Browsing Computer Science & Engineering by Author "Qayyum, Adnan"
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An active learning method for diabetic retinopathy classification with uncertainty quantification
Ahsan, Muhammad Ahtazaz; Qayyum, Adnan; Razi, Adeel; Qadir, Junaid ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)In recent years, deep learning (DL) techniques have provided state-of-the-art performance in medical imaging. However, good quality (annotated) medical data is in general hard to find due to the usually high cost of medical ... -
Dental caries detection using a semi-supervised learning approach
Qayyum, Adnan; Tahir, Ahsen; Butt, Muhammad Atif; Luke, Alexander; Abbas, Hasan Tahir; Qadir, Junaid; Arshad, Kamran; Assaleh, Khaled; Imran, Muhammad Ali; Abbasi, Qammer H.... more authors ... less authors ( Nature Research , 2023 , Article)Early diagnosis of dental caries progression can prevent invasive treatment and enable preventive treatment. In this regard, dental radiography is a widely used tool to capture dental visuals that are used for the detection ... -
Explainable, trustworthy, and ethical machine learning for healthcare: A survey
Rasheed, Khansa; Qayyum, Adnan; Ghaly, Mohammed; Al-Fuqaha, Ala; Razi, Adeel; Qadir, Junaid... more authors ... less authors ( Elsevier , 2022 , Article Review)With the advent of machine learning (ML) and deep learning (DL) empowered applications for critical applications like healthcare, the questions about liability, trust, and interpretability of their outputs are raising. The ... -
Making federated learning robust to adversarial attacks by learning data and model association
Qayyum, Adnan; Janjua, Muhammad Umar; Qadir, Junaid ( Elsevier , 2022 , Article)One of the key challenges in federated learning (FL) is the detection of malicious parameter updates. In a typical FL setup, the presence of malicious client(s) can potentially demolish the overall training of the shared ... -
Privacy-preserving artificial intelligence in healthcare: Techniques and applications
Khalid, Nazish; Qayyum, Adnan; Bilal, Muhammad; Al-Fuqaha, Ala; Qadir, Junaid ( Elsevier , 2023 , Article Review)There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. Despite substantial ... -
Quantum Computing for Healthcare: A Review
Ur Rasool, Raihan; Ahmad, Hafiz F.; Rafique, Wajid; Qayyum, Adnan; Qadir, Junaid; Anwar, Zahid... more authors ... less authors ( MDPI , 2023 , Article Review)In recent years, the interdisciplinary field of quantum computing has rapidly developed and garnered substantial interest from both academia and industry due to its ability to process information in fundamentally different ... -
Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
Rasool, Raihan Ur; Ahmad, Hafiz Farooq; Rafique, Wajid; Qayyum, Adnan; Qadir, Junaid ( Elsevier , 2022 , Article Review)Internet of Medical Things (IoMT) supports traditional healthcare systems by providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It enables the development of smart hardware as ... -
Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors
Qayyum, Adnan; Sultani, Waqas; Shamshad, Fahad; Tufail, Rashid; Qadir, Junaid ( Elsevier , 2022 , Article)Retinal images acquired using fundus cameras are often visually blurred due to imperfect imaging conditions, refractive medium turbidity, and motion blur. In addition, ocular diseases such as the presence of cataracts also ... -
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
Butt, Muhammad Atif; Qayyum, Adnan; Ali, Hassan; Al-Fuqaha, Ala; Qadir, Junaid ( Elsevier , 2023 , Article)The use of artificial intelligence (AI) at the edge is transforming every aspect of the lives of human beings from scheduling daily activities to personalized shopping recommendations. Since the success of AI is to be ... -
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey
Qayyum, Adnan; Ilahi, Inaam; Shamshad, Fahad; Boussaid, Farid; Bennamoun, Mohammed; Qadir, Junaid... more authors ... less authors ( IEEE Computer Society , 2023 , Article)In recent years, advancements in machine learning (ML) techniques, in particular, deep learning (DL) methods have gained a lot of momentum in solving inverse imaging problems, often surpassing the performance provided by ...