4 citations · 8 across the 5 of their papers we have counts for
6 papers
Fully Automated Artery-Vein ratio and vascular tortuosity measurement in retinal fundus images
Aashis Khanal, Rolando Estrada
Accurate measurements of abnormalities like Artery-Vein ratio and tortuosity in fundus images is an actively researched task. Most of the research seems to compute such features in…
Deep Active Learning Using Barlow Twins
Jaya Krishna Mandivarapu, Blake Camp, Rolando Estrada
The generalisation performance of a convolutional neural networks (CNN) is majorly predisposed by the quantity, quality, and diversity of the training images. All the training data…
Fully Automated Tree Topology Estimation and Artery-Vein Classification
Aashis Khanal, Saeid Motevali, Rolando Estrada
We present a fully automatic, graph-based technique for extracting the retinal vascular topology -- that is, how different vessels are connected to each other -- given a single col…
Optic Disc Segmentation using Disk-Centered Patch Augmentation
Saeid Motevali, Aashis Khanal, Rolando Estrada
The optic disc is a crucial diagnostic feature in the eye since changes to its physiognomy is correlated with the severity of various ocular and cardiovascular diseases. While iden…
Dynamic Deep Networks for Retinal Vessel Segmentation
Aashis Khanal, Rolando Estrada
Segmenting the retinal vasculature entails a trade-off between how much of the overall vascular structure we identify vs. how precisely we segment individual vessels. In particular…
Self-Net: Lifelong Learning via Continual Self-Modeling
Blake Camp, Jaya Krishna Mandivarapu, Rolando Estrada
Learning a set of tasks over time, also known as continual learning (CL), is one of the most challenging problems in artificial intelligence. While recent approaches achieve some d…