Results 151 to 160 of about 128,746 (262)

Enhanced classification prostate cancer based on generative adversarial networks and integrated deep learning with vision transformer models. [PDF]

Sci Rep
Salama WM, Aly MH.
europepmc   +1 more source

Multimodal MRI synthesis using unified generative adversarial networks

, 2020
Xianjin Dai, Yang Lei, Yabo Fu, Walter J. Curran, Tian Liu, Hui Mao, Xiaofeng Yang   +6 more
openalex   +2 more sources

A Deep Neural Network Based on Two‐Stage Training for Estimating Heart Rate Variability From Camera Videos

Health Care Science, EarlyView.
Heart Rate Variability Estimation from Camera Videos ABSTRACT Background Studies have shown that heart rate variability (HRV) is a predictor of the prognosis of cardiovascular diseases. Contact heartbeat monitoring equipment is widely used, especially in hospitals, and benefits from the rapidity and accuracy of the detection of physiological health ...
Lan Lan, Jin Yin, Haohan Zhang, Hua Jiang, Rui Qin, Xia Zhao, Yu Zhang, Yilong Wang, Jiajun Qiu   +8 more
wiley   +1 more source

Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm. [PDF]

Psychometrika
Luo N, Ji F.
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

Detection of unseen malware threats using generative adversarial networks and deep learning models. [PDF]

Sci Rep
Joshi C, Kumar J, Kumawat G.
europepmc   +1 more source

Automatic Modeling Method of Support Behavior for Work Support System Based on Variational Deep Embedding–Generative Adversarial Networks

, 2020
Kohjiro Hashimoto, Tadashi Miyosawa, Tetsuyasu Yamada   +2 more
openalex   +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

Generative Adversarial Networks in Dermatology: A Narrative Review of Current Applications, Challenges, and Future Perspectives. [PDF]

Bioengineering (Basel)
Izu-Belloso RM, Ibarrola-Altuna R, Rodriguez-Alonso A.   +2 more
europepmc   +1 more source

CamoGAN: Evolving optimum camouflage with Generative Adversarial Networks [PDF]

, 2019
László Tálas, John Fennell, Karin Kjernsmo, Innes C. Cuthill, Nicholas E. Scott‐Samuel, Roland Baddeley   +5 more
openalex   +1 more source