring and Analysis
  • Cardiac Arrhythmias and Treatments
  • Atrial Fibrillation Management and Outcomes
  • Cardiac electrophysiology and arrhythmias
  • Cardiovascular Function and Risk Factors
  • Imbalanced Data Classification Techniques
  • Cardiac pacing and defibrillation studies

Recent papers authored or co-authored by Dössel highlight a focus on atrial fibrillation, electrical activity assessment, and ECG analysis. Notable publications include:

  • "Critical appraisal of technologies to assess electrical activity during atrial fibrillation: a position paper from the European Heart Rhythm Association and European Society of Cardiology Working Group on eCardiology in collaboration with the Heart Rhythm Society, Asia Pacific Heart Rhythm Society, Latin American Heart Rhythm Society and Computing in Cardiology," 2021, EP Europace
  • "Atrial fibrillation nomenclature, definitions, and mechanisms: Position paper from the international Working Group of the Signal Summit," 2024, Heart Rhythm
  • "Local Electrical Impedance Mapping of the Atria: Conclusions on Substrate Properties and Confounding Factors," 2022, Frontiers in Physiology
  • "ECG Feature Importance Rankings: Cardiologists Vs. Algorithms," 2024, IEEE Journal of Biomedical and Health Informatics
  • "Automatic ECG-based Discrimination of 20 Atrial Flutter Mechanisms: Influence of Atrial and Torso Geometries," 2020, Computing in cardiology

Dössel frequently collaborates with several co-authors, reflecting active participation in research networks. These frequent collaborators include:

  • Axel Loewe
  • Laura Unger
  • Claudia Nagel
  • Jorge Sánchez
  • Giorgio Luongo

Publication venues where Dössel has contributed repeatedly further illustrate their focus and research community. These venues include:

  • Computing in cardiology
  • EP Europace
  • Heart Rhythm
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Journal of Biomedical and Health Informatics

Best Publications

  • Determination of Electric Conductivity and Local SAR Via B1 Mapping

    U. Katscher;T. Voigt;C. Findeklee;P. Vernickel

  • Heterogeneous three-dimensional anatomical and electrophysiological model of human atria

    Gunnar Seemann;Christine Höper;Frank B Sachse;Olaf Dössel

  • World Congress on Medical Physics and Biomedical Engineering

    Olaf Dössel;Wolfgang C. Schlegel

  • Computational modeling of the human atrial anatomy and electrophysiology

    Olaf Dössel;Martin W. Krueger;Frank M. Weber;Frank M. Weber;Mathias Wilhelms

  • Ranking the Influence of Tissue Conductivities on Forward-Calculated ECGs

    David U J Keller;Frank M Weber;Gunnar Seemann;Olaf Dössel

  • Source analysis of median nerve and finger stimulated somatosensory evoked potentials: multichannel simultaneous recording of electric and magnetic fields combined with 3D-MR tomography.

    Helmut Buchner;Manfred Fuchs;Hans Aloys Wischmann;Olaf Dössel

  • Toward individualized SAR models and in vivo validation.

    H. Homann;P. Börnert;H. Eggers;K. Nehrke

  • Validation and Opportunities of Electrocardiographic Imaging: From Technical Achievements to Clinical Applications

    Matthijs Cluitmans;Dana H. Brooks;Robert S Macleod;Olaf Dössel

  • Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study

    Gustavo Lenis;Nicolas Pilia;Axel Loewe;Walther H. W. Schulze

  • Silica nanoparticles are less toxic to human lung cells when deposited at the air–liquid interface compared to conventional submerged exposure

    Alicja Panas;Andreas Comouth;Harald Saathoff;Thomas Leisner

  • Simulation of the contraction of the ventricles in a human heart model including atria and pericardium

    Thomas Fritz;Christian Wieners;Gunnar Seemann;Henning Steen

  • Modeling atrial fiber orientation in patient-specific geometries: a semi-automatic rule-based approach

    Martin W. Krueger;Viktor Schmidt;Catalina Tobón;Frank M. Weber

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

    M. W. Krueger;G. Seemann;K. Rhode;D. U. J. Keller

  • Respiratory motion in coronary magnetic resonance angiography: a comparison of different motion models.

    Dirk Manke;Kay Nehrke;Peter Börnert;Peter Rösch

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

    G. Seemann;F. B. Sachse;M. Karl;D. L. Weiss

  • Model evaluation and calibration for prospective respiratory motion correction in coronary MR angiography based on 3-D image registration

    D. Manke;P. Rosch;K. Nehrke;P. Bornert

  • Fast isotropic volumetric coronary MR angiography using free-breathing 3D radial balanced FFE acquisition

    Christian Stehning;P. Börnert;K. Nehrke;H. Eggers

  • Projection-based motion compensation for gated coronary artery reconstruction from rotational x-ray angiograms.

    E Hansis;E Hansis;D Schäfer;O Dössel;M Grass

  • Local SAR management by RF Shimming: a simulation study with multiple human body models

    Hanno Homann;Ingmar Graesslin;Holger Eggers;Kay Nehrke

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

    D. U. J. Keller;D. L. Weiss;O. Dossel;G. Seemann

  • Evaluation of Iterative Sparse Object Reconstruction From Few Projections for 3-D Rotational Coronary Angiography

    E. Hansis;D. Schafer;O. Dossel;M. Grass

Frequent Co-Authors

Peter Börnert
Peter Börnert Philips (Finland)
Cristian Lorenz
Cristian Lorenz Philips (Finland)
Kawal Rhode
Kawal Rhode King's College London
Reza Razavi
Reza Razavi King's College London
Maxime Sermesant
Maxime Sermesant Université Côte d'Azur
Peter Deuflhard
Peter Deuflhard Zuse Institute Berlin
Dana H. Brooks
Dana H. Brooks Northeastern University
Claudia Prieto
Claudia Prieto Pontificia Universidad Católica de Chile
Hervé Delingette
Hervé Delingette French Institute for Research in Computer Science and Automation - INRIA

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