@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{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{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{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{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{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{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{Saalfeld_2018_IJCARS,

title = {Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters},

author = {Sylvia Saalfeld and Philipp Berg and Annika Niemann and Maria Luz and Bernhard Preim and Oliver Beuing},

url = {https://www.vismd.de/wp-content/uploads/legacy/saalfeld_2018_ijcars.pdf, PDF Download},

doi = {10.1007/s11548-018-1848-x},

issn = {1861-6429},

year  = {2018},

date = {2018-11-01},

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

volume = {13},

number = {11},

pages = {1781--1793},

abstract = {Morphological parameters of intracranial aneurysms (IAs) are well established for rupture risk assessment. However, a manual measurement is error-prone, not reproducible and cumbersome. For an automatic extraction of morphological parameters, a 3D neck curve reconstruction approach to delineate the aneurysm from the parent vessel is required.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}