Annika Niemann

Orcid: 0000-0001-8774-814X

According to our database1, Annika Niemann authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Multimodal exploration of the intracranial aneurysm wall.
Int. J. Comput. Assist. Radiol. Surg., December, 2023

Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management.
Int. J. Comput. Assist. Radiol. Surg., March, 2023

Geometric Deep Learning Vascular Domain Segmentation.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
Predicting Aneurysm Rupture with Deep Learning on 3D Models.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
MedmeshCNN - Enabling meshcnn for medical surface models.
Comput. Methods Programs Biomed., 2021

Complex wall modeling for hemodynamic simulations of intracranial aneurysms based on histologic images.
Int. J. Comput. Assist. Radiol. Surg., 2021

Towards Deep Learning-based Wall Shear Stress Prediction for Intracranial Aneurysms.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

A Machine Learning Approach Towards Fatty Liver Disease Detection in Liver Ultrasound Images.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
Interactive exploration of a 3D intracranial aneurysm wall model extracted from histologic slices.
Int. J. Comput. Assist. Radiol. Surg., 2020

2018
Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters.
Int. J. Comput. Assist. Radiol. Surg., 2018

Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018


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