Quo vadis artificial intelligence?

Y Jiang, X Li, H Luo, S Yin, O Kaynak - Discover Artificial Intelligence, 2022 - Springer
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …

When medical images meet generative adversarial network: recent development and research opportunities

X Li, Y Jiang, JJ Rodriguez-Andina, H Luo… - Discover Artificial …, 2021 - Springer
Deep learning techniques have promoted the rise of artificial intelligence (AI) and performed
well in computer vision. Medical image analysis is an important application of deep learning …

Fcfusion: Fractal componentwise modeling with group sparsity for medical image fusion

G Xu, X Deng, X Zhou, M Pedersen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Multimodal image fusion is the process of combing relevant biological information that can
be used for automated industrial application. In this article, we present a novel framework …

Playing against deep-neural-network-based object detectors: A novel bidirectional adversarial attack approach

X Li, Y Jiang, C Liu, S Liu, H Luo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In the fields of deep learning and computer vision, the security of object detection models
has received extensive attention. Revealing the security vulnerabilities resulting from …

EAOD‐Net: Effective anomaly object detection networks for X‐ray images

C Ma, L Zhuo, J Li, Y Zhang, J Zhang - IET Image Processing, 2022 - Wiley Online Library
Anomaly object detection is the core technology in the application for X‐ray images.
However, the accuracy of current X‐ray anomaly object detection method still needs to be …

An X-ray-based automatic welding defect detection method for special equipment system

F Zuo, J Liu, X Zhao, L Chen… - IEEE/ASME Transactions …, 2023 - ieeexplore.ieee.org
In the special equipment systems, welding quality assessment based on X-ray flaw detection
is related to the industrial production safety. As a key component in weld quality monitoring …

Risk management of smart healthcare systems: Delimitation, state-of-arts, process, and perspectives

Y Liu - Journal of Patient Safety and Risk Management, 2022 - journals.sagepub.com
Sensing, communication, computation, and control technologies are facilitating smart
healthcare to improve efficiency and effectiveness of medical treatment and care. This study …

Integrated method for grading diagnosis of dental fluorosis combined with segmentation and classification

M Gu, Y Wu, Z Jiang, H Xu - Biomedical Signal Processing and Control, 2024 - Elsevier
Endemic fluorosis is chronic fluorosis caused by excessive accumulation of fluorine in the
body. The early symptom of fluoride toxicity is dental fluorosis. In severe cases of poisoning …

Predicting COVID-19 Cases on a Large Chest X-Ray Dataset Using Modified Pre-trained CNN Architectures

A Karac - Applied Computer Systems, 2023 - sciendo.com
Therefore, it has had very destructive effects in many areas worldwide. Because X-ray
images are an easily accessible, fast, and inexpensive method, they are widely used …

Yapay Zekânın Toplumsal Karşılığı ve Karşıtlığı Üzerine Bir Derleme

E Avcı - Yalova Sosyal Bilimler Dergisi, 2024 - dergipark.org.tr
This article summarizes the societal impacts of artificial intelligence technology, how society
has responded to this technology, what the social and economic consequences of artificial …