| Robert Kreher, Annika Niemann, Libin Kutty, Viju Sudhi, Bernhard Preim, Daniel Behme, Sylvia Saalfeld Geometric Deep Learning Vascular Domain Segmentation Inproceedings Bildverarbeitung für die Medizin 2023, pp. 153-158, Springer Verlag, 2023. BibTeX | Links: @inproceedings{Kreher_2023_BVM,
title = {Geometric Deep Learning Vascular Domain Segmentation},
author = {Robert Kreher and Annika Niemann and Libin Kutty and Viju Sudhi and Bernhard Preim and Daniel Behme and Sylvia Saalfeld },
doi = {10.1007/978-3-658-41657-7_34},
year = {2023},
date = {2023-06-02},
booktitle = {Bildverarbeitung für die Medizin 2023},
volume = {Informatik aktuell},
pages = {153-158},
publisher = {Springer Verlag},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| Annika Niemann, Riikka Tulamo, Eliisa Netti, Bernhard Preim, Philipp Berg, Juan Cebral, Anne Robertson, Sylvia Saalfeld Multimodal exploration of the intracranial aneurysm wall Journal Article International Journal of Computer-Assisted Radiology and Surgery, 2023. BibTeX | Links: @article{Niemann_2023_IJCARS_a,
title = {Multimodal exploration of the intracranial aneurysm wall},
author = {Annika Niemann and Riikka Tulamo and Eliisa Netti and Bernhard Preim and Philipp Berg and Juan Cebral and Anne Robertson and Sylvia Saalfeld},
url = {https://link.springer.com/article/10.1007/s11548-023-02850-0},
year = {2023},
date = {2023-03-06},
journal = {International Journal of Computer-Assisted Radiology and Surgery},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Annika Niemann, Daniel Behme, Naomi Larsen, Bernhard Preim, Sylvia Saalfeld Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management Journal Article International Journal of Computer-Assisted Radiology and Surgery, 18 (3), pp. 517-525, 2023. BibTeX | Links: @article{Niemann_2023_IJCARS,
title = {Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management},
author = {Annika Niemann and Daniel Behme and Naomi Larsen and Bernhard Preim and Sylvia Saalfeld},
url = {https://link.springer.com/article/10.1007/s11548-022-02818-6},
year = {2023},
date = {2023-01-10},
journal = {International Journal of Computer-Assisted Radiology and Surgery},
volume = {18},
number = {3},
pages = {517-525},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Annika Niemann, Gabor Janiga, Bernhard Preim, Daniel Behme, Sylvia Saalfeld Centerline and blockstructure for fast structured mesh generation Journal Article Current Directions in Biomedical Engineering (CURAC 2022), 8 (1), pp. 13-16, 2022. BibTeX | Links: @article{Niemann_CURAC_2022,
title = {Centerline and blockstructure for fast structured mesh generation},
author = {Annika Niemann and Gabor Janiga and Bernhard Preim and Daniel Behme and Sylvia Saalfeld},
doi = {https://doi.org/10.1515/cdbme-2022-0004},
year = {2022},
date = {2022-09-15},
booktitle = {Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V.},
journal = {Current Directions in Biomedical Engineering (CURAC 2022)},
volume = {8},
number = {1},
pages = {13-16},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| Annika Niemann, Bernhard Preim, Oliver Beuing, Sylvia Saalfeld Predicting Aneurysm Rupture with Deep Learning on 3D Models Inproceedings Bildverarbeitung für die Medizin 2022, pp. 315-320, 2022. BibTeX | Links: @inproceedings{Niemann_BVM_2022,
title = {Predicting Aneurysm Rupture with Deep Learning on 3D Models},
author = {Annika Niemann and Bernhard Preim and Oliver Beuing and Sylvia Saalfeld},
doi = {https://doi.org/10.1007/978-3-658-36932-3_65},
year = {2022},
date = {2022-04-05},
booktitle = {Bildverarbeitung für die Medizin 2022},
pages = {315-320},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| Annika Niemann, Samuel Voss, R. Tulamo, S. Weigand, Bernhard Preim, Philippb Berg, Sylvia Saalfeld Complex wall modeling for hemodynamic simulations of intracranial aneurysms based on histologic images Journal Article International Journal of Computer Assisted Radiology and Surgery (IJCARS), 16 (4) , pp. 597-607, 2021. BibTeX @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}
}
|
 | Annika Niemann, Lisa Schneider, Bernhard Preim, Samuel Voß, Philipp Berg, Sylvia Saalfeld Towards deep learning-based wall shear stressprediction for intracranial aneurysms Inproceedings Proc. of Bildverarbeitung für die Medizin (BVM), pp. 105–110, 2021. BibTeX @inproceedings{Niemann_2021_BVM,
title = {Towards deep learning-based wall shear stressprediction for intracranial aneurysms},
author = {Annika Niemann and Lisa Schneider and Bernhard Preim and Samuel Voß and Philipp Berg and Sylvia Saalfeld},
year = {2021},
date = {2021-01-01},
booktitle = {Proc. of Bildverarbeitung für die Medizin (BVM)},
pages = {105--110},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Adarsh Kuzhipathalil, Anto Thomas, Keerthana Chand, Elmer Jeto Gomes Ataide, Alexander Link, Annika Niemann, Sylvia Saalfeld, Michael Friebe, Jens Ziegle A Machine Learning Approach Towards Fatty LiverDisease Detection In Liver Ultrasound Images Inproceedings Proc. of Bildverarbeitung für die Medizin (BVM), pp. 86–91, 2021. BibTeX @inproceedings{Kuzhipathalil_2021_BVM,
title = {A Machine Learning Approach Towards Fatty LiverDisease Detection In Liver Ultrasound Images},
author = {Adarsh Kuzhipathalil and Anto Thomas and Keerthana Chand and Elmer Jeto Gomes Ataide and Alexander Link and Annika Niemann and Sylvia Saalfeld and Michael Friebe and Jens Ziegle},
year = {2021},
date = {2021-01-01},
booktitle = {Proc. of Bildverarbeitung für die Medizin (BVM)},
pages = {86--91},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Annika Niemann, Anitha Talagini, Pavan Kandapagari, Bernhard Preim, Sylvia Saalfeld Tissue segmentation in histologic images of intracranial aneurysm wall Journal Article Interdisciplinary Neurosurgery, 26 , pp. 101307, 2021. BibTeX @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}
}
|
 | Lisa Schneider, Annika Niemann, Oliver Beuing, Bernhard Preim, Sylvia Saalfeld MedMeshCNN - Enabling MeshCNN for Medical Surface Models Journal Article Computer Methods and Programs in Biomedicine, 2021. BibTeX | Links: @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}
}
|
 | Annika Niemann, Simon Weigand, Thomas Hoffmann, Martin Skalej, Riikka Tulamo, Bernhard Preim, Sylvia Saalfeld Interactive exploration of a 3D intracranial aneurysm wall model extracted from histologic slices Journal Article International Journal of Computer Assisted Radiology and Surgery, 15 (1), pp. 99–107, 2020, ISSN: 1861-6429. Abstract | BibTeX | Links: @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}
}
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. |
| Annika Niemann, Bernhard Preim, Sylvia Saalfeld Shrinkingtube mesh: Combined mesh generation and smoothing for pathologic vessels Inproceedings 19. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. , 2020. BibTeX | Links: @inproceedings{Niemann_2020_CURAC_1,
title = {Shrinkingtube mesh: Combined mesh generation and smoothing for pathologic vessels},
author = {Annika Niemann and Bernhard Preim and Sylvia Saalfeld},
url = {https://www.vismd.de/wp-content/uploads/legacy/niemann_2020_curac_1.pdf, PDF Download},
year = {2020},
date = {2020-01-01},
booktitle = {19. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Annika Niemann, Naomi Larsen, Bernhard Preim, Sylvia Saalfeld Wall enhancement segmentation for intracranial aneuryms Inproceedings 19. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. , 2020. BibTeX | Links: @inproceedings{Niemann_2020_CURAC_2,
title = {Wall enhancement segmentation for intracranial aneuryms},
author = {Annika Niemann and Naomi Larsen and Bernhard Preim and Sylvia Saalfeld},
url = {https://www.vismd.de/wp-content/uploads/legacy/niemann_2020_curac_2.pdf, PDF Download},
year = {2020},
date = {2020-01-01},
booktitle = {19. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| Annika Niemann 3D-Visualisierung der zerebralen Aneurysmawand basierend auf histologischen 2D-Schnittbildern Masters Thesis Dept. of Computer Science, 2019. BibTeX @mastersthesis{Niemann_2019_Thesis,
title = {3D-Visualisierung der zerebralen Aneurysmawand basierend auf histologischen 2D-Schnittbildern},
author = {Annika Niemann},
year = {2019},
date = {2019-01-01},
school = {Dept. of Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
|
 | Sylvia Saalfeld, Philipp Berg, Annika Niemann, Maria Luz, Bernhard Preim, Oliver Beuing Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters Journal Article International Journal of Computer Assisted Radiology and Surgery, 13 (11), pp. 1781–1793, 2018, ISSN: 1861-6429. Abstract | BibTeX | Links: @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}
}
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. |
 | Uli Niemann, Philipp Berg, Annika Niemann, Oliver Beuing, Bernhard Preim, Myra Spiliopoulou, Sylvia Saalfeld Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters Inproceedings Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), pp. 48-53, 2018. BibTeX | Links: @inproceedings{Niemann_2018_CBMS,
title = {Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters},
author = {Uli Niemann and Philipp Berg and Annika Niemann and Oliver Beuing and Bernhard Preim and Myra Spiliopoulou and Sylvia Saalfeld},
url = {https://www.vismd.de/wp-content/uploads/legacy/niemann_2018_cbms.pdf, PDF Download},
doi = {10.1109/CBMS.2018.00016},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18)},
pages = {48-53},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| Annika Niemann Semi-Automatische Ostiumsdetektion zerebraler Aneurysmenmodelle Masters Thesis Dept. of Computer Science, 2017. BibTeX @mastersthesis{Niemann2017,
title = {Semi-Automatische Ostiumsdetektion zerebraler Aneurysmenmodelle},
author = {Annika Niemann},
year = {2017},
date = {2017-01-01},
school = {Dept. of Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
|
