Nasreddin Abolmaali

According to our database, Nasreddin Abolmaali authored at least 9 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Suitability of DNN-based vessel segmentation for SIRT planning.

Farina Kock, Felix Thielke, Nasreddin Abolmaali, Hans Meine, Andrea Schenk

Int. J. Comput. Assist. Radiol. Surg., February, 2024

2023

Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation.

Felix Thielke, Farina Kock, Annika Hänsch, Nasreddin Abolmaali, Andrea Schenk, Hans Meine

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Abstract: Liver Tumor Segmentation in Late-phase MRI using Multi-model Training and an Anisotropic U-Net.

Annika Gerken, Grzegorz Chlebus, Hans Meine, Felix Thielke, Farina Kock, Tobias Paulus, Nasreddin Abolmaali, Andrea Schenk

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Improving deep learning based liver vessel segmentation using automated connectivity analysis.

Felix Thielke, Farina Kock, Annika Hänsch, Joachim Georgii, Nasreddin Abolmaali, Itaru Endo, Hans Meine, Andrea Schenk

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2019

Multimodal image registration for liver radioembolization planning and patient assessment.

Nadine Spahr, Smita Thoduka, Nasreddin Abolmaali, Ron Kikinis, Andrea Schenk

Int. J. Comput. Assist. Radiol. Surg., 2019

2018

Landmark-based evaluation of a deformable motion correction for DCE-MRI of the liver.

Jan Strehlow, Nadine Spahr, Jan Rühaak, Hendrik Laue, Nasreddin Abolmaali, Tobias Preusser, Andrea Schenk

Int. J. Comput. Assist. Radiol. Surg., 2018

2012

Self-reproduction versus Transition Rules in Ant Colonies for Medical Volume Segmentation.

Robert Haase, Hans-Joachim Böhme, Rosalind Perrin, Klaus Zöphel, Nasreddin Abolmaali

Proceedings of the Swarm Intelligence - 8th International Conference, 2012

2011

Swarm Intelligence for Medical Volume Segmentation: The Contribution of Self-reproduction.

Robert Haase, Hans-Joachim Böhme, Daniel Zips, Nasreddin Abolmaali

Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

2010

Comment on "Developing DCE-CT to Quantify Intra-Tumor Heterogeneity in Breast Tumors With Differing Angiogenic Phenotype".

Andrij Abramyuk, Gunter Wolf, Volker Hietschold, Ulrike Haberland, Joerg van den Hoff, Nasreddin Abolmaali

IEEE Trans. Medical Imaging, 2010