5 papers
Geometry Fidelity for Spherical Images
Anders Christensen, Nooshin Mojab, Khushman Patel +5
Spherical or omni-directional images offer an immersive visual format appealing to a wide range of computer vision applications. However, geometric properties of spherical images p…
CvS: Classification via Segmentation For Small Datasets
Nooshin Mojab, Philip S. Yu, Joelle A. Hallak +1
Deep learning models have shown promising results in a wide range of computer vision applications across various domains. The success of deep learning methods relies heavily on the…
I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications
Nooshin Mojab, Vahid Noroozi, Abdullah Aleem +8
Data from clinical real-world settings is characterized by variability in quality, machine-type, setting, and source. One of the primary goals of medical computer vision is to deve…
Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings
Nooshin Mojab, Vahid Noroozi, Darvin Yi +4
With promising results of machine learning based models in computer vision, applications on medical imaging data have been increasing exponentially. However, generalizations to com…
Leveraging Semi-Supervised Learning for Fairness using Neural Networks
Vahid Noroozi, Sara Bahaadini, Samira Sheikhi +2
There has been a growing concern about the fairness of decision-making systems based on machine learning. The shortage of labeled data has been always a challenging problem facing…