Automated deep learning segmentation of high-resolution 7 tesla postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative …

P Khandelwal, MT Duong, S Sadaghiani, S Lim… - Imaging …, 2024 - direct.mit.edu
Postmortem MRI allows brain anatomy to be examined at high resolution and to link
pathology measures with morphometric measurements. However, automated segmentation …

Associations of phosphorylated tau pathology with whole‐hemisphere ex vivo morphometry in 7 tesla MRI

S Sadaghiani, W Trotman, SA Lim… - Alzheimer's & …, 2023 - Wiley Online Library
Introduction Neurodegenerative disorders are associated with different pathologies that
often co‐occur but cannot be measured specifically with in vivo methods. Methods Thirty …

[HTML][HTML] Deep learning-based automated detection and segmentation of bone and traumatic bone marrow lesions from MRI following an acute ACL tear

CE Stirling, NJ Neeteson, REA Walker… - Computers in Biology and …, 2024 - Elsevier
Introduction Traumatic bone marrow lesions (BML) are frequently identified on knee MRI
scans in patients following an acute full-thickness, complete ACL tear. BMLs coincide with …

Automated deep learning segmentation of high-resolution 7 T postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative …

P Khandelwal, MT Duong, S Sadaghiani, S Lim… - arxiv preprint arxiv …, 2023 - arxiv.org
Postmortem MRI allows brain anatomy to be examined at high resolution and to link
pathology measures with morphometric measurements. However, automated segmentation …