no code implementations • 4 Apr 2024 • Sayantan Kumar, Sean Yu, Andrew Michelson, Thomas Kannampallil, Philip Payne
Discussion: Clinically informative model explanations anticipate cognitive decline 6 months in advance, aiding clinicians in future disease progression assessment.
no code implementations • 4 Apr 2024 • Sayantan Kumara, Thomas Earnest, Braden Yang, Deydeep Kothapalli, Tammie L. S. Benzinger, Brian A. Gordon, Philip Payne, Aristeidis Sotiras
ADS individuals with moderate or severe dementia showed higher proportion of regional outliers for each modality as well as more dissimilarity in modality-specific regional outlier patterns compared to ADS individuals with early or mild dementia.
no code implementations • 2 Dec 2023 • Sayantan Kumar, Philip Payne, Aristeidis Sotiras
Normative models in neuroimaging learn the brain patterns of healthy population distribution and estimate how disease subjects like Alzheimer's Disease (AD) deviate from the norm.
no code implementations • 6 Jul 2023 • Bing Xue, Ahmed Sameh Said, Ziqi Xu, Hanyang Liu, Neel Shah, Hanqing Yang, Philip Payne, Chenyang Lu
TVAE is specifically designed to address the modeling challenges like ECMO with strong treatment selection bias and scarce treatment cases.
no code implementations • 31 Jan 2022 • Sayantan Kumar, Zachary Abrams, Suzanne Schindler, Nupur Ghoshal, Philip Payne
Our results indicate both inter-subtype variability, which indicates the variability amongst dementia subtypes for a particular component score even with the same CDR and (ii) intra-subtype variability, which indicates the variation in the 6 component scores within a particular dementia subtype.
no code implementations • 10 Oct 2021 • Sayantan Kumar, Philip Payne, Aristeidis Sotiras
However, existing deep learning based normative models on multimodal MRI data use unimodal autoencoders with a single encoder and decoder that may fail to capture the relationship between brain measurements extracted from different MRI modalities.