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Alzheimer's Association International Conference 2026
July 12-15, 2026 | London, United Kingdom, and Online
4696
Forecasting Alzheimer’s Disease Conversion Using Time-Aware Deep-Learning-Based Brain Morphometry
Poster Presenter
Authors
Lina Bacha, Bénédicte Maréchal, Punith B. Venkategowda, Keerthi M. Prabhu, Jean-Philippe Thiran, Jonathan Disselhorst, Alessandra Griffa, Gilles Allali, Tommaso Di Noto
Affiliations
Swiss Innovation Hub, Siemens Healthineers International AG, Lausanne, Switzerland, Siemens Healthcare Pvt. Ltd., Bangalore, India, Signal Processing Lab 5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, Leenaards Memory Center, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
Part of Topic
Our work highlights the potential of volumetric Z-scores as standardized biomarkers to reliably predict AD conversion across different follow-up periods.
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