activity
20202024
most citedTwo-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

92 citations · 111 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Block Induced Signature Generative Adversarial Network (BISGAN): Signature Spoofing Using GANs and Their Evaluation

Haadia Amjad, Kilian Goeller, Steffen Seitz +4

Deep learning is actively being used in biometrics to develop efficient identification and verification systems. Handwritten signatures are a common subset of biometric data for au…

cs.AI2022

ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions

Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun +3

One principal impediment in the successful deployment of AI-based Computer-Aided Diagnosis (CAD) systems in clinical workflows is their lack of transparent decision making. Althoug…

cs.AI20207 cited

Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems

Adriano Lucieri, Muhammad Naseer Bajwa, Andreas Dengel +1

Remarkable success of modern image-based AI methods and the resulting interest in their applications in critical decision-making processes has led to a surge in efforts to make suc…

eess.IV20202 cited

G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection

Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier +3

Scarcity of large publicly available retinal fundus image datasets for automated glaucoma detection has been the bottleneck for successful application of artificial intelligence to…

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…