2 papers
cs.CV2026
Self-supervised Disentanglement of Disease Effects from Aging in 3D Medical Shapes
Jakaria Rabbi, Nilanjan Ray, Dana Cobzas
Disentangling pathological changes from physiological aging in 3D medical shapes is crucial for developing interpretable biomarkers and patient stratification. However, this separa…
cs.CV2024
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning
Jakaria Rabbi, Johannes Kiechle, Christian Beaulieu +2
This paper presents a comprehensive study focused on disentangling hippocampal shape variations from diffusion tensor imaging (DTI) datasets within the context of neurological diso…