@article{Schroeder2025,

title = {Understanding Aortic Dissection Hemodynamics: Evaluating Adapted Smoke Surfaces Against Streakline-Based Techniques},

author = {Aaron Schroeder and Kai Ostendorf and Kathrin Bäumler and Domenico Mastrodicasa and Dominik Fleischmann and Bernhard Preim and Holger Theisel and Gabriel Mistelbauer},

url = {https://www.vismd.de/wp-content/uploads/2025/09/Schroeder2025.pdf

https://www.vismd.de/wp-content/uploads/2025/09/Schroeder2025_plots.pdf

https://www.vismd.de/wp-content/uploads/2025/09/Schroeder2025_results.xlsx},

year  = {2025},

date = {2025-11-02},

journal = {IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2025)},

volume = {33},

number = {1},

publisher = {IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2025)},

abstract = {Aortic dissection is a life-threatening cardiovascular disease characterized by blood entering the media layer of the aortic vessel wall. This creates a second flow channel, known as the false lumen, which weakens the aortic wall and can potentially lead to fatal aortic rupture. Current risk stratification of aortic dissections is primarily based on morphological features of the aorta. However, hemodynamics also play a significant role in disease progression, though their investigation and visualization remain challenging. Common flow visualizations often experience visual clutter, especially when dealing with the intricate morphologies of aortic dissections. In this work, we implement and evaluate different approaches to visualizing the flow in aortic dissections effectively. We employ three techniques, namely streaklines with depth-dependent halos, transparent streaklines, and smoke surfaces. The latter is a technique based on streak surfaces, enhanced with opacity modulations, to produce a smoke-like appearance that improves visual clarity. We adapt the original opacity modulation of smoke surfaces to visualize flow even within the complex geometries of aortic dissections, thereby enhancing visual fidelity. To effectively capture dissection hemodynamics, we developed customized seeding structures that adapt to the shape of the surrounding lumen. Our evaluation, conducted via an online questionnaire, included medical professionals, fluid simulation experts, and visualization specialists. By analyzing results across these groups, we highlight differences in preference and interpretability, offering insight into domain-specific needs. No single visualization technique emerged as the best overall. Smoke surfaces provide the best overall clarity and visual realism. However, participants found streaklines with halos to be the best for quantifying flow, dispite them introducing significant visual clutter. Transparent streaklines serve as a middle ground, offering improved clarity over halos while maintaining some level of detail. Across all participant groups, smoke surfaces were rated as the most visually appealing and lifelike, with medical professionals highlighting their resemblance to contrast-agent injections used in clinical practice.},

keywords = {},

pubstate = {forthcoming},

tppubtype = {article}

}

@article{Belger2025,

title = {Virtual reality eye movement training for neglect rehabilitation},

author = {Julia Belger and Lisa Patricia Peters and Jorik Jakober and Sebastian Wagner and Bernhard Preim and Arno Villringer and Angelika Thoene-Otto},

doi = {https://doi.org/10.1016/j.ijchp.2025.100630},

year  = {2025},

date = {2025-10-15},

journal = {International Journal of Clinical and Health Psychology},

volume = {25},

number = {4},

abstract = {Background

Smooth pursuit training (SPT) is recognized as an effective intervention for spatial neglect by guiding patients’ attention toward the contralesional hemifield through repetitive tracking of moving visual stimuli. However, traditional SPT approaches lack standardized, real-time feedback on gaze and head position and patient motivation, limiting therapists' ability to monitor attention and patients' engagement effectively. Combining immersive virtual reality (VR) with eye tracking may overcome these limitations by providing immediate automated feedback, enhancing therapeutic outcomes and being associated with increased awareness of deficits.



Methods

We developed and evaluated an immersive Virtual Reality Eye Movement Training (VR-EMT) paradigm integrating eye tracking and real-time automated feedback on gaze and head orientation. Twelve chronic post-stroke patients with left-sided neglect completed 10 VR-EMT sessions (each lasting 18 min). We assessed performance in a spatially lateralized object transport task, head rotation behavior, gaze distribution, usability, and patient preferences in comparison to traditional SPT.



Results

VR-EMT was independently executable and highly accepted by patients. Real-time feedback improved patients' head orientation awareness and adjustments. Task accuracy decreased with increasing task difficulty, indicating effective demand modulation. A persistent ipsilesional gaze bias was found during breaks. Patients preferred VR-EMT over traditional SPT due to enhanced feedback, motivation, and challenge. Cybersickness was minimal and did not impair performance.



Conclusions

This feasibility study demonstrated that VR-EMT integrating eye tracking and immediate feedback is technically feasible, clinically applicable, well-accepted, and subjectively preferred over traditional methods in chronic post-stroke neglect patients. Eye tracking functioned reliably, even as the sole interaction modality. Real-time feedback facilitated rapid behavioral adjustments, highlighting the potential for individualized interventions and remote application. Future studies should evaluate clinical efficacy and the benefits of eye-tracking-based attentional assessment.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jakober2025b,

title = {Design, development, and evaluation of an immersive augmented virtuality training system for transcatheter aortic valve replacement},

author = {Jorik Jakober and Matthias Kunz and Robert Kreher and Matteo Pantano and Daniel Braß and Janine Weidling and Christian Hansen and Rüdiger Braun-Dullaeus and Bernhard Preim},

doi = {https://doi.org/10.1016/j.cag.2025.104414},

year  = {2025},

date = {2025-09-12},

journal = {Computers & Graphics},

volume = {133},

abstract = {Strong procedural skills are essential to perform safe and effective transcatheter aortic valve replacement (TAVR). Traditional training takes place in the operating room (OR) on real patients and requires learning new motor skills, resulting in longer procedure times, increased risk of complications, and greater radiation exposure for patients and medical personnel. Desktop-based simulators in interventional cardiology have shown some validity but lack true depth perception, whereas head-mounted display based Virtual Reality (VR) offers intuitive 3D interaction that enhances training effectiveness and spatial understanding. However, providing realistic and immersive training remains a challenging task as both lack tactile feedback. We have developed an augmented virtuality (AV) training system for transfemoral TAVR, combining a catheter tracking device (for translational input) with a simulated virtual OR. The system enables users to manually control a virtual angiography system via hand tracking and navigate a guidewire through a virtual patient up to the aortic valve using fluoroscopic-like imaging. In addition, we conducted a preliminary user study with 12 participants, assessing cybersickness, usability, workload, sense of presence, and qualitative factors. Preliminary results indicate that the system provides realistic interaction for key procedural steps, making it a suitable learning tool for novices. Limitations in angiography system operation include the lack of haptic resistance and usability limitations related to C-arm control, particularly due to hand tracking constraints and split attention between interaction and monitoring. Suggestions for improvement include catheter rotation tracking, expanded procedural coverage, and enhanced fluoroscopic image fidelity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Preßler2025,

title = {Visualization Support for Remote Collaborative Aneurysm Treatment Planning},

author = {Rebecca Preßler and Monique Meuschke and Bernhard Preim and Kai Lawonn},

year  = {2025},

date = {2025-08-18},

journal = {International Journal of Computer Assisted Radiology and Surgery},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zoellner25,

title = {Exploration of interactive nuclide chart visualisations in virtual reality for physics education},

author = {Janine Zöllner and Bernhard Preim and Jan-Willem Vahlbruch and Vivien Pottgießer and Patrick Saalfeld},

doi = {https://doi.org/10.1016/j.cag.2025.104258},

year  = {2025},

date = {2025-08-01},

journal = {Computers & Graphics},

volume = {130},

number = {104258},

abstract = {Immersive virtual reality (VR) is used for various types of learning content. One fundamental but challenging part of VR applications are suitable interaction techniques. In this work, we use the example of interactive nuclide charts to investigate interaction techniques in VR. For this purpose, four variants of visualising an interactive nuclide chart for decay rows in a VR environment were implemented: The floor-freehand variant offers the possibility to move freely on the chart, the floor-controller variant enables teleportation to nuclides using the controller, the wall-freehand variant uses hand gestures to select nuclides, and the wall-controller variant also uses the controller to select nuclides on the wall. Our user study with 24 participants indicated that the wall-controller variant was favoured in terms of usability and user experience.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mittenentzwei2025,

title = {AI-based character generation for disease stories: a case study using epidemiological data to highlight preventable risk factors},

author = {Sarah Mittenentzwei and Laura A Garrison and Beatrice Budich and Kai Lawonn and Alexander Dockhorn and Bernhard Preim and Monique Meuschke},

url = {https://vis.uib.no/wp-content/papercite-data/pdfs/mittenentzwei2025icom.pdf},

doi = {https://doi.org/10.1515/icom-2024-0041},

year  = {2025},

date = {2025-04-16},

journal = {i-com},

volume = {24},

number = {1},

pages = {259-281},

abstract = {Data-driven storytelling has grown significantly, becoming prevalent in various fields, including healthcare. In medical narratives, characters are crucial for engaging audiences, making complex medical information accessible, and potentially influencing positive behavioral and lifestyle changes. However, designing characters that are both educational and relatable to effectively engage audiences is challenging. We propose a GenAI-assisted pipeline for character design in data-driven medical stories, utilizing Stable Diffusion, a deep learning text-to-image model, to transform data into visual character representations. This approach reduces the time and artistic skills required to create characters that reflect the underlying data. As a proof-of-concept, we generated and evaluated two characters in a crowd-sourced case study, assessing their authenticity to the underlying data and consistency over time. In a qualitative evaluation with four experts with knowledge in design and health communication, the characters were discussed regarding their quality and refinement opportunities. The characters effectively conveyed various aspects of the data, such as emotions, age, and body weight. However, generating multiple consistent images of the same character proved to be a significant challenge. This underscores a key issue in using generative AI for character creation: the limited control designers have over the output.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Allgeier2025,

title = {Impact of Input and Output Devices on a Virtual Ultrasound Training},

author = {Mareen Allgaier and Eric-Morten Dangszat and Florentine Huettl and Laura Isabel Hanke and Tobias Huber and Bernhard Preim and Christian Hansen},

doi = {10.1109/VRW66409.2025.00191},

year  = {2025},

date = {2025-03-08},

journal = {2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)},

pages = {937-941},

abstract = {Performing ultrasound requires mental skills that have to be trained hands on. Virtual simulations can be employed to provide novice surgeons with a safe training environment prior to performing ultrasound on the patient. For both input and output there is a wide range of devices that are used in existing ultrasound simulations. Because the devices have their limitations and benefits regarding realism, costs, and access, we compared three technical setups: desktop with mouse interaction, desktop with a haptic device, and virtual reality with a haptic device. In a user study with 19 participants we investigated the usability and assessed qualitative user feedback in a semi-structured interview. Significant differences regarding usability and training time were found between both versions with the haptic device and the desktop with mouse version. Based on the feedback, using a haptic device seems to be more relevant than the two output devices in this training case.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kleinau2025,

title = {FINCH: Locally Visualizing Higher-Order Feature Interactions in Black Box Models},

author = {Anna Kleinau and Bernhard Preim and Monique Meuschke},

doi = { https://doi.org/10.48550/arXiv.2503.16445},

year  = {2025},

date = {2025-02-17},

journal = {arXiv},

abstract = {In an era where black-box AI models are integral to decision-making across industries, robust methods for explaining these models are more critical than ever. While these models leverage complex feature interplay for accurate predictions, most explanation methods only assign relevance to individual features. There is a research gap in methods that effectively illustrate interactions between features, especially in visualizing higher-order interactions involving multiple features, which challenge conventional representation methods. To address this challenge in local explanations focused on individual instances, we employ a visual, subset-based approach to reveal relevant feature interactions. Our visual analytics tool FINCH uses coloring and highlighting techniques to create intuitive, human-centered visualizations, and provides additional views that enable users to calibrate their trust in the model and explanations. We demonstrate FINCH in multiple case studies, demonstrating its generalizability, and conducted an extensive human study with machine learning experts to highlight its helpfulness and usability. With this approach, FINCH allows users to visualize feature interactions involving any number of features locally.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hsu_MIA,

title = {A survey of intracranial aneurysm detection and segmentation},

author = {Wei-Chan Hsu and Monique Meuschke and Alejandro F. Frangi and Bernhard Preim and Kai Lawonn},

editor = {Elsevier},

doi = {https://doi.org/10.1016/j.media.2025.103493},

year  = {2025},

date = {2025-02-11},

journal = {Medical Image Analysis},

volume = {101},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Razavizadeh2025,

title = {A virtual patient authoring tool for transcatheter aortic valve replacement},

author = {Seyedsina Razavizadeh and Markus Kofler and Matthias Kunz and Joerg Kempfert and Ruediger Braun-Dullaeus and Janine Weidling and Bernhard Preim and Christian Hansen},

doi = {https://doi.org/10.1007/s11548-024-03293-x},

year  = {2025},

date = {2025-02-01},

journal = {International Journal of Computer Assisted Radiology and Surgery},

volume = {20},

number = {2},

pages = {379-389},

abstract = {Purpose

Computer-based medical training scenarios, derived from patient’s records, often lack variability, modifiability, and availability. Furthermore, generating image datasets and creating scenarios is resource-intensive. Therefore, patient authoring tools for rapid dataset-independent creation of virtual patients (VPs) is a pressing need.



Methods

An authoring tool and a virtual catheterization laboratory environment were developed. The tool allows customised VP generation through a real-time morphable heart model and Euroscore parameters. The generated VP can be examined inside the vCathLab using a fluoroscopy and monitoring device, both on desktop and immersive virtual reality. Seven board-certified experts evaluated the proposed method from three aspects, i.e. System Usability Scale, qualitative feedback, and its performance in VR.



Results

All participants agreed that this method could provide the necessary information and is anatomically correct within an educational context. Its modifiability, variability, and simplicity were well recognised. The prototype achieved excellent usability score and considerable performance results.



Conclusion

We present a highly variable VP authoring tool that enhances variability in medical training scenarios. Although this work does not aim to explore didactic aspects, the potential of using this approach in an educational context has been confirmed in our study. Accordingly, these aspects can benefit from a thorough investigation in the future. In addition, our tool can be improved to provide more realistic parameter ranges for procedure-specific cases.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@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},

url = {https://www.sciencedirect.com/science/article/pii/S0097849324001584?via%3Dihub},

doi = {https://doi.org/10.1016/j.cag.2024.104023},

year  = {2024},

date = {2024-10-01},

journal = {Computers & Graphics 2024},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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

https://www.vismd.de/wp-content/uploads/2025/12/1-s2.0-S009784932400205X-main.pdf},

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}

}

@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

https://www.vismd.de/wp-content/uploads/2025/12/1-s2.0-S009784932400195X-main.pdf},

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}

}

@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 },

url = {https://www.vismd.de/wp-content/uploads/2025/12/spitz_10.1515_cdbme-2024-0119.pdf},

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}

}

@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}

}

@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}

}

@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}

}

@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

https://isgwww.cs.uni-magdeburg.de/medvismetaphors/},

doi = {10.1109/TVCG.2023.3330546 },

year  = {2024},

date = {2024-01-01},

journal = {IEEE Transactions on Visualization and Computer Graphics},

volume = {30},

number = {10},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dowlatabadi2024visualization,

title = {Visualization of Age Distributions as Elements of Medical Data-Stories},

author = {Sophia Dowlatabadi and Bernhard Preim and Monique Meuschke},

url = {https://arxiv.org/pdf/2409.17854},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {arXiv preprint arXiv:2409.17854},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mayer2024b,

title = {Expert exploranation for communicating scientific methods - A case study in conflict research},

author = {Benedikt Mayer and Karsten Donnay and Kai Lawonn and Bernhard Preim and Monique Meuschke},

url = {https://www.sciencedirect.com/science/article/pii/S0097849324000724?via%3Dihub},

doi = {https://doi.org/10.1016/j.cag.2024.103937},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {Computers & Graphics},

volume = {120},

pages = {103937},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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},

url = {https://vis.uib.no/wp-content/papercite-data/pdfs/garrison-diseasestories.pdf},

doi = {https://doi.org/10.1111/cgf.14817},

year  = {2023},

date = {2023-06-19},

journal = {Computer Graphics Forum},

volume = {42},

number = {3},

pages = {123-135},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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},

doi = {https://doi.org/10.2312/vcbm.20231215},

year  = {2023},

date = {2023-01-01},

journal = {Visual Computing for Biology and Medicine},

publisher = {The Eurographics Association},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mittenentzwei2023CG,

title = {Investigating User Behavior in Slideshows and Scrollytelling as Narrative Genres in Medical Visualization},

author = {Sarah Mittenentzwei and Laura Ann Garrison and Eric Mörth and Kai Lawonn and Stefan Bruckner and Bernhard Preim and Monique Meuschke},

url = {https://www.sciencedirect.com/science/article/pii/S0097849323001061},

doi = {https://doi.org/10.1016/j.cag.2023.06.011},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Computers & Graphics},

volume = {114},

pages = {229-238},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@article{Chabi_2022,

title = {Self-calibration of C-arm imaging system using interventional instruments during an intracranial biplane angiography},

author = {Negar Chabi and Domenico Iuso and Oliver Beuing and Bernhard Preim and Sylvia Saalfeld},

doi = {https://doi.org/10.1007/s11548-022-02580-9},

year  = {2022},

date = {2022-03-23},

journal = {International Journal of Computer Assisted Radiology and Surgery IJCARS },

volume = {17(7)},

number = {1355-1366},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ALLGAIER2022105429,

title = {A comparison of input devices for precise interaction tasks in VR-based surgical planning and training},

author = {Mareen Allgaier and Vuthea Chheang and Patrick Saalfeld and Vikram Apilla and Tobias Huber and Florentine Huettl and Belal Neyazi and Erol I Sandalcioglu and Christian Hansen and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.sciencedirect.com/science/article/pii/S0010482522002219},

doi = {https://doi.org/10.1016/j.compbiomed.2022.105429},

issn = {0010-4825},

year  = {2022},

date = {2022-01-01},

journal = {Computers in Biology and Medicine},

volume = {145},

pages = {105429},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Allgaier_CURAC_2022,

title = {Immersive VR training system for clipping intracranial aneurysms},

author = {Mareen Allgaier and Belal Neyazi and Erol I Sandalcioglu and Bernhard Preim and Sylvia Saalfeld},

doi = {https://doi.org/10.1515/cdbme-2022-0003},

year  = {2022},

date = {2022-01-01},

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 = {9-12},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Spitz_CURAC_2022,

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},

url = {https://www.vismd.de/wp-content/uploads/2023/05/SpitzCURAC2022.pdf},

doi = {https://doi.org/10.1515/cdbme-2022-0033},

year  = {2022},

date = {2022-01-01},

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 = {129-132},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Meuschke2022_CAG,

title = {Narrative medical visualization to communicate disease data},

author = {Monique Meuschke and Laura A Garrison and Noeska N Smit and Benjamin Bach and Sarah Mittenentzwei and Veronika Weiß and Stefan Bruckner and Kai Lawonn and Bernhard Preim},

url = {https://www.sciencedirect.com/science/article/pii/S009784932200139X 

 

https://visualstories.cs.ovgu.de/},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Computers & Graphics},

volume = {107},

pages = {144-157},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Saalfeld_Frontiers_2021,

title = {Can Endovascular Treatment of Fusiform Intracranial Aneurysms Restore the Healthy Hemodynamic Environment? - A Virtual Pilot Study},

author = {Sylvia Saalfeld and Janneck Stahl and J. Korte and L.M.M. Marsh and Bernhard Preim and Oliver Beuing and Y. Cherednychenko and D. Behme and Philipp Berg},

year  = {2021},

date = {2021-12-15},

journal = {Frontiers in Neurology},

pages = {to appear},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Allgaier_IJCARS_2021,

title = {VR-based Training of Craniotomy for Intracranial Aneurysm Surgery},

author = {Mareen Allgaier and A. Amini and B. Neyazi and I.E. Sandalcioglu and Bernhard Preim and Sylvia Saalfeld},

doi = {https://doi.org/10.1007/s11548-021-02538-3},

year  = {2021},

date = {2021-12-15},

journal = {International Journal of Computer Assisted Radiology and Surgery},

pages = {1--8},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Sprengel_JCARS_2021,

title = {Virtual embolization for treatment support of intracranial AVMs using an interactive desktop and VR application},

author = {Ulrike Sprengel and Patrick Saalfeld and Janneck Stahl and Sarah Mittenentzwei and Moritz Drittel and Benjamin Behrendt and N. Kaneko and D. Behme and Philipp Berg and Bernhard Preim and Sylvia Saalfeld},

url = {https://link.springer.com/content/pdf/10.1007/s11548-021-02532-9.pdf},

doi = {10.1007/s11548-021-02532-9},

year  = {2021},

date = {2021-12-14},

journal = {International Journal of Computer Assisted Radiology and Surgery},

volume = {16},

pages = {2119-2127},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Spitz_BioEng_2021,

title = {An interactive tool for identifying patient subgroups based on arbitrary characteristics for medical research},

author = {Lena Iam Spitz and V.M. Swiatek and B. Neyazi and I.E. Sandalcioglu and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/2022/08/Spitz_CURAC2021.pdf},

doi = {10.1515/cdbme-2021-1010},

year  = {2021},

date = {2021-12-09},

journal = {Current Directions in Biomedical Engineering},

volume = {7 (1)},

pages = {43-46},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Niemann_IJCARS_2021,

title = {Complex wall modeling for hemodynamic simulations of intracranial aneurysms based on histologic images},

author = {Annika Niemann and Samuel Voss and R. Tulamo and S. Weigand and Bernhard Preim and Philippb Berg and Sylvia Saalfeld},

year  = {2021},

date = {2021-12-09},

journal = {International Journal of Computer Assisted Radiology and Surgery (IJCARS)},

volume = {16 (4)},

pages = {597-607},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Allgaier_2021_CARS,

title = {Distance and Force Visualisations for Improved Simulation of Intracranial Aneurysm Clipping},

author = {Mareen Allgaier and Belal Neyazi and Bernhard Preim and Sylvia Saalfeld},

url = {https://link.springer.com/article/10.1007/s11548-021-02413-1},

doi = {10.1007/s11548-021-02413-1},

year  = {2021},

date = {2021-01-01},

booktitle = {Proc. of Congress on Computer Assisted Radiology and Surgery (CARS)},

journal = {International Journal of Computer Assisted Radiology and Surgery},

volume = {16},

number = {8},

pages = {1297-1304},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Boedecker_2021_LAS,

title = {Using Virtual 3D-models in Surgical Planning: Workflow of an Immersive Virtual Reality Application in Liver Surgery},

author = {Christian Boedecker and Florentine Huettl and Patrick Saalfeld and Marcus Paschold and Werner Kneist and J Baumgart and Bernhard Preim and Christian Hansen and Hauke Lang and Tobias Huber},

year  = {2021},

date = {2021-01-01},

journal = {Langenbeck`s Archives of Surgery},

pages = {911-915},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Huettl_2021_ATM,

title = {Virtual Reality and 3D Printing Improve Preoperative Visualization of 3D Liver Reconstructions - Results from a Preclinical Comparison of Presentation Modalities and User`s Preference},

author = {Florentine Huettl and Patrick Saalfeld and Christian Hansen and Bernhard Preim and A Poplawski and Werner Kneist and Hauke Lang and Tobias Huber},

year  = {2021},

date = {2021-01-01},

journal = {Annals of Translational Medicine},

pages = {1-11},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Tack_2021_CMPB,

title = {Fully automated Assessment of Knee Alignment from Full-Leg X-Rays employing a "YOLOv4 And Resnet Landmark regression Algorithm" (YARLA): Data from the Osteoarthritis Initiative}},

author = {Alexander Tack and Bernhard Preim and Stefan Zachow},

year  = {2021},

date = {2021-01-01},

journal = {Computer Methods and Programs in Biomedicine},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Berg.2021,

title = {VICTORIA: VIrtual neck Curve and True Ostium Reconstruction of Intracranial Aneurysms},

author = {Philipp Berg and Benjamin Behrendt and Samuel Voß and Oliver Beuing and Belal Neyazi and Ibrahim Erol Sandalcioglu and Bernhard Preim and Sylvia Saalfeld},

doi = {10.1007/s13239-021-00535-w},

issn = {1869-4098},

year  = {2021},

date = {2021-01-01},

journal = {Cardiovascular Engineering and Technology},

abstract = {For the status evaluation of intracranial aneurysms (IAs), morphological and hemodynamic parameters can provide valuable information. For their extraction, a separation of the aneurysm sac from its parent vessel is required that yields the neck curve and the ostium. However, manual and subjective neck curve and ostium definitions might lead to inaccurate IA assessments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mayer_2021_eurovis,

title = {VEHICLE: Validation and Exploration of the Hierarchical Integration of Conflict Event Data},

author = {Benedikt Mayer and Kai Lawonn and Karsten Donnay and Bernhard Preim and Monique Meuschke},

url = {https://diglib.eg.org/bitstream/handle/10.1111/cgf14284/v40i3pp001-012.pdf, PDF Download},

year  = {2021},

date = {2021-01-01},

journal = {Computer Graphics Forum},

volume = {40},

number = {3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mistelbauer_2021_eurovis,

title = {Implicit Modeling of Patient-Specific Aortic Dissections with Elliptic Fourier Descriptors},

author = {Gabriel Mistelbauer and Christian Rössl and Kathrin Bäumler and Bernhard Preim and Dominik Fleischmann},

url = {https://diglib.eg.org/bitstream/handle/10.1111/cgf14318/v40i3pp423-434.pdf, PDF Download},

year  = {2021},

date = {2021-01-01},

journal = {Computer Graphics Forum},

volume = {40},

number = {3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{WAGNER202170,

title = {iVRoad: Immersive virtual road crossing as an assessment tool for unilateral spatial neglect},

author = {Sebastian Wagner and Julia Belger and Fabian Joeres and Angelika Thöne-Otto and Christian Hansen and Bernhard Preim and Patrick Saalfeld},

url = {https://www.sciencedirect.com/science/article/pii/S009784932100128X},

doi = {https://doi.org/10.1016/j.cag.2021.06.013},

issn = {0097-8493},

year  = {2021},

date = {2021-01-01},

journal = {Computers & Graphics},

volume = {99},

pages = {70-82},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{schneider2020medmeshcnnb,

title = {MedMeshCNN - Enabling MeshCNN for Medical Surface Models},

author = {Lisa Schneider and Annika Niemann and Oliver Beuing and Bernhard Preim and Sylvia Saalfeld},

doi = {https://doi.org/10.1016/j.cmpb.2021.106372},

year  = {2021},

date = {2021-01-01},

journal = {Computer Methods and Programs in Biomedicine},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2021_Niemann_tissue,

title = {Tissue segmentation in histologic images of intracranial aneurysm wall},

author = {Annika Niemann and Anitha Talagini and Pavan Kandapagari and Bernhard Preim and Sylvia Saalfeld},

year  = {2021},

date = {2021-01-01},

journal = {Interdisciplinary Neurosurgery},

volume = {26},

pages = {101307},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2021_Mittenentzwei_CARS,

title = {Definition and Extraction of 2D Shape Indices of Intracranial Aneurysm Necks for Rupture Risk Assessment},

author = {Sarah Mittenentzwei and Oliver Beuing and Belal Neyazi and Erol I Sandalcioglu and Naomi Larsen and Bernhard Preim and Sylvia Saalfeld},

url = {https://link.springer.com/content/pdf/10.1007/s11548-021-02469-z.pdf},

doi = {10.1007/s11548-021-02469-z},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Computer Assisted Radiology and Surgery (IJCARS)},

pages = {to appear},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{CHHEANG2021234,

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 Preim and Christian Hansen},

url = {https://www.sciencedirect.com/science/article/pii/S0097849321001400},

doi = {https://doi.org/10.1016/j.cag.2021.07.009},

year  = {2021},

date = {2021-01-01},

journal = {Computers & Graphics},

volume = {99},

pages = {234-246},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{allgaier2021vr,

title = {VR-based training of craniotomy for intracranial aneurysm surgery},

author = {Mareen Allgaier and Amir Amini and Belal Neyazi and Erol I Sandalcioglu and Bernhard Preim and Sylvia Saalfeld},

doi = {10.1007/s11548-021-02538-3},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Computer Assisted Radiology and Surgery},

pages = {1--8},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{meuschke2021towards,

title = {Towards Narrative Medical Visualization},

author = {Monique Meuschke and Laura Garrison and Noeska Smit and Stefan Bruckner and Kai Lawonn and Bernhard Preim},

url = {https://arxiv.org/pdf/2108.05462.pdf},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {arXiv preprint arXiv:2108.05462},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Meuschke_2021_CG_Aneulysis,

title = {Aneulysis - A System for the Visual Analysis of Aneurysm Data},

author = {Monique Meuschke and Bernhard Preim and Kai Lawonn},

url = {https://isgwww.cs.ovgu.de/~meuschke/wp-content/uploads/2025/09/Meuschke_2021_CG_Aneulysis.pdf 

 

https://youtu.be/EK7fdcI-jck 

 

https://github.com/mmeuschke/ANEULYSIS},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Computer & Graphics},

volume = {98},

pages = {197–209},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Heinrich_2021_CG,

title = {Estimating Depth Information of Vascular Models: A Comparative User Study Between a Virtual Reality and a Desktop Application},

author = {Florian Heinrich and Vikram Apilla and Kai Lawonn and Christian Hansen and Bernhard Preim and Monique Meuschke},

url = {https://isgwww.cs.ovgu.de/~meuschke/wp-content/uploads/2025/09/Heinrich_2021_CG.pdf},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Computer & Graphics},

volume = {98},

pages = {210–217},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Meuschke2021_CG,

title = {Skyscraper Visualization of Multiple Time-Dependent Scalar Fields on Surfaces},

author = {Monique Meuschke and Samuel Voß and Franziska Gaidzik and Bernhard Preim and Kai Lawonn},

url = {https://isgwww.cs.ovgu.de/~meuschke/wp-content/uploads/2025/09/Meuschke_2021_Skyscraper.pdf 

 

https://youtu.be/EK7fdcI-jck},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Computer & Graphics},

volume = {99},

pages = {22–42},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Preim_2020_CGF,

title = {A Survey of Visual Analytics for Public Health},

author = {Bernhard Preim and Kai Lawonn},

year  = {2020},

date = {2020-01-01},

journal = {Computer Graphics Forum},

volume = {39(1)},

pages = {543--580},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Schlachter_2020_IJCRT,

title = {Principles of Visualization in Radiation Oncology},

author = {Matthias Schlachter and Bernhard Preim and Katja Bühler and Renata Georgia Raidou},

year  = {2020},

date = {2020-01-01},

journal = {Oncology and Informatics},

pages = {412--422},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Niemann2020,

title = {Interactive exploration of a 3D intracranial aneurysm wall model extracted from histologic slices},

author = {Annika Niemann and Simon Weigand and Thomas Hoffmann and Martin Skalej and Riikka Tulamo and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/legacy/niemann2020.pdf, PDF Download},

doi = {10.1007/s11548-019-02083-0},

issn = {1861-6429},

year  = {2020},

date = {2020-01-01},

journal = {International Journal of Computer Assisted Radiology and Surgery},

volume = {15},

number = {1},

pages = {99--107},

abstract = {Currently no detailed in vivo imaging of the intracranial vessel wall exists. Ex vivo histologic images can provide information about the intracranial aneurysm (IA) wall composition that is useful for the understanding of IA development and rupture risk. For a 3D analysis, the 2D histologic slices must be incorporated in a 3D model which can be used for a spatial evaluation of the IA's morphology, including analysis of the IA neck.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Spitz_JCARS_2020,

title = {Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms},

author = {Lena Iam Spitz and Uli Niemann and Oliver Beuing and Belal Neyazi and Erol I Sandalcioglu and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/legacy/spitz_jcars_2020.pdf, PDF Download},

doi = {10.1007/s11548-020-02217-9},

year  = {2020},

date = {2020-01-01},

journal = {International Journal of Computer Assisted Radiology and Surgery (IJCARS)},

volume = {15},

number = {9},

pages = {1525--1535},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bernhard_2020_CG,

title = {A survey of medical animations},

author = {Bernhard Preim and Monique Meuschke},

year  = {2020},

date = {2020-01-01},

journal = {Computer and Graphics},

volume = {90},

pages = {145--168},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Weiss_2020_MTI,

title = {Positive Design for Children with Atopic Dermatitis - Enhanced Problem-Solvingand Possibility-Driven Approach in the Contextof Chronic Disease},

author = {Veronika Weiß and Michael Minge and Bernhard Preim and Steffi Hußlein},

url = {https://www.vismd.de/wp-content/uploads/legacy/weiss_2020_mti.pdf, PDF Download},

year  = {2020},

date = {2020-01-01},

journal = {Multimodal Technologies and Interaction},

volume = {4 (69)},

pages = {1--17},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chheang_2020_JCARS,

title = {Toward interprofessional team training for surgeons and anesthesiologists using virtual reality},

author = {Vuthea Chheang and Virve Fischer and Holger Buggenhagen and Tobias Huber and Florentine Hüttl and Werner Kneist and Bernhard Preim and Patrick Saalfeld and Christian Hansen},

url = {https://www.vismd.de/wp-content/uploads/legacy/chheang_2020_jcars.pdf, PDF Download},

year  = {2020},

date = {2020-01-01},

journal = {International Journal of Computer Assisted Radiology and Surgery},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{neyazi2020rupture,

title = {Rupture risk assessment for multiple intracranial aneurysms: why there is no need for dozens of clinical, morphological and hemodynamic parameters},

author = {Belal Neyazi and Vanessa M Swiatek and Martin Skalej and Oliver Beuing and Klaus-Peter Stein and Jörg Hattingen and Bernhard Preim and Philipp Berg and Sylvia Saalfeld and Erol I Sandalcioglu},

url = {https://www.vismd.de/wp-content/uploads/legacy/neyazi2020rupture.pdf, PDF Download},

year  = {2020},

date = {2020-01-01},

journal = {Therapeutic Advances in Neurological Disorders},

volume = {13},

pages = {1756286420966159},

publisher = {SAGE Publications Sage UK: London, England},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ebel_2020,

title = {Automated quantitative extraction and analysis of 4D flow patterns in the ascending aorta -- an intraindividual comparison at 1.5 T and 3 T},

author = {Sebastian Ebel and Josefin Dufke and Benjamin Köhler and Bernhard Preim and Benjamin Behrendt and Boris Riekena and Bernd Jung and Christian Stehning and Siegfried Kropf and Matthias Grothoff and Matthias Gutberlet},

year  = {2020},

date = {2020-01-01},

journal = {Scientific reports},

volume = {10.2020},

pages = {9 Seiten},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Weiss_2020b,

title = {Positive design for children with atopic dermatitis -- enhanced problem-solving and possibility-driven approach in the context of chronic disease},

author = {Veronika Weiß and Michael Minge and Bernhard Preim and Steffi Hußlein},

year  = {2020},

date = {2020-01-01},

journal = {Multimodal technologies and interaction: open access journal},

volume = {4(4)},

pages = {17 Seiten},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Alemzadeh_2019_CGF,

title = {Visual Analysis of Missing Values in Longitudinal Cohort Study Data},

author = {Shiva Alemzadeh and Uli Niemann and Till Ittermann and Henry Völzke and Daniel Schneider and Myra Spiliopoulou and Katja Bühler and Bernhard Preim},

url = {https://www.vismd.de/wp-content/uploads/legacy/alemzadeh_2019_cgf.pdf, PDF Download},

year  = {2019},

date = {2019-01-01},

journal = {Computer Graphics Forum},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Engelhardt_2019_JCARS,

title = {Flexible and Comprehensive Patient-Specific Mitral Valve Silicone Models with Chordae Tendinae Made From 3D-Printable Molds},

author = {Sandy Engelhardt and Simon Sauerzapf and Bernhard Preim and Matthias Karck and Ivo Wolf and Raffaele De Simone},

year  = {2019},

date = {2019-01-01},

booktitle = {International Journal of Computer Assisted Radiology and Surgery},

journal = {International Journal of Computer Assisted Radiology and Surgery},

volume = {14(7)},

pages = {1177--1186},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Engelke_2019_CGF,

title = {Autonomous Particles for Interactive Flow Visualization},

author = {Wito Engelke and Kai Lawonn and Bernhard Preim and Ingrid Hotz},

year  = {2019},

date = {2019-01-01},

journal = {Computer Graphics Forum},

volume = {38 (1)},

pages = {248--259},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Koehlerd,

title = {Bloodline: A system for the guided analysis of cardiac 4D PC-MRI data},

author = {Benjamin Köhler and Matthias Grothoff and Matthias Gutberlet and Bernhard Preim},

url = {https://www.youtube.com/watch?v=Iyo-ge12qhI, YouTube},

doi = {10.1016/j.cag.2019.05.004},

year  = {2019},

date = {2019-01-01},

journal = {Computers & Graphics},

volume = {82},

pages = {32--43},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lawonn_2019_EuroVIS,

title = {A Geometric Optimization Approach for the Detection and Segmentation of Multiple Aneurysms},

author = {Kai Lawonn and Monique Meuschke and Ralph Wickenhöfer and Bernhard Preim and Klaus Hildebrandt},

url = {https://www.vismd.de/wp-content/uploads/legacy/lawonn_2019_eurovis.pdf, PDF Download

https://www.youtube.com/watch?v=0hskWkTr4Xo, YouTube},

year  = {2019},

date = {2019-01-01},

journal = {Computer Graphics Forum},

volume = {38(3)},

pages = {413--425},

keywords = {},

pubstate = {published},

tppubtype = {article}

}