Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
562-03-009 ISMRM Abstract

Superficial Siderosis Detection and Localization Using Simulation and Guided Backpropagation

Primary: Neuro - Aging
Secondary: Analysis Methods - Classification and Prediction
562-03-009 · Machine Learning in Neuroimaging · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row C
Keywords: CONVOLUTIONAL NEURAL NETWORK Superficial Siderosis Feature Response Maps Guided Backpropagation Superficial siderosis simulation
Accepted
Mohammadreza Amirian 1,2,3, Lucas Burget1,2,3, Bianca Mazini2, Silvia Pistocchi2, Giulia Bommarito4, Vincent Dunet2, Gilles Allali4, Hagen H Kitzler5, Bénédicte Maréchal1,2,3, Jonathan A Disselhorst1,2,3
1Swiss Innovation Hub, Siemens Healthineers International AG, Lausanne, Switzerland
2Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
3LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
4Leenaards Memory Centre, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
5Diagnostic and Interventional Neuroradiology, Technical University of Dresden, Dresden, Germany
Presenting Author: Mohammadreza Amirian

Synopsis

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References

1. Weidauer, S., Neuhaus, E. & Hattingen, E. Cerebral Superficial Siderosis. Clin Neuroradiol 33, 293–306 (2023). DOI: 10.1007/s00062-022-01231-5 [doi]
2. Cogswell PM, Andrews TJ, Barakos JA, et al. Alzheimer Disease Anti-Amyloid Immunotherapies: Imaging Recommendations and Practice Considerations for Monitoring of Amyloid-Related Imaging Abnormalities. AJNR Am J Neuroradiol. 2025;46(1):24-32. DOI:10.3174/ajnr.A8469 [doi]
3. Springenberg J. T., Dosovitskiy A., Brox T., Riedmiller M. Striving for Simplicity: The All Convolutional Net. In: Proceedings of the 3rd International Conference on Learning Representations (ICLR 2015) Workshop Track. DOI: 10.48550/arXiv.1412.6806 [doi]
4. Billot B., Greve D. N., Puonti O., Thielscher A., Van Leemput K., Fischl B., Dalca A. V., Iglesias J. E. SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining. In: Medical Image Analysis, 2023; 83: 102789. DOI:10.1016/j.media.2023.102789. [doi]
5. Liu S, Deng W. Very Deep Convolutional Neural Network Based Image Classification Using Small Training Sample Size. In: Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition (ACPR 2015), Kuala Lumpur, Malaysia, 2015, pp. 730-734. DOI: 10.1109/ACPR.2015.7486599 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/562-03-009