CvS: Classification via Segmentation For Small Datasets

no code implementations • 29 Oct 2021 • Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi

The success of deep learning methods relies heavily on the availability of a large amount of data.

Classification

AutoPtosis

no code implementations • 7 Jun 2021 • Abdullah Aleem, Manoj Prabhakar Nallabothula, Pete Setabutr, Joelle A. Hallak, Darvin Yi

Blepharoptosis, or ptosis as it is more commonly referred to, is a condition of the eyelid where the upper eyelid droops.

I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications

no code implementations • 30 Mar 2021 • Nooshin Mojab, Vahid Noroozi, Abdullah Aleem, Manoj P. Nallabothula, Joseph Baker, Dimitri T. Azar, Mark Rosenblatt, RV Paul Chan, Darvin Yi, Philip S. Yu, Joelle A. Hallak

In this paper, we present a new multi-modal longitudinal ophthalmic imaging dataset, the Illinois Ophthalmic Database Atlas (I-ODA), with the goal of advancing state-of-the-art computer vision applications in ophthalmology, and improving upon the translatable capacity of AI based applications across different clinical settings.

Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings

no code implementations • 24 Jul 2020 • Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Phillip S. Yu, Joelle A. Hallak

However, real-world data is different and translations are yielding varying results.

Representation Learning Transfer Learning