4 citations · 13 across the 7 of their papers we have counts for
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cs.CV2022★ 1 cited
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning
Saba Dadsetan, Mohsen Hejrati, Shandong Wu +1
Developing successful artificial intelligence systems in practice depends on both robust deep learning models and large, high-quality data. However, acquiring and labeling data can…
cs.LG2022★ 4 cited
DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications
Somaye Hashemifar, Claudia Iriondo, Evan Casey +2
The ability to predict the future trajectory of a patient is a key step toward the development of therapeutics for complex diseases such as Alzheimer's disease (AD). However, most…