K. Bäumler

发表

Deep Learning-Based 3D Segmentation of True Lumen, False Lumen, and False Lumen Thrombosis in Type-B Aortic Dissection

Antonio Pepe, D. Fleischmann, M. Willemink, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Fluid–structure interaction simulations of patient-specific aortic dissection

A. Marsden, D. Fleischmann, F. Chan, 2020, Biomechanics and modeling in mechanobiology.

Shading Style Assessment for Vessel Wall and Lumen Visualization

Bernhard Preim, Gabriel Mistelbauer, Kathrin Bäumler, 2021, VCBM.

On the impact of vessel wall stiffness on quantitative flow dynamics in a synthetic model of the thoracic aorta

Fikunwa O. Kolawole, A. Marsden, D. Ennis, 2021, Scientific Reports.

Artificial Intelligence Applications in Aortic Dissection Imaging.

D. Fleischmann, M. Willemink, V. Sandfort, 2022, Seminars in roentgenology.

Inter-observer variability of expert-derived morphologic risk predictors in aortic dissection

H. Alkadhi, A. Stillman, A. Chin, 2022, European Radiology.

Drop rise velocities and fluid dynamic behavior in standard test systems for liquid/liquid extraction—experimental and numerical investigations

E. Bänsch, A. Paschedag, M. Wegener, 2011 .

Transient Rise Velocity and Mass Transfer of a Single Drop with InterfacialInstabilities-Numerical Investigations

M. Kraume, E. Bänsch, T. Eppinger, 2009 .

A short isoform of carcinoembryonic-antigen-related rat liver cell-cell adhesion molecule (C-CAM/gp110) mediates intercellular adhesion. Sequencing and recombinant functional analysis.

W. Reutter, K. Bäumler, L. Lucka, 1995, European journal of biochemistry.

A subspace projection method for the implementation of interface conditions in a single-drop flow problem

Eberhard Bänsch, Kathrin Bäumler, E. Bänsch, 2013, J. Comput. Phys..

A subspace projection method for the implementation of interface conditions in a two–phase flow problem

E. Bänsch, Von, K. Bäumler, 2012 .

Registry of Aortic Diseases to Model Adverse Events and Progression (ROADMAP) in Uncomplicated Type B Aortic Dissection: Study Design and Rationale.

H. Alkadhi, A. Stillman, D. Fleischmann, 2022, Radiology. Cardiothoracic imaging.

Computed Tomography Imaging Features in Acute Uncomplicated Stanford Type-B Aortic Dissection Predict Late Adverse Events

M. Dake, D. C. Miller, A. Chin, 2017, Circulation. Cardiovascular imaging.

Aortic Dissection Maps: Comprehensive Visualization of Aortic Dissections for Risk Assessment

Shannon Walters, Johanna Schmidt, Gabriel Mistelbauer, 2016, VCBM/MedViz.

Inter-observer variability of expert-derived morphologic risk predictors in aortic dissection

H. Alkadhi, A. Stillman, A. Chin, 2022, European Radiology.

Implicit Modeling of Patient‐Specific Aortic Dissections with Elliptic Fourier Descriptors

B. Preim, Christian Rössl, D. Fleischmann, 2021, Comput. Graph. Forum.

2 D SIMULATIONS OF INTERFACIAL INSTABILITIES AT DEFORMABLE SINGLE DROPLETS

E. Bänsch, A. Paschedag, M. Wegener, 2009 .

Transdisciplinary Visualization of Aortic Dissections

B. Preim, R. Raidou, D. Fleischmann, 2023 .

Fluid–structure interaction simulations of patient-specific aortic dissection

A. Marsden, D. Fleischmann, F. Chan, 2020, Biomechanics and Modeling in Mechanobiology.

Longitudinal Investigation of Aortic Dissection in Mice with Computational Fluid Dynamics

Evan H. Phillips, A. Marsden, C. Goergen, 2023, bioRxiv.

Hemodynamic Effects of Entry and Exit Tear Size in Aortic Dissection Evaluated with In Vitro Magnetic Resonance Imaging and Fluid-Structure Interaction Simulation

A. Marsden, D. Fleischmann, K. Bäumler, 2023, ArXiv.

Synthetic surface mesh generation of aortic dissections using statistical shape modeling

G. Mistelbauer, K. Bäumler, Kai Ostendorf, 2024, Comput. Graph..