Results 201 to 210 of about 219,974 (297)

Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity. [PDF]

Front Med (Lausanne)
Arockia Selvarathinam ALXR, Anbalagan N, Srinivasu PN, Choi J, Ijaz MF.   +4 more
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Ninja optimization algorithm based ultra wideband antenna electromagnetic band gap modeling via a generative adversarial network. [PDF]

Sci Rep
Alhussan AA, Khafaga DS, El-Kenawy EM, Abdelhamid AA, Ibrahim A, Singla MK, Gupta J, Gupta A, Thakur E, Eid MM.   +9 more
europepmc   +1 more source

Improving Implied Volatility Forecasts for American Options Using Neural Networks

Journal of Futures Markets, EarlyView.
ABSTRACT This paper explores the application of neural networks to improve pricing of American options. Focusing on both American and European options on the S&P 100 index from January 2016 to August 2023, we integrate neural networks to model the difference between market‐implied and model‐implied volatilities derived from the Black‐Scholes and Heston
Haitong Jiang, Emese Lazar, Miriam Marra
wiley   +1 more source

Improving stain normalization for digital histological image analysis based on the cycle generative adversarial network identity loss model. [PDF]

Digit Health
Chen JT, Lin YY, Pai TW.
europepmc   +1 more source

Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives

Health Care Science, EarlyView.
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley   +1 more source

Normalizing images in various weather and lighting conditions using ColorPix2Pix generative adversarial network. [PDF]

Sci Rep
Tasnim S, Mostafa AM, Morshed A, Shaiyaz N, Dipto SM, Aloteibi S, Moni MA, Alam MGR, Alam MA.   +8 more
europepmc   +1 more source

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

Head &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong   +10 more
wiley   +1 more source

Optimized auxiliary classifier Wasserstein generative adversarial network fostered skin cancer classification from dermoscopic images. [PDF]

Sci Rep
Rajalakshmi R, Qin H, Sivakumar P, Rajakumar A, Prathiba T, Elangovan M.   +5 more
europepmc   +1 more source

Progress of metabolomics‐centric multi‐omics research in medicine

iMetaOmics, EarlyView.
The graphical abstract illustrates a holistic roadmap for metabolomics‐centric multi‐omics integration in medical research. The upper panel depicts the technological transition from traditional bulk analysis to high‐resolution single‐cell and spatial methodologies, specifically addressing inherent challenges such as molecular complexity and dynamic ...
Ziyi Wang, Shiwen Deng, Xiaoxu Wang, Xiao Chang, Na Guo, Peng Chen, Hongjun Yang   +6 more
wiley   +1 more source