92 citations · 117 across the 7 of their papers we have counts for
10 papers
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting
Muhammad Ali Chattha, Ludger van Elst, Muhammad Imran Malik +2
End-to-end data-driven machine learning methods often have exuberant requirements in terms of quality and quantity of training data which are often impractical to fulfill in real-w…
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…
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…
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…
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…
A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC)
Muhammad Nabeel Asima, Muhammad Imran Malik, Andreas Dengela +1
Functional or non-coding RNAs are attracting more attention as they are now potentially considered valuable resources in the development of new drugs intended to cure several human…