Leveraging Pre-trained and Transformer-derived Embeddings from EHRs to Characterize Heterogeneity Across Alzheimer's Disease and Related Dementias

no code implementations • 30 Mar 2024 • Matthew West, Colin Magdamo, Lily Cheng, Yingnan He, Sudeshna Das

Alzheimer's disease is a progressive, debilitating neurodegenerative disease that affects 50 million people globally.

Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies

no code implementations • 2 May 2023 • Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steve Arnold, Colin Magdamo, Juan Eugenio Iglesias

Here we present the first method for cortical reconstruction, registration, parcellation, and thickness estimation for clinical brain MRI scans of any resolution and pulse sequence.

3D Reconstruction

Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets

1 code implementation • 5 Sep 2022 • Benjamin Billot, Colin Magdamo, You Cheng, Steven E. Arnold, Sudeshna Das, Juan. E. Iglesias

Every year, millions of brain MRI scans are acquired in hospitals, which is a figure considerably larger than the size of any research dataset.

Brain Segmentation Segmentation