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 | Aaron Schroeder, Kai Ostendorf, Kathrin Bäumler, Domenico Mastrodicasa, Dominik Fleischmann, Bernhard Preim, Holger Theisel, Gabriel Mistelbauer Understanding Aortic Dissection Hemodynamics: Evaluating Adapted Smoke Surfaces Against Streakline-Based Techniques Journal Article Forthcoming IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2025), 33 (1), Forthcoming. @article{Schroeder2025, title = {Understanding Aortic Dissection Hemodynamics: Evaluating Adapted Smoke Surfaces Against Streakline-Based Techniques}, author = {Aaron Schroeder and Kai Ostendorf and Kathrin Bäumler and Domenico Mastrodicasa and Dominik Fleischmann and Bernhard Preim and Holger Theisel and Gabriel Mistelbauer}, url = {https://www.vismd.de/wp-content/uploads/2025/09/Schroeder2025.pdf https://www.vismd.de/wp-content/uploads/2025/09/Schroeder2025_plots.pdf https://www.vismd.de/wp-content/uploads/2025/09/Schroeder2025_results.xlsx}, year = {2025}, date = {2025-11-02}, journal = {IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2025)}, volume = {33}, number = {1}, publisher = {IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2025)}, abstract = {Aortic dissection is a life-threatening cardiovascular disease characterized by blood entering the media layer of the aortic vessel wall. This creates a second flow channel, known as the false lumen, which weakens the aortic wall and can potentially lead to fatal aortic rupture. Current risk stratification of aortic dissections is primarily based on morphological features of the aorta. However, hemodynamics also play a significant role in disease progression, though their investigation and visualization remain challenging. Common flow visualizations often experience visual clutter, especially when dealing with the intricate morphologies of aortic dissections. In this work, we implement and evaluate different approaches to visualizing the flow in aortic dissections effectively. We employ three techniques, namely streaklines with depth-dependent halos, transparent streaklines, and smoke surfaces. The latter is a technique based on streak surfaces, enhanced with opacity modulations, to produce a smoke-like appearance that improves visual clarity. We adapt the original opacity modulation of smoke surfaces to visualize flow even within the complex geometries of aortic dissections, thereby enhancing visual fidelity. To effectively capture dissection hemodynamics, we developed customized seeding structures that adapt to the shape of the surrounding lumen. Our evaluation, conducted via an online questionnaire, included medical professionals, fluid simulation experts, and visualization specialists. By analyzing results across these groups, we highlight differences in preference and interpretability, offering insight into domain-specific needs. No single visualization technique emerged as the best overall. Smoke surfaces provide the best overall clarity and visual realism. However, participants found streaklines with halos to be the best for quantifying flow, dispite them introducing significant visual clutter. Transparent streaklines serve as a middle ground, offering improved clarity over halos while maintaining some level of detail. Across all participant groups, smoke surfaces were rated as the most visually appealing and lifelike, with medical professionals highlighting their resemblance to contrast-agent injections used in clinical practice.}, keywords = {}, pubstate = {forthcoming}, tppubtype = {article} } Aortic dissection is a life-threatening cardiovascular disease characterized by blood entering the media layer of the aortic vessel wall. This creates a second flow channel, known as the false lumen, which weakens the aortic wall and can potentially lead to fatal aortic rupture. Current risk stratification of aortic dissections is primarily based on morphological features of the aorta. However, hemodynamics also play a significant role in disease progression, though their investigation and visualization remain challenging. Common flow visualizations often experience visual clutter, especially when dealing with the intricate morphologies of aortic dissections. In this work, we implement and evaluate different approaches to visualizing the flow in aortic dissections effectively. We employ three techniques, namely streaklines with depth-dependent halos, transparent streaklines, and smoke surfaces. The latter is a technique based on streak surfaces, enhanced with opacity modulations, to produce a smoke-like appearance that improves visual clarity. We adapt the original opacity modulation of smoke surfaces to visualize flow even within the complex geometries of aortic dissections, thereby enhancing visual fidelity. To effectively capture dissection hemodynamics, we developed customized seeding structures that adapt to the shape of the surrounding lumen. Our evaluation, conducted via an online questionnaire, included medical professionals, fluid simulation experts, and visualization specialists. By analyzing results across these groups, we highlight differences in preference and interpretability, offering insight into domain-specific needs. No single visualization technique emerged as the best overall. Smoke surfaces provide the best overall clarity and visual realism. However, participants found streaklines with halos to be the best for quantifying flow, dispite them introducing significant visual clutter. Transparent streaklines serve as a middle ground, offering improved clarity over halos while maintaining some level of detail. Across all participant groups, smoke surfaces were rated as the most visually appealing and lifelike, with medical professionals highlighting their resemblance to contrast-agent injections used in clinical practice. |
 | Kai Ostendorf, Kathrin Bäumler, Domenico Mastrodicasa, Dominik Fleischmann, Bernhard Preim, Gabriel Mistelbauer Synthetic surface mesh generation of aortic dissections using statistical shape modeling Journal Article Computers & Graphics 2024, 124 , pp. 104070, 2024, ISSN: 0097-8493. @article{Ostendorf2024, title = {Synthetic surface mesh generation of aortic dissections using statistical shape modeling}, author = {Kai Ostendorf and Kathrin Bäumler and Domenico Mastrodicasa and Dominik Fleischmann and Bernhard Preim and Gabriel Mistelbauer}, url = {https://www.sciencedirect.com/science/article/pii/S009784932400205X}, doi = {https://doi.org/10.1016/j.cag.2024.104070}, issn = {0097-8493}, year = {2024}, date = {2024-10-01}, journal = {Computers & Graphics 2024}, volume = {124}, pages = {104070}, abstract = {Aortic dissection is a rare disease affecting the aortic wall layers splitting the aortic lumen into two flow channels: the true and false lumen. The rarity of the disease leads to a sparsity of available datasets resulting in a low amount of available training data for in-silico studies or the training of machine learning algorithms. To mitigate this issue, we use statistical shape modeling to create a database of Stanford type B dissection surface meshes. We account for the complex disease anatomy by modeling two separate flow channels in the aorta, the true and false lumen. Former approaches mainly modeled the aortic arch including its branches but not two separate flow channels inside the aorta. To our knowledge, our approach is the first to attempt generating synthetic aortic dissection surface meshes. For the statistical shape model, the aorta is parameterized using the centerlines of the respective lumen and the according ellipses describing the cross-section of the lumen while being aligned along the centerline employing rotation-minimizing frames. To evaluate our approach we introduce disease-specific quality criteria by investigating the torsion and twist of the true lumen.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Aortic dissection is a rare disease affecting the aortic wall layers splitting the aortic lumen into two flow channels: the true and false lumen. The rarity of the disease leads to a sparsity of available datasets resulting in a low amount of available training data for in-silico studies or the training of machine learning algorithms. To mitigate this issue, we use statistical shape modeling to create a database of Stanford type B dissection surface meshes. We account for the complex disease anatomy by modeling two separate flow channels in the aorta, the true and false lumen. Former approaches mainly modeled the aortic arch including its branches but not two separate flow channels inside the aorta. To our knowledge, our approach is the first to attempt generating synthetic aortic dissection surface meshes. For the statistical shape model, the aorta is parameterized using the centerlines of the respective lumen and the according ellipses describing the cross-section of the lumen while being aligned along the centerline employing rotation-minimizing frames. To evaluate our approach we introduce disease-specific quality criteria by investigating the torsion and twist of the true lumen. |
 | Aaron Schroeder, Kai Ostendorf, Kathrin Bäumler, Domenico Mastrodicasa, Veit Sandfort, Dominik Fleischmann, Bernhard Preim, Gabriel Mistelbauer Advanced visualization of aortic dissection anatomy and hemodynamics Journal Article Computers & Graphics 2024, 124 , pp. 104060, 2024, ISSN: 0097-8493. @article{Schroeder2024, title = {Advanced visualization of aortic dissection anatomy and hemodynamics}, author = {Aaron Schroeder and Kai Ostendorf and Kathrin Bäumler and Domenico Mastrodicasa and Veit Sandfort and Dominik Fleischmann and Bernhard Preim and Gabriel Mistelbauer}, url = {https://www.sciencedirect.com/science/article/pii/S009784932400195X}, doi = {https://doi.org/10.1016/j.cag.2024.104060}, issn = {0097-8493}, year = {2024}, date = {2024-10-01}, journal = {Computers & Graphics 2024}, volume = {124}, pages = {104060}, abstract = {Aortic dissection is a life-threatening cardiovascular disease constituted by the delamination of the aortic wall. Due to the weakened structure of the false lumen, the aorta often dilates over time, which can – after certain diameter thresholds are reached – increase the risk of fatal aortic rupture. The identification of patients with a high risk of late adverse events is an ongoing clinical challenge, further complicated by the complex dissection anatomy and the wide variety among patients. Moreover, patient-specific risk stratification depends not only on morphological, but also on hemodynamic factors, which can be derived from computer simulations or 4D flow magnetic resonance imaging (MRI). However, comprehensible visualizations that depict the complex anatomical and functional information in a single view are yet to be developed. These visualization tools will assist clinical research and decision-making by facilitating a comprehensive understanding of the aortic state. For that purpose, we identified several visualization tasks and requirements in close collaboration with cardiovascular imaging scientists and radiologists. We displayed true and false lumen hemodynamics using pathlines as well as surface hemodynamics on the dissection flap and the inner vessel wall. Pathlines indicate antegrade and retrograde flow, blood flow through fenestrations, and branch vessel supply. Dissection-specific hemodynamic measures, such as interluminal pressure difference and flap compliance, provide further insight of the blood flow throughout the cardiac cycle. Finally, we evaluated our visualization techniques with cardiothoracic and vascular surgeons in two separate virtual sessions.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Aortic dissection is a life-threatening cardiovascular disease constituted by the delamination of the aortic wall. Due to the weakened structure of the false lumen, the aorta often dilates over time, which can – after certain diameter thresholds are reached – increase the risk of fatal aortic rupture. The identification of patients with a high risk of late adverse events is an ongoing clinical challenge, further complicated by the complex dissection anatomy and the wide variety among patients. Moreover, patient-specific risk stratification depends not only on morphological, but also on hemodynamic factors, which can be derived from computer simulations or 4D flow magnetic resonance imaging (MRI). However, comprehensible visualizations that depict the complex anatomical and functional information in a single view are yet to be developed. These visualization tools will assist clinical research and decision-making by facilitating a comprehensive understanding of the aortic state. For that purpose, we identified several visualization tasks and requirements in close collaboration with cardiovascular imaging scientists and radiologists. We displayed true and false lumen hemodynamics using pathlines as well as surface hemodynamics on the dissection flap and the inner vessel wall. Pathlines indicate antegrade and retrograde flow, blood flow through fenestrations, and branch vessel supply. Dissection-specific hemodynamic measures, such as interluminal pressure difference and flap compliance, provide further insight of the blood flow throughout the cardiac cycle. Finally, we evaluated our visualization techniques with cardiothoracic and vascular surgeons in two separate virtual sessions. |
 | Pepe Eulzer, Monique Meuschke, Gabriel Mistelbauer, Kai Lawonn Vessel Maps: A Survey of Map‐Like Visualizations of the Cardiovascular System Journal Article Computer Graphics Forum, 41 (3), pp. 645-673, 2022. BibTeX | Links: @article{Eulzer2022_CGF, title = {Vessel Maps: A Survey of Map‐Like Visualizations of the Cardiovascular System}, author = {Pepe Eulzer and Monique Meuschke and Gabriel Mistelbauer and Kai Lawonn}, url = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.14576}, year = {2022}, date = {2022-01-01}, urldate = {2022-01-01}, journal = {Computer Graphics Forum}, volume = {41}, number = {3}, pages = {645-673}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Gabriel Mistelbauer, Christian Rössl, Kathrin Bäumler, Bernhard Preim, Dominik Fleischmann Implicit Modeling of Patient-Specific Aortic Dissections with Elliptic Fourier Descriptors Journal Article Computer Graphics Forum, 40 (3), 2021. BibTeX | Links: @article{mistelbauer_2021_eurovis, title = {Implicit Modeling of Patient-Specific Aortic Dissections with Elliptic Fourier Descriptors}, author = {Gabriel Mistelbauer and Christian Rössl and Kathrin Bäumler and Bernhard Preim and Dominik Fleischmann}, url = {https://diglib.eg.org/bitstream/handle/10.1111/cgf14318/v40i3pp423-434.pdf, PDF Download}, year = {2021}, date = {2021-01-01}, journal = {Computer Graphics Forum}, volume = {40}, number = {3}, keywords = {}, pubstate = {published}, tppubtype = {article} } | |
Kai Ostendorf, Domenico Mastrodicasa, Kathrin Bäumler, Marina Codari, Valery Turner, Martin J Willemink, Dominik Fleischmann, Bernhard Preim, Gabriel Mistelbauer Shading Style Assessment for Vessel Wall and Lumen Visualization Inproceedings Oeltze-Jafra, Steffen; Smit, Noeska N; Sommer, Björn; Nieselt, Kay; Schultz, Thomas (Ed.): Eurographics Workshop on Visual Computing for Biology and Medicine, The Eurographics Association, 2021, ISSN: 2070-5786. BibTeX | Links: @inproceedings{10.2312:vcbm.20211350, title = {Shading Style Assessment for Vessel Wall and Lumen Visualization}, author = {Kai Ostendorf and Domenico Mastrodicasa and Kathrin Bäumler and Marina Codari and Valery Turner and Martin J Willemink and Dominik Fleischmann and Bernhard Preim and Gabriel Mistelbauer}, editor = {Steffen Oeltze-Jafra and Noeska N Smit and Björn Sommer and Kay Nieselt and Thomas Schultz}, url = {https://diglib.eg.org/bitstream/handle/10.2312/vcbm20211350/107-111.pdf}, doi = {10.2312/vcbm.20211350}, issn = {2070-5786}, year = {2021}, date = {2021-01-01}, booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine}, publisher = {The Eurographics Association}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } | |
Shyamalakshim Haridasan, Bernhard Preim, Christian Nasal, Gabriel Mistelbauer Visualizing the placental energy state in vivo Inproceedings Proc. of Bildverarbeitung für die Medizin (BVM), pp. 268–273, 2020. @inproceedings{Haridasan_2020_BVM, title = {Visualizing the placental energy state in vivo}, author = {Shyamalakshim Haridasan and Bernhard Preim and Christian Nasal and Gabriel Mistelbauer}, year = {2020}, date = {2020-01-01}, booktitle = {Proc. of Bildverarbeitung für die Medizin (BVM)}, pages = {268--273}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } | |
Julian Hettig, Sandy Engelhardt, Christian Hansen, Gabriel Mistelbauer AR in VR: assessing surgical augmented reality visualizations in a steerable virtual reality environment Journal Article International Journal of Computer Assisted Radiology and Surgery, 13 (11), pp. 1717–1725, 2018. BibTeX | Links: @article{Hettig_2018_IJCARS, title = {AR in VR: assessing surgical augmented reality visualizations in a steerable virtual reality environment}, author = {Julian Hettig and Sandy Engelhardt and Christian Hansen and Gabriel Mistelbauer}, doi = {10.1007/s11548-018-1825-4}, year = {2018}, date = {2018-07-01}, journal = {International Journal of Computer Assisted Radiology and Surgery}, volume = {13}, number = {11}, pages = {1717--1725}, publisher = {Springer Nature America, Inc}, keywords = {}, pubstate = {published}, tppubtype = {article} } | |
Aleksandr Amirkhanov, Artem Amirkhanov, Matthias Bernhard, Zsolt Toth, Sabine Stiller, Andreas Geier, Eduard Gröller, Gabriel Mistelbauer WithTeeth: Denture Preview in Augmented Reality Inproceedings Beck, Fabian; Dachsbacher, Carsten; Sadlo, Filip (Ed.): Vision, Modeling and Visualization, pp. 29-338, The Eurographics Association, 2018, ISBN: 978-3-03868-072-7. BibTeX | Links: @inproceedings{v.20181250, title = {WithTeeth: Denture Preview in Augmented Reality}, author = {Aleksandr Amirkhanov and Artem Amirkhanov and Matthias Bernhard and Zsolt Toth and Sabine Stiller and Andreas Geier and Eduard Gröller and Gabriel Mistelbauer}, editor = {Fabian Beck and Carsten Dachsbacher and Filip Sadlo}, url = {https://www.vismd.de/wp-content/uploads/legacy/v.20181250.pdf, PDF Download}, doi = {10.2312/vmv.20181250}, isbn = {978-3-03868-072-7}, year = {2018}, date = {2018-01-01}, booktitle = {Vision, Modeling and Visualization}, pages = {29-338}, publisher = {The Eurographics Association}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } | |
 | Gabriel Mistelbauer, Martin Zettwitz, Rüdiger Schernthaner, Dominik Fleischmann, Christian Teutsch, Bernhard Preim Visual Assessment of Vascular Torsion using Ellipse Fitting Inproceedings Puig, Anna Puig; Schultz, Thomas; Vilanova, Anna; Hotz, Ingrid; Kozlikova, Barbora; Vázquez, Pere-Pau (Ed.): Eurographics Workshop on Visual Computing for Biology and Medicine, The Eurographics Association, 2018, ISSN: 2070-5786. BibTeX | Links: @inproceedings{Mistelbauer_2018_VCBM, title = {Visual Assessment of Vascular Torsion using Ellipse Fitting}, author = {Gabriel Mistelbauer and Martin Zettwitz and Rüdiger Schernthaner and Dominik Fleischmann and Christian Teutsch and Bernhard Preim}, editor = {Anna Puig Puig and Thomas Schultz and Anna Vilanova and Ingrid Hotz and Barbora Kozlikova and Pere-Pau Vázquez}, url = {https://www.vismd.de/wp-content/uploads/legacy/mistelbauer_2018_vcbm.pdf, PDF Download}, doi = {10.2312/vcbm.20181238}, issn = {2070-5786}, year = {2018}, date = {2018-01-01}, booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine}, publisher = {The Eurographics Association}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Johanna Schmidt, Dominik Fleischmann, Bernhard Preim, N Brandle, Gabriel Mistelbauer Popup-Plots: Warping Temporal Data Visualization Journal Article IEEE Transactions on Visualization and Computer Graphics, pp. 1–1, 2018, ISSN: 1077-2626. BibTeX | Links: @article{Schmidt_2018_TVCG, title = {Popup-Plots: Warping Temporal Data Visualization}, author = {Johanna Schmidt and Dominik Fleischmann and Bernhard Preim and N Brandle and Gabriel Mistelbauer}, doi = {10.1109/TVCG.2018.2841385}, issn = {1077-2626}, year = {2018}, date = {2018-01-01}, journal = {IEEE Transactions on Visualization and Computer Graphics}, pages = {1--1}, keywords = {}, pubstate = {published}, tppubtype = {article} } | |
 | Julian Kreiser, Monique Meuschke, Gabriel Mistelbauer, Bernhard Preim, Timo Ropinski A Survey of Flattening Based Medical Visualization Techniques Journal Article Computer Graphics Forum, 37 (3) , pp. 597–624, 2018. BibTeX | Links: @article{Kreiser_2018_CGF, title = {A Survey of Flattening Based Medical Visualization Techniques}, author = {Julian Kreiser and Monique Meuschke and Gabriel Mistelbauer and Bernhard Preim and Timo Ropinski}, url = {https://www.researchgate.net/publication/326312089_A_Survey_of_Flattening-Based_Medical_Visualization_Techniques#fullTextFileContent}, year = {2018}, date = {2018-01-01}, journal = {Computer Graphics Forum}, volume = {37 (3)}, pages = {597--624}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Kai Nie, Gabriel Mistelbauer, Bernhard Preim Classification of Lobular and Ductal Breast Carcinomas by Texture Analysis in DCE-MRI Data Inproceedings Bildverarbeitung für die Medizin (BVM), pp. 67–72, Springer Verlag, Erlangen, 2018. @inproceedings{Nie_2018_BVM, title = {Classification of Lobular and Ductal Breast Carcinomas by Texture Analysis in DCE-MRI Data}, author = {Kai Nie and Gabriel Mistelbauer and Bernhard Preim}, year = {2018}, date = {2018-00-01}, booktitle = {Bildverarbeitung für die Medizin (BVM)}, pages = {67--72}, publisher = {Springer Verlag}, address = {Erlangen}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } | |
 | Julian Hettig, Gabriel Mistelbauer, Christian Rieder, Kai Lawonn, Christian Hansen Visual Navigation Support for Liver Applicator Placement using Interactive Map Displays Inproceedings Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), pp. 93–102, Bremen, 2017. BibTeX | Links: @inproceedings{Hettig_2017_VCBM, title = {Visual Navigation Support for Liver Applicator Placement using Interactive Map Displays }, author = {Julian Hettig and Gabriel Mistelbauer and Christian Rieder and Kai Lawonn and Christian Hansen}, url = {https://www.vismd.de/wp-content/uploads/legacy/hettig_2017_vcbm.pdf, PDF Download}, year = {2017}, date = {2017-09-01}, booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)}, pages = {93--102}, address = {Bremen}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
 | Hannes Martinke, Christian Petry, Stefan Großkopf, Michael Suehling, Grzegorz Soza, Bernhard Preim, Gabriel Mistelbauer Bone Fracture and Lesion Assessment using Shape-Adaptive Unfolding Inproceedings Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), pp. 149–158, Bremen, 2017. BibTeX | Links: @inproceedings{Martinke_2017_VCBM, title = {Bone Fracture and Lesion Assessment using Shape-Adaptive Unfolding}, author = {Hannes Martinke and Christian Petry and Stefan Großkopf and Michael Suehling and Grzegorz Soza and Bernhard Preim and Gabriel Mistelbauer}, url = {https://www.vismd.de/wp-content/uploads/legacy/martinke_2017_vcbm.pdf, PDF Download}, year = {2017}, date = {2017-09-01}, booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)}, pages = {149--158}, address = {Bremen}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
 | Gabriel Mistelbauer, Daniel Stucht, Yan Arnold, Oliver Speck, Bernhard Preim Dental Splint Fabrication for Prospective Motion Correction in Ultrahigh-Field MR Imaging Inproceedings Bildverarbeitung für die Medizin (BVM), pp. 197–202, Springer Verlag, Heidelberg, 2017. BibTeX | Links: @inproceedings{Mistelbauer_2017_BVM, title = {Dental Splint Fabrication for Prospective Motion Correction in Ultrahigh-Field MR Imaging}, author = {Gabriel Mistelbauer and Daniel Stucht and Yan Arnold and Oliver Speck and Bernhard Preim}, url = {https://www.vismd.de/wp-content/uploads/legacy/mistelbauer_2017_bvm.pdf, PDF Download}, year = {2017}, date = {2017-00-01}, booktitle = {Bildverarbeitung für die Medizin (BVM)}, pages = {197--202}, publisher = {Springer Verlag}, address = {Heidelberg}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
 | Kai Nie, Sylvia Glaßer, Uli Niemann, Gabriel Mistelbauer, Bernhard Preim Classification of DCE-MRI Data for Breast Cancer Diagnosis Combining Contrast Agent Dynamics and Texture Features Inproceedings Bildverarbeitung für die Medizin (BVM), pp. 325–330, Springer Verlag, Heidelberg, 2017. BibTeX | Links: @inproceedings{Nie_2017_BVM, title = {Classification of DCE-MRI Data for Breast Cancer Diagnosis Combining Contrast Agent Dynamics and Texture Features}, author = {Kai Nie and Sylvia Glaßer and Uli Niemann and Gabriel Mistelbauer and Bernhard Preim}, url = {https://www.vismd.de/wp-content/uploads/legacy/nie_2017_bvm.pdf, PDF Download}, year = {2017}, date = {2017-00-01}, booktitle = {Bildverarbeitung für die Medizin (BVM)}, pages = {325--330}, publisher = {Springer Verlag}, address = {Heidelberg}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Gabriel Mistelbauer, Johanna Schmidt, Anna-Margaretha Sailer, Kathrin Bäumler, Shannon Walters, Dominik Fleischmann Aortic Dissection Maps: Comprehensive Visualization of Aortic Dissections for Risk Assessment Inproceedings Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), pp. 143–152, Bergen, Norwegen, 2016. @inproceedings{Mistelbauer_2016_VCBM, title = {Aortic Dissection Maps: Comprehensive Visualization of Aortic Dissections for Risk Assessment }, author = {Gabriel Mistelbauer and Johanna Schmidt and Anna-Margaretha Sailer and Kathrin Bäumler and Shannon Walters and Dominik Fleischmann}, year = {2016}, date = {2016-09-01}, booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)}, pages = {143--152}, address = {Bergen, Norwegen}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |