3 papers
q-bio.NC2024
SynapsNet: Enhancing Neuronal Population Dynamics Modeling via Learning Functional Connectivity
Parsa Delavari, Ipek Oruc, Timothy H Murphy
The availability of large-scale neuronal population datasets necessitates new methods to model population dynamics and extract interpretable, scientifically translatable insights.…
cs.CV2023
Artificial intelligence as a gateway to scientific discovery: Uncovering features in retinal fundus images
Parsa Delavari, Gulcenur Ozturan, Ozgur Yilmaz +1
Purpose: Convolutional neural networks can be trained to detect various conditions or patient traits based on retinal fundus photographs, some of which, such as the patient sex, ar…
cs.CV2022
Learning from few examples: Classifying sex from retinal images via deep learning
Aaron Berk, Gulcenur Ozturan, Parsa Delavari +3
Deep learning has seen tremendous interest in medical imaging, particularly in the use of convolutional neural networks (CNNs) for developing automated diagnostic tools. The facili…