Results 191 to 200 of about 43,961 (294)

A generative adversarial network to improve integrated mode proton imaging resolution using paired proton-carbon data. [PDF]

Med Phys
Simard M, Fullarton R, Volz L, Schuy C, Chung S, Baker C, Graeff C, Fekete CC.   +7 more
europepmc   +1 more source

Facial expression recognition for emotion perception: A comprehensive science mapping

Ibrain, EarlyView.
Facial expression recognition (FER) has emerged as a pivotal interdisciplinary research domain, bridging computer science, psychology, neuroscience, and medicine. By mapping the FER scientific knowledge graph, the study aimed to explore the technological evolution and forecast future application trends in this field.
Hou‐Ming Kan, Li‐Ping Chen, Yu Zhang, Hao‐Yuan Hong, Ying‐Ying Qin, Yu‐Guo Cui, Yu‐Bo Mao, Yan‐Zhi Cheng, Zhe Lu, Hong‐Yan Ni, Xiao‐Tong Ding   +10 more
wiley   +1 more source

Objective Evaluation of Small Bowel Visualization Quality in Wireless Capsule Endoscopy Images Using Generative Adversarial Network. [PDF]

Adv Biomed Res
Sadeghi V, Behdad M, Afrah R, Vard A, Seyedi SA, Sharifi M, Mehridehnavi A.   +6 more
europepmc   +1 more source

Organoids and organ‐on‐a‐chip models for investigating the pathophysiology of the human reproductive system

Interdisciplinary Medicine, EarlyView.
Organoids and organ‐on‐a‐chips are advancing reproductive system research. In the female reproductive system, applications include cancer organoid models, placental chips, and hormone simulation models. For the male reproductive system, research focuses on drug resistance mechanisms, co‐culture platforms, and infertility studies. These refined in vitro
Hongqi Zhang, Shiwen Deng, Fangfang Jin, Jiayao Qu, Xiang Fan, Peng Chen, Xinrong Fan   +6 more
wiley   +1 more source

Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network. [PDF]

Sci Rep
Zhang C, Guo Z, Li C.
europepmc   +1 more source

Restoration of marker occluded hematoxylin and eosin stained whole slide\n histology images using generative adversarial networks [PDF]

, 2019
Bairavi Venkatesh, Tosha Shah, Antong Chen, Soheil Ghafurian   +3 more
openalex   +1 more source

Exploring a Novel Conv‐Transformer Network for Multi‐Modality Heart Segmentation

iRADIOLOGY, EarlyView.
We propose SFAM‐TransUnet for multimodality whole heart segmentation, a novel deep learning framework combining CNNs and transformers. Extensive experiments conducted on the clinical Multi‐Modality Whole Heart Segmentation datasets demonstrate that SFAM‐TransUnet outperforms various alternative methods.
Youyou Ding, Hao Dang, Jiayi Luo, Xiaoyu Zhuo, Ningyu Huang, Junsheng Xiao, Zongwang Lv   +6 more
wiley   +1 more source

Tabular transformer generative adversarial network for heterogeneous distribution in healthcare. [PDF]

Sci Rep
Kang HYJ, Ko M, Ryu KS.
europepmc   +1 more source

Generative adversarial network

, 2019
Matt Adams, Arlene Campos, Dimitrios Toumpanakis   +2 more
openaire   +1 more source

Virtual Magnetic Resonance Elastography Using a Deep Generative Model for Liver Fibrosis Staging

iRADIOLOGY, EarlyView.
The proposed Registration‐based Generative Adversarial Network‐Convolutional Block Attention Module (RegGAN‐CBAM) model efficiently and reliably generates virtual MR elastography using diffusion weighted imaging. Strong correlation between virtual and native MR elastography for liver stiffness and viscosity are observed.
Longyu Sun, Yikun Wang, Yan Li, Xumei Hu, Wenyue Mao, Mengting Sun, Zian Wang, Fuhua Yan, Ruokun Li, Chengyan Wang   +9 more
wiley   +1 more source