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2020 – today
- 2025
- [c47]Sadat H. Chowdhury, Mohamed Yaseen Jabarulla, Hinrich B. Winther, Steffen Oeltze-Jafra:
DualPath-FFNet - Dynamic Fusion of Pre-trained Features with Sigmoid-gated Attention for Improved Medical Image Segmentation. Bildverarbeitung für die Medizin 2025: 317-322 - [c46]Leonie Basso
, Zahra Ahmadi
, Steffen Oeltze-Jafra
, Eike Petersen
, Hoen-oh Shin
, Andrea Schenk
:
Using Photon-Counting CT Images for Lung Nodule Classification. WSDM 2025: 1102-1103 - 2024
- [j26]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
:
Beyond Nyquist: A Comparative Analysis of 3D Deep Learning Models Enhancing MRI Resolution. J. Imaging 10(9): 207 (2024) - [c45]Mohamed Yaseen Jabarulla
, Steffen Oeltze-Jafra, Philipp Beerbaum, Theodor Uden:
MedDoc-Bot: A Chat Tool for Comparative Analysis of Large Language Models in the Context of the Pediatric Hypertension Guideline. EMBC 2024: 1-4 - [c44]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, Helge Frieling, Steffen Oeltze-Jafra:
Cooperative Design of a Dashboard for Monitoring the P4D Cohort Study on Major Depression. EuroVis (Posters) 2024 - [i7]Mohamed Yaseen Jabarulla, Steffen Oeltze-Jafra, Philipp Beerbaum, Theodor Uden:
MedDoc-Bot: A Chat Tool for Comparative Analysis of Large Language Models in the Context of the Pediatric Hypertension Guideline. CoRR abs/2405.03359 (2024) - [i6]Mohamed Yaseen Jabarulla
, Theodor Uden, Thomas Jack, Philipp Beerbaum, Steffen Oeltze-Jafra:
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning. CoRR abs/2411.10255 (2024) - 2023
- [j25]Juliane Müller-Sielaff
, Seyed Behnam Beladi
, Stephanie W. Vrede, Monique Meuschke
, Peter J. F. Lucas
, Johanna M. A. Pijnenborg, Steffen Oeltze-Jafra
:
Visual Assistance in Development and Validation of Bayesian Networks for Clinical Decision Support. IEEE Trans. Vis. Comput. Graph. 29(8): 3602-3616 (2023) - [c43]Max Dünnwald, Philipp Ernst, Emrah Düzel, Klaus Tönnies, Matthew J. Betts, Andreas Nürnberger, Steffen Oeltze-Jafra:
Deep Coordinate Regression for Weakly Supervised Segmentation of the Locus Coeruleus in MRI. CBMS 2023: 441-445 - [c42]Nicole Hechtel, Johanna Apfel-Starke
, Sophia Köhler, Maikel Fradziak, Norman Schönfeld, Jens Steinmeyer, Steffen Oeltze-Jafra:
Harmonisation of German Health Care Data Using the OMOP Common Data Model - A Practice Report. ICIMTH 2023: 287-290 - [c41]Mahmut Özmen
, Mohamed Yaseen Jabarulla
, Carl Robert Grabitz, Anette Melk, Elke Wühl, Steffen Oeltze-Jafra:
Comparative Visualization of Longitudinal 24-hour Ambulatory Blood Pressure Measurements in Pediatric Patients with Chronic Kidney Disease. EuroVis (Posters) 2023: 25-27 - 2022
- [j24]Soumick Chatterjee
, Alessandro Sciarra, Max Dünnwald, Pavan Tummala
, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder. Comput. Biol. Medicine 149: 106093 (2022) - [j23]Kay Nieselt, Steffen Oeltze-Jafra, Thomas Schultz, Noeska N. Smit, Björn Sommer:
Foreword. Comput. Graph. 108: 4- (2022) - [i5]Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Pavan Tummala, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder. CoRR abs/2201.13271 (2022) - [i4]Alessandro Sciarra, Soumick Chatterjee
, Max Dünnwald, Giuseppe Placidi, Andreas Nürnberger, Oliver Speck, Steffen Oeltze-Jafra:
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images. CoRR abs/2206.06725 (2022) - 2021
- [j22]Max Dünnwald
, Philipp Ernst, Emrah Düzel, Klaus Tönnies, Matthew J. Betts, Steffen Oeltze-Jafra:
Fully automated deep learning-based localization and segmentation of the locus coeruleus in aging and Parkinson's disease using neuromelanin-sensitive MRI. Int. J. Comput. Assist. Radiol. Surg. 16(12): 2129-2135 (2021) - [j21]Laura A. Garrison
, Juliane Müller
, Stefanie Schreiber, Steffen Oeltze-Jafra
, Helwig Hauser
, Stefan Bruckner
:
DimLift: Interactive Hierarchical Data Exploration Through Dimensional Bundling. IEEE Trans. Vis. Comput. Graph. 27(6): 2908-2922 (2021) - [j20]Juliane Müller
, Laura A. Garrison
, Philipp Ulbrich
, Stefanie Schreiber, Stefan Bruckner
, Helwig Hauser
, Steffen Oeltze-Jafra
:
Integrated Dual Analysis of Quantitative and Qualitative High-Dimensional Data. IEEE Trans. Vis. Comput. Graph. 27(6): 2953-2966 (2021) - [c40]Anna Kleinau, Alex Mo, Juliane Müller-Sielaff, Johanna M. A. Pijnenborg, Peter J. F. Lucas, Steffen Oeltze-Jafra:
User-Centered Development of a Clinical Decision Support System. SMARTERCARE@AI*IA 2021: 67-78 - [c39]Max Dünnwald, Matthew J. Betts, Emrah Düzel, Steffen Oeltze-Jafra:
Localization of the Locus Coeruleus in MRI via Coordinate Regression. Bildverarbeitung für die Medizin 2021: 10-15 - [c38]Soumick Chatterjee
, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri
, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. EUSIPCO 2021: 940-944 - [c37]Juliane Müller
, Mario A. Cypko, Alexander Oeser
, Matthaeus Stoehr, Veit Zebralla, Stefanie Schreiber, Susanne Wiegand, Andreas Dietz, Steffen Oeltze-Jafra
:
Visual Assistance in Clinical Decision Support. EuroVis (Dirk Bartz Prize) 2021: 7-11 - [e2]Steffen Oeltze-Jafra, Noeska N. Smit, Björn Sommer, Kay Nieselt, Thomas Schultz:
11th Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2021, Paris, France, September 22-24, 2021. Eurographics Association 2021, ISBN 978-3-03868-140-3 [contents] - [i3]Soumick Chatterjee
, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. CoRR abs/2102.12898 (2021) - 2020
- [j19]Jan Gaebel, Hans-Georg Wu, Alexander Oeser
, Mario A. Cypko, Matthaeus Stoehr, Andreas Dietz, Thomas Neumuth, Stefan Franke, Steffen Oeltze-Jafra:
Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support. Artif. Intell. Medicine 104: 101842 (2020) - [j18]Juliane Müller
, Matthaeus Stoehr, Alexander Oeser
, Jan Gaebel, Marc Streit, Andreas Dietz, Steffen Oeltze-Jafra:
A visual approach to explainable computerized clinical decision support. Comput. Graph. 91: 1-11 (2020) - [c36]Max Dünnwald, Matthew J. Betts, Alessandro Sciarra, Emrah Düzel, Steffen Oeltze-Jafra:
Automated Segmentation of the Locus Coeruleus from Neuromelanin-Sensitive 3T MRI Using Deep Convolutional Neural Networks. Bildverarbeitung für die Medizin 2020: 61-66 - [c35]Nastasja Steinhauer, Marc Hörbrugger, Andreas Dominik Braun, Thomas Tüting, Steffen Oeltze-Jafra, Juliane Müller
:
Comprehensive Visualization of Longitudinal Patient Data for the Dermatological Oncological Tumor Board. EuroVis (Short Papers) 2020: 169-173 - [i2]Soumick Chatterjee
, Alessandro Sciarra, Max Dünnwald, Steffen Oeltze-Jafra, Andreas Nürnberger, Oliver Speck:
Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning. CoRR abs/2011.14134 (2020)
2010 – 2019
- 2019
- [j17]Steffen Oeltze-Jafra, Monique Meuschke, Mathias Neugebauer, Sylvia Saalfeld, Kai Lawonn, Gábor Janiga, Hans-Christian Hege
, Stefan Zachow, Bernhard Preim:
Generation and Visual Exploration of Medical Flow Data: Survey, Research Trends and Future Challenges. Comput. Graph. Forum 38(1): 87-125 (2019) - [j16]Monique Meuschke
, Steffen Oeltze-Jafra, Oliver Beuing, Bernhard Preim, Kai Lawonn
:
Classification of Blood Flow Patterns in Cerebral Aneurysms. IEEE Trans. Vis. Comput. Graph. 25(7): 2404-2418 (2019) - [c34]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
:
Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites. OR/MLCN@MICCAI 2019: 103-111 - [c33]Juliane Müller, Veit Zebralla, Susanne Wiegand, Steffen Oeltze-Jafra:
Interactive Visual Analysis of Patient-Reported Outcomes for Improved Cancer Aftercare. EuroVA@EuroVis 2019: 78-82 - [e1]Stefan Bruckner, Steffen Oeltze-Jafra:
40th Annual Conference of the European Association for Computer Graphics, Eurographics 2019 - Dirk Bartz Prize, Genoa, Italy, May 6-10, 2019. Eurographics Association 2019 [contents] - 2018
- [j15]Alexander Oeser
, Jan Gaebel, Andreas Dietz, Susanne Wiegand, Steffen Oeltze-Jafra:
Information architecture for a patient-specific dashboard in head and neck tumor boards. Int. J. Comput. Assist. Radiol. Surg. 13(8): 1283-1290 (2018) - [c32]Paras Multani, Uli Niemann
, Mario A. Cypko, Jens-Peter Kuehn, Henry Völzke, Steffen Oeltze-Jafra, Myra Spiliopoulou:
Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study. CBMS 2018: 88-93 - [c31]Jan Gaebel, Erik Schreiber, Alexander Oeser, Steffen Oeltze-Jafra:
Modular Architecture for Integrated Model-Based Decision Support. eHealth 2018: 108-115 - [p3]Tobias Czauderna
, Jason Haga, Jinman Kim, Matthias Klapperstück, Karsten Klein, Torsten W. Kuhlen, Steffen Oeltze-Jafra, Björn Sommer, Falk Schreiber:
Immersive Analytics Applications in Life and Health Sciences. Immersive Analytics 2018: 289-330 - 2017
- [j14]Mario A. Cypko, Jan Wojdziak, Matthaeus Stoehr, Bettina Kirchner, Bernhard Preim, Andreas Dietz, Heinz U. Lemke, Steffen Oeltze-Jafra:
Visual Verification of Cancer Staging for Therapy Decision Support. Comput. Graph. Forum 36(3): 109-120 (2017) - [c30]Patrick Saalfeld, Steffen Oeltze-Jafra, Sylvia Saalfeld, Uta Preim, Oliver Beuing, Bernhard Preim:
Sketching and Annotating Vascular Structures to Support Medical Teaching, Treatment Planning and Patient Education. Eurographics (Dirk Bartz Prize) 2017: 5-8 - [c29]Jan Gaebel, Mario A. Cypko, Steffen Oeltze-Jafra:
Considering Information Up-to-Dateness to Increase the Accuracy of Therapy Decision Support Systems. GMDS 2017: 217-221 - [c28]Jan Gaebel, Mario A. Cypko, Steffen Oeltze-Jafra:
Towards the Consideration of Diagnostic Delay in Model-Based Clinical Decision Support. MedInfo 2017: 1323 - [c27]Mario A. Cypko, Matthaeus Stoehr, Steffen Oeltze-Jafra, Andreas Dietz, Heinz U. Lemke:
A Guide for Constructing Bayesian Network Graphs of Cancer Treatment Decisions. MedInfo 2017: 1355 - 2016
- [b1]Steffen Oeltze-Jafra:
Visual analytics of medical and biological data. University of Halle, Germany, 2016 - [j13]Steffen Oeltze-Jafra, Juan R. Cebral, Gábor Janiga, Bernhard Preim:
Cluster Analysis of Vortical Flow in Simulations of Cerebral Aneurysm Hemodynamics. IEEE Trans. Vis. Comput. Graph. 22(1): 757-766 (2016) - [c26]Patrick Saalfeld, Aleksandar Stojnic, Bernhard Preim, Steffen Oeltze-Jafra:
Semi-Immersive 3D Sketching of Vascular Structures for Medical Education. VCBM/MedViz 2016: 123-132 - [p2]Bernhard Preim, Paul Klemm
, Helwig Hauser, Katrin Hegenscheid, Steffen Oeltze, Klaus D. Tönnies, Henry Völzke:
Visual Analytics of Image-Centric Cohort Studies in Epidemiology. Visualization in Medicine and Life Sciences III 2016: 221-248 - 2015
- [i1]Bernhard Preim, Paul Klemm, Helwig Hauser, Katrin Hegenscheid, Steffen Oeltze, Klaus D. Tönnies, Henry Völzke:
Visual Analytics of Image-Centric Cohort Studies in Epidemiology. CoRR abs/1501.04009 (2015) - 2014
- [j12]Paolo Angelelli, Steffen Oeltze, Judit Haasz, Cagatay Turkay
, Erlend Hodneland, Arvid Lundervold
, Astri J. Lundervold
, Bernhard Preim
, Helwig Hauser:
Interactive Visual Analysis of Heterogeneous Cohort-Study Data. IEEE Computer Graphics and Applications 34(5): 70-82 (2014) - [j11]Steffen Oeltze, Dirk J. Lehmann, Alexander Kuhn, Gábor Janiga
, Holger Theisel, Bernhard Preim
:
Blood Flow Clustering and Applications inVirtual Stenting of Intracranial Aneurysms. IEEE Trans. Vis. Comput. Graph. 20(5): 686-701 (2014) - [j10]Paul Klemm
, Steffen Oeltze-Jafra, Kai Lawonn, Katrin Hegenscheid, Henry Völzke, Bernhard Preim
:
Interactive Visual Analysis of Image-Centric Cohort Study Data. IEEE Trans. Vis. Comput. Graph. 20(12): 1673-1682 (2014) - [c25]Steffen Oeltze, Hartmut Schütze, Anne Maaß, Emrah Düzel, Bernhard Preim
:
Measurement of the Stratum Radiatum/Lacunosum-Moleculare (SRLM). Bildverarbeitung für die Medizin 2014: 264-269 - [c24]Steffen Oeltze-Jafra, Franz Pieper, Reyk Hillert, Bernhard Preim, Walter Schubert:
Interactive Labeling of Toponome Data. VCBM 2014: 79-88 - [c23]Steffen Oeltze-Jafra, Bernhard Preim:
Survey of Labeling Techniques in Medical Visualizations. VCBM 2014: 199-208 - 2013
- [c22]Claire Chalopin, Steffen Oeltze, Bernhard Preim, Andrea Müns, Jürgen Meixensberger, Dirk Lindner:
Method for the evaluation of US perfusion for brain tumor surgery. CURAC 2013: 198-202 - [c21]Sylvia Glaßer, Steffen Oeltze, Uta Preim, Atle Bjørnerud, Helwig Hauser, Bernhard Preim
:
Visual analysis of longitudinal brain tumor perfusion. Computer-Aided Diagnosis 2013: 86700Z - [c20]Paul Klemm
, Kai Lawonn, Marko Rak, Bernhard Preim, Klaus D. Tönnies, Katrin Hegenscheid, Henry Völzke, Steffen Oeltze:
Visualization and Analysis of Lumbar Spine Canal Variability in Cohort Study Data. VMV 2013: 121-128 - 2012
- [c19]Steffen Oeltze, Paul Klemm
, Reyk Hillert, Bernhard Preim
, Walter Schubert
:
Visualization and Exploration of 3D Toponome Data. VCBM 2012: 115-122 - [c18]Paul Klemm
, Steffen Oeltze, Katrin Hegenscheid, Henry Völzke, Klaus D. Tönnies, Bernhard Preim
:
Visualization and Exploration of Shape Variance for the Analysis of Cohort Study Data. VMV 2012: 221-222 - 2011
- [j9]Timo Ropinski
, Steffen Oeltze, Bernhard Preim
:
Survey of glyph-based visualization techniques for spatial multivariate medical data. Comput. Graph. 35(2): 392-401 (2011) - [j8]Steffen Oeltze, Wolfgang Freiler, Reyk Hillert, Helmut Doleisch, Bernhard Preim
, Walter Schubert
:
Interactive, Graph-based Visual Analysis of High-dimensional, Multi-parameter Fluorescence Microscopy Data in Toponomics. IEEE Trans. Vis. Comput. Graph. 17(12): 1882-1891 (2011) - 2010
- [j7]Sylvia Glaßer, Steffen Oeltze, Anja Hennemuth
, Christoph Kubisch, Andreas H. Mahnken
, Skadi Wilhelmsen, Bernhard Preim
:
Automatic Transfer Function Specification for Visual Emphasis of Coronary Artery Plaque. Comput. Graph. Forum 29(1): 191-201 (2010) - [j6]Bernhard Preim
, Steffen Oeltze, Klaus D. Tönnies:
Visuelle Analyse medizinischer Daten. Inform. Spektrum 33(6): 569-579 (2010)
2000 – 2009
- 2009
- [j5]Bernhard Preim
, Steffen Oeltze, Matej Mlejnek, M. Eduard Gröller, Anja Hennemuth
, Sarah Behrens:
Survey of the Visual Exploration and Analysis of Perfusion Data. IEEE Trans. Vis. Comput. Graph. 15(2): 205-220 (2009) - [c17]Sylvia Glaßer, Steffen Oeltze, Anja Hennemuth
, Skadi Wilhelmsen, Bernhard Preim:
Adapted Transfer Function Design for Coronary Artery Evaluation. Bildverarbeitung für die Medizin 2009: 1-5 - [c16]Oscar Camara
, Steffen Oeltze, Mathieu De Craene, Rafael Sebastián
, Etel Silva
, David Tamborero, Lluís Mont
, Marta Sitges, Bart H. Bijnens
, Alejandro F. Frangi
:
Cardiac Motion Estimation from Intracardiac Electrical Mapping Data: Identifying a Septal Flash in Heart Failure. FIMH 2009: 21-29 - [c15]Sylvia Glaßer, Sebastian Schäfer, Steffen Oeltze, Uta Preim, Klaus D. Tönnies, Bernhard Preim:
A Visual Analytics Approach to Diagnosis of Breast DCE-MRI Data. VMV 2009: 351-362 - 2008
- [j4]Philipp Muigg, Johannes Kehrer, Steffen Oeltze, Harald Piringer, Helmut Doleisch, Bernhard Preim
, Helwig Hauser:
A Four-level Focus+Context Approach to Interactive Visual Analysis of Temporal Features in Large Scientific Data. Comput. Graph. Forum 27(3): 775-782 (2008) - [j3]Anja Hennemuth
, Achim Seeger, Ola Friman, Stephan Miller, Bernhard Klumpp, Steffen Oeltze, Heinz-Otto Peitgen:
A Comprehensive Approach to the Analysis of Contrast Enhanced Cardiac MR Images. IEEE Trans. Medical Imaging 27(11): 1592-1610 (2008) - [c14]Steffen Oeltze, Arvid Malyszczyk, Bernhard Preim:
Intuitive Mapping of Perfusion Parameters to Glyph Shape. Bildverarbeitung für die Medizin 2008: 262-266 - [c13]Lars Dornheim, Peter Hahn, Steffen Oeltze, Bernhard Preim, Klaus D. Tönnies:
Kontinuierliche Wanddickenbestimmung und Visualisierung des linken Herzventrikels. Bildverarbeitung für die Medizin 2008: 333-337 - [c12]Caroline Kühnel, Anja Hennemuth
, Steffen Oeltze, Tobias Boskamp
, Heinz-Otto Peitgen:
Enhanced cardiovascular image analysis by combined representation of results from dynamic MRI and anatomic CTA. Image-Guided Procedures 2008: 69180S - [c11]Anja Hennemuth
, Andreas H. Mahnken, Caroline Kühnel, Steffen Oeltze, Heinz-Otto Peitgen:
CT Late Enhancement Segmentation for the Combined Analysis of Coronary Arteries and Myocardial Viability. VCBM 2008: 1-9 - [c10]Steffen Oeltze, Anja Hennemuth
, Sylvia Glaßer, Caroline Kühnel, Bernhard Preim:
Glyph-Based Visualization of Myocardial Perfusion Data and Enhancement with Contractility and Viability Information. VCBM 2008: 11-20 - [p1]Bernhard Preim, Steffen Oeltze:
3D Visualization of Vasculature: An Overview. Visualization in Medicine and Life Sciences 2008: 39-59 - 2007
- [j2]Steffen Oeltze, Helmut Doleisch, Helwig Hauser, Philipp Muigg, Bernhard Preim
:
Interactive Visual Analysis of Perfusion Data. IEEE Trans. Vis. Comput. Graph. 13(6): 1392-1399 (2007) - [c9]Christian Schumann, Steffen Oeltze, Ragnar Bade, Bernhard Preim:
Visualisierung von Gefäßsystemen mit MPU Implicits. Bildverarbeitung für die Medizin 2007: 207-211 - [c8]Lydia Paasche, Steffen Oeltze, Frank Grothues, Anja Hennemuth
, Caroline Kühnel, Bernhard Preim:
Integrierte Visualisierung kardialer MR-Daten zur Beurteilung von Funktion, Perfusion und Vitalität des Myokards. Bildverarbeitung für die Medizin 2007: 212-216 - [c7]Christian Schumann, Steffen Oeltze, Ragnar Bade, Bernhard Preim, Heinz-Otto Peitgen:
Model-free Surface Visualization of Vascular Trees. EuroVis 2007: 283-290 - 2006
- [c6]Steffen Oeltze, Anja Kuß, Anja Hennemuth
, Caroline Kühnel, Bernhard Preim:
Integrierte Visualisierung von Anatomie und Perfusion des Myokards zur Früherkennung der Koronaren Herzkrankheit. Bildverarbeitung für die Medizin 2006: 291-295 - [c5]Caroline Kühnel, Anja Hennemuth, Tobias Boskamp, Steffen Oeltze, Susanne Bock, Stefan Krass, Bernhard Preim, Heinz-Otto Peitgen:
New Software Assistants for Cardiovascular Diagnosis. GI Jahrestagung (1) 2006: 491-498 - [c4]Steffen Oeltze, Anja Kuß, Frank Grothues, Anja Hennemuth, Bernhard Preim:
Integrated Visualization of Morphologic and Perfusion Data for the Analysis of Coronary Artery Disease. EuroVis 2006: 131-138 - 2005
- [j1]Steffen Oeltze, Bernhard Preim
:
Visualization of vasculature with convolution surfaces: method, validation and evaluation. IEEE Trans. Medical Imaging 24(4): 540-548 (2005) - [c3]Steffen Oeltze, Christian Bendicks, Sarah Behrens, Bernhard Preim
:
Multiparametervisualisierung zur Exploration dynamischer Bilddaten. Bildverarbeitung für die Medizin 2005: 317-321 - 2004
- [c2]Steffen Oeltze, Bernhard Preim:
Visualisierung von Gefäßsystemen mit Convolution Surfaces. Bildverarbeitung für die Medizin 2004: 189-193 - [c1]Steffen Oeltze, Bernhard Preim:
Visualization of anatomic tree structures with convolution surfaces. VisSym 2004: 311-320
Coauthor Index

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