41 citations · 162 across the 47 of their papers we have counts for
6 papers · 1 filter
Ophthalmic Biomarker Detection: Highlights from the IEEE Video and Image Processing Cup 2023 Student Competition
Ghassan AlRegib, Mohit Prabhushankar, Kiran Kokilepersaud +5
The VIP Cup offers a unique experience to undergraduates, allowing students to work together to solve challenging, real-world problems with video and image processing techniques. I…
Intelligent Multi-View Test Time Augmentation
Efe Ozturk, Mohit Prabhushankar, Ghassan AlRegib
In this study, we introduce an intelligent Test Time Augmentation (TTA) algorithm designed to enhance the robustness and accuracy of image classification models against viewpoint v…
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
Mohit Prabhushankar, Kiran Kokilepersaud, Yash-yee Logan +3
Clinical diagnosis of the eye is performed over multifarious data modalities including scalar clinical labels, vectorized biomarkers, two-dimensional fundus images, and three-dimen…
DECAL: DEployable Clinical Active Learning
Yash-yee Logan, Mohit Prabhushankar, Ghassan AlRegib
Conventional machine learning systems that operate on natural images assume the presence of attributes within the images that lead to some decision. However, decisions in medical d…
MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation
Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
In this paper, we train independent linear decoder models to estimate the perceived quality of images. More specifically, we calculate the responses of individual non-overlapping i…
Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework
Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
In this paper, we introduce an adaptive unsupervised learning framework, which utilizes natural images to train filter sets. The applicability of these filter sets is demonstrated…