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Dental caries detection using a semi-supervised learning approach
(
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 ...
Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors
(
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 ...
An active learning method for diabetic retinopathy classification with uncertainty quantification
(
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 ...
Making federated learning robust to adversarial attacks by learning data and model association
(
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 ...
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey
(
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 ...
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
(
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 ...