| Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters S Saalfeld, P Berg, A Niemann, M Luz, B Preim, O Beuing International journal of computer assisted radiology and surgery 13, 1781-1793, 2018 | 32 | 2018 |
| MedmeshCNN-Enabling meshcnn for medical surface models L Schneider, A Niemann, O Beuing, B Preim, S Saalfeld Computer Methods and Programs in Biomedicine 210, 106372, 2021 | 23 | 2021 |
| Rupture status classification of intracranial aneurysms using morphological parameters U Niemann, P Berg, A Niemann, O Beuing, B Preim, M Spiliopoulou, ... 2018 IEEE 31st International Symposium on Computer-Based Medical Systems …, 2018 | 22 | 2018 |
| Complex wall modeling for hemodynamic simulations of intracranial aneurysms based on histologic images A Niemann, S Voß, R Tulamo, S Weigand, B Preim, P Berg, S Saalfeld International Journal of Computer Assisted Radiology and Surgery 16, 597-607, 2021 | 9 | 2021 |
| Interactive exploration of a 3D intracranial aneurysm wall model extracted from histologic slices A Niemann, S Weigand, T Hoffmann, M Skalej, R Tulamo, B Preim, ... International Journal of Computer Assisted Radiology and Surgery 15, 99-107, 2020 | 7 | 2020 |
| Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management A Niemann, D Behme, N Larsen, B Preim, S Saalfeld International Journal of Computer Assisted Radiology and Surgery 18 (3), 517-525, 2023 | 5 | 2023 |
| Tissue segmentation in histologic images of intracranial aneurysm wall A Niemann, A Talagini, P Kandapagari, B Preim, S Saalfeld Interdisciplinary Neurosurgery 26, 101307, 2021 | 3 | 2021 |
| Multimodal exploration of the intracranial aneurysm wall A Niemann, R Tulamo, E Netti, B Preim, P Berg, J Cebral, A Robertson, ... International journal of computer assisted radiology and surgery 18 (12 …, 2023 | 2 | 2023 |
| Towards deep learning-based wall shear stress prediction for intracranial aneurysms A Niemann, L Schneider, B Preim, S Voß, P Berg, S Saalfeld Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021 | 1 | 2021 |
| Geometric Deep Learning Vascular Domain Segmentation R Kreher, A Niemann, L Kutty, V Sudhi, B Preim, D Behme, S Saalfeld BVM Workshop, 153-158, 2023 | | 2023 |
| Impact of the COVID-19 Pandemic Regulations on the Health Status and Medical Care of Children with Trisomy 21 A Niemann, A Boudriot, B Brett, C Fritzsch, D Götz, R Haase, S Höhne, ... Klinische Pädiatrie 235 (01), 31-37, 2023 | | 2023 |
| Centerline and blockstructure for fast structured mesh generation A Niemann, G Janiga, B Preim, D Behme, S Saalfeld Current Directions in Biomedical Engineering 8 (1), 13-16, 2022 | | 2022 |
| Predicting Aneurysm Rupture with Deep Learning on 3D Models A Niemann, B Preim, O Beuing, S Saalfeld Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | | 2022 |
| Multimodal analysis of intracranial aneurysm walls A Niemann | | 2022 |
| A Machine Learning Approach Towards Fatty Liver Disease Detection in Liver Ultrasound Images A Kuzhipathalil, A Thomas, K Chand, EJ Gomes Ataide, A Link, ... Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021 | | 2021 |
| Wall enhancement segmentation for intracranial aneurysm A Niemann, N Larsen, B Preim, S Saalfeld Current Directions in Biomedical Engineering 6 (1), 20200045, 2020 | | 2020 |
| Shrinking tube mesh: combined mesh generation and smoothing for pathologic vessels A Niemann, B Preim, S Saalfeld Current Directions in Biomedical Engineering 6 (1), 20200035, 2020 | | 2020 |
| Interdisciplinary Neurosurgery: Advanced Techniques and Case Management SG Ojemann | | 2017 |
