Sylvia Saalfeld (née Glaßer)
Full Professor - AI in medical applicatoins at University Hospital Kiel
Embedded Files
My research interests cover medical image analysis touching imaging, reconstruction, registration, segmentation and visualization. A major application area is the analysis of cerebrovascular pathologies like intravascular aneurysmsm or arteriovenous malformations. Computer support allows for extraction of so much more information, guiding the doctors in diagnosis and therapy. For these pathologies, 3D models and blood flow simulations are conducted. Mesh extraction and analysis including sophisticated blood flow evaluation are part of my work as well. Especially deep learning for point clouds and surfaces are thrilling. I do also tackle more general research questions, i.e. processing and co-registration of multim-modal datasets to better characterize a certain disease or oncologic effect, segmentation of organs, tumors and metastases as well as interactive visual analysis and immersive virtual reality applications. My aim is to transfer research into the clinical practice.
Our work "Visual exploration of intracranial aneurysm blood flow adapted to the clinical researcher" by Benjamin Behrendt, Wito Engelke, Philipp Berg, Oliver Beuing, Ingrid Hotz, Bernhard Preim and Sylvi Saalfeld was awarded with the 1st place at the Dirk Bartz Competition / the Eurographics Medical Prize at this year's EuroVis Conference! The contribution describes an explorative system for the visualization of intracranial blood flow in aneurysms and was a joint project between my group at Forschungscampus STIMULATE, the University Hospital Magdeburg and the Linköping University in Sweden. You can see Ben's talk here.
Journal articles & peer-reviewed conference paper
Virtual Reality vs Phantom Model: Benefits and Drawbacks of
Simulation Training in Neurosurgery. Amir Amini, MD *, Mareen Allgaier, MSc ‡, Sylvia Saalfeld, PhD ‡§
, Klaus-Peter Stein, MD *, Ali Rashidi, MD *, Vanessa M. Swiatek, MD *, I. Erol Sandalcioglu, MD *, Belal Neyazi, MD
(-J)
Transformers for Colorectal Cancer Segmentation in CT Imaging
International Journal of Computer Assisted Radiology and Surgery
(accepted for publication at IJCARS)
(-J)
M Albadry, J Küttner, J Grzegorzewski, O Dirsch, E Kindler, R Klopfleisch, ...
Frontiers in Pharmacology 15, 1404938
(-J)
Assessment of intracranial aneurysm neck deformation after contour deployment
L Spitz, J Korte, F Gaidzik, N Larsen, B Preim, S Saalfeld
International Journal of Computer Assisted Radiology and Surgery, 1-7
(-J)
J Stahl, LS McGuire, M Rizko, S Saalfeld, P Berg, A Alaraj
Journal of Neurosurgery 1 (aop), 1-10
(86-J)
M Thormann, J Stahl, L Marsh, S Saalfeld, N Sillis, A Ding, A Mpotsaris, ... Fluids 9 (3), 55
(85-J)
F Saad, R Frysch, S Saalfeld, S Kellnberger, J Schulz, R Fahrig, K Bhadra, ...
Computers in Biology and Medicine, 108199
(84-J)
Advanced Deep Learning for Skin Histoglyphics at Cellular Level
R Kreher, NR Chitti, G Hille, J Hürtgen, M Mengonie, A Braun, T Tüting, ...
BVM Workshop, 66-71
(64-C)
VM Swiatek, A Amini, CE Sandalcioglu Ortuño, L Spitz, K Hartmann, ...
Neurosurgical Review 47 (1), 76
(83-J)
CT-defined sarcopenia predicts treatment response in primary central nervous system lymphomas
A Surov, HJ Meyer, M Hinnerichs, V Ferraro, V Zeremski, D Mougiakakos, ...
European radiology 34 (2), 790-796
(82-J)
J Korte, LMM Marsh, S Saalfeld, D Behme, A Aliseda, P Berg
Journal of Clinical Medicine 13 (2), 551
(81-J)
Image-based hemodynamic simulations for intracranial aneurysms: the impact of complex vasculature
F Gaidzik, J Korte, S Saalfeld, G Janiga, P Berg
International Journal of Computer Assisted Radiology and Surgery, 1-11 (link to private copy)
(80-J)
M Allgaier, L Spitz, D Behme, A Mpotsaris, P Berg, B Preim, S Saalfeld
International Journal of Computer Assisted Radiology and Surgery 18 (11 … (link to private copy)
(79-J)
Livrsono-virtual reality training with haptics for intraoperative ultrasound
M Allgaier, F Huettl, LI Hanke, H Lang, T Huber, B Preim, S Saalfeld, ...
2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR (link to private copy)
(78-J)
Assessment of the flow-diverter efficacy for intracranial aneurysm treatment considering pre-and post-interventional hemodynamics J Stahl, LMM Marsh, M Thormann, A Ding, S Saalfeld, D Behme, P Berg
Computers in Biology and Medicine 156, 106720
(77-J)
Korte, J., Voß, S., Janiga, G., Beuing, O., Behme, D., Saalfeld, S., & Berg, P. (2023). Is Accurate Lumen Segmentation More Important than Outlet Boundary Condition in Image-Based Blood Flow Simulations for Intracranial Aneurysms?. Cardiovascular Engineering and Technology, 14(5), 617-630. (link to private copy)
(76-J)
Stahl, J., Kassem, L., Behme, D., Klebingat, S., Saalfeld, S., and Berg, P. “Fabrication of flexible intracranial aneurysm models using stereolithography 3D printing.” In: Current Directions in Biomedical Engineering. Vol. 9. 1. De Gruyter. 2023, pp. 395–398 (link to private copy)
(75-J)
Saalfeld, S., Kreher, R., Hille, G., Niemann, U., Hinnerichs, M., Öcal, O., ... & Surov, A. (2023). Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients. Journal of cachexia, sarcopenia and muscle, 14(5), 2301-2309. (link to private copy)
(74-J)
Allgaier, M., Spitz, L., Behme, D., Mpotsaris, A., Berg, P., Preim, B., & Saalfeld, S. (2023). Design of a virtual data shelf to effectively explore a large database of 3D medical surface models in VR. International Journal of Computer Assisted Radiology and Surgery, 1-10. (link to private copy)
(74-J)
Fok, W. Y. R., Fieselmann, A., Herbst, M., Eckert, D., Beister, M., Kappler, S., & Saalfeld, S. (2023, April). Learning Patient Rotation Using Synthetic X-ray Images from 3D CT Volumes. In Medical Imaging with Deep Learning, short paper track.
(63-C)
Hille, G., Agrawal, S., Tummala, P., Wybranski, C., Pech, M., Surov, A., and Saalfeld, S. “Joint liver and hepatic lesion segmentation in MRI using a hybrid CNN with transformer layers.” In: Computer Methods and Programs in Biomedicine (2023), p. 107647 (link to private copy)
(74-J)
Thormann, M., Hinnerichs, M., Ordonez, F. B., Saalfeld, S., Perrakis, A., Croner, R., Omari, J., Pech, M., Zamsheva, M., Meyer, H.-J., Wienke, A., and Surov, A. “Sarcopenia is an Independent Prognostic Factor in Patients With Pancreatic Cancer–a Meta-analysis.” In: Academic Radiology 30.8 (2023), pp. 1552–1561 (link to private copy)
(73-J)
Fok, W. Y. R., Fieselmann, A., Herbst, M., Ritschl, L., Kappler, S., & Saalfeld, S. (2023). Deep learning in computed tomography super resolution using multi‐modality data training. Medical Physics. (link to private copy)
(72-J)
Surov, A., Meyer, H. J., Hinnerichs, M., Ferraro, V., Zeremski, V., Mougiakakos, D., Saalfeld, S., Wienke, A., Strobel, A., Wolleschak, D. (2023). CT-defined sarcopenia predicts treatment response in primary central nervous system lymphomas. European Radiology, 1-7. DOIhttps://doi.org/10.1007/s00330-023-09712-y
(71-J)
Geometric Deep Learning Vascular Domain Segmentation, Robert Kreher, Annika Niemann, Libin Kutty, Viju Sudhi, Bernhard Preim, Daniel Behme, Sylvia Saalfeld , Proc. of Bildverarbeitung für die Medizin (BVM), 2023
(62-C)
Automatic Lung Nodule Segmentation in CT Imaging Using an Improved 3D-Res2Unet, Pavan Tummala, Georg Hille, Sylvia Saalfeld, Proc. of Bildverarbeitung für die Medizin (BVM), 2023
(61-C)
Cross-Modality Training Approach for CT Super-Resolution Network, Wai Yan Ryana Fok, Andreas Fieselmann, Magdalena Herbst, Ludwig Ritschl, Marcel Beister, Steffen Kappler, Sylvia Saalfeld, Proc. of Bildverarbeitung für die Medizin (BVM), 2023
(60-C)
Hertel, M., Makvandi, R., Kappler, S., Nanke, R., Bildhauer, P., Saalfeld, S., Radicke, M., Juhre, D., & Rose, G. (2023). Towards a biomechanical breast model to simulate and investigate breast compression and its effects in mammography and tomosynthesis. Physics in Medicine and Biology.
(70-J)
Multimodal exploration of the intracranial aneurysm wall,Annika Niemann, Riikka Tulamo, Eliisa Netti, Bernhard Preim, Philipp Berg, Juan Cebral, Anne Robertson, Sylvia Saalfeld; accepted at IJCARS, 2023 (link to private copy)
(69-J)
Assessment of the Flow-Diverter Efficacy for Intracranial Aneurysm Treatment Considering Pre- and Post-Interventional Hemodynamics, Janneck Stahl Laurel Morgan Miller Marsh; Maximilian Thormann; Andreas Ding; Sylvia Saalfeld; Daniel Behme; Philipp Berg; accepted at Computers in Biology and Medicine, 2023 (link to private copy)
(68-J)
A hybrid hierarchical strategy for registration of 7T TOF-MRI to 7T PC-MRI intracranial vessel data, Lena Spitz1,2*, Franziska Gaidzik2,3, Daniel Stucht4, Hendrik Mattern4, Bernhard Preim1,2 and Sylvia Saalfeld1,2, accepted for publication at Int J CARS (2023) (link to private copy)
(67-J)
Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management, Niemann, A., Behme, D., Larsen, N., Preim, B., Saalfeld, S., Int J CARS (2023). https://doi.org/10.1007/s11548-022-02818-6, 2023 (link to private copy)
(66-J)
Saad, F., Frysch, R., Pfeiffer, T., Saalfeld, S., Schulz, J., Georgi, J. C., Nürnberger, Andreas and Lauritsch, Guenter and Rose, Georg (2022, October). Iterative intraoperative digital tomosynthesis image reconstruction using a prior as initial image. In 7th International Conference on Image Formation in X-Ray Computed Tomography (Vol. 12304, pp. 669-674). SPIE. (link to private copy)
(59-C)
Maximilian Thormann, Mattes Hinnerichs, Felix Barajas Ordonez, Sylvia Saalfeld, Aristoteles Perrakis, Roland Croner, Jazan Omari, Maciej Pech, Marina Zamsheva, Hans-Jonas Meyer, Andreas Wienke, Alexey Surov, Sarcopenia is an Independent Prognostic Factor in Patients With Pancreatic Cancer – a Meta-analysis, Academic Radiology, 2022, https://doi.org/10.1016/j.acra.2022.10.025.(link to private copy)
(65-J)
Geometric uncertainty in intracranial aneurysm rupture status discrimination: a two-site retrospective study, Florian Hellmeier, Jan Brüning, Philipp Berg, Sylvia Saalfeld, Andreas Spuler, I. Erol Sandalcioglu, Oliver Beuing, Naomi Larsen, Jens Schaller, Leonid Goubergrits: BMJ Open vol. 12 no. 11, e063051, doi: 10.1136/bmjopen-2022-063051 , 2022 (link to private copy)
(64-J)
Prognostic Impact of Quality and Distribution of Adipose Tissue in Patients With Primary Central Nervous System Lymphoma, Mattes Hinnerichs, Vincenzo Ferraro, Vanja Zeremski, Dimitrios Mougiakakos, Jazan Omari, Maciej Pech, Caroline Bär, Andreas Wienke, Sylvia Saalfeld, Alexandra Strobel, Alexey Surov, Hans Jonas Meyer, Denise Wolleschak:, International Journal of Experimental and Clinical Pathophysiology and Drug Research - In Vivo; vol. 36, no. 6, pp.2828 - 2834, 2022 (link to private copy)
(63-J)
Spitz, Lena, Allgaier, Mareen, Mpotsaris, Anastasios, Behme, Daniel, Preim, Bernhard and Saalfeld, Sylvia. "Segmentation of Circle of Willis from 7T TOF-MRI data and immersive exploration using VR" Current Directions in Biomedical Engineering, vol. 8, no. 1, 2022, pp. 129-132. https://doi.org/10.1515/cdbme-2022-0033 (link to private copy)
(62-J)
"Impact of patient-specific inflow boundary conditions on intracranial aneurysm hemodynamics", Stahl, Janneck, Bernovskis, Anna, Behme, Daniel, Saalfeld, Sylvia and Berg, Philipp. Current Directions in Biomedical Engineering, vol. 8, no. 1, 2022, pp. 125-128. https://doi.org/10.1515/cdbme-2022-0032 (link to private copy)
(61-J)
"Centerline and blockstructure for fast structured mesh generation", Niemann, Annika, Janiga, Gabor, Preim, Bernhard, Behme, Daniel and Saalfeld, Sylvia. Current Directions in Biomedical Engineering, vol. 8, no. 1, 2022, pp. 13-16. https://doi.org/10.1515/cdbme-2022-0004 (link to private copy)
(60-J)
"Immersive VR training system for clipping intracranial aneurysms", Allgaier, Mareen, Neyazi, Belal, Erol Sandalcioglu, I., Preim, Bernhard and Saalfeld, Sylvia. Current Directions in Biomedical Engineering, vol. 8, no. 1, 2022, pp. 9-12. https://doi.org/10.1515/cdbme-2022-0003 (link to private copy)
(59-J)
Overcoming Barriers in Neurosurgical Education: A Novel Approach to Practical Ventriculostomy Simulation, Amini, A., Zeller, Y., Stein, K. P., Hartmann, K., Wartmann, T., Wex, C., Mirzaee, E. and Swiatek, V. M. , Saalfeld, S., Haghikia, A., Dumitru, C. A., Sandalcioglu, I.E., Neyazi, B. (2022). Overcoming Barriers in Neurosurgical Education: A Novel Approach to Practical Ventriculostomy Simulation. Operative Neurosurgery, 23(3): 225-234; 2022 (link to private copy)
(58-J)
VR-based training of craniotomy for intracranial aneurysm surgery, Allgaier, Mareen; Neyazi, Belal; Sandalciogli, I. Erol;Preim, Bernhard; Saalfeld, Sylvia, Int J Comput Assist Radiol Surg. 2022;17(3):449-456. doi: 10.1007/s11548-021-02538-3 (link to private copy)
(57-J)
Multimodal hemodynamic evaluation of vessel wall enhanced cerebral draining veins for the assessment of arteriovenous malformations, Janneck Stahl, Sylvia Saalfeld, Laura Stone McGuire, Denise Brunozzi, Ali Alaraj, David Hasan, Philipp Berg, Proc. of Conference on Modelling Fluid Flow (CMFF), 2022 (link to private copy)
(58-C)
Predicting Aneurysm Rupture with Deep Learning on 3D Models. Niemann, A., Preim, B., Beuing, O., and Saalfeld, S. In: Proc. of Bildverarbeitung fur die Medizin (BVM). 2022, pp. 315--320
(57-C)
Multimodal patient-specific modeling of intracranial arteriovenous malformation hemodynamics including feeding artery and draining vein exploration, Janneck Stahl, Sylvia Saalfeld, Ali Alaraj, Oliver Beuing, Naoki Kaneko, Daniel Behme, and Philipp Berg, Prof. of Conf. on Computational and Mathematical Biomedical Engineering (CMBE) 2022 (link to private copy)
(56-C)
Deep-learning-based Segmentation of Skeletal Muscle Mass in Routine Abdominal CT Scans. Robert Kreher; Mattes Hinnerichs, Bernhard Preim; Sylvia Saalfeld and Alexey Surov, International Journal of Experimental and Clinical Pathophysiology and Drug Research - In Vivo 36(4):1807-1811, 2022 (link to private copy)
(56-J)
A comparison of input devices for precise interaction tasks in VR-based surgical planning and training. Mareen Allgaier; Vuthea Chheang; Patrick Saalfeld; Vikram Apilla; Tobias Huber; Florentine Huettl; Belal Neyazi; I. Erol Sandalcioglu; Christian Hansen; Bernhard Preim; Sylvia Saalfeld (2022). Computers in Biology and Medicine, 105429.
(55-J)
Self-calibration of C-arm imaging system using interventional instruments during an intracranial biplane angiography, Negar Chabi, Domenico Iuso, Oliver Beuing, Bernhard Preim, Sylvia Saalfeld, International Journal of Computer Assisted Radiology and Surgery IJCARS 17(7):1355-1366, 2022. https://doi.org/10.1007/s11548-022-02580-9
(54-J)
Can Endovascular Treatment of Fusiform Intracranial Aneurysms Restore the Healthy Hemodynamic Environment? - A Virtual Pilot Study, Sylvia Saalfeld, Janneck Stahl, Jana Korte, Laurel M. Miller Marsh, Bernhard Preim, Oliver Beuing, Yurii Cherednychenko, Daniel Behme, Philipp Berg, accepted at Frontiers in Neurology, 2021 (link to private copy)
(53-J)
Image-based Blood Flow Analysis of Popliteal Artery Aneurysms – an Interdisciplinary Pilot Study, Saalfeld, Sylvia, Mirzaie, Masoud, Fatehpur, Sheila, Korte, Jana and Berg, Philipp. Current Directions in Biomedical Engineering, vol. 7, no. 2, 2021, pp. 891-894. https://doi.org/10.1515/cdbme-2021-2227
(52-J)
Hemodynamics of anterior communicating artery aneurysms using combined imaging of the anterior circulation Saalfeld, Sylvia, Behme, Daniel, Almizel, Mahmoud and Berg, Philipp. Current Directions in Biomedical Engineering, vol. 7, no. 2, 2021, pp. 887-890. https://doi.org/10.1515/cdbme-2021-2226
(51-J)
Virtual embolization for treatment support of intracranial AVMs using an interactive desktop and VR application. Ulrike Sprengel, Patrick Saalfeld, Janneck Stahl, Sarah Mittenentzwei, Moritz Drittel, Benjamin Behrendt, Naoki Kaneko, Daniel Behme, Philipp Berg, Bernhard Preim & Sylvia Saalfeld, International Journal of Computer Assisted Radiology and Surgery volume 16, pages 2119–2127 (2021) [link2]
(50-J)
An interactive tool for identifying patient subgroups based on arbitrary characteristics for medical research, Lena Spitz, Vanessa M. Swiatek, Belal Neyazi, I. Erol Sandalcioglu, Bernhard Preim, Sylvia Saalfeld, Current Directions in Biomedical Engineering 7(1):43-46, 2021 [bibtex]
(49-J)
Facial Feature Removal for Anonymization of Neurological Image Data, Fina Gießler (*), Max Thormann, Bernhard Preim, Daniel Behme, Sylvia Saalfeld, Current Directions in Biomedical Engineering 7(1):130-134, [bibtex]
(48-J)
A novel tool for monitoring and assessing the outcome of thermal ablations of hepatic lesions, Georg Hille, Felicitas Brokmann, Bennet Hensen, Julian Alpers, Frank Wacker, Sylvia Saalfeld, Current Directions in Biomedical Engineering 7(1):72-75, 2021 [bibtex]
(47-J)
MedMeshCNN - Enabling MeshCNN for Medical Surface Models, Lisa Schneider, Annika Niemann, Oliver Beuing, Bernhard Preim, Sylvia Saalfeld, accepted at Computer Methods and Programs in Biomedicine, 2021 (link to private copy)
(46J)
Tissue segmentation in histologic images of intracranial aneurysm wall, Annika Niemann, Anitha Talagini, Pavan Kandapagari, Bernhard Preim, and Sylvia Saalfeld, Interdisciplinary Neurosurgery, 26, 101307, 2021
(45J)
Definition and Extraction of 2D Shape Indices of Intracranial Aneurysm Necks for Rupture Risk Assessment. Sarah Mittenentzwei, Oliver Beuing, Belal Neyazi, I. Erol Sandalcioglu, Naomi Larsen, Bernhard Preim, Sylvia Saalfeld, International Journal of Computer Assisted Radiology and Surgery, 2021, doi: 10.1007/s11548-021-02469-z , 2021 [link2]
(44J)
VICTORIA: VIrtual neck Curve and True Ostium Reconstruction of Intracranial Aneurysms, Philipp Berg, Benjamin Behrendt, Samuel Voß, Oliver Beuing, Belal Neyazi, I. Erol Sandalcioglu, Bernhard Preim Sylvia Saalfeld, Cardiovascular Engineering and Technology, 12(4), 454-465, DOI 10.1007/s13239-021-00535-w
(43J)
Visual exploration of intracranial aneurysm blood flow adapted to the clinical researcher. Benjamin Behrendt, Wito Engelke, Philipp Berg, Oliver Beuing, Ingrid Hotz, Bernhard Preim, Sylvia Saalfeld. Inproceedings Eurographics 2021 - Dirk Bartz Prize, The Eurographics Association, 2021.
Prize
Distance and Force Visualisations for Improved Simulation of Intracranial Aneurysm Clipping. Mareen Allgaier, Belal Neyazi, Bernhard Preim, Sylvia Saalfeld, International Journal of Computer Assisted Radiology and Surgery, 2021, https://doi.org/10.1007/s11548-021-02413-1 [link2]
(42-J)
Aneurysm Wall Enhancement Is Associated with Decreased Intrasaccular IL-10 And Morphological Features of Instability. Vanessa M. Swiatek, Belal Neyazi, Jorge A. Roa, Mario Zanaty, Edgar A. Samaniego, Daizo Ishii, Yongjun Lu, I.Erol Sandalcioglu, Sylvia Saalfeld, Philipp Berg, David M. Hasan, Neurosurgery, 2021
(41-J)
Focal enhancement in intracranial aneurysms - effects of local hemodynamics on VW-MRI signals. F. Gaidzik, M.S. Pravdivtseva, J. Korte, N. Larsen, S. Saalfeld, G. Janiga, P. Berg, Proc. of Summer Biomechanics, Bioengineering and Biotransport Conference (SB³C), 2021
(55-C)
Complex wall modelling for hemodynamic simulations of intracranial aneurysms based on histological images. Annika Niemann, Samuel Voß, Riikka Tulamo, Simon Weigand, Bernhard Preim, Philipp Berg, Sylvia Saalfeld, Int J CARS 16, 597–607 (2021). https://doi.org/10.1007/s11548-021-02334-z
(40-J)
Interactive Visualization of Cerebral Blood Flow for Arteriovenous Malformation Embolisation. Ulrike Sprengel , Patrick Saalfeld , Sarah Mittenentzwei , Moritz Drittel , Belal Neyazi, Philipp Berg , Bernhard Preim , Sylvia Saalfeld, Proc. of Bildverarbeitung für die Medizin (BVM), 36-41, 2021. [bibtex]
(54-C)
Towards deep learning-based wall shear stressprediction for intracranial aneurysms. Annika Niemann, Lisa Schneider, Bernhard Preim, Samuel Voß, Philipp Berg, Sylvia Saalfeld, Proc. of Bildverarbeitung für die Medizin (BVM), 105-110, 2021 [bibtex]
(53-C)
A Machine Learning Approach Towards Fatty LiverDisease Detection In Liver Ultrasound Images Adarsh Kuzhipathalil, Anto Thomas, Keerthana Chand, Elmer Jeto Gomes Ataide, Alexander Link, Annika Niemann, Sylvia Saalfeld, Michael Friebe, Jens Ziegle, Proc. of Bildverarbeitung für die Medizin (BVM), p. 86-91, 2021 [bibtex]
(52-C)
Rupture risk assessment for multiple intracranial aneurysms: why there is no need for dozens of clinical, morphological and hemodynamic parameters. Belal Neyazi, Vanessa M. Swiatek, Martin Skalej, Oliver Beuing, Klaus-Peter Stein, Jörg Hattingen, Bernhard Preim, Philipp Berg, Sylvia Saalfeld§ and I. Erol Sandalcioglu§ Therapeutic Advances in Neurological Disorders , 2020, Vol. 13: 1–11 DOI:0.1177/ 1756286420966159 [link2]
§ Both authors contributed equally to this work
(39-J)
Multimodal Validation of Focal Enhancement in Intracranial Aneurysms as an Imaging Marker of a Higher Risk of Rupture. Larsen N, Saalfeld S, Flüh C, Voß S, Hille G, Pravdivtseva M, Berg P. Abstract 51 @ 55. Jahrestagung der Deutschen Gesellschaft für Neuroradiologie e.V. (link to private copy)
(Abstract)
The Virtual Reality Flow Lens for Blood Flow Exploration. Benjamin Behrendt, Lisa Piotrowski, Sylvia Saalfeld, Bernhard Preim and Patrick Saalfeld, Proc. of Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), 2020. [bibtex]
(51-C)
Hemodynamic data assimilation in a subject-specific Circle of Willis geometry. Franziska Gaidzik, Sahani Pathiraja, Sylvia Saalfeld, Daniel Stucht, Oliver Speck, Dominique Thévenin, Gábor Janiga, Clinical Neuroradiology, in print, 2020. https://doi.org/10.1007/s00062-020-00959-2
(38-J)
Multimodal validation of focal enhancement in intracranial aneurysms as a surrogate marker for aneurysm instability. Naomi Larsen, Charlotte Flüh, Sylvia Saalfeld, Samuel Voß, Georg Hille, David Trick, Fritz Wodarg, Michael Synowitz, Olav Jansen, Philipp Berg. Neuroradiology (2020). https://doi.org/10.1007/s00234-020-02498-6 (+link to private copy)
(37-J)
Wall enhancement segmentation for intracranial aneuryms Annika Niemann, Naomi Larsen, Bernhard Preim, Sylvia Saalfeld, 19. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V., in print, 2020. [bibtex]
(50-C)
Shrinkingtube mesh: Combined mesh generation and smoothing for pathologic vessels Annika Niemann, Bernhard Preim and Sylvia Saalfeld, 19. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V., in print, 2020. [bibtex]
(49-C)
Automatic stent and catheter marker detection in X-ray fluoroscopy using adaptive thresholding and classification Negar Chabi, Oliver Beuing, Bernhard Preim and Sylvia Saalfeld, 19. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V., in print, 2020. [bibtex]
(48-C)
MR vessel wall imaging in intracranial aneurysms – Low flow conditions are correlated with focal wall enhancement, Berg, P., Saalfeld, S., Pravdivtseva, M., Flüh, C., Larsen, N., International Journal Of Artificial Organs, 43(8), 506-555, 08/2020. (link to private copy)
(36-J)
Automated incisional hernia characterization by non-rigid registration of CT images – a pilot study, Samuel Voß, Philipp D. Lösel, Sylvia Saalfeld, Philipp Berg, Vincent Heuveline, Friedrich Kallinowski, Current Directions in Biomedical Engineering 6(3): 91-94, 2020. [bibtex]
(35-J)
Combining Visual Analytics and Case-Based Reasoning for Rupture Risk Assessment of Intracranial Aneurysms, Lena Spitz, Uli Niemann, Oliver Beuing, Belal Neyazi, Erol Sandalcioglu, Bernhard Preim and Sylvia Saalfeld, International Journal of Computer Assisted Radiology and Surgery, 15(9), p. 1525-1535, https://doi.org/10.1007/s11548-020-02217-9, 2020. [bibtex] (link to private copy)
(34-J)
Fokales Wand-Enhancement in intrakraniellen Aneurysmen ist assoziiert mit lokalen hämodynamischen low flow-Verhältnissen und Wandinflammation. Larsen, N., Flüh, C., Saalfeld, S., Voß, S., Hille, G., Jansen, O., & Berg, P. (2020, April). In RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (Vol. 192, No. S 01, pp. WISS-4). [bibtex] (link to private copy)
(47-C)
Response: Letter to the Editor. The missing piece to solve the equation, Philipp Berg, Sylvia Saalfeld, Samuel Voß, Oliver Beuing, Belal Neayzi, Leonid Goubergrits and Gábor Janiga, Journal of Neurosurgery, DOI: https://doi.org/10.3171/2019.9.FOCUS19573 (link to private copy)
VICTORIA - An interactive online tool for the VIrtual neck Curve and True Ostium Reconstruction of Intracranial Aneurysms, Benjamin Behrendt, Samuel Voss, Oliver Beuing, Bernhard Preim, Philipp Berg, Sylvia Saalfeld, Proc. of Bildverarbeitung für die Medizin (BVM), p. 209-214, 2020 [bibtex] (link to private copy)
(46-C)
Automatic Segmentation of Necrosis Zones after Radiofrequency Ablation of Spinal Metastases, Steffen Johannes, Georg Hille, Mathias Becker, Sylvia Saalfeld, Klaus Tönnies, P. 96 - 102, at Proc. of International Conference of Pattern Recognition Applications and Methods (ICPRAM), February 22-24, 2020, in Valletta, Malta, 2020. [bibtex] (link to private copy)
(45-C)
Interactive exploration of a 3D intracranial aneurysm wall model extracted from histologic slices. A. Niemann, S. Weigand, T. Hoffmann, M. Skalej, R. Tulamo, B. Preim and S. Saalfeld, International Journal of Computer Assisted Radiology and Surgery 15: 99–107, https://doi.org/ 10.1007/s11548-019-02083-0 , 2020. (link to private copy)
(33-J)
Flow-splitting-based computation of outlet boundary conditions for improved cerebrovascular simulation in multiple intracranial aneurysms, S. Saalfeld, S. Voß, O. Beuing, B. Preim, P. Berg. International Journal of Computer-Assisted Radiology and Surgery, 14(10):1805–1813, https://doi.org/10.1007/s11548-019-02036-7, 2019. (link to private copy)
(32-J)
Suitability of Intravascular Imaging for Assessment of Cerebrovascular Diseases. Simon Weigand*, Sylvia Saalfeld*, Thomas Hoffmann, Elisabeth Eppler, Thomas Kalinski, Katja Jachau and Martin Skalej. Journal of Neuroradiology 61(9):1093-1101, 2019. https://doi.org/10.1007/s00234-019-02233-w
(31-J)
Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)---phase II: rupture risk assessment. Berg, P.; Voß, S.; Janiga, G.; Saalfeld, S.; Bergersen, A. W.; Valen-Sendstad, K.; Bruening, J.; Goubergrits, L.; Spuler, A.; Chiu, T. L.; Tsang, A. C. O.; Copelli, G.; Csippa, B.; Pa{\'a}l, G.; Z{\'a}vodszky, G.; Detmer, F. J.; Chung, B. J.; Cebral, J. R.; Fujimura, S.; Takao, H.; Karmonik, C.; Elias, S.; Cancelliere, N. M.; Najafi, M.; Steinman, D. A.; Pereira, V. M.; Piskin, S.; Finol, E. A. and Pravdivtseva, M.; Velvaluri, P.; Rajabzadeh-Oghaz, H.; Paliwal, N.; Meng, H.; Seshadhri, S.; Venguru, S.; Shojima, M.; Sindeev, S.; Frolov, S.; Qian, Y.; Wu, Y.-A.; Carlson, K. D.; Kallmes, D. F.; Dragomir-Daescu, D.; Beuing, O., International Journal of Computer Assisted Radiology and Surgery, 14(10): 1795-1804, (2019), doi = 10.1007/s11548-019-01986-2, link to PDF
(30-J)
A review on the reliability of hemodynamic modeling in intracranial aneurysms: why computational fluid dynamics alone cannot solve the equation, P. Berg, S. Saalfeld, S. Voß, O. Beuing, G. Janiga, Neurosurgical FOCUS 47(1):E15, DOI: 10.3171/2019.4.FOCUS19181, 2019.
(29-J)
Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): uncertainty quantification of geometric rupture risk parameters. Leonid Goubergrits, Florian Hellmeier, Jan Brüning, Andreas Spuler, Hans-Christian Hege, Samuel Voß, Gabor Janiga, Sylvia Saalfeld, Oliver Beuing, Philipp Berg.BioMedical Engineering OnLine 18(1):35, 2019.DOI: 10.1186/s12938-019-0657-y https://rdcu.be/bsXPk (link to private copy)
(28-J)
A Two-Step Risk Assessment Method for Radiofrequency Ablations of Spine Metastases, Nico Merten; Simon Adler; Georg Hille; Magnus Hanses; Mathias Becker; Sylvia Saalfeld; Bernhard Preim, Computers in biology and medicine, 108, 174-181, 2019. (link to private copy)
(27-J)
Floor Map Visualizations of Medical Volume Data. Nico Merten, Sylvia Saalfeld, Bernhard Preim, Proc. of the Winter School of Computer Graphics (WSCG), 49-58, 2019 .
(44-C)
Comparison of Background Removal Approaches in X-ray Fluoroscopy for Detection of Cerebral Stent Markers. N. Chabi, O. Beuing, B. Preim, S. Saalfeld. Proc. of CURAC, pages 122-127, 2019.
(43-C)
Treatment outcome validation tool for radiofrequency ablations of spinal metastases. G. Hille, M. Becker, S. Saalfeld and K. Tönnies, Proc. of CURAC, pages 134-139, 2019.
(42-C)
VR Craniotomy for Optimal Intracranial Aneurysm Surgery Planning Belal Neyazi, Patrick Saalfeld, Philipp Berg, Martin Skalej, Bernhard Preim, Erol Sandalcioglu, Sylvia Saalfeld Proc. of CURAC, 234-239 , 2019
(41-C)
Maps Colors and SUVs for Standardized Clinical Reports, Nico Merten, Philipp Genseke, Bernhard Preim, Michael C. Kreissl, Sylvia Saalfeld, Proc. of CURAC, pages 292-297, 2019
(40-C)
Evolutionary Pathlines for Blood Flow Exploration in Cerebral Aneurysms. Benjamin Behrendt, Wito Engelke, Philipp Berg, Oliver Beuing, Bernhard Preim, Ingrid Hotz, Sylvia Saalfeld, Proc. of Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), 253-263, 2019 + Video;
(39-C)
Local flow analysis in unruptured middle cerebral artery aneurysms with vessel wall enhancement. Philipp Berg, Sylvia Saalfeld, Benjamin Behrendt, Samuel Voß, Georg Hille, and Naomi Larsen. Proc. of 6th International Conference on Computational and Mathematical Biomedical Engineering – CMBE2019, to appear, 2019.
(38-C)
Rupture Risk Assessment based on clinical, morphological and hemodynamic parameters in patients with multiple aneurysms. Vanessa M. Swiatek, Belal Neyazi, Sylvia Saalfeld, Philipp Berg, Oliver Beuing, Samuel Voß, Homajoun Maslehaty, Klaus- Peter Stein, Martin Skalej, I. Erol Sandalciolgu, In Proc. of Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), 2019.
(37-C)
Segmentation of Vertebral Metastases in MRI Using an U-Net like Convolutional Neural Network. Georg Hille, Max Dünnwald, Mathias Becker, Johannes Steffen, Sylvia Saalfeld, Klaus Tönnies. Bildverarbeitung für die Medizin (BVM), p. 31-36, 2019
(36-C)
Towards Automated Reporting and Visualization of Lymph Node Metastases of Lung Cancer, Nico Merten, Philipp Genseke, Bernhard Preim, Michael C. Kreissl, Sylvia Saalfeld. Bildverarbeitung für die Medizin (BVM), p. 185-190, 2019
(35-C)
Fluid-structure interaction in intracranial vessel walls: The role of patient-specific wall thickness. Samuel Voss, Sylvia Saalfeld, Thomas Hoffmann, Gábor Janiga, Oliver Beuing and Philipp Berg. Current Directions in Biomedical Engineering 4(1):587-590, 2018.
(26-J)
Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters. Sylvia Saalfeld, Philipp Berg, Annika Niemann, Maria Luz, Bernhard Preim, Oliver Beuing, International Journal of Computer Assisted Radiology and Surgery 13(11), 1781-1793, https://doi.org/10.1007/s11548-018-1848-x, 2018.
(25-J)
Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): Phase I: Segmentation Berg, P., Voß, S., Saalfeld, S., Janiga, G., Bergersen, A., Valen-Sendstad, K., Bruening, J., Goubergrits, L., Spuler, A., Cancelliere, N.M., Steinman, D.A., Pereira, V.M., Chiu, T.L., Tsang, A.C., Chung, B.J., Cebral, J.R., Cito, S., Pallarès, J., Copelli, G., Csippa, B., Paál, G., Fujimura, S., Takao, H., Hodis, S., Hille, G., Karmonik, C., Elias, S., Kellermann, K., Khan, M.O., Marsden, A.L., Morales, H.G., Piskin S., Finol, E.A., Pravdivtseva, M., Rajabzadeh-Oghaz, H., Paliwal N., Meng, H., Seshadhri, S., Howard, M., Shojima, M., Sugiyama, S., Niizuma, K., Sindeev, S., Frolov, S., Wagner, T., Brawanski, A., Qian, Y., Wu, Y., Carlson, K., Dragomir Daescu, D. and Beuing, O., Cardiovascular Engineering and Technology, DOI: 10.1007/s13239-018-00376-0, 08/2018.
(24-J)
Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge. Valen-Sendstad, K., Bergersen, A. W., Shimogonya, Y., Goubergrits, L., Bruening, J., Pallares, J., Vernet, A., Piskin, S., Pekkan, K., Geers, A. J., Larrabide, I., Rapaka, S., Mihalef, V., Fu, W., Qiao, A., Jain, K., Roller, S., Mardal, K. A., Kamakoti, R., Spirka, T., Ashton, N., Revell, A., Aristokleous, N., Houston, J. G., Ishida, F., Tsuji, M., Menon, P. G., Browne, L. D., Broderick, S., Shojima, M., Koizumi, S., Barbour, M., Aliseda, A., Morales, H. G., Lefevre, T., Hodis, S., Al-Smadi, Y., Tran, J. S., Marsden, A. L., Vaippummadhom, S., Srinivasan, A., Brown, A. G., Debus; K., Niizuma, K., Rashad, S., M. Owais Khan, M. O., Updegrove, A. R., Shadden, S. C., Cornelissen, B. M., Majoie, C., B., Berg, P., Saalfeld, S., Kono, K., Steinman, D. A., Cardiovascular Engineering and Technology (CVET), 2018, Volume 9, Issue 4, pp 544–564
(23-J)
Generation and Visual Exploration of Medical Flow Data: Survey, Research Trends and Future Challenges, Oeltze-Jafra, S and Meuschke, Monique and Neugebauer, Matthias and Saalfeld, Sylvia and Lawonn, Kai and Janiga, Gabor and Hege, H-C and Zachow, Stefan and Preim, Bernhard, Computer Graphics Forum 38(1): 87-125, 2018.
(22-J)
Virtual Stenting of Intracranial Aneurysms - A Pilot Study for the Prediction of Treatment Success Based on Hemodynamic Simulations, P Berg, S Saalfeld, O Brina, G Janiga, VM Pereira, International Journal of Artificial Organs, p0391398818775521, 2018.
(21-J)
Explorative Blood Flow Visualization using Dynamic Line Filtering based on Surface Features. Behrendt, B., Berg, P., Beuing, O., Preim, B., Saalfeld, S. Computer Graphics Forum, 37(3): 183-194, https://doi.org/10.1111/cgf.13411 , 2018.
(20-J)
Vertebral body segmentation in wide range clinical routine spine MRI data, GeorgHille, SylviaSaalfeld, Steffen Serowy, KlausTönnies, Computer Methods and Programs in Biomedicine, 155, 2018,93-99
(19-J)
18-J Multi-segmental spine image registration supporting image-guided interventions of spinal metastases. Georg Hille, Sylvia Saalfeld, Steffen Serowy, and Klaus Tönnies, Computers in biology and medicine, vol. 102, p. 16–20, 2018.
(18-J)
34-C Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters, Uli Niemann, Philipp Berg, Annika Niemann, Oliver Beuing, Bernhard Preim, Mira Spiliopoulou, Sylvia Saalfeld, Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), pp. 48-53, 2018
33-C 3DRA Reconstruction of Intracranial Aneurysms - How Does Voxel Size Influences Morphologic and Hemodynamic Parameters. Philipp Berg, Livia Radtke, Samuel Voß, Steffen Serowy, Gabor Janiga, Bernhard Preim, Oliver Beuing, Sylvia Saalfeld Proc. of EMBC (Engineering in Medicine and Biology Conference) 2018
32-C Impact of gradual vascular deformations on the intra-aneurysmal hemodynamics. Samuel Voß, Patrick Saalfeld, Sylvia Saalfeld, Oliver Beuing, Gabor Janiga, Bernhard Preim. Proc. des Workshops Bildverarbeitung für die Medizin (BVM), 359-364 , Erlangen, 2018.
31-C Two-Step Trajectory Visualization for Robot-Assisted Spine Radiofrequency Ablations. Nico Merten, Simon Adler, Magnus Hanses, Sylvia Saalfeld, Mathias Becker, Bernhard Preim. Proc. des Workshops Bildverarbeitung für die Medizin (BVM), in print, Erlangen, 2018.
17-J Guidelines for Quantitative Evaluation of Medical Visualizations on the Example of 3D Aneurysm Surface Comparisons Patrick Saalfeld, Maria Luz, Philipp Berg, Bernhard Preim, Sylvia Saalfeld, Computer Graphics Forum, 37(1), 226-238. https://doi.org/10.1111/cgf.13262, 2018.
30-C Computer-aided detection of the most suitable MRI sequences for subsequent spinal metastasis delineation. Georg Hille, Sylvia Saalfeld, Klaus Tönnies. Proc. des Workshops Bildverarbeitung für die Medizin (BVM), 93-99, Erlangen, 2018.
16-J The FAUST Framework: Free-Form Annotations on Unfolding Vascular Structures for Treatment Planning, Patrick Saalfeld, Sylvia Glaßer, Oliver Beuing, Bernhard Preim Computers & Graphics, 65, pp. 12-21, 2017. bibtex
15-J Does the DSA reconstruction kernel affect hemodynamic predictions intracranial aneurysms? An analysis of geometry and blood flow variations, Philipp Berg, Sylvia Saalfeld, Samuel Voß, Thomas Redel, Bernhard Preim, Gabor Janiga, Oliver Beuing, Journal of NeuroInterventional Surgery, doi: 10.1136/neurintsurg-2017-012996 g), 2017
29-C Virtual enhancement of marker X-ray visibility for cerebral stents and flow diverters, Samuel Manthey, Thomas Hoffmann, G. Cattaneo, Oliver Beuing, Bernhard Preim, Sylvia Saalfeld, 16. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, in print, 2017
28-C A Software Prototype for Treatment Planning and Intervention Support of Robot-Assisted Radiofrequency Ablations of Vertebral Metastases, Nico Merten, Sylvia Saalfeld, Magnus Hanses, Mathias Becker, Simon Adler, Bernhard Preim, 16. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), in print, 2017
27-C Uncertainty Visualization of Ensemble Hemodynamic Simulations for a Cerebral Bifurcation Aneurysm, Sylvia Saalfeld, Philipp Berg, Jan Hirsch, Bernhard Preim, 16. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), in print, 2017
26-C Combining Pseudo Chroma Depth Enhancement and Parameter Mapping for Vascular Surface Models, Benjamin Behrendt, Philipp Berg, Bernhard Preim, Sylvia Saalfeld Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), in print, 2017
25-C 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 Medical Prize, pp. 5-8, 2017
24-C Classification of DCE-MRI Data for Breast Cancer Diagnosis Combining Contrast Agent Dynamics and Texture Features Kai Nie, Sylvia Glaßer, Uli Niemann, Gabriel Mistelbauer, Bernhard Preim, Bildverarbeitung für die Medizin (BVM), 325–330, 2017
13-J Virtual Inflation of the Cerebral Artery Wall for the Integrated Exploration of OCT and Histology Data. S.Glaßer, T. Hoffmann, A. Boese, T. Kalinski, M. Skalej, B. Preim. Computer Graphics Forum 36(8): 57-68, https://doi.org/10.1111/cgf.12994, 2017.
23-C Assessing the Benefits of Interactive Patient-Specific Visualisations for Patient Information Georg Hille, Nico Merten, Steffen Serowy, Sylvia Glaßer, Klaus Tönnies, Bernhard Preim, Bildverarbeitung für die Medizin (BVM), pp. 224-229, 2017
14-J From Imaging to Hemodynamics – How Reconstruction Kernels Influence the Blood Flow Predictions in Intracranial Aneurysms. S. Glaßer, P. Berg, S. Voß, S. Serowy, G. Janiga, B. Preim, O. Beuing. Current Directions in Biomedical Engineering, 2(1):679--683, 2016.
12-J. Objective Quantification of the Vocal Fold Vascular Pattern: Comparison of Narrow Band Imaging and White Light Endoscopy. G. Pliske, S. Voigt-Zimmermann, S. Glaßer, C. Arens. European Archives of Oto-Rhino-Laryngology, 273(9):2599--2605, 2016.
11-J Fluid-Structure Simulations of a Ruptured Intracranial Aneurysm - Constant versus Patient-Specific Wall Thickness. S. Voß, S. Glaßer, T. Hoffmann, O. Beuing, S. Weigand, K. Jachau, B. Preim, D. Thévenin, G. Janiga, P. Berg. Computational and Mathematical Methods in Medicine, 9854539, 09/2016, in print, 2016.
10-J Occlusion-free Blood Flow Animation with Wall Thickness Visualization. K. Lawonn, S. Glaßer, A. Vilanova, B. Preim, T. Isenberg. IEEE Transactions on Visualization and Computer Graphics (TVCG), 22(1):728--737, 2016.
9-J 3D Regression Heat Map Analysis of Population Study Data. P. Klemm, K. Lawonn, S. Glaßer, U. Niemann, K. Hegenscheid, H. Völzke, B. Preim. IEEE Transactions on Visualization and Computer Graphics (TVCG), 22 (1):81--90, 2016.
8-J Experimental Investigation of Intravascular OCT for Imaging of Intracranial Aneurysms. T. Hoffmann, S. Glaßer, A. Boese, E. Eppler, T. Kalinski, O. Beuing, M. Skalej. International Journal of Computer-Assisted Radiology and Surgery (JCARS), 11(2):231--41, 2016.
7-J Hybrid Level-Sets for Vertebral Body Segmentation in Clinical Spine MRI. G. Hille, S. Glaßer, K. Tönnies.Procedia Computer Science, 90: 22-27, 2016.
22-C Evaluation of Time-Dependent Wall Shear Stress Visualizations for Cerebral Aneurysms. S. Glaßer, J. Hirsch, P. Berg, P. Saalfeld, O. Beuing, G. Janiga, B. Preim. In Proc. of Bildverarbeitung für die Medizin (BVM), pp. 236--241, 2016.
21-C How to Evaluate Medical Visualizations on the Example of 3D Aneurysm Surfaces. S. Glaßer, P. Saalfeld, P. Berg, N. Merten, B. Preim. In Proc. of Eurographics Workshop on Visual Computing in Biology and Medicine (VCBM), pp. 153--162, Honorable Mention Award, 2016.
20-C 3D Sketching on Interactively Unfolded Vascular Structures for Treatment Planning. P. Saalfeld, S. Glaßer, O. Beuing, M. Grundmann, B. Preim. In IEEE Symposium on 3D User Interfaces (3DUI), 267--268, 2016.
19-C Extraction of Patient-Specific 3D Cerebral Artery and Wall Thickness Models from 2D OCT and Structured-Light 3D Scanner Data. S. Glaßer, T. Hoffmann, S. Voß, F. Klink, B. Preim. In Proc. der Tagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), pp. 197--202, 2016.
18-C Illustrative PET/CT Visualisation of SIRT-Treated Lung Metastases. N. Merten, S. Glaßer, B. Lassen-Schmidt, O. S. Großer, J. Ricke, H. Amthauer, B. Preim. In Proc. of Eurographics Workshop on Visual Computing in Biology and Medicine (VCBM), pp. 99--104, 2016.
6-J Intravascular Optical Coherence Tomography (OCT) as an Additional Tool for the Assessment of Stent Structures. T. Hoffmann, A. Boese, S. Glaßer, O. Beuing, and M. Skalej. Current Directions in Biomedical Engineering, 1(1): 257--260, 2015.
17-C Reconstruction of 3D Surface Meshes for Blood Flow Simulations of Intracranial Aneurysms. S. Glaßer, P. Berg, M. Neugebauer, B. Preim. In Proc. der Tagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), pp. 163--168, 2015.
16-C Histology-Based Evaluation of Optical Coherence Tomographic Characteristics of the Cerebral Artery Wall via Virtual Inflating. S. Glaßer, T. Hoffmann, A. Boese, S. Voß, T. Kalinski, M. Skalej, B. Preim. In Proc. of Eurographics Workshop on Visual Computing in Biology and Medicine (VCBM), pp. 149--158, Best Paper Award, 2015.
15-C Fluid-Structure Interaction in an Intracranial Aneurysm The Effect of Patient-Specific Wall Thickness on the Hemodynamic Flow. S. Voß, P. Berg, S. Glaßer, T. Hoffmann, G. Janiga. In Proc. of European Solid Mechanics Conference (ESMC), 2015.
14-C 3D User Interfaces for Interactive Annotation of Vascular Structures. P. Saalfeld, S. Glaßer, B. Preim. In Proc. of Mensch und Computer (MuC), pp. 255--258, 2015.
13-C Interactive Visual Analysis of Lumbar Back Pain. P. Klemm, S. Glaßer, K. Lawonn, M. Rak, H. Völzke, K. Hegenscheid, B. Preim. In Proc. of the Conf. on Information Visualization Theory and Applications (IVAPP), pp. 85--92, 2015.
12-C Regionenbasierte rigide Bildregistrierung von präoperativen MR- und intraoperativen Dyna-CT-Bildern zur Interventionsunterstützung bei Wirbelkörpermetastasen. G. Hille, S. Glaßer, O. Riabikin, K. Tönnies. Proc. der Tagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), pp. 175--180, 2015.
5-J Combined Visualization of Wall Thickness and Wall Shear Stress for the Evaluation of Aneurysms. S. Glaßer, K. Lawonn, T. Hoffmann, M. Skalej, B. Preim. IEEE Transactions on Visualization and Computer Graphics (TVCG), 20(12):2506--2515, https://doi.org/10.1109/TVCG.2014.2346406., 2014.
11-C Development of Vessel Phantoms Using Intravascular Ultrasound (IVUS) Datasets. T. Hoffmann, S. Glaßer, F. Klink, A. Boese, M. Skalej. In Proc. of Biomed Tech, Vol. 59, pp.893, 2014.
10-C Adapted Spectral Clustering for Evaluation and Classification of DCE-MRI Breast Tumors. S. Glaßer, S. Roscher, B. Preim. InProc. of Bildverarbeitung für die Medizin (BVM), pp. 198-203, 2014.
9-C Visualization of 3D Cluster Results for Medical Tomographic Image Data. S. Glaßer, K. Lawonn, B. Preim. In Proc. of Conference on Computer Graphics Theory and Applications (VISIGRAPP/GRAPP), pp. 169--176, 2014.
6-C Visual Analysis of Longitudinal Brain Tumor Perfusion S. Glaßer, S. Oeltze, U. Preim, A. Bjornerud, H. Hauser, B. Preim. In Proc. of SPIE Medical Imaging, pp. 86700-, 2013.
8-C Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region. S. Glaßer, U. Niemann, U. Preim, M. Spiliopoulou, B. Preim. Proc. of Bildverarbeitung für die Medizin (BVM), pp. 45--50, 2013.
7-C Can We Distinguish Between Benign and Malignant Breast Tumors in DCE-MRI by Studying a Tumors Most Suspect Region Only? S. Glaßer, U. Niemann, B. Preim, M. Spiliopoulou. In Proc. of IEEE Symposium on Computer-Based Medical Systems (CBMS), pp. 59--64, 2013.
4-J Computer-Aided Diagnosis in Breast DCE-MRI - Quantification of the Heterogeneity of Breast Lesions. U. Preim, S. Glaßer, B. Preim, F. Fischbach, J. Ricke. European Journal of Radiology 81(7):1532--1538, 2012.
3-J Local Similarity Measures for Lesion Registration in DCE-MRI of the Breast. S. Schäfer, U. Preim, S. Glaßer, B. Preim, K.-D. Tönnies. The Annals of the British Machine Vision Association and Society for Pattern Recognition (BMVA) 3:1-13, 2011.
5-C The File-Card-Browser View for Breast DCE-MRI Data. Sylvia Glaßer, Kathrin Scheil, Uta Preim, Bernhard Preim, Proc. of Bildverabeitung für die Medizin (BVM), pp. 314-318, 2011
4-C Deformable Registration of Differently-Weighted Breast Magnetic Resonance Images. T. Böhler, S. Glaßer, H.-O. Peitgen. In Proc. of Bildverarbeitung für die Medizin (BVM), pp. 94--98, 2011.
2-J A Visual Analytics Approach to Diagnosis of Breast DCE-MRI Data. S. Glaßer, U. Preim, K.-D. Tönnies, B. Preim. Computer and Graphics, 34(5):602--611, 2010.
1-J Automatic Transfer Function Specification for Visual Emphasis of Coronary Artery Plaque. S. Glaßer, S. Oeltze, A. Hennemuth, C. Kubisch, A. Mahnken, S. Wilhelmsen, B. Preim. Computer Graphics Forum, 29(1):191--201, 2010.
3-C A Visual Analytics Approach to Diagnosis of Breast DCE-MRI Data. S. Glaßer, S. Schäfer, S. Oeltze, U. Preim, K.-D. Tönnies, B. Preim. In Proc. of Vision, Modeling, and Visualization (VMV), pp. 351-362, Best Paper Award, 2009.
2-C Adapted Transfer Function Design for Coronary Artery Evaluation. S. Glaßer, S. Oeltze, A. Hennemuth, S. Wilhelmsen, B. Preim. In Proc. of Bildverarbeitung für die Medizin (BVM), S. 1-5, 2009.
1-C Glyph-Based Visualization of Myocardial Perfusion Data and Enhancement with Contractility and Viability Information. S. Oeltze, A. Hennemuth, S. Glaßer, C. Kühnel, B. Preim. In Proc. of Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), pp. 11-20, 2008
habiliation thesis
Computer Support for Intracranial Aneurysms. S Saalfeld. Habilitation, Universität Magdeburg, 2020
phd thesis
Visual Analysis, Clustering, and Classification of Contrast-Enhanced Tumor Perfusion MRI Data. S Glaßer. Dissertation, Universität Magdeburg, 2014
book chapter
Vessel Visualization with Volume Rendering. C. Kubisch, S. Glaßer, M. Neugebauer, B. Preim. In Visualization in Medicine and Life Sciences II, pp. 109--132, Springer Berlin Heidelberg, 2012.
awards
"Combining high-resolution vessel wall imaging with image-based flow evaluation in unruptured middle cerebral aneurysms, Berg, P., Larsen, N., Flüh, C., Voß, S., Saalfeld, S., Poster Award at 54rd Annual Congress of theGerman Society for Neuroradiology (neuroRAD 2018), Frankfurt, Germany, 10/2019
Finalist “Hugo-Junkers-Prize for Research and Innovation in Saxony-Anhalt”, 12/2017
Forschungspreis der Fakultät für Informatik für die wissenschaftliche Gesamtleistung, 2017.
Dirk Bartz Prize for Visual Computing in Medicine 4/2017 (Eurographics Medical Prize) für den Beitrag “Sketching and Annotating Vascular Structures to Support Medical Teaching, Treatment Planning and Patient Education”, P. Saalfeld, S. Oeltze-Jafra, S. Saalfeld, U. Preim, O. Beuing, B. Preim.
Honorable Mention Award auf dem Eurographics Workshop on Visual Computing for Biology and Medicine, Bergen, Norwegen, für den Beitrag „How to Evaluate Medical Visualizations on the Example of 3D Aneurysm Surfaces,'' S. Glaßer, P. Saalfeld, P. Berg, N. Merten, B. Preim, 2016.
Best Paper Award auf dem Eurographics Workshop on Visual Computing for Biology and Medicine, Chester, United Kingdom, für den Beitrag „Histology-Based Evaluation of Optical Coherence Tomographic Characteristics of the Cerebral Artery Wall via Virtual Inflating“, S. Glaßer, T. Hoffmann, A. Boese, S. Voß, T. Kalinski, M. Skalej, B. Preim, 2015.
Best Paper Award auf der Konferenz Vision, Modelling and Visualization, Braunschweig, Deutschland, für den Beitrag „A Visual Analytics Approach to Diagnosis of Breast DCE-MRI Data“, S. Glaßer, S. Schäfer, S. Oeltze, U. Preim, K. Tönnies, B. Preim, 2009.
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