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20162026
most citedTwo-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

92 citations · 117 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

SLUM-i: Semi-supervised Learning for Urban Mapping of Informal Settlements and Data Quality Benchmarking

Muhammad Taha Mukhtar, Syed Musa Ali Kazmi, Khola Naseem +5

Very-high-resolution remote-sensing imagery provides a scalable basis for delineating informal settlements, but sparse annotations, severe imbalance between informal-settlement and…

cs.CV2024

A Perspective Analysis of Handwritten Signature Technology

Moises Diaz, Miguel A. Ferrer, Donato Impedovo +3

Handwritten signatures are biometric traits at the center of debate in the scientific community. Over the last 40 years, the interest in signature studies has grown steadily, havin…

cs.CV202010 cited

Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection

Muhammad Naseer Bajwa, Yoshinobu Taniguchi, Muhammad Imran Malik +3

Visual artefacts of early diabetic retinopathy in retinal fundus images are usually small in size, inconspicuous, and scattered all over retina. Detecting diabetic retinopathy requ…

cs.CV202092 cited

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui +4

With the advancement of powerful image processing and machine learning techniques, CAD has become ever more prevalent in all fields of medicine including ophthalmology. Since optic…

cs.CV2016

A Generic Method for Automatic Ground Truth Generation of Camera-captured Documents

Sheraz Ahmed, Muhammad Imran Malik, Muhammad Zeshan Afzal +4

The contribution of this paper is fourfold. The first contribution is a novel, generic method for automatic ground truth generation of camera-captured document images (books, magaz…