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Medical applications of generative adversarial network: a visualization analysis
Acta Radiologica, 2023Background Deep learning (DL) is one of the latest approaches to artificial intelligence. As an unsupervised DL method, a generative adversarial network (GAN) can be used to synthesize new data. Purpose To explore GAN applications in ...
Fan Zhang +3 more
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A Sr87m generator for medical applications
The International Journal of Applied Radiation and Isotopes, 1965A Sr87m generator for producing millicurie quantities of carrier-free, radiochemically pure Sr87m suitable for medical use is described. The parent activity Y87 was produced in the ORNL 86-in. cyclotron by the Sr87(p, n)Y87 reaction with a yield of 8.4 mc hr−1 at a beam current of 86 μA. The Y87 was isolated by carrying it with ferric hydroxide.
J F, ALLEN, J J, PINAJIAN
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Computer generated images for medical applications
ACM SIGGRAPH Computer Graphics, 1978Two computer graphics systems for the presentation of biomedical information for diagnosis and treatment planning are described. Both systems presented utilize computer tomographic (CT) data as input. One of the systems produces three-dimensional surface representations of organs and anatomical features found within the body.
Alexander Sunguroff, Donald P. Greenberg
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Generative AI in Medical Imaging: Applications, Challenges, and Ethics
Journal of Medical Systems, 2023Medical imaging is playing an important role in diagnosis and treatment of diseases. Generative artificial intelligence (AI) have shown great potential in enhancing medical imaging tasks such as data augmentation, image synthesis, image-to-image translation, and radiology report generation.
Mohamad Koohi-Moghadam, Kyongtae Ty Bae
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Easy Medic: an Internet application for the general practitioner
Journal of Telemedicine and Telecare, 1998A research project has been carried out to develop a client server application which supplies the general practitioner (GP) with a ‘personal digital assistant’ (hand-held mobile computer)to connect to Web servers at a hospital site through the Internet.
ARNONE G +5 more
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Generating Context-Awarness Interface for Medical Applications
2011 Developments in E-systems Engineering, 2011The openEHR norm is advising the quality of care delivered by a health information system (HIS). In fact, it offers an archetype-based approach allowing storing and communicating of patient information in a safe and reliable way. However, HIS has to face the problem of multiplication resource and diversity of use.
Fahmi Kallel +2 more
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Microwave generator for scientific and medical applications
AIP Conference Proceedings, 2012Nowadays power microwave radiation is widely used in medical applications as hyperthermia, diathermy or ablation and for scientific applications such as plasma generation, digestion, or as a catalyst in green chemistry. Nevertheless, designing a suitably adapted microwave generator that meets both the scientific and the more restrictive medical ...
V. Surducan +4 more
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Multimodal Deep Generative Models for Remote Medical Applications
Proceedings of the AAAI Conference on Artificial Intelligence, 2023Visible-to-Thermal (VT) face translation is an under-studied problem of image-to-image translation that offers an AI-enabled alternative to traditional thermal sensors. Over three phases, my Doctoral Proposal explores developing multimodal deep generative solutions that can be applied towards telemedicine applications. These include the contribution of
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Generative AI for medical imaging analysis and applications
Future Medicine AI, 2023Generative AI plays a pivotal role in medical imaging analysis, enabling precise diagnosis, treatment planning and disease monitoring. Techniques like generative adversarial networks (GANs) and variational autoencoders (VAEs) enhance medical imaging by generating synthetic images, improving reconstruction, segmentation and facilitating disease ...
Tanmai Sree Musalamadugu +1 more
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