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A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans.
In Medical image analysis
Szeskin Adi, Yehuda Roei, Shmueli Or, Levy Jaime, Joskowicz Leo
CNN deep learning, Column-based OCT scattering, OCT scan analysis, Retinal atrophy in dry age-related macular degeneration
In Computer methods and programs in biomedicine
Modanwal Gourav, Vellal Adithya, Mazurowski Maciej A
CycleGAN, Deep learning, MRI intensity normalization, Medical image translation, Vendor normalization
Upregulation of miR-210-5p impairs dead cell clearance by macrophages through the inhibition of Sp1-and HSCARG-dependent NADPH oxidase pathway.
In Free radical biology & medicine
Wu Yi-Hsuan, Kuo Chang-Fu, Hsieh Ao-Ho, Hsieh Hsi-Lung, Chan Yen-Fan, Hwang Tsong-Long
Dead cell clearance, NOX signaling, Systemic lupus erythematosus, miR-210–5p
Development and Performance of a CD8 Gene Signature for Characterizing Inflammation in the Tumor Microenvironment Across Multiple Tumor Types.
In The Journal of molecular diagnostics : JMD
Szabo Peter M, Pant Saumya, Ely Scott, Desai Keyur, Anguiano Esperanza, Wang Lisu, Edwards Robin, Green George, Zhang Nancy
GANDA: A deep generative adversarial network conditionally generates intratumoral nanoparticles distribution pixels-to-pixels.
In Journal of controlled release : official journal of the Controlled Release Society
Tang Yuxia, Zhang Jiulou, He Doudou, Miao Wenfang, Liu Wei, Li Yang, Lu Guangming, Wu Feiyun, Wang Shouju
Artificial intelligence, Deep generative model, Deep learning, Generative adversarial network, Nanoparticles
Funding sources: NoneUse of convolutional neural networks for the detection of u-serrated patterns in direct immunofluorescence images to facilitate the diagnosis of epidermolysis bullosa acquisita.
In The American journal of pathology ; h5-index 54.0
Shi Chenyu, Meijer Joost M, Azzopardi George, Diercks Gilles F H, Guo Jiapan, Petkov Nicolai
Convolutional neural network, direct immunofluorescence, epidermolysis bullosa acquisita, machine learning, pemphigoid, serration pattern analysis