Search Results for author: Aashis Khanal

Found 6 papers, 2 papers with code

Fully Automated Artery-Vein ratio and vascular tortuosity measurement in retinal fundus images

no code implementations4 Jan 2023 Aashis Khanal, Rolando Estrada

This paper is a follow-up paper on vessel topology estimation and extraction, we use the extracted topology to perform A-V state-of-the-art Artery-Vein classification, AV ratio calculation, and vessel tortuosity measurement, all fully automated.

Fully Automated Tree Topology Estimation and Artery-Vein Classification

no code implementations4 Feb 2022 Aashis Khanal, Saeid Motevali, Rolando Estrada

We also performed several ablation studies to separately verify the importance of the segmentation and AV labeling steps of our proposed method.

Anatomy Classification

Optic Disc Segmentation using Disk-Centered Patch Augmentation

no code implementations1 Oct 2021 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.

Optic Disc Segmentation

Peering Beyond the Gradient Veil with Distributed Auto Differentiation

no code implementations18 Feb 2021 Bradley T. Baker, Aashis Khanal, Vince D. Calhoun, Barak Pearlmutter, Sergey M. Plis

We introduce an innovative, communication-friendly approach for training distributed DNNs, which capitalizes on the outer-product structure of the gradient as revealed by the mechanics of auto-differentiation.


Dynamic Deep Networks for Retinal Vessel Segmentation

4 code implementations19 Mar 2019 Aashis Khanal, Rolando Estrada

To address this limitation, we propose a novel, stochastic training scheme for deep neural networks that better classifies the faint, ambiguous regions of the image.

Retinal Vessel Segmentation

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