1 code implementation • 14 Nov 2023 • JingRu Fu, Daniel Ferreira, Örjan Smedby, Rodrigo Moreno
In this study, we propose a deformation-based morphometry framework to estimate normal aging and AD-specific atrophy patterns of subjects from morphological MRI scans.
no code implementations • 21 May 2023 • Mehdi Astaraki, Francesca De Benetti, Yousef Yeganeh, Iuliana Toma-Dasu, Örjan Smedby, Chunliang Wang, Nassir Navab, Thomas Wendler
This work intends to, first, propose a robust inpainting model to learn the details of healthy anatomies and reconstruct high-resolution images by preserving anatomical constraints.
no code implementations • 29 Dec 2020 • Simone Bendazzoli, Irene Brusini, Mehdi Astaraki, Mats Persson, Jimmy Yu, Bryan Connolly, Sven Nyrén, Fredrik Strand, Örjan Smedby, Chunliang Wang
Segmentation of COVID-19 lesions from chest CT scans is of great importance for better diagnosing the disease and investigating its extent.