In the past decade, the application of machine learning (ML) to healthcare has helped drive
the automation of physician tasks as well as enhancements in clinical capabilities and …

Energy storage is one of the core concepts demonstrated incredibly remarkable
effectiveness in various energy systems. Energy storage systems are vital for maximizing the …

Image reconstruction is an inverse problem that solves for a computational image based on
sampled sensor measurement. Sparsely sampled image reconstruction poses additional …

The automatic diagnosis of various retinal diseases from fundus images is important to
support clinical decision-making. However, developing such automatic solutions is …

The paper focuses on the negative aspects of artificial intelligence in higher education such
as biases in the datasets and algorithms, plagiarism, factual incorrectness …

This paper introduces a novel approach for medical image reclamation, specifically focusing
on enhancing chest image resolution. The proposed method introduces the Dual-Tree …

The healthcare industry is increasingly exploring the potential of artificial intelligence (AI) to
improve patient outcomes, improve operational efficiency and reduce costs. This article …

Remarkable advances in single cell genomics have presented unique challenges and
opportunities for interrogating a wealth of biomedical inquiries. High dimensional genomic …

Accurate and efficient dose calculation is an important prerequisite to ensure the success of
radiation therapy. However, all the dose calculation algorithms commonly used in current …

Deep learning-based diagnosis is becoming an indispensable part of modern healthcare.
For high-performance diagnosis, the optimal design of deep neural networks (DNNs) is a …