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Denoising Score Matching via Random Fourier Features
IEEE Access, 2022 The density estimation is one of the core problems in statistics. Despite this, existing techniques like maximum likelihood estimation are computationally inefficient in case of complex parametric families due to the intractability of the normalizing ...
Olga Tsymboi +3 more
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Applications of Artificial Intelligence in Medical Imaging
, 2023 Artificial intelligence (AI) plays an important role in the field of medical image analysis, including computer-aided diagnosis, image-guided therapy, image registration, image segmentation, image annotation, image fusion, and retrieval of image ...
Subasi, Abdulhamit
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Artificial Intelligence (AI) Ethics
Journal of Database Management, 2020 Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy,
Keng Siau, Weiyu Wang
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Breast tumor detection in ultrasound images using artificial intelligence
, 2023 Leveraging artificial intelligence (AI) for categorizing breast tumors as malignant or benign from breast ultrasound images can provide an effective and relatively low-cost method for the diagnosis of breast cancer.
Subasi, Abdulhamit, Modi, Omkar
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Artificial Intelligence in Brain Computer Interface
, 2022 A brain-computer interface (BCI) is a connection path among brain and an external device. Motor imagery (MI) is proven to be a useful cognitive technique for enhancing motor skills as well as for movement disorder rehabilitation therapy. It is known that
Subasi, Abdulhamit
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Hippocampal representations for deep learning on Alzheimer’s disease
Scientific Reports, 2022 Deep learning offers a powerful approach for analyzing hippocampal changes in Alzheimer’s disease (AD) without relying on handcrafted features. Nevertheless, an input format needs to be selected to pass the image information to the neural network, which ...
Ignacio Sarasua +2 more
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Women in Artificial intelligence (AI) [PDF]
, 2022 This Special Issue, entitled "Women in Artificial Intelligence" includes 17 papers from leading women scientists. The papers cover a broad scope of research areas within Artificial Intelligence, including machine learning, perception, reasoning or ...
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Deep-learning model for screening sepsis using electrocardiography
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 2021 Background Sepsis is a life-threatening organ dysfunction and a major healthcare burden worldwide. Although sepsis is a medical emergency that requires immediate management, screening for the occurrence of sepsis is difficult.
Joon-myoung Kwon +10 more
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Findings: The Potential Future Risks of AI [PDF]
, 2023 Report explaining some of the potential risks associated with the future of artificial intelligence (AI) advancements to advise the U.S. President and the White House National AI Initiative Office (NAIIO)
National Artificial Intelligence Advisory Committee
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, 2019 Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community.
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