2025
|
 | Kreher, Robert, Hille, Georg, Preim, Bernhard, Hinnerichs, Mattes, Borggrefe, Jan, Surov, Alexey, Saalfeld, Sylvia Multilabel segmentation and analysis of skeletal muscle and adipose tissue in routine abdominal CT scans Journal Article Computers in Biology and Medicine, 186 , 2025. Abstract | BibTeX | Links: @article{Kehrer2025,
title = {Multilabel segmentation and analysis of skeletal muscle and adipose tissue in routine abdominal CT scans},
author = {Robert Kreher and Georg Hille and Bernhard Preim and Mattes Hinnerichs and Jan Borggrefe and Alexey Surov and Sylvia Saalfeld },
doi = {https://doi.org/10.1016/j.compbiomed.2024.109622},
year = {2025},
date = {2025-01-07},
journal = {Computers in Biology and Medicine},
volume = {186},
abstract = {Purpose: This paper presents a deep learning-based multi-label segmentation network that extracts a total of
three separate adipose tissues and five different muscle tissues in CT slices of the third lumbar vertebra and
additionally improves the segmentation of the intermuscular fat.
Method: Based on a self-created data set of 130 patients, an extended Unet structure was trained and evaluated
with the help of Dice score, IoU and Pixel Accuracy. In addition, the interobserver variability for the decision
between ground truth and post-processed segmentation was calculated to illustrate the relevance in everyday
clinical practice.
Results: On average, the presented approach achieved 91.0 ± 0.065% DSC for the muscle tissues and
88.9 ± 0.062% DSC for the adipose tissues. It was shown that by post-processing the intermuscular fat tissue,
physicians prefer the result of the algorithm presented in the paper to their segmentation by 91.51%.
Conclusion: The algorithm provided more precise segmentations of muscles and adipose tissue, demonstrating
high-quality performance in segmenting muscle tissue. In qualitative evaluations, physicians preferred the
algorithm’s segmentation over expert segmentations, with the preference quantified as 91.51%. This indicates
that, based on their assessment, the algorithm’s results were significantly favored. This qualitative feedback
supports the algorithm’s use in subsequent analyses of patient fitness, leveraging the detailed information it
provides.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Purpose: This paper presents a deep learning-based multi-label segmentation network that extracts a total of
three separate adipose tissues and five different muscle tissues in CT slices of the third lumbar vertebra and
additionally improves the segmentation of the intermuscular fat.
Method: Based on a self-created data set of 130 patients, an extended Unet structure was trained and evaluated
with the help of Dice score, IoU and Pixel Accuracy. In addition, the interobserver variability for the decision
between ground truth and post-processed segmentation was calculated to illustrate the relevance in everyday
clinical practice.
Results: On average, the presented approach achieved 91.0 ± 0.065% DSC for the muscle tissues and
88.9 ± 0.062% DSC for the adipose tissues. It was shown that by post-processing the intermuscular fat tissue,
physicians prefer the result of the algorithm presented in the paper to their segmentation by 91.51%.
Conclusion: The algorithm provided more precise segmentations of muscles and adipose tissue, demonstrating
high-quality performance in segmenting muscle tissue. In qualitative evaluations, physicians preferred the
algorithm’s segmentation over expert segmentations, with the preference quantified as 91.51%. This indicates
that, based on their assessment, the algorithm’s results were significantly favored. This qualitative feedback
supports the algorithm’s use in subsequent analyses of patient fitness, leveraging the detailed information it
provides. |
2024
|
 | Huber, Tobias, Huettl, Florentine, Vradelis, Lukas, Tripke, Verena, Schott, Danny, Chheang, Vuthea, Saalfeld, Patrick, Allgaier, Mareen, Saalfeld, Sylvia, Preim, Bernhard, Hansen, Christian, Hanke, Laura Isabel, Lang, Hauke Virtual Reality in der Leberchirurgie – Planen, Weiterbilden, Prüfen Journal Article Die Chirurgie, 2024. Abstract | BibTeX | Links: @article{Huber2024,
title = {Virtual Reality in der Leberchirurgie – Planen, Weiterbilden, Prüfen},
author = {Tobias Huber and Florentine Huettl and Lukas Vradelis and Verena Tripke and Danny Schott and Vuthea Chheang and Patrick Saalfeld and Mareen Allgaier and Sylvia Saalfeld and Bernhard Preim and Christian Hansen and Laura Isabel Hanke and Hauke Lang},
doi = {https://doi.org/10.1007/s00104-024-02216-5},
year = {2024},
date = {2024-12-17},
journal = {Die Chirurgie},
abstract = {Bereits seit über 20 Jahren können anatomische Strukturen der Leber aus präoperativen Schnittbildgebungen dreidimensional rekonstruiert werden. Diese dreidimensionale (3D) Darstellung optimiert nicht nur die präoperativen Planungsmöglichkeiten, auch die Vermittlung spezifischer, operationsrelevanter Strukturen kann durch 3D-Modelle verbessert werden. Die disruptive Technologie der virtuellen Realität (VR) kann neben einer plastischen und interaktiven Visualisierung dreidimensionaler Organmodelle auch eine Möglichkeit zur strukturierten Aus- und Weiterbildung hinsichtlich leberchirurgischer Anatomie und Operationsplanung liefern. Prüfungen in virtueller Realität erscheinen dadurch ebenfalls greifbar. Neueste Prototypen ermöglichen sogar eine patientenindividuelle Simulation der intraoperativen Sonographie. Dieser Artikel stellt einen Überblick über den gegenwärtigen Stand der verfügbaren Technologien für Aus- und Weiterbildung mittels VR am Beispiel der Leberchirurgie dar.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bereits seit über 20 Jahren können anatomische Strukturen der Leber aus präoperativen Schnittbildgebungen dreidimensional rekonstruiert werden. Diese dreidimensionale (3D) Darstellung optimiert nicht nur die präoperativen Planungsmöglichkeiten, auch die Vermittlung spezifischer, operationsrelevanter Strukturen kann durch 3D-Modelle verbessert werden. Die disruptive Technologie der virtuellen Realität (VR) kann neben einer plastischen und interaktiven Visualisierung dreidimensionaler Organmodelle auch eine Möglichkeit zur strukturierten Aus- und Weiterbildung hinsichtlich leberchirurgischer Anatomie und Operationsplanung liefern. Prüfungen in virtueller Realität erscheinen dadurch ebenfalls greifbar. Neueste Prototypen ermöglichen sogar eine patientenindividuelle Simulation der intraoperativen Sonographie. Dieser Artikel stellt einen Überblick über den gegenwärtigen Stand der verfügbaren Technologien für Aus- und Weiterbildung mittels VR am Beispiel der Leberchirurgie dar. |
 | Streuber, Marcus, Allgaier, Mareen, Schwab, Roland, Behme, Daniel, Saalfeld, Sylvia A VR neurointerventional setup for catheter-based interventions focusing on visualizing the risk of radiation Journal Article Computers in Biology and Medicine, 183 , pp. 109224, 2024, ISSN: 0010-4825. BibTeX | Links: @article{Streuber2024,
title = {A VR neurointerventional setup for catheter-based interventions focusing on visualizing the risk of radiation},
author = {Marcus Streuber and Mareen Allgaier and Roland Schwab and Daniel Behme and Sylvia Saalfeld},
doi = {10.1016/j.compbiomed.2024.109224},
issn = {0010-4825},
year = {2024},
date = {2024-10-19},
journal = {Computers in Biology and Medicine},
volume = {183},
pages = {109224},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Mittenentzwei, Sarah, Mlitzke, Sophie, Grisanova, Darija, Lawonn, Kai, Preim, Bernhard, Meuschke, Monique Visually communicating pathological changes: A case study on the effectiveness of phong versus outline shading Journal Article Computers & Graphics 2024, 2024. BibTeX @article{Mittenentzwei2024c,
title = {Visually communicating pathological changes: A case study on the effectiveness of phong versus outline shading},
author = {Sarah Mittenentzwei and Sophie Mlitzke and Darija Grisanova and Kai Lawonn and Bernhard Preim and Monique Meuschke},
year = {2024},
date = {2024-10-01},
journal = {Computers & Graphics 2024},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Schroeder, Aaron, Ostendorf, Kai, Bäumler, Kathrin, Mastrodicasa, Domenico, Sandfort, Veit, Fleischmann, Dominik, Preim, Bernhard, Mistelbauer, Gabriel Advanced visualization of aortic dissection anatomy and hemodynamics Journal Article Computers & Graphics 2024, 124 , pp. 104060, 2024, ISSN: 0097-8493. Abstract | BibTeX | Links: @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. |
 | Ostendorf, Kai, Bäumler, Kathrin, Mastrodicasa, Domenico, Fleischmann, Dominik, Preim, Bernhard, Mistelbauer, Gabriel Synthetic surface mesh generation of aortic dissections using statistical shape modeling Journal Article Computers & Graphics 2024, 124 , pp. 104070, 2024, ISSN: 0097-8493. Abstract | BibTeX | Links: @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. |
 | Swiatek, Vanessa M, Amini, Amir, Marinescu, Michelle, Dumitru, Claudia A., Spitz, Lena Iam, Stein, Klaus-Peter, Saalfeld, Sylvia, Rashidi, Ali, Sandalcioglu, I. Erol, Neyazi, Belal Sex Differences in Intracranial Aneurysms: A Matched Cohort Study Journal Article Journal of Personalized Medicine, 14 (10), pp. 1038, 2024. BibTeX | Links: @article{Swiatek_JPersMed2024,
title = {Sex Differences in Intracranial Aneurysms: A Matched Cohort Study},
author = {Vanessa M Swiatek and Amir Amini and Michelle Marinescu and Claudia A. Dumitru and Lena Iam Spitz and Klaus-Peter Stein and Sylvia Saalfeld and Ali Rashidi and I. Erol Sandalcioglu and Belal Neyazi},
doi = {https://doi.org/10.3390/jpm14101038},
year = {2024},
date = {2024-09-28},
journal = {Journal of Personalized Medicine},
volume = {14},
number = {10},
pages = {1038},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Mittenentzwei, Sarah, Murad, Danish, Preim, Bernhard, Meuschke, Monique Leaving the Lab Setting: What We Can Learn About the Perception of Narrative Medical Visualizations from YouTube Comments Inproceedings Visual Computing for Biology and Medicine, 2024, 2024. BibTeX @inproceedings{Mittenentzwei2024,
title = {Leaving the Lab Setting: What We Can Learn About the Perception of Narrative Medical Visualizations from YouTube Comments},
author = {Sarah Mittenentzwei and Danish Murad and Bernhard Preim and Monique Meuschke},
year = {2024},
date = {2024-09-20},
booktitle = {Visual Computing for Biology and Medicine, 2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Mittenentzwei, Sarah, Preim, Bernhard, Meuschke, Monique Why, What, and How to Communicate Health Information Visually: Reflections on the Design Process of Narrative Medical Visualization Inproceedings Visual Computing for Biology and Medicine, 2024, 2024. BibTeX @inproceedings{Mittenentzwei2024b,
title = {Why, What, and How to Communicate Health Information Visually: Reflections on the Design Process of Narrative Medical Visualization},
author = {Sarah Mittenentzwei and Bernhard Preim and Monique Meuschke},
year = {2024},
date = {2024-09-20},
booktitle = {Visual Computing for Biology and Medicine, 2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| Härtel, Tim, Allgaier, Mareen, Behme, Daniel, Preim, Bernhard, Saalfeld, Sylvia Virtual Reality Training for Inner Ear Anatomy Using Gamification Inproceedings Visual Computing for Biology and Medicine, 2024. BibTeX @inproceedings{Haertel25,
title = {Virtual Reality Training for Inner Ear Anatomy Using Gamification},
author = {Tim Härtel and Mareen Allgaier and Daniel Behme and Bernhard Preim and Sylvia Saalfeld},
year = {2024},
date = {2024-09-20},
booktitle = {Visual Computing for Biology and Medicine},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| Maienschein, Theresa, Allgaier, Mareen, Huettl, Florentine, Huber, Tobias, Preim, Bernhard, Meuschke, Monique Virtual Tales: Narrative Virtual Reality for Patient Education Inproceedings Visual Computing for Biology and Medicine, 2024. BibTeX @inproceedings{Maienschein24,
title = {Virtual Tales: Narrative Virtual Reality for Patient Education},
author = {Theresa Maienschein and Mareen Allgaier and Florentine Huettl and Tobias Huber and Bernhard Preim and Monique Meuschke},
year = {2024},
date = {2024-09-20},
booktitle = {Visual Computing for Biology and Medicine},
journal = {Visual Computing for Biology and Medicine},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Spitz, Lena Iam, Umeh, Stanley Chukwuemeka, Behme, Daniel, Neyazi, Belal, Sandalcioglu, I. Erol, Preim, Bernhard, Saalfeld, Sylvia Subset selection for intracranial aneurysms for training simulations Journal Article Current Directions in Biomedical Engineering , 10 (1), pp. 73-76, 2024. BibTeX | Links: @article{Spitz_2024_CURACb,
title = {Subset selection for intracranial aneurysms for training simulations},
author = {Lena Iam Spitz and Stanley Chukwuemeka Umeh and Daniel Behme and Belal Neyazi and I. Erol Sandalcioglu and Bernhard Preim and Sylvia Saalfeld },
doi = {https://doi.org/10.1515/cdbme-2024-0119},
year = {2024},
date = {2024-09-12},
journal = {Current Directions in Biomedical Engineering },
volume = {10},
number = {1},
pages = {73-76},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Kleinau, Anna, Preim, Bernhard, Meuschke, Monique Raccoon: Supporting Risk Communicators in Visualizing Health Data for the Public Inproceedings Vision, Modeling, and Visualization, The Eurographics Association, 2024, ISBN: 978-3-03868-247-9. BibTeX | Links: @inproceedings{Kleinau2024,
title = {Raccoon: Supporting Risk Communicators in Visualizing Health Data for the Public},
author = {Anna Kleinau and Bernhard Preim and Monique Meuschke},
doi = {10.2312/vmv.20241200},
isbn = {978-3-03868-247-9},
year = {2024},
date = {2024-09-12},
booktitle = {Vision, Modeling, and Visualization},
publisher = {The Eurographics Association},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| Spitz, Lena Iam, Umeh, Stanley Chukwuemeka, Behme, Daniel, Neyazi, Belal, Sandalcioglu, I. Erol, Preim, Bernhard, Saalfeld, Sylvia Subset selection for intracranial aneurysms for training simulations Journal Article Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V., 2024, 2024. BibTeX @article{Spitz_2024_CURACa,
title = {Subset selection for intracranial aneurysms for training simulations},
author = {Lena Iam Spitz and Stanley Chukwuemeka Umeh and Daniel Behme and Belal Neyazi and I. Erol Sandalcioglu and Bernhard Preim and Sylvia Saalfeld },
year = {2024},
date = {2024-09-11},
journal = {Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V., 2024},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Spitz, Lena Iam, Schmidt, Jessica, Korte, Jana, Berg, Philipp, Behme, Daniel, Neyazi, Belal, Preim, Bernhard, Saalfeld, Sylvia Morphologic and hemodynamic analysis of intracranial mirror aneurysms Journal Article Current Directions in Biomedical Engineering , 10 (2), pp. 87-90, 2024. BibTeX | Links: @article{Spitz_2023_CURACb,
title = {Morphologic and hemodynamic analysis of intracranial mirror aneurysms},
author = {Lena Iam Spitz and Jessica Schmidt and Jana Korte and Philipp Berg and Daniel Behme and Belal Neyazi and Bernhard Preim and Sylvia Saalfeld},
doi = {https://doi.org/10.1515/cdbme-2024-1074},
year = {2024},
date = {2024-09-10},
journal = { Current Directions in Biomedical Engineering },
volume = {10},
number = {2},
pages = {87-90},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Swiatek, Vanessa M, Amini, Amir, Spitz, Lena Iam, Rashidi, Ali, Dumitru, Claudia A., Stein, Klaus-Peter, Sylvia, Saalfeld,, Sandalcioglu, I. Erol, Neyazi, Belal Anterior interhemispheric vs. pterional approach in the microsurgical management of anterior communicating artery aneurysms: a comparative analysis employing a novel multidimensional matching-tool Journal Article Neurosurgical Review, 47 (366), 2024. BibTeX | Links: @article{SwiatekNeurosurgReview2024,
title = {Anterior interhemispheric vs. pterional approach in the microsurgical management of anterior communicating artery aneurysms: a comparative analysis employing a novel multidimensional matching-tool},
author = {Vanessa M Swiatek and Amir Amini and Lena Iam Spitz and Ali Rashidi and Claudia A. Dumitru and Klaus-Peter Stein and Saalfeld, Sylvia and I. Erol Sandalcioglu and Belal Neyazi},
doi = {https://doi.org/10.1007/s10143-024-02592-w},
year = {2024},
date = {2024-07-29},
journal = {Neurosurgical Review},
volume = {47},
number = {366},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Spitz, Lena Iam, Korte, Jana, Gaidzik, Franziska, Larsen, Naomi, Preim, Bernhard, Saalfeld, Sylvia Assessment of intracranial aneurysm neck deformation after contour deployment Journal Article International Journal of Computer Assisted Radiology and Surgery, 2024. BibTeX | Links: @article{SpitzIJCARS2024,
title = {Assessment of intracranial aneurysm neck deformation after contour deployment},
author = {Lena Iam Spitz and Jana Korte and Franziska Gaidzik and Naomi Larsen and Bernhard Preim and Sylvia Saalfeld},
doi = {https://doi.org/10.1007/s11548-024-03189-w},
year = {2024},
date = {2024-05-31},
journal = {International Journal of Computer Assisted Radiology and Surgery},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Allgaier, Mareen, Huettl, Florentine, Hanka, L., Huber, Tobias, Preim, Bernhard, Saalfeld, Sylvia, Hansen, Christian Gamification Concepts for a VR-based Visuospatial Training for Intraoperative Liver Ultrasound Inproceedings Extended Abstracts of the CHI Conference on Human Factors in Computing Systems , Association for Computing Machinery, 2024, ISBN: 9798400703317. BibTeX | Links: @inproceedings{Allgaier_2024_CHI,
title = {Gamification Concepts for a VR-based Visuospatial Training for Intraoperative Liver Ultrasound},
author = {Mareen Allgaier and Florentine Huettl and L. Hanka and Tobias Huber and Bernhard Preim and Sylvia Saalfeld and Christian Hansen},
doi = {10.1145/3613905.3650736 },
isbn = {9798400703317},
year = {2024},
date = {2024-05-15},
booktitle = {Extended Abstracts of the CHI Conference on Human Factors in Computing Systems },
number = {175},
publisher = {Association for Computing Machinery},
series = {CHI EA '24},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| Belger, Julia, Wagner, Sebastian, Gaebler, Michael, Karnath, Hans-Otto, Preim, Bernhard, Saalfeld, Patrick, Schatz, Anna, Villringer, Arno, Thöne-Otto, Angelika Application of immersive virtual reality for assessing chronic neglect in individuals with stroke: the immersive virtual road-crossing task Journal Article JOURNAL OF CLINICAL AND EXPERIMENTAL NEUROPSYCHOLOGY , pp. 1-18, 2024. BibTeX | Links: @article{Belger_2024,
title = {Application of immersive virtual reality for assessing chronic neglect in individuals with stroke: the immersive virtual road-crossing task },
author = {Julia Belger and Sebastian Wagner and Michael Gaebler and Hans-Otto Karnath and Bernhard Preim and Patrick Saalfeld and Anna Schatz and Arno Villringer and Angelika Thöne-Otto},
doi = {10.1080/13803395.2024.2329380 },
year = {2024},
date = {2024-03-25},
journal = {JOURNAL OF CLINICAL AND EXPERIMENTAL NEUROPSYCHOLOGY },
pages = {1-18},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Kreher, Robert, Chitti, Naveeth Reddy, Hille, Georg, Hürtgen, Janine, Mengonie, Miriam, Braun, Andreas, Tüting, Thomas, Preim, Bernhard, Saalfeld, Sylvia Advanced Deep Learning for Skin Histoglyphics at Cellular Level Inproceedings BVM 2024: Bildverarbeitung für die Medizin 2024, pp. 66-71, Springer Verlag, 2024. BibTeX | Links: @inproceedings{Kreher_BVM_2024,
title = {Advanced Deep Learning for Skin Histoglyphics at Cellular Level},
author = {Robert Kreher and Naveeth Reddy Chitti and Georg Hille and Janine Hürtgen and Miriam Mengonie and Andreas Braun and Thomas Tüting and Bernhard Preim and Sylvia Saalfeld },
doi = {https://doi.org/10.1007/978-3-658-44037-4_20},
year = {2024},
date = {2024-02-20},
booktitle = {BVM 2024: Bildverarbeitung für die Medizin 2024},
pages = {66-71},
publisher = {Springer Verlag},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Swiatek, Vanessa M, Amini, Amir, Ortuño, Celina E. Sandalcioglu, Spitz, Lena Iam, Hartmann, Karl, Rashidi, Ali, Stein, Klaus-Peter, Sylvia, Saalfeld,, Sandalcioglu, I. Erol, Neyazi, Belal Unveiling rupture risk and clinical outcomes in midline aneurysms: A matched cohort analysis investigating the impact of localization within the anterior or posterior circulation Journal Article Neurosurgical Review, 47 (76), 2024. BibTeX | Links: @article{Swiatek2024,
title = {Unveiling rupture risk and clinical outcomes in midline aneurysms: A matched cohort analysis investigating the impact of localization within the anterior or posterior circulation},
author = {Vanessa M Swiatek and Amir Amini and Celina E. Sandalcioglu Ortuño and Lena Iam Spitz and Karl Hartmann and Ali Rashidi and Klaus-Peter Stein and Saalfeld, Sylvia and I. Erol Sandalcioglu and Belal Neyazi},
doi = {http://dx.doi.org/10.1007/s10143-024-02310-6},
year = {2024},
date = {2024-02-07},
journal = {Neurosurgical Review},
volume = {47},
number = {76},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Chheang, Vuthea, Saalfeld, Patrick, Joeres, Fabian, Boedecker, Christian, Huber, Tobias, Huettl, Florentine, Lang, Hauke, Preima, Bernhard, Hansen, Christian A collaborative virtual reality environment for liver surgery planning Journal Article Computers & Graphics, pp. in print, 2024. BibTeX | Links: @article{Chheang_CGF,
title = {A collaborative virtual reality environment for liver surgery planning},
author = {Vuthea Chheang and Patrick Saalfeld and Fabian Joeres and Christian Boedecker and Tobias Huber and Florentine Huettl and Hauke Lang and Bernhard Preima and Christian Hansen},
doi = {https://doi.org/10.1016/j.cag.2021.07.009},
year = {2024},
date = {2024-01-22},
journal = {Computers & Graphics},
pages = {in print},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2023
|
| Ebel, Sebastian, Köhler, Benjamin, Aggarwal, Abhinav, Preim, Bernhard, Behrendt, Benjamin, Jung, Bernd, Gohmann, Robin F., Riekena, Boris, Borger, Michael, Lurz, Philipp, Denecke, Timm, Grothoff, Matthias, Gutberlet, Matthias Comparison of aortic blood flow rotational direction in healthy volunteers and patients with bicuspid aortic valves using volumetric velocity-sensitive cardiovascular magnetic resonance imaging Journal Article Quantitative Imaging in Medicine and Surgery, pp. 1-14, 2023. BibTeX | Links: @article{Ebel_2023,
title = {Comparison of aortic blood flow rotational direction in healthy volunteers and patients with bicuspid aortic valves using volumetric velocity-sensitive cardiovascular magnetic resonance imaging},
author = {Sebastian Ebel and Benjamin Köhler and Abhinav Aggarwal and Bernhard Preim and Benjamin Behrendt and Bernd Jung and Robin F. Gohmann and Boris Riekena and Michael Borger and Philipp Lurz and Timm Denecke and Matthias Grothoff and Matthias Gutberlet},
url = {https://qims.amegroups.org/article/view/118594},
doi = {https://dx.doi.org/10.21037/qims-23-183},
year = {2023},
date = {2023-11-14},
journal = {Quantitative Imaging in Medicine and Surgery},
pages = {1-14},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Preim, Bernhard, Meuschke, Monique, Weiß, Veronika A Survey of Medical Visualization through the Lens of Metaphors Journal Article IEEE Transactions on Visualization and Computer Graphics, 2023. BibTeX | Links: @article{Preim_2023_TVCG,
title = {A Survey of Medical Visualization through the Lens of Metaphors },
author = {Bernhard Preim and Monique Meuschke and Veronika Weiß
},
url = {https://ieeexplore.ieee.org/document/10311416},
doi = {10.1109/TVCG.2023.3330546 },
year = {2023},
date = {2023-11-14},
journal = {IEEE Transactions on Visualization and Computer Graphics},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Kostiuchik, Georgii, Sharan, Lalith, Mayer, Benedikt, Wolf, Ivo, Preim, Bernhard, Engelhardt, Sandy Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits Journal Article International Journal of Computer Assisted Radiology and Surgery, pp. 21, 2023. BibTeX | Links: @article{Kostiuchik_JCARS_2023,
title = {Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits},
author = {Georgii Kostiuchik and Lalith Sharan and Benedikt Mayer and Ivo Wolf and Bernhard Preim and Sandy Engelhardt},
doi = {https://doi.org/10.48550/arXiv.2306.16879},
year = {2023},
date = {2023-10-31},
journal = {International Journal of Computer Assisted Radiology and Surgery},
pages = {21},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Preim, Bernhard, Meuschke, Monique Narrative Visualisierung in der Medizin Journal Article IMAGE. Zeitschrift für interdisziplinäre Bildwissenschaft, 38, 19. Jg., (2) , pp. 94-112, 2023, ISBN: 1614-0885. BibTeX | Links: @article{Preim_2023_Image,
title = {Narrative Visualisierung in der Medizin},
author = {Bernhard Preim and Monique Meuschke},
url = {https://image-journal.de/narrative-visualisierung-in-der-medizin/},
doi = {10.1453/1614-0885-2-2023-15739},
isbn = {1614-0885},
year = {2023},
date = {2023-10-26},
journal = {IMAGE. Zeitschrift für interdisziplinäre Bildwissenschaft},
volume = {38, 19. Jg., (2)},
pages = {94-112},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Allgaier, Mareen, Härtel, Tim Jered, Zubel, Seraphine, Thormann, Maximilian, Behme, Daniel, Preim, Bernhard, Saalfeld, Sylvia Gamified Virtual Reality Training for Visuospatial Ability in Neuroradiology Journal Article Current Directions in Biomedical Engineering, 10 (2), pp. 25-28, 2023. BibTeX | Links: @article{Allgaier_2023_CURAC,
title = {Gamified Virtual Reality Training for Visuospatial Ability in Neuroradiology},
author = {Mareen Allgaier and Tim Jered Härtel and Seraphine Zubel and Maximilian Thormann and Daniel Behme and Bernhard Preim and Sylvia Saalfeld},
doi = {10.1515/cdbme-2024-1058},
year = {2023},
date = {2023-09-14},
booktitle = {Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V., 2023},
journal = {Current Directions in Biomedical Engineering},
volume = {10},
number = {2},
pages = {25-28},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Mayer, Benedikt, Steinhauer, Nastasja, Preim, Bernhard, Meuschke, Monique A Characterization of Interactive Visual Data Stories With a Spatio-Temporal Context Journal Article Computer Graphics Forum, n/a (n/a), pp. e14922, 2023. BibTeX | Links: @article{https://doi.org/10.1111/cgf.14922,
title = {A Characterization of Interactive Visual Data Stories With a Spatio-Temporal Context},
author = {Benedikt Mayer and Nastasja Steinhauer and Bernhard Preim and Monique Meuschke},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.14922},
doi = {https://doi.org/10.1111/cgf.14922},
year = {2023},
date = {2023-08-18},
journal = {Computer Graphics Forum},
volume = {n/a},
number = {n/a},
pages = {e14922},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Mittenentzwei, Sarah, Weiß, Veronika, Schreiber, Steffi, Garrison, Laura, Bruckner, Stefan, Pfister, M., Preim, Bernhard, Meuschke, Monique Do Disease Stories need a Hero? Effects of Human Protagonists on a Narrative Visualization about Cerebral Small Vessel Disease Journal Article Computer Graphics Forum, 42 (3), 2023. BibTeX @article{Mittenentzwei_2023_CGF,
title = {Do Disease Stories need a Hero? Effects of Human Protagonists on a Narrative Visualization about Cerebral Small Vessel Disease},
author = {Sarah Mittenentzwei and Veronika Weiß and Steffi Schreiber and Laura Garrison and Stefan Bruckner and M. Pfister and Bernhard Preim and Monique Meuschke},
year = {2023},
date = {2023-06-19},
journal = {Computer Graphics Forum},
volume = {42},
number = {3},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Mittenentzwei, Sarah, Garrison, Laura A., Mörth, Eric, Lawonn, Kai, Bruckner, Stefan, Preim, Bernhard, Meuschke, Monique Investigating user behavior in slideshows and scrollytelling as narrative genres in medical visualization Journal Article Computers & Graphics, 2023. BibTeX | Links: @article{Mittenentzwei_2023_VCBM,
title = {Investigating user behavior in slideshows and scrollytelling as narrative genres in medical visualization},
author = {Sarah Mittenentzwei and Laura A. Garrison and Eric Mörth and Kai Lawonn and Stefan Bruckner and Bernhard Preim and Monique Meuschke},
doi = {10.1016/j.cag.2023.06.011},
year = {2023},
date = {2023-06-16},
journal = {Computers & Graphics},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Schuette, Charlotte, Streuber, Marcus, Pottgiesser, Vivien, Preim, Bernhard, Saalfeld, Patrick, Vahlbruch, Jan-Willem, Walther, Clemens A teaching concept for school experiments on radioactivity using augmented reality methods Journal Article Radiation Protection Dosimetry, 199 (8-9), pp. 716-724, 2023. BibTeX | Links: @article{Schuette_2023_RPD,
title = {A teaching concept for school experiments on radioactivity using augmented reality methods},
author = {Charlotte Schuette and Marcus Streuber and Vivien Pottgiesser and Bernhard Preim and Patrick Saalfeld and Jan-Willem Vahlbruch and Clemens Walther},
doi = {10.1093/rpd/ncad071},
year = {2023},
date = {2023-06-05},
journal = {Radiation Protection Dosimetry},
volume = {199},
number = {8-9},
pages = {716-724},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Kreher, Robert, Niemann, Annika, Kutty, Libin, Sudhi, Viju, Preim, Bernhard, Behme, Daniel, Saalfeld, Sylvia Geometric Deep Learning Vascular Domain Segmentation Inproceedings Bildverarbeitung für die Medizin 2023, pp. 153-158, Springer Verlag, 2023. BibTeX | Links: @inproceedings{Kreher_2023_BVM,
title = {Geometric Deep Learning Vascular Domain Segmentation},
author = {Robert Kreher and Annika Niemann and Libin Kutty and Viju Sudhi and Bernhard Preim and Daniel Behme and Sylvia Saalfeld },
doi = {10.1007/978-3-658-41657-7_34},
year = {2023},
date = {2023-06-02},
booktitle = {Bildverarbeitung für die Medizin 2023},
volume = {Informatik aktuell},
pages = {153-158},
publisher = {Springer Verlag},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Meuschke, Monique, Niemann, Uli, Behrendt, Benjamin, Gutberlet, Matthias, Preim, Bernhard, Lawonn, Kai GUCCI - Guided Cardiac Cohort Investigation of Blood Flow Data Journal Article IEEE Transactions on Visualization and Computer Graphics, 29 , pp. 1876-1892, 2023. BibTeX | Links: @article{Meuschke_TVCG_2023,
title = {GUCCI - Guided Cardiac Cohort Investigation of Blood Flow Data},
author = {Monique Meuschke and Uli Niemann and Benjamin Behrendt and Matthias Gutberlet and Bernhard Preim and Kai Lawonn},
url = {https://www.vismd.de/wp-content/uploads/2022/09/Paper_Meuschke_TVCG2022.pdf},
doi = {10.1109/TVCG.2021.3134083},
year = {2023},
date = {2023-03-06},
booktitle = {IEEE Transactions on Visualization and Computer Graphics},
journal = {IEEE Transactions on Visualization and Computer Graphics},
volume = {29},
pages = {1876-1892},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Niemann, Annika, Tulamo, Riikka, Netti, Eliisa, Preim, Bernhard, Berg, Philipp, Cebral, Juan, Robertson, Anne, Saalfeld, Sylvia Multimodal exploration of the intracranial aneurysm wall Journal Article International Journal of Computer-Assisted Radiology and Surgery, 2023. BibTeX | Links: @article{Niemann_2023_IJCARS_a,
title = {Multimodal exploration of the intracranial aneurysm wall},
author = {Annika Niemann and Riikka Tulamo and Eliisa Netti and Bernhard Preim and Philipp Berg and Juan Cebral and Anne Robertson and Sylvia Saalfeld},
url = {https://link.springer.com/article/10.1007/s11548-023-02850-0},
year = {2023},
date = {2023-03-06},
journal = {International Journal of Computer-Assisted Radiology and Surgery},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Allgaier, Mareen, Spitz, Lena Iam, Behme, Daniel, Mpotsaris, Anastasios, Berg, Philipp, Preim, Bernhard, Saalfeld, Sylvia Design of a virtual data shelf to effectively explore a large database of 3D medical surface models in VR Journal Article International Journal of Computer Assisted Radiology and Surgery, 18 (1), pp. 2013–2022, 2023. BibTeX | Links: @article{Allgaier2023,
title = {Design of a virtual data shelf to effectively explore a large database of 3D medical surface models in VR},
author = {Mareen Allgaier and Lena Iam Spitz and Daniel Behme and Anastasios Mpotsaris and Philipp Berg and Bernhard Preim and Sylvia Saalfeld},
url = {https://www.vismd.de/wp-content/uploads/2023/05/allgaier_spitz2023_VRshelf.pdf},
doi = {https://doi.org/10.1007/s11548-023-02851-z},
year = {2023},
date = {2023-03-03},
journal = {International Journal of Computer Assisted Radiology and Surgery},
volume = {18},
number = {1},
pages = {2013–2022},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Spitz, Lena Iam, Gaidzik, Franziska, Stucht, Daniel, Mattern, Hendrik, Preim, Bernhard, Saalfeld, Sylvia A hybrid hierarchical strategy for registration of 7T TOF-MRI to 7T PC-MRI intracranial vessel data Journal Article International Journal of Computer-Assisted Radiology and Surgery, 18 (5), pp. 837-844, 2023. BibTeX | Links: @article{Spitz_2023_IJCARS_a,
title = {A hybrid hierarchical strategy for registration of 7T TOF-MRI to 7T PC-MRI intracranial vessel data},
author = {Lena Iam Spitz and Franziska Gaidzik and Daniel Stucht and Hendrik Mattern and Bernhard Preim and Sylvia Saalfeld},
url = {https://www.vismd.de/wp-content/uploads/2023/05/Spitz_Paper_hybridCoReg2023.pdf},
doi = {10.1007/s11548-023-02836-y},
year = {2023},
date = {2023-01-20},
journal = {International Journal of Computer-Assisted Radiology and Surgery},
volume = {18},
number = {5},
pages = {837-844},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Mayer, Benedikt, Meuschke, Monique, Chen, Jian, Müller-Stich, Beat, Wagner, Martin, Preim, Bernhard, Engelhardt, Sandy Interactive Visual Exploration of Surgical Process Data Journal Article International Journal of Computer-Assisted Radiology and Surgery, 18 (1), pp. 127-137, 2023. BibTeX | Links: @article{Mayer_2023_IJCARS,
title = {Interactive Visual Exploration of Surgical Process Data},
author = {Benedikt Mayer and Monique Meuschke and Jian Chen and Beat Müller-Stich and Martin Wagner and Bernhard Preim and Sandy Engelhardt},
url = {https://link.springer.com/article/10.1007/s11548-022-02758-1},
year = {2023},
date = {2023-01-17},
journal = {International Journal of Computer-Assisted Radiology and Surgery},
volume = {18},
number = {1},
pages = {127-137},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Niemann, Annika, Behme, Daniel, Larsen, Naomi, Preim, Bernhard, Saalfeld, Sylvia Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management Journal Article International Journal of Computer-Assisted Radiology and Surgery, 18 (3), pp. 517-525, 2023. BibTeX | Links: @article{Niemann_2023_IJCARS,
title = {Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management},
author = {Annika Niemann and Daniel Behme and Naomi Larsen and Bernhard Preim and Sylvia Saalfeld},
url = {https://link.springer.com/article/10.1007/s11548-022-02818-6},
year = {2023},
date = {2023-01-10},
journal = {International Journal of Computer-Assisted Radiology and Surgery},
volume = {18},
number = {3},
pages = {517-525},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Mittenentzwei, Sarah, Mlitzke, Sophie, Lawonn, Kai, Preim, Bernhard, Meuschke, Monique Communicating Pathologies and Growth to a General Audience Journal Article Visual Computing for Biology and Medicine, 2023. BibTeX | Links: @article{mittenentzwei2023communicating,
title = {Communicating Pathologies and Growth to a General Audience},
author = {Sarah Mittenentzwei and Sophie Mlitzke and Kai Lawonn and Bernhard Preim and Monique Meuschke},
url = {https://diglib.eg.org/bitstream/handle/10.2312/vcbm20231215/075-085.pdf},
year = {2023},
date = {2023-01-01},
journal = {Visual Computing for Biology and Medicine},
publisher = {The Eurographics Association},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Allgaier, Mareen, Huettl, Florentine, Hanke, Laura Isabel, Lang, Hauke, Huber, Tobias, Preim, Bernhard, Saalfeld, Sylvia, Hansen, Christian LiVRSono - Virtual Reality Training with Haptics for Intraoperative Ultrasound Conference IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2023. BibTeX | Links: @conference{Allgaier_2023_ISMAR,
title = {LiVRSono - Virtual Reality Training with Haptics for Intraoperative Ultrasound},
author = {Mareen Allgaier and Florentine Huettl and Laura Isabel Hanke and Hauke Lang and Tobias Huber and Bernhard Preim and Sylvia Saalfeld and Christian Hansen},
doi = {10.1109/ISMAR59233.2023.00114},
year = {2023},
date = {2023-00-00},
booktitle = {IEEE International Symposium on Mixed and Augmented Reality (ISMAR)},
pages = {980-989},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
2022
|
| Thormann, Maximilian, Hinnerichs, Mattes, Ordonez, Felix Barajas, Saalfeld, Sylvia, Perrakis, Aristoteles, Croner, Roland, Omari, Jazan, Pech, Maciej, Zamsheva, Marina, Meyer, Hans-Jonas, Wienke, Andreas, Surov, Alexey Sarcopenia is an Independent Prognostic Factor in Patients With Pancreatic Cancer – a Meta-analysis Journal Article Academic Radiology, (1-10), 2022. BibTeX | Links: @article{Thormann_2022,
title = {Sarcopenia is an Independent Prognostic Factor in Patients With Pancreatic Cancer – a Meta-analysis},
author = {Maximilian Thormann and Mattes Hinnerichs and Felix Barajas Ordonez and Sylvia Saalfeld and Aristoteles Perrakis and Roland Croner and Jazan Omari and Maciej Pech and Marina Zamsheva and Hans-Jonas Meyer and Andreas Wienke and Alexey Surov},
doi = {https://doi.org/10.1016/j.acra.2022.10.025},
year = {2022},
date = {2022-12-22},
journal = {Academic Radiology},
number = {1-10},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Hinnerichs, Mattes, Ferraro, Vincenzo, Zeremski, Vanja, Mougiakakos, Dimitrios, Omari, Jazan, Pech, Maciej, Bär, Caroline, Wienke, Andreas, Saalfeld, Sylvia, Strobel, Alexandra, Surov, Alexey, Meyer, Hans Jonas, Wolleschak, Denise Prognostic Impact of Quality and Distribution of Adipose Tissue in Patients With Primary Central Nervous System Lymphoma Journal Article in viro, 36 , pp. 2628-2834, 2022. BibTeX | Links: @article{Hinnerichs_2022,
title = {Prognostic Impact of Quality and Distribution of Adipose Tissue in Patients With Primary Central Nervous System Lymphoma},
author = {Mattes Hinnerichs and Vincenzo Ferraro and Vanja Zeremski and Dimitrios Mougiakakos and Jazan Omari and Maciej Pech and Caroline Bär and Andreas Wienke and Sylvia Saalfeld and Alexandra Strobel and Alexey Surov and Hans Jonas Meyer and Denise Wolleschak},
doi = {https://pubmed.ncbi.nlm.nih.gov/36309379/},
year = {2022},
date = {2022-11-17},
journal = {in viro},
volume = {36},
pages = {2628-2834},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Hellmeier, Florian, Brüning, Jan, Berg, Philipp, Saalfeld, Sylvia, Spuler, Andreas, Sandalcioglu, Ibrahim Erol, Beuing, Oliver, Larsen, Naomi, Schaller, Jens, Goubergrits, Leonid Geometric uncertainty in intracranial aneurysm rupture status discrimination: a two-site retrospective study Journal Article BMJ Journals, 12 , pp. 1-10, 2022. BibTeX | Links: @article{Hellmeier_2022,
title = {Geometric uncertainty in intracranial aneurysm rupture status discrimination: a two-site retrospective study},
author = {Florian Hellmeier and Jan Brüning and Philipp Berg and Sylvia Saalfeld and Andreas Spuler and Ibrahim Erol Sandalcioglu and Oliver Beuing and Naomi Larsen and Jens Schaller and Leonid Goubergrits},
doi = {http://dx.doi.org/10.1136/bmjopen-2022-063051},
year = {2022},
date = {2022-11-08},
journal = {BMJ Journals},
volume = {12},
pages = {1-10},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Saad, F., Frysch, R., Pfeiffer, T., Saalfeld, S., Schulz, J., Georgi, J.C., Nürnberger, A., Lauritsch, G., Rose, G. Iterative intraoperative digital tomosynthesis image reconstruction using a prior as initial image Inproceedings 7th International Conference on Image Formation in X-Ray Computed Tomography, pp. 669-674, SPIE, 2022. BibTeX @inproceedings{Saad_2022,
title = {Iterative intraoperative digital tomosynthesis image reconstruction using a prior as initial image},
author = {F. Saad and R. Frysch and T. Pfeiffer and S. Saalfeld and J. Schulz and J.C. Georgi and A. Nürnberger and G. Lauritsch and G. Rose},
year = {2022},
date = {2022-10-18},
booktitle = {7th International Conference on Image Formation in X-Ray Computed Tomography},
volume = {12304},
pages = {669-674},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| Spitz, Lena Iam, Allgaier, Mareen, Mpotsaris, Anastasios, Behme, Daniel, Preim, Bernhard, Saalfeld, Sylvia Segmentation of Circle of Willis from 7T TOF-MRI data and immersive exploration using VR Inproceedings Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V., 2022. BibTeX @inproceedings{Spitz_2022_CURACb,
title = {Segmentation of Circle of Willis from 7T TOF-MRI data and immersive exploration using VR},
author = {Lena Iam Spitz and Mareen Allgaier and Anastasios Mpotsaris and Daniel Behme and Bernhard Preim and Sylvia Saalfeld},
year = {2022},
date = {2022-09-16},
booktitle = {Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Niemann, Annika, Janiga, Gabor, Preim, Bernhard, Behme, Daniel, Saalfeld, Sylvia Centerline and blockstructure for fast structured mesh generation Journal Article Current Directions in Biomedical Engineering (CURAC 2022), 8 (1), pp. 13-16, 2022. BibTeX | Links: @article{Niemann_CURAC_2022,
title = {Centerline and blockstructure for fast structured mesh generation},
author = {Annika Niemann and Gabor Janiga and Bernhard Preim and Daniel Behme and Sylvia Saalfeld},
doi = {https://doi.org/10.1515/cdbme-2022-0004},
year = {2022},
date = {2022-09-15},
booktitle = {Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V.},
journal = {Current Directions in Biomedical Engineering (CURAC 2022)},
volume = {8},
number = {1},
pages = {13-16},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| A., Amini,, Y., Zeller,, P., Stein, K., K., Hartmann,, T., Wartmann,, C., Wex,, E., Mirzaee,, M., Swiatek, V., S., Saalfeld,, A., Haghikia,, A., Dumitru, C., I.E., Sandalcioglu,, B., Neyazi, Overcoming Barriers in Neurosurgical Education: A Novel Approach to Practical Ventriculostomy Simulation Journal Article Operative Neurosurgery, 23(3) , pp. 225-234, 2022. BibTeX @article{Amini_2022,
title = {Overcoming Barriers in Neurosurgical Education: A Novel Approach to Practical Ventriculostomy Simulation},
author = {Amini, A. and Zeller, Y. and Stein, K. P. and Hartmann, K. and Wartmann, T. and Wex, C. and Mirzaee, E. and Swiatek, V. M. and Saalfeld, S. and Haghikia, A. and Dumitru, C. A. and Sandalcioglu, I.E. and Neyazi, B. },
year = {2022},
date = {2022-09-12},
journal = {Operative Neurosurgery},
volume = {23(3)},
pages = {225-234},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Stahl, Janneck, Saalfeld, Sylvia, McGuire, Laura Stone, Brunozzi, Denise, Alaraj, Ali, Hasan, David, Berg, Philipp Multimodal hemodynamic evaluation of vessel wall enhanced cerebral draining veins for the assessment of arteriovenous malformations Inproceedings Proc. of Conference on Modelling Fluid Flow (CMFF), 2022. BibTeX @inproceedings{Stahl_2022_CMFF,
title = {Multimodal hemodynamic evaluation of vessel wall enhanced cerebral draining veins for the assessment of arteriovenous malformations},
author = {Janneck Stahl and Sylvia Saalfeld and Laura Stone McGuire and Denise Brunozzi and Ali Alaraj and David Hasan and Philipp Berg},
year = {2022},
date = {2022-09-02},
booktitle = {Proc. of Conference on Modelling Fluid Flow (CMFF)},
journal = { Proc. of Conference on Modelling Fluid Flow (CMFF), 2022},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| Janneck, Stahl,, Anna, Bernovskis,, Daniel, Behme,, Sylvia, Saalfeld,, Philipp, Berg, Impact of patient-specific inflow boundary conditions on intracranial aneurysm hemodynamics Journal Article Current Directions in Biomedical Engineering, 8 (1), pp. 125-128, 2022. BibTeX | Links: @article{Stahl_2022b,
title = {Impact of patient-specific inflow boundary conditions on intracranial aneurysm hemodynamics},
author = {Stahl, Janneck and Bernovskis, Anna and Behme, Daniel and Saalfeld, Sylvia and Berg, Philipp},
editor = {De Gruyter},
doi = {https://doi.org/10.1515/cdbme-2022-0032},
year = {2022},
date = {2022-07-30},
journal = {Current Directions in Biomedical Engineering},
volume = {8},
number = {1},
pages = {125-128},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Kreher, Robert, Hinnerichs, Mattes, Preim, Bernhard, Saalfeld, Sylvia, Surov, Alexey Deep-learning-based Segmentation of Skeletal Muscle Mass in Routine Abdominal CT Scans Journal Article International Journal of Experimental and Clinical Pathophysiology and Drug Research - In Vino, 36(4) (1807-1811), 2022. BibTeX @article{Kreher_2022,
title = {Deep-learning-based Segmentation of Skeletal Muscle Mass in Routine Abdominal CT Scans},
author = {Robert Kreher and Mattes Hinnerichs and Bernhard Preim and Sylvia Saalfeld and Alexey Surov},
year = {2022},
date = {2022-07-28},
journal = {International Journal of Experimental and Clinical Pathophysiology and Drug Research - In Vino},
volume = {36(4)},
number = {1807-1811},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
