Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
460-02-002 ISMRM Abstract

Predicting 3-years Alzheimer’s Disease progression using deep-learning based quantification of brain volumetry

Primary: Analysis Methods - Classification and Prediction
Secondary: Neuro - Alzheimer's Disease
460-02-002 · From Bench to Bedside: All About the Brain in Health and Alzheimer’s Disease · Tuesday, 12 May, 9:15 AM–10:10 AM · Digital Posters Row A
Keywords: Data Analysis Diagnosis/Prediction Modelling Neurodegeneration Deep Learning Segmentation
Accepted
Lina Bacha 1,2,3, Bénédicte Maréchal1,2,3, Punith Bidarakka Venkategowda4,5, Keerthi Prabhu M4, Jean-Philippe Thiran3, Jonathan A Disselhorst1,2,3, Alessandra Griffa6, Gilles Allali6, Tommaso Di Noto1,2,3
1Swiss Innovation Hub, Siemens Healthineers International AG, Lausanne, Switzerland
2Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
3LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
4Magnetic Resonance, Siemens Healthineers India, Bangalore, India
5International Institute of Information Technology Bangalore, Bangalore, India
6Leenards Memory Center, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
Presenting Author: Lina Bacha

Synopsis

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References

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Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/460-02-002