Glyph-Based Visualization of Myocardial Perfusion Data and Enhancement with Contractility and Viability Information. - Steffen Oeltze; Anja Hennemuth; Sylvia Glaßer; Caroline Kühnel; Bernhard Preim (VCBM, 2008)

Adapted Transfer Function Design for Coronary Artery Evaluation. - Sylvia Glaßer; Steffen Oeltze; Anja Hennemuth; Skadi Wilhelmsen; Bernhard Preim (Bildverarbeitung für die Medizin, 2009)

A Visual Analytics Approach to Diagnosis of Breast DCE-MRI Data. - Sylvia Glaßer; Sebastian Schäfer 002; Steffen Oeltze; Uta Preim; Klaus D. Tönnies; Bernhard Preim (VMV, 2009)

A visual analytics approach to diagnosis of breast DCE-MRI data. - Sylvia Glaßer; Uta Preim; Klaus D. Tönnies; Bernhard Preim (Comput. Graph., 2010)

Automatic Transfer Function Specification for Visual Emphasis of Coronary Artery Plaque. - Sylvia Glaßer; Steffen Oeltze; Anja Hennemuth; Christoph Kubisch; Andreas H. Mahnken; Skadi Wilhelmsen; Bernhard Preim (Comput. Graph. Forum, 2010)

Deformable Registration of Differently-Weighted Breast Magnetic Resonance Images. - Tobias Böhler; Sylvia Glaßer; Heinz-Otto Peitgen (Bildverarbeitung für die Medizin, 2011)

The File-Card-Browser View for Breast DCE-MRI Data. - Sylvia Glaßer; Kathrin Scheil; Uta Preim; Bernhard Preim (Bildverarbeitung für die Medizin, 2011)

Vessel Visualization with Volume Rendering. - Christoph Kubisch; Sylvia Glaßer; Mathias Neugebauer; Bernhard Preim (Visualization in Medicine and Life Sciences II, 2012)

Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region. - Sylvia Glaßer; Uli Niemann; Uta Preim; Bernhard Preim; Myra Spiliopoulou (Bildverarbeitung für die Medizin, 2013)

Can we distinguish between benign and malignant breast tumors in DCE-MRI by studying a tumor's most suspect region only? - Sylvia Glaßer; Uli Niemann; Bernhard Preim; Myra Spiliopoulou (CBMS, 2013)

Visual analysis of longitudinal brain tumor perfusion. - Sylvia Glaßer; Steffen Oeltze; Uta Preim; Atle Bjørnerud; Helwig Hauser; Bernhard Preim (Computer-Aided Diagnosis, 2013)

Adapted Spectral Clustering for Evaluation and Classification of DCE-MRI Breast Tumors. - Sylvia Glaßer; Sophie Roscher; Bernhard Preim (Bildverarbeitung für die Medizin, 2014)

Visualization of 3D Cluster Results for Medical Tomographic Image Data. - Sylvia Glaßer; Kai Lawonn; Bernhard Preim (GRAPP, 2014)

Combined Visualization of Wall Thickness and Wall Shear Stress for the Evaluation of Aneurysms. - Sylvia Glaßer; Kai Lawonn; Thomas Hoffmann 002; Martin Skalej; Bernhard Preim (IEEE Trans. Vis. Comput. Graph., 2014)

Visual analysis, clustering, and classification of contrast-enhanced tumor perfusion MRI data - Sylvia Glaßer (2014)

Reconstruction of 3D Surface Meshes for Bood Flow Simulations of Intracranial Aneurysms. - Sylvia Glaßer; Philipp Berg; Mathias Neugebauer; Bernhard Preim (CURAC, 2015)

Regionenbasierte rigide Bildregistrierung von präoperativen MR- und intraoperativen Dyna-CT-.Bildern zur Interventionsunterstützung bei Wirbelkörpermetastasen. - Georg Hille; Sylvia Glaßer; Oleksandr Riabikin; Klaus D. Tönnies (CURAC, 2015)

Interactive Visual Analysis of Lumbar Back Pain - What the Lumbar Spine Tells About Your Life. - Paul Klemm; Sylvia Glaßer; Kai Lawonn; Marko Rak; Henry Völzke; Katrin Hegenscheid; Bernhard Preim (IVAPP, 2015)

3D User Interfaces for Interactive Annotation of Vascular Structures. - Patrick Saalfeld; Sylvia Glaßer; Bernhard Preim (MuC, 2015)

Histology-Based Evaluation of Optical Coherence Tomographic Characteristics of the Cerebral Artery Wall via Virtual Inflating. - Sylvia Glaßer; Thomas Hoffmann 002; Axel Boese; Samuel Voß; Thomas Kalinski; Martin Skalej; Bernhard Preim (VCBM, 2015)

3D sketching on interactively unfolded vascular structures for treatment planning. - Patrick Saalfeld; Sylvia Glaßer; Oliver Beuing; Mandy Grundmann; Bernhard Preim (3DUI, 2016)

Evaluation of Time-Dependent Wall Shear Stress Visualizations for Cerebral Aneurysms. - Sylvia Glaßer; Jan Hirsch; Philipp Berg; Patrick Saalfeld; Oliver Beuing; Gábor Janiga; Bernhard Preim (Bildverarbeitung für die Medizin, 2016)

Extraction of Patient-Specific 3D Cerebral Artery and Wall Thickness Models from 2D OCT and Structured-Light 3D Scanner Data. - Sylvia Glaßer; Thomas Hoffmann 002; Samuel Voß; Fabian Klink; Bernhard Preim (CURAC, 2016)

Hybrid Level-Sets for Vertebral Body Segmentation in Clinical Spine MRI. - Georg Hille; Sylvia Glaßer; Klaus D. Tönnies (MIUA, 2016)

How to Evaluate Medical Visualizations on the Example of 3D Aneurysm Surfaces. - Sylvia Glaßer; Patrick Saalfeld; Philipp Berg; Nico Merten; Bernhard Preim (VCBM/MedViz, 2016)

Illustrative PET/CT Visualisation of SIRT-Treated Lung Metastases. - Nico Merten; Sylvia Glaßer; Bianca Lassen-Schmidt; Oliver Stephan Großer; Jens Ricke; Holger Amthauer; Bernhard Preim (VCBM/MedViz, 2016)

Experimental investigation of intravascular OCT for imaging of intracranial aneurysms. - Thomas Hoffmann 002; Sylvia Glaßer; Axel Boese; Knut Brandstädter; Thomas Kalinski; Oliver Beuing; Martin Skalej (Int. J. Comput. Assist. Radiol. Surg., 2016)

Fluid-Structure Simulations of a Ruptured Intracranial Aneurysm: Constant versus Patient-Specific Wall Thickness. - Samuel Voß; Sylvia Glaßer; Thomas Hoffmann 002; Oliver Beuing; Simon Weigand; Katja Jachau; Bernhard Preim; Dominique Thévenin; Gábor Janiga; Philipp Berg (Comput. Math. Methods Medicine, 2016)

3D Regression Heat Map Analysis of Population Study Data. - Paul Klemm; Kai Lawonn; Sylvia Glaßer; Uli Niemann; Katrin Hegenscheid; Henry Völzke; Bernhard Preim (IEEE Trans. Vis. Comput. Graph., 2016)

Occlusion-free Blood Flow Animation with Wall Thickness Visualization. - Kai Lawonn; Sylvia Glaßer; Anna Vilanova; Bernhard Preim; Tobias Isenberg 001 (IEEE Trans. Vis. Comput. Graph., 2016)

Assessing the Benefits of Interactive Patient-Specific Visualisations for Patient Information. - Georg Hille; Nico Merten; Steffen Serowy; Sylvia Glaßer; Klaus D. Tönnies; Bernhard Preim (Bildverarbeitung für die Medizin, 2017)

Classification of DCE-MRI Data for Breast Cancer Diagnosis Combining Contrast Agent Dynamics and Texture Features. - Kai Nie; Sylvia Glaßer; Uli Niemann; Gabriel Mistelbauer; Bernhard Preim (Bildverarbeitung für die Medizin, 2017)

Sketching and Annotating Vascular Structures to Support Medical Teaching, Treatment Planning and Patient Education. - Patrick Saalfeld; Steffen Oeltze-Jafra; Sylvia Saalfeld; Uta Preim; Oliver Beuing; Bernhard Preim (Eurographics (Dirk Bartz Prize), 2017)

Combining Pseudo Chroma Depth Enhancement and Parameter Mapping for Vascular Surface Models. - Benjamin Behrendt; Philipp Berg; Bernhard Preim; Sylvia Saalfeld (VCBM, 2017)

The FAUST framework: Free-form annotations on unfolding vascular structures for treatment planning. - Patrick Saalfeld; Sylvia Glaßer; Oliver Beuing; Bernhard Preim (Comput. Graph., 2017)

Virtual Inflation of the Cerebral Artery Wall for the Integrated Exploration of OCT and Histology Data. - Sylvia Glaßer; Thomas Hoffmann 002; Axel Boese; Samuel Voß; Thomas Kalinski; Martin Skalej; Bernhard Preim (Comput. Graph. Forum, 2017)

Computer-aided Detection of the Most Suitable MRI Sequences for Subsequent Spinal Metastasis Delineation. - Georg Hille; Steffen Serowy; Klaus Tönnies; Sylvia Saalfeld (Bildverarbeitung für die Medizin, 2018)

Two-Step Trajectory Visualization for Robot-Assisted Spine Radiofrequency Ablations. - Nico Merten; Simon Adler; Magnus Hanses; Sylvia Saalfeld; Mathias Becker; Bernhard Preim (Bildverarbeitung für die Medizin, 2018)

Impact of Gradual Vascular Deformations on the Intra-aneurysmal Hemodynamics. - Samuel Voß; Patrick Saalfeld; Sylvia Saalfeld; Oliver Beuing; Gábor Janiga; Bernhard Preim (Bildverarbeitung für die Medizin, 2018)

Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters. - Uli Niemann; Philipp Berg; Annika Niemann; Oliver Beuing; Bernhard Preim; Myra Spiliopoulou; Sylvia Saalfeld (CBMS, 2018)

3DRA Reconstruction of Intracranial Aneurysms - How does Voxel Size Influences Morphologic and Hemodynamic Parameters. - Philipp Berg; Livia Radtke; Samuel Voß; Steffen Serowy; Gábor Janiga; Bernhard Preim; Oliver Beuing; Sylvia Saalfeld (EMBC, 2018)

Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters. - Sylvia Saalfeld; Philipp Berg; Annika Niemann; Maria Luz; Bernhard Preim; Oliver Beuing (Int. J. Comput. Assist. Radiol. Surg., 2018)

Multi-segmental spine image registration supporting image-guided interventions of spinal metastases. - Georg Hille; Sylvia Saalfeld; Steffen Serowy; Klaus Tönnies (Comput. Biol. Medicine, 2018)

Explorative Blood Flow Visualization using Dynamic Line Filtering based on Surface Features. - Benjamin Behrendt; Philipp Berg; Oliver Beuing; Bernhard Preim; Sylvia Saalfeld (Comput. Graph. Forum, 2018)

Guidelines for Quantitative Evaluation of Medical Visualizations on the Example of 3D Aneurysm Surface Comparisons. - Patrick Saalfeld; Maria Luz; Philipp Berg; Bernhard Preim; Sylvia Saalfeld (Comput. Graph. Forum, 2018)

Vertebral body segmentation in wide range clinical routine spine MRI data. - Georg Hille; Sylvia Saalfeld; Steffen Serowy; Klaus D. Tönnies (Comput. Methods Programs Biomed., 2018)

Segmentation of Vertebral Metastases in MRI Using an U-Net like Convolutional Neural Network. - Georg Hille; Max Dünnwald; Mathias Becker; Johannes Steffen; Sylvia Saalfeld; Klaus Tönnies (Bildverarbeitung für die Medizin, 2019)

Towards Automated Reporting and Visualization of Lymph Node Metastases of Lung Cancer. - Nico Merten; Philipp Genseke; Bernhard Preim; Michael C. Kreissl; Sylvia Saalfeld (Bildverarbeitung für die Medizin, 2019)

Evolutionary Pathlines for Blood Flow Exploration in Cerebral Aneurysms. - Benjamin Behrendt; Wito Engelke; Philipp Berg; Oliver Beuing; Bernhard Preim; Ingrid Hotz; Sylvia Saalfeld (VCBM, 2019)

Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH) - phase II: rupture risk assessment. - Philipp Berg; Samuel Voß; Gábor Janiga; Sylvia Saalfeld; Aslak Wigdahl Bergersen; Kristian Valen-Sendstad; Jan Brüning; Leonid Goubergrits; Andreas Spuler; Tin Lok Chiu; Anderson Chun On Tsang; Gabriele Copelli; et al. (Int. J. Comput. Assist. Radiol. Surg., 2019)

Flow-splitting-based computation of outlet boundary conditions for improved cerebrovascular simulation in multiple intracranial aneurysms. - Sylvia Saalfeld; Samuel Voß; Oliver Beuing; Bernhard Preim; Philipp Berg (Int. J. Comput. Assist. Radiol. Surg., 2019)

A two-step risk assessment method for radiofrequency ablations of spine metastases. - Nico Merten; Simon Adler; Georg Hille; Magnus Hanses; Mathias Becker; Sylvia Saalfeld; Bernhard Preim (Comput. Biol. Medicine, 2019)

Generation and Visual Exploration of Medical Flow Data: Survey, Research Trends and Future Challenges. - Steffen Oeltze-Jafra; Monique Meuschke; Mathias Neugebauer; Sylvia Saalfeld; Kai Lawonn; Gábor Janiga; Hans-Christian Hege; Stefan Zachow; Bernhard Preim (Comput. Graph. Forum, 2019)

Floor Map Visualizations of Medical Volume Data. - Nico Merten; Sylvia Saalfeld; Bernhard Preim (J. WSCG, 2019)

VICTORIA. - Benjamin Behrendt; Samuel Voß; Oliver Beuing; Bernhard Preim; Philipp Berg; Sylvia Saalfeld (Bildverarbeitung für die Medizin, 2020)

Automatic Segmentation of Necrosis Zones after Radiofrequency Ablation of Spinal Metastases. - Johannes Steffen; Georg Hille; Mathias Becker; Sylvia Saalfeld; Klaus Tönnies (ICPRAM, 2020)

The Virtual Reality Flow Lens for Blood Flow Exploration. - Benjamin Behrendt; Lisa Piotrowski; Sylvia Saalfeld; Bernhard Preim; Patrick Saalfeld (VCBM, 2020)

Interactive exploration of a 3D intracranial aneurysm wall model extracted from histologic slices. - Annika Niemann; Simon Weigand; Thomas Hoffmann 002; Martin Skalej; Riikka Tulamo; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2020)

Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms. - Lena Spitz; Uli Niemann; Oliver Beuing; Belal Neyazi; I. Erol Sandalcioglu; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2020)

Spinal Metastases Segmentation in MR Imaging using Deep Convolutional Neural Networks. - Georg Hille; Johannes Steffen; Max Dünnwald; Mathias Becker; Sylvia Saalfeld; Klaus Tönnies (CoRR, 2020)

A Machine Learning Approach Towards Fatty Liver Disease Detection in Liver Ultrasound Images. - Adarsh Kuzhipathalil; Anto Thomas; Keerthana Chand; Elmer Jeto Gomes Ataide; Alexander Link; Annika Niemann; Sylvia Saalfeld; Michael Friebe; Jens Ziegle (Bildverarbeitung für die Medizin, 2021)

Towards Deep Learning-based Wall Shear Stress Prediction for Intracranial Aneurysms. - Annika Niemann; Lisa Schneider; Bernhard Preim; Samuel Voß; Philipp Berg; Sylvia Saalfeld (Bildverarbeitung für die Medizin, 2021)

Interactive Visualization of Cerebral Blood Flow for Arteriovenous Malformation Embolisation. - Ulrike Sprengel; Patrick Saalfeld; Sarah Mittenentzwei; Moritz Drittel; Belal Neyazi; Philipp Berg; Bernhard Preim; Sylvia Saalfeld (Bildverarbeitung für die Medizin, 2021)

Visual Exploration of Intracranial Aneurysm Blood Flow Adapted to the Clinical Researcher. - Benjamin Behrendt; Wito Engelke; Philipp Berg; Oliver Beuing; Ingrid Hotz; Bernhard Preim; Sylvia Saalfeld (EuroVis (Dirk Bartz Prize), 2021)

Distance and force visualisations for improved simulation of intracranial aneurysm clipping. - Mareen Allgaier; Belal Neyazi; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2021)

Definition and extraction of 2D shape indices of intracranial aneurysm necks for rupture risk assessment. - Sarah Mittenentzwei; Oliver Beuing; Belal Neyazi; I. Erol Sandalcioglu; Naomi Larsen; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2021)

Complex wall modeling for hemodynamic simulations of intracranial aneurysms based on histologic images. - Annika Niemann; Samuel Voß; Riikka Tulamo; Simon Weigand; Bernhard Preim; Philipp Berg; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2021)

Virtual embolization for treatment support of intracranial AVMs using an interactive desktop and VR application. - Ulrike Sprengel; Patrick Saalfeld; Janneck Stahl; Sarah Mittenentzwei; Moritz Drittel; Benjamin Behrendt; Naoki Kaneko; Daniel Behme; Philipp Berg; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2021)

MedmeshCNN - Enabling meshcnn for medical surface models. - Lisa Schneider; Annika Niemann; Oliver Beuing; Bernhard Preim; Sylvia Saalfeld (Comput. Methods Programs Biomed., 2021)

Predicting Aneurysm Rupture with Deep Learning on 3D Models. - Annika Niemann; Bernhard Preim; Oliver Beuing; Sylvia Saalfeld (Bildverarbeitung für die Medizin, 2022)

VR-based training of craniotomy for intracranial aneurysm surgery. - Mareen Allgaier; Amir Amini; Belal Neyazi; I. Erol Sandalcioglu; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2022)

Self-calibration of C-arm imaging system using interventional instruments during an intracranial biplane angiography. - Negar Chabi; Domenico Iuso; Oliver Beuing; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2022)

A comparison of input devices for precise interaction tasks in VR-based surgical planning and training. - Mareen Allgaier; Vuthea Chheang; Patrick Saalfeld; Vikram Apilla; Tobias Huber; Florentine Huettl; Belal Neyazi; I. Erol Sandalcioglu; Christian Hansen 001; Bernhard Preim; Sylvia Saalfeld (Comput. Biol. Medicine, 2022)

Joint Liver and Hepatic Lesion Segmentation using a Hybrid CNN with Transformer Layers. - Georg Hille; Shubham Agrawal; Christian Wybranski; Maciej Pech; Alexey Surov; Sylvia Saalfeld (CoRR, 2022)

Cross-modality Training Approach for CT Super-resolution Network. - Wai Yan Ryana Fok; Andreas Fieselmann; Magdalena Herbst; Ludwig Ritschl; Marcel Beister; Steffen Kappler; Sylvia Saalfeld (Bildverarbeitung für die Medizin, 2023)

Geometric Deep Learning Vascular Domain Segmentation. - Robert Kreher; Annika Niemann; Libin Kutty; Viju Sudhi; Bernhard Preim; Daniel Behme; Sylvia Saalfeld (Bildverarbeitung für die Medizin, 2023)

Automatic Lung Nodule Segmentation in CT Imaging using an Improved 3D-Res2Unet. - Pavan Tummala; Georg Hille; Sylvia Saalfeld (Bildverarbeitung für die Medizin, 2023)

LiVRSono - Virtual Reality Training with Haptics for Intraoperative Ultrasound. - Mareen Allgaier; Florentine Huettl; Laura Isabel Hanke; Hauke Lang; Tobias Huber; Bernhard Preim; Sylvia Saalfeld; Christian Hansen 001 (ISMAR, 2023)

Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management. - Annika Niemann; Daniel Behme; Naomi Larsen; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2023)

Assessment of the flow-diverter efficacy for intracranial aneurysm treatment considering pre- and post-interventional hemodynamics. - Janneck Stahl; Laurel Morgan Miller Marsh; Maximilian Thormann; Andreas Ding; Sylvia Saalfeld; Daniel Behme; Philipp Berg (Comput. Biol. Medicine, 2023)

A hybrid hierarchical strategy for registration of 7T TOF-MRI to 7T PC-MRI intracranial vessel data. - Lena Spitz; Franziska Gaidzik; Daniel Stucht; Hendrik Mattern; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2023)

Joint liver and hepatic lesion segmentation in MRI using a hybrid CNN with transformer layers. - Georg Hille; Shubham Agrawal; Pavan Tummala; Christian Wybranski; Maciej Pech; Alexey Surov; Sylvia Saalfeld (Comput. Methods Programs Biomed., 2023)

Design of a virtual data shelf to effectively explore a large database of 3D medical surface models in VR. - Mareen Allgaier; Lena Spitz; D. Behme; A. Mpotsaris; Philipp Berg; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2023)

Multimodal exploration of the intracranial aneurysm wall. - Annika Niemann; Riikka Tulamo; Eliisa Netti; Bernhard Preim; Philipp Berg; Juan Raúl Cebral; Anne M. Robertson; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2023)

Advanced Deep Learning for Skin Histoglyphics at Cellular Level. - Robert Kreher; Naveeth Reddy Chitti; Georg Hille; Janine Hürtgen; Miriam Mengoni; Andreas Dominik Braun; Thomas Tüting; Bernhard Preim; Sylvia Saalfeld (Bildverarbeitung für die Medizin, 2024)

Gamification Concepts for a VR-based Visuospatial Training for Intraoperative Liver Ultrasound. - Mareen Allgaier; Florentine Huettl; Laura Isabel Hanke; Tobias Huber; Bernhard Preim; Sylvia Saalfeld; Christian Hansen 001 (CHI Extended Abstracts, 2024)

Deformable 3D/3D CT-to-digital-tomosynthesis image registration in image-guided bronchoscopy interventions. - Fatima Saad; Robert Frysch; Sylvia Saalfeld; Stephan Kellnberger; Jessica Schulz; Rebecca Fahrig; Krish Bhadra; Andreas Nürnberger; Georg Rose (Comput. Biol. Medicine, 2024)

A VR neurointerventional setup for catheter-based interventions focusing on visualizing the risk of radiation. - Marcus Streuber; Mareen Allgaier; Roland Schwab; Daniel Behme; Sylvia Saalfeld (Comput. Biol. Medicine, 2024)

Image-based hemodynamic simulations for intracranial aneurysms: the impact of complex vasculature. - Franziska Gaidzik; Jana Korte; Sylvia Saalfeld; Gábor Janiga; Philipp Berg (Int. J. Comput. Assist. Radiol. Surg., 2024)

Transformers for colorectal cancer segmentation in CT imaging. - Georg Hille; Pavan Tummala; Lena Spitz; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2024)

Assessment of intracranial aneurysm neck deformation after contour deployment. - Lena Spitz; Jana Korte; Franziska Gaidzik; Naomi Larsen; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2024)

Segmentation of Spinal Necrosis Zones in MRI. - Janine Hürtgen; Sylvia Saalfeld; Robert Kreher; Mathias Becker; Georg Rose; Georg Hille (Bildverarbeitung für die Medizin, 2025)

Multilabel segmentation and analysis of skeletal muscle and adipose tissue in routine abdominal CT scans. - Robert Kreher; Georg Hille; Bernhard Preim; Mattes Hinnerichs; Jan Borggrefe; Alexey Surov; Sylvia Saalfeld (Comput. Biol. Medicine, 2025)

Impact of workflow variability on image-based intracranial aneurysm hemodynamics. - Samuel Voß; Uli Niemann; Sylvia Saalfeld; Gábor Janiga; Philipp Berg (Comput. Biol. Medicine, 2025)