Visualisierung von Gefäßsystemen mit Convolution Surfaces. - Steffen Oeltze; Bernhard Preim (Bildverarbeitung für die Medizin, 2004)

Visualization of anatomic tree structures with convolution surfaces. - Steffen Oeltze; Bernhard Preim (VisSym, 2004)

Multiparametervisualisierung zur Exploration dynamischer Bilddaten. - Steffen Oeltze; Christian Bendicks; Sarah Behrens; Bernhard Preim (Bildverarbeitung für die Medizin, 2005)

Visualization of vasculature with convolution surfaces: method, validation and evaluation. - Steffen Oeltze; Bernhard Preim (IEEE Trans. Medical Imaging, 2005)

Integrierte Visualisierung von Anatomie und Perfusion des Myokards zur Früherkennung der Koronaren Herzkrankheit. - Steffen Oeltze; Anja Kuß; Anja Hennemuth; Caroline Kühnel; Bernhard Preim (Bildverarbeitung für die Medizin, 2006)

New Software Assistants for Cardiovascular Diagnosis. - Caroline Kühnel; Anja Hennemuth; Tobias Boskamp; Steffen Oeltze; Susanne Bock; Stefan Krass; Bernhard Preim; Heinz-Otto Peitgen (GI Jahrestagung (1), 2006)

Integrated Visualization of Morphologic and Perfusion Data for the Analysis of Coronary Artery Disease. - Steffen Oeltze; Anja Kuß; Frank Grothues; Anja Hennemuth; Bernhard Preim (EuroVis, 2006)

Integrierte Visualisierung kardialer MR-Daten zur Beurteilung von Funktion, Perfusion und Vitalität des Myokards. - Lydia Paasche; Steffen Oeltze; Frank Grothues; Anja Hennemuth; Caroline Kühnel; Bernhard Preim (Bildverarbeitung für die Medizin, 2007)

Visualisierung von Gefäßsystemen mit MPU Implicits. - Christian Schumann; Steffen Oeltze; Ragnar Bade; Bernhard Preim (Bildverarbeitung für die Medizin, 2007)

Model-free Surface Visualization of Vascular Trees. - Christian Schumann; Steffen Oeltze; Ragnar Bade; Bernhard Preim; Heinz-Otto Peitgen (EuroVis, 2007)

Interactive Visual Analysis of Perfusion Data. - Steffen Oeltze; Helmut Doleisch; Helwig Hauser; Philipp Muigg; Bernhard Preim (IEEE Trans. Vis. Comput. Graph., 2007)

3D Visualization of Vasculature: An Overview. - Bernhard Preim; Steffen Oeltze (Visualization in Medicine and Life Sciences, 2008)

Kontinuierliche Wanddickenbestimmung und Visualisierung des linken Herzventrikels. - Lars Dornheim; Peter Hahn; Steffen Oeltze; Bernhard Preim; Klaus D. Tönnies (Bildverarbeitung für die Medizin, 2008)

Intuitive Mapping of Perfusion Parameters to Glyph Shape. - Steffen Oeltze; Arvid Malyszczyk; Bernhard Preim (Bildverarbeitung für die Medizin, 2008)

Enhanced cardiovascular image analysis by combined representation of results from dynamic MRI and anatomic CTA. - Caroline Kühnel; Anja Hennemuth; Steffen Oeltze; Tobias Boskamp; Heinz-Otto Peitgen (Image-Guided Procedures, 2008)

CT Late Enhancement Segmentation for the Combined Analysis of Coronary Arteries and Myocardial Viability. - Anja Hennemuth; Andreas H. Mahnken; Caroline Kühnel; Steffen Oeltze; Heinz-Otto Peitgen (VCBM, 2008)

Glyph-Based Visualization of Myocardial Perfusion Data and Enhancement with Contractility and Viability Information. - Steffen Oeltze; Anja Hennemuth; Sylvia Glaßer; Caroline Kühnel; Bernhard Preim (VCBM, 2008)

A Four-level Focus+Context Approach to Interactive Visual Analysis of Temporal Features in Large Scientific Data. - Philipp Muigg; Johannes Kehrer; Steffen Oeltze; Harald Piringer; Helmut Doleisch; Bernhard Preim; Helwig Hauser (Comput. Graph. Forum, 2008)

A Comprehensive Approach to the Analysis of Contrast Enhanced Cardiac MR Images. - Anja Hennemuth; Achim Seeger; Ola Friman; Stephan Miller; Bernhard Klumpp; Steffen Oeltze; Heinz-Otto Peitgen (IEEE Trans. Medical Imaging, 2008)

Adapted Transfer Function Design for Coronary Artery Evaluation. - Sylvia Glaßer; Steffen Oeltze; Anja Hennemuth; Skadi Wilhelmsen; Bernhard Preim (Bildverarbeitung für die Medizin, 2009)

Cardiac Motion Estimation from Intracardiac Electrical Mapping Data: Identifying a Septal Flash in Heart Failure. - Oscar Camara 001; Steffen Oeltze; Mathieu De Craene; Rafael Sebastián; Etel Silva; David Tamborero; Lluís Mont; Marta Sitges; Bart H. Bijnens; Alejandro F. Frangi (FIMH, 2009)

A Visual Analytics Approach to Diagnosis of Breast DCE-MRI Data. - Sylvia Glaßer; Sebastian Schäfer 002; Steffen Oeltze; Uta Preim; Klaus D. Tönnies; Bernhard Preim (VMV, 2009)

Survey of the Visual Exploration and Analysis of Perfusion Data. - Bernhard Preim; Steffen Oeltze; Matej Mlejnek; M. Eduard Gröller; Anja Hennemuth; Sarah Behrens (IEEE Trans. Vis. Comput. Graph., 2009)

Automatic Transfer Function Specification for Visual Emphasis of Coronary Artery Plaque. - Sylvia Glaßer; Steffen Oeltze; Anja Hennemuth; Christoph Kubisch; Andreas H. Mahnken; Skadi Wilhelmsen; Bernhard Preim (Comput. Graph. Forum, 2010)

Visuelle Analyse medizinischer Daten. - Bernhard Preim; Steffen Oeltze; Klaus D. Tönnies (Inform. Spektrum, 2010)

Survey of glyph-based visualization techniques for spatial multivariate medical data. - Timo Ropinski; Steffen Oeltze; Bernhard Preim (Comput. Graph., 2011)

Interactive, Graph-based Visual Analysis of High-dimensional, Multi-parameter Fluorescence Microscopy Data in Toponomics. - Steffen Oeltze; Wolfgang Freiler; Reyk Hillert; Helmut Doleisch; Bernhard Preim; Walter Schubert (IEEE Trans. Vis. Comput. Graph., 2011)

Visualization and Exploration of 3D Toponome Data. - Steffen Oeltze; Paul Klemm; Reyk Hillert; Bernhard Preim; Walter Schubert (VCBM, 2012)

Visualization and Exploration of Shape Variance for the Analysis of Cohort Study Data. - Paul Klemm; Steffen Oeltze; Katrin Hegenscheid; Henry Völzke; Klaus D. Tönnies; Bernhard Preim (VMV, 2012)

Method for the evaluation of US perfusion for brain tumor surgery. - Claire Chalopin; Steffen Oeltze; Bernhard Preim; Andrea Müns; Jürgen Meixensberger; Dirk Lindner (CURAC, 2013)

Visual analysis of longitudinal brain tumor perfusion. - Sylvia Glaßer; Steffen Oeltze; Uta Preim; Atle Bjørnerud; Helwig Hauser; Bernhard Preim (Computer-Aided Diagnosis, 2013)

Visualization and Analysis of Lumbar Spine Canal Variability in Cohort Study Data. - Paul Klemm; Kai Lawonn; Marko Rak; Bernhard Preim; Klaus D. Tönnies; Katrin Hegenscheid; Henry Völzke; Steffen Oeltze (VMV, 2013)

Measurement of the Stratum Radiatum/Lacunosum-Moleculare (SRLM). - Steffen Oeltze; Hartmut Schütze; Anne Maaß; Emrah Düzel; Bernhard Preim (Bildverarbeitung für die Medizin, 2014)

Survey of Labeling Techniques in Medical Visualizations. - Steffen Oeltze-Jafra; Bernhard Preim (VCBM, 2014)

Interactive Labeling of Toponome Data. - Steffen Oeltze-Jafra; Franz Pieper; Reyk Hillert; Bernhard Preim; Walter Schubert (VCBM, 2014)

Interactive Visual Analysis of Heterogeneous Cohort-Study Data. - Paolo Angelelli; Steffen Oeltze; Judit Haasz; Cagatay Turkay; Erlend Hodneland; Arvid Lundervold; Astri J. Lundervold; Bernhard Preim; Helwig Hauser (IEEE Computer Graphics and Applications, 2014)

Interactive Visual Analysis of Image-Centric Cohort Study Data. - Paul Klemm; Steffen Oeltze-Jafra; Kai Lawonn; Katrin Hegenscheid; Henry Völzke; Bernhard Preim (IEEE Trans. Vis. Comput. Graph., 2014)

Blood Flow Clustering and Applications inVirtual Stenting of Intracranial Aneurysms. - Steffen Oeltze; Dirk J. Lehmann; Alexander Kuhn; Gábor Janiga; Holger Theisel; Bernhard Preim (IEEE Trans. Vis. Comput. Graph., 2014)

Visual Analytics of Image-Centric Cohort Studies in Epidemiology. - Bernhard Preim; Paul Klemm; Helwig Hauser; Katrin Hegenscheid; Steffen Oeltze; Klaus D. Tönnies; Henry Völzke (CoRR, 2015)

Visual Analytics of Image-Centric Cohort Studies in Epidemiology. - Bernhard Preim; Paul Klemm; Helwig Hauser; Katrin Hegenscheid; Steffen Oeltze; Klaus D. Tönnies; Henry Völzke (Visualization in Medicine and Life Sciences III, 2016)

Semi-Immersive 3D Sketching of Vascular Structures for Medical Education. - Patrick Saalfeld; Aleksandar Stojnic; Bernhard Preim; Steffen Oeltze-Jafra (VCBM/MedViz, 2016)

Cluster Analysis of Vortical Flow in Simulations of Cerebral Aneurysm Hemodynamics. - Steffen Oeltze-Jafra; Juan R. Cebral; Gábor Janiga; Bernhard Preim (IEEE Trans. Vis. Comput. Graph., 2016)

Visual analytics of medical and biological data - Steffen Oeltze-Jafra (2016)

Sketching and Annotating Vascular Structures to Support Medical Teaching, Treatment Planning and Patient Education. - Patrick Saalfeld; Steffen Oeltze-Jafra; Sylvia Saalfeld; Uta Preim; Oliver Beuing; Bernhard Preim (Eurographics (Dirk Bartz Prize), 2017)

Considering Information Up-to-Dateness to Increase the Accuracy of Therapy Decision Support Systems. - Jan Gaebel; Mario A. Cypko; Steffen Oeltze-Jafra (GMDS, 2017)

A Guide for Constructing Bayesian Network Graphs of Cancer Treatment Decisions. - Mario A. Cypko; Matthaeus Stoehr; Steffen Oeltze-Jafra; Andreas Dietz; Heinz U. Lemke (MedInfo, 2017)

Towards the Consideration of Diagnostic Delay in Model-Based Clinical Decision Support. - Jan Gaebel; Mario A. Cypko; Steffen Oeltze-Jafra (MedInfo, 2017)

Visual Verification of Cancer Staging for Therapy Decision Support. - Mario A. Cypko; Jan Wojdziak; Matthaeus Stoehr; Bettina Kirchner; Bernhard Preim; Andreas Dietz; Heinz U. Lemke; Steffen Oeltze-Jafra (Comput. Graph. Forum, 2017)

Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study. - Paras Multani; Uli Niemann; Mario A. Cypko; Jens-Peter Kuehn; Henry Völzke; Steffen Oeltze-Jafra; Myra Spiliopoulou (CBMS, 2018)

Modular Architecture for Integrated Model-Based Decision Support. - Jan Gaebel; Erik Schreiber; Alexander Oeser; Steffen Oeltze-Jafra (eHealth, 2018)

Information architecture for a patient-specific dashboard in head and neck tumor boards. - Alexander Oeser; Jan Gaebel; Andreas Dietz; Susanne Wiegand; Steffen Oeltze-Jafra (Int. J. Comput. Assist. Radiol. Surg., 2018)

Immersive Analytics Applications in Life and Health Sciences. - Tobias Czauderna; Jason Haga; Jinman Kim; Matthias Klapperstück; Karsten Klein 001; Torsten W. Kuhlen; Steffen Oeltze-Jafra; Björn Sommer 001; Falk Schreiber (Immersive Analytics, 2018)

Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites. - Florian Dubost; Max Dünnwald; Denver Huff; Vincent Scheumann; Frank Schreiber; Meike W. Vernooij; Wiro J. Niessen; Martin Skalej; Stefanie Schreiber; Steffen Oeltze-Jafra; Marleen de Bruijne (OR/MLCN@MICCAI, 2019)

Interactive Visual Analysis of Patient-Reported Outcomes for Improved Cancer Aftercare. - Juliane Müller 003; Veit Zebralla; Susanne Wiegand; Steffen Oeltze-Jafra (EuroVA@EuroVis, 2019)

Generation and Visual Exploration of Medical Flow Data: Survey, Research Trends and Future Challenges. - Steffen Oeltze-Jafra; Monique Meuschke; Mathias Neugebauer; Sylvia Saalfeld; Kai Lawonn; Gábor Janiga; Hans-Christian Hege; Stefan Zachow; Bernhard Preim (Comput. Graph. Forum, 2019)

Classification of Blood Flow Patterns in Cerebral Aneurysms. - Monique Meuschke; Steffen Oeltze-Jafra; Oliver Beuing; Bernhard Preim; Kai Lawonn (IEEE Trans. Vis. Comput. Graph., 2019)

Automated Segmentation of the Locus Coeruleus from Neuromelanin-Sensitive 3T MRI Using Deep Convolutional Neural Networks. - Max Dünnwald; Matthew J. Betts; Alessandro Sciarra; Emrah Düzel; Steffen Oeltze-Jafra (Bildverarbeitung für die Medizin, 2020)

Comprehensive Visualization of Longitudinal Patient Data for the Dermatological Oncological Tumor Board. - Nastasja Steinhauer; Marc Hörbrugger; Andreas Dominik Braun; Thomas Tüting; Steffen Oeltze-Jafra; Juliane Müller 003 (EuroVis (Short Papers), 2020)

Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support. - Jan Gaebel; Hans-Georg Wu; Alexander Oeser; Mario A. Cypko; Matthaeus Stoehr; Andreas Dietz; Thomas Neumuth; Stefan Franke; Steffen Oeltze-Jafra (Artif. Intell. Medicine, 2020)

A visual approach to explainable computerized clinical decision support. - Juliane Müller 003; Matthaeus Stoehr; Alexander Oeser; Jan Gaebel; Marc Streit; Andreas Dietz; Steffen Oeltze-Jafra (Comput. Graph., 2020)

Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning. - Soumick Chatterjee; Alessandro Sciarra; Max Dünnwald; Steffen Oeltze-Jafra; Andreas Nürnberger; Oliver Speck (CoRR, 2020)

User-Centered Development of a Clinical Decision Support System. - Anna Kleinau; Alex Mo; Juliane Müller-Sielaff; Johanna M. A. Pijnenborg; Peter J. F. Lucas; Steffen Oeltze-Jafra (SMARTERCARE@AI*IA, 2021)

Localization of the Locus Coeruleus in MRI via Coordinate Regression. - Max Dünnwald; Matthew J. Betts; Emrah Düzel; Steffen Oeltze-Jafra (Bildverarbeitung für die Medizin, 2021)

ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. - Soumick Chatterjee; Alessandro Sciarra; Max Dünnwald; Raghava Vinaykanth Mushunuri; Ranadheer Podishetti; Rajatha Nagaraja Rao; Geetha Doddapaneni Gopinath; Steffen Oeltze-Jafra; Oliver Speck; Andreas Nürnberger (EUSIPCO, 2021)

Visual Assistance in Clinical Decision Support. - Juliane Müller 003; Mario A. Cypko; Alexander Oeser; Matthaeus Stoehr; Veit Zebralla; Stefanie Schreiber; Susanne Wiegand; Andreas Dietz; Steffen Oeltze-Jafra (EuroVis (Dirk Bartz Prize), 2021)

Fully automated deep learning-based localization and segmentation of the locus coeruleus in aging and Parkinson's disease using neuromelanin-sensitive MRI. - Max Dünnwald; Philipp Ernst; Emrah Düzel; Klaus Tönnies; Matthew J. Betts; Steffen Oeltze-Jafra (Int. J. Comput. Assist. Radiol. Surg., 2021)

DimLift: Interactive Hierarchical Data Exploration Through Dimensional Bundling. - Laura A. Garrison; Juliane Müller 003; Stefanie Schreiber; Steffen Oeltze-Jafra; Helwig Hauser; Stefan Bruckner (IEEE Trans. Vis. Comput. Graph., 2021)

Integrated Dual Analysis of Quantitative and Qualitative High-Dimensional Data. - Juliane Müller 003; Laura A. Garrison; Philipp Ulbrich; Stefanie Schreiber; Stefan Bruckner; Helwig Hauser; Steffen Oeltze-Jafra (IEEE Trans. Vis. Comput. Graph., 2021)

StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder. - Soumick Chatterjee; Alessandro Sciarra; Max Dünnwald; Pavan Tummala; Shubham Kumar Agrawal; Aishwarya Jauhari; Aman Kalra; Steffen Oeltze-Jafra; Oliver Speck; Andreas Nürnberger (Comput. Biol. Medicine, 2022)

Foreword. - Kay Nieselt; Steffen Oeltze-Jafra; Thomas Schultz 001; Noeska N. Smit; Björn Sommer 001 (Comput. Graph., 2022)

Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images. - Alessandro Sciarra; Soumick Chatterjee; Max Dünnwald; Giuseppe Placidi; Andreas Nürnberger; Oliver Speck; Steffen Oeltze-Jafra (CoRR, 2022)

Deep Coordinate Regression for Weakly Supervised Segmentation of the Locus Coeruleus in MRI. - Max Dünnwald; Philipp Ernst; Emrah Düzel; Klaus Tönnies; Matthew J. Betts; Andreas Nürnberger; Steffen Oeltze-Jafra (CBMS, 2023)

Harmonisation of German Health Care Data Using the OMOP Common Data Model - A Practice Report. - Nicole Hechtel; Johanna Apfel-Starke; Sophia Köhler; Maikel Fradziak; Norman Schönfeld; Jens Steinmeyer; Steffen Oeltze-Jafra (ICIMTH, 2023)

Comparative Visualization of Longitudinal 24-hour Ambulatory Blood Pressure Measurements in Pediatric Patients with Chronic Kidney Disease. - Mahmut Özmen; Mohamed Yaseen Jabarulla; Carl Robert Grabitz; Anette Melk; Elke Wühl; Steffen Oeltze-Jafra (EuroVis (Posters), 2023)

Visual Assistance in Development and Validation of Bayesian Networks for Clinical Decision Support. - Juliane Müller-Sielaff; Seyed Behnam Beladi; Stephanie W. Vrede; Monique Meuschke; Peter J. F. Lucas; Johanna M. A. Pijnenborg; Steffen Oeltze-Jafra (IEEE Trans. Vis. Comput. Graph., 2023)

MedDoc-Bot: A Chat Tool for Comparative Analysis of Large Language Models in the Context of the Pediatric Hypertension Guideline. - Mohamed Yaseen Jabarulla; Steffen Oeltze-Jafra; Philipp Beerbaum; Theodor Uden (EMBC, 2024)

Cooperative Design of a Dashboard for Monitoring the P4D Cohort Study on Major Depression. - Hamidreza Maharlou; Nicole Bössel-Debbert; Michael Lucht; Hannah B. Maier; Stefanie Mücke; Fabian Müntefering; Barbara Neuhaus; Jana Prokein; Christine Reif-Leonhard; Jan Voges; Heike Weber; Antoine Weihs; et al. (EuroVis (Posters), 2024)

Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning. - Mohamed Yaseen Jabarulla; Theodor Uden; Thomas Jack; Philipp Beerbaum; Steffen Oeltze-Jafra (CoRR, 2024)

Beyond Nyquist: A Comparative Analysis of 3D Deep Learning Models Enhancing MRI Resolution. - Soumick Chatterjee; Alessandro Sciarra; Max Dünnwald; Anitha Bhat Talagini Ashoka; Mayura Gurjar Cheepinahalli Vasudeva; Shudarsan Saravanan; Venkatesh Thirugnana Sambandham; Pavan Tummala; Steffen Oeltze-Jafra; Oliver Speck; Andreas Nürnberger (J. Imaging, 2024)

DualPath-FFNet - Dynamic Fusion of Pre-trained Features with Sigmoid-gated Attention for Improved Medical Image Segmentation. - Sadat H. Chowdhury; Mohamed Yaseen Jabarulla; Hinrich B. Winther; Steffen Oeltze-Jafra (Bildverarbeitung für die Medizin, 2025)

MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines. - Mohamed Yaseen Jabarulla; Steffen Oeltze-Jafra; Philipp Beerbaum; Theodor Uden (CBMS, 2025)

Using Photon-Counting CT Images for Lung Nodule Classification. - Leonie Basso; Zahra Ahmadi; Steffen Oeltze-Jafra; Eike Petersen; Hoen-oh Shin; Andrea Schenk (WSDM, 2025)

Auto-nnU-Net: Towards Automated Medical Image Segmentation. - Jannis Becktepe; Leona Hennig; Steffen Oeltze-Jafra; Marius Lindauer (CoRR, 2025)