4 citations · 13 across the 5 of their papers we have counts for
5 papers
Speaking the Same Language: Leveraging LLMs in Standardizing Clinical Data for AI
Arindam Sett, Somaye Hashemifar, Mrunal Yadav +2
The implementation of Artificial Intelligence (AI) in the healthcare industry has garnered considerable attention, attributable to its prospective enhancement of clinical outcomes,…
Multiclass Semantic Segmentation to Identify Anatomical Sub-Regions of Brain and Measure Neuronal Health in Parkinson's Disease
Hosein Barzekar, Hai Ngu, Han Hui Lin +6
Automated segmentation of anatomical sub-regions with high precision has become a necessity to enable the quantification and characterization of cells/ tissues in histology images.…
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease
Fatemeh Haghighi, Soumitra Ghosh, Hai Ngu +5
Parkinson's Disease (PD) is the second most common neurodegenerative disease in humans. PD is characterized by the gradual loss of dopaminergic neurons in the Substantia Nigra (SN)…
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…
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…