Ahmed Ba-Ssalamah

According to our database, Ahmed Ba-Ssalamah authored at least 6 papers between 2020 and 2026.

Collaborative distances:

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

2026

Periductal iron-corrected T1 is a predictor of adverse outcomes in large-duct primary sclerosing cholangitis.

Emmanuel A. Selvaraj, Ahmed Ba-Ssalamah, Sarah Poetter-Lang, Bruno Paun, Gerard R. Ridgway, Cayden Beyer, Anneli Andersson, Michael Brady, Michele Pansini, Emma L. Culver, Adam Bailey, Michael Pavlides DPhil

BMC Medical Imaging, December, 2026

2025

MRI-derived quantification of hepatic vessel-to-volume ratios in chronic liver disease using a deep learning approach.

Alexander Herold, Daniel Sobotka, Lucian Beer, Nina Bastati, Sarah Poetter-Lang, Michael Weber, Thomas Reiberger, Mattias Mandorfer, Georg Semmler, Benedikt Simbrunner, Barbara D. Wichtmann, Sami Ba-Ssalamah, Michael Trauner, Ahmed Ba-Ssalamah, Georg Langs

CoRR, October, 2025

Identifying signatures of image phenotypes to track treatment response in liver disease.

Matthias Perkonigg, Nina Bastati, Ahmed Ba-Ssalamah, Peter Mesenbrink, Alexander Goehler, Miljen Martic, Xiaofei Zhou, Michael Trauner, Georg Langs

Artif. Intell. Medicine, 2025

2024

Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training.

Daniel Sobotka, Alexander Herold, Matthias Perkonigg, Lucian Beer, Nina Bastati, Alina Sablatnig, Ahmed Ba-Ssalamah, Georg Langs

Comput. Medical Imaging Graph., 2024

2021

Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies.

Matthias Perkonigg, Peter Mesenbrink, Alexander Goehler, Miljen Martic, Ahmed Ba-Ssalamah, Georg Langs

CoRR, 2021

2020

Unsupervised deep clustering for predictive texture pattern discovery in medical images.

Matthias Perkonigg, Daniel Sobotka, Ahmed Ba-Ssalamah, Georg Langs

CoRR, 2020