Results 181 to 190 of about 124,232 (320)
Conditional Generative Adversarial Networks for Emoji Synthesis with Word Embedding Manipulation
Dianna Radpour, Vivek Bheda
openalex +2 more sources
In summary, a self‐supervised end‐to‐end framework for OCT image despeckling is proposed, without access to unpaired noisy–clean images or paired noisy–noisy images for training. The despeckling performance has been evaluated on 150 subjects from five retina datasets (121 subjects) and one middle ear dataset (29 subjects). Optical coherence tomography (
Zhiyi Jiang +3 more
wiley +1 more source
Normalizing images in various weather and lighting conditions using ColorPix2Pix generative adversarial network. [PDF]
Tasnim S +8 more
europepmc +1 more source
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network [PDF]
Renato Hermoza, Ivan Sipiran
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AI‐Driven Microphysiological Systems for Advancing Nanoparticle Therapeutics
This review outlines recent advances in integrating artificial intelligence with microphysiological systems for nanoparticle evaluation. It highlights data‐driven optimization, image‐based prediction, and AI‐enabled analysis frameworks that advance translational research and support the development of personalized nanomedicine. Nanoparticles (NPs) play
Yedam Lee +3 more
wiley +1 more source
Stochastic reconstruction of an oolitic limestone by generative adversarial networks
Lukas Mosser +2 more
openalex +2 more sources
Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin +9 more
wiley +1 more source
A generative adversarial network to improve integrated mode proton imaging resolution using paired proton-carbon data. [PDF]
Simard M +7 more
europepmc +1 more source

