Search Results for author: Melvin J. Mathew

Found 2 papers, 0 papers with code

Relative Afferent Pupillary Defect Screening through Transfer Learning

no code implementations6 Aug 2019 Dogancan Temel, Melvin J. Mathew, Ghassan AlRegib, Yousuf M. Khalifa

Based on the conducted experiments, proposed algorithm RAPDNet can achieve a sensitivity and a specificity of 90. 6% over 64 test cases in a balanced set, which corresponds to an AUC of 0. 929 in ROC analysis.

Benchmarking Object Recognition +2

Automated Pupillary Light Reflex Test on a Portable Platform

no code implementations21 May 2019 Dogancan Temel, Melvin J. Mathew, Ghassan AlRegib, Yousuf M. Khalifa

In this paper, we introduce a portable eye imaging device denoted as lab-on-a-headset, which can automatically perform a swinging flashlight test.

Specificity

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