Results 171 to 180 of about 124,232 (320)

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

, 2017
Junting Pan, Cristian Canton-­Ferrer, Kevin McGuinness, Noel E. O’Connor, Jordi Torres, Elisa Sayrol, Xavier Giró-i-Nieto   +6 more
openalex   +2 more sources

A Novel Semi‐Automated Pipeline for Optimizing 3D‐Printed Drug Formulations

Advanced Intelligent Systems, EarlyView.
A novel, semi‐automated deep learning and differential evolution pipeline designed for generating medicines for 3D‐printed medicines is introduced. This pipeline successfully generates a diverse range of drug formulations with an 80% printing success rate and 92% accuracy in predicting printing parameters.
Youssef Abdalla, Martin Ferianc, Haya Alfassam, Atheer Awad, Ruochen Qiao, Miguel Rodrigues, Mine Orlu, Abdul W. Basit, David Shorthouse   +8 more
wiley   +1 more source

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

, 2017
Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, Jimeng Sun   +5 more
openalex   +2 more sources

Voice Impersonation Using Generative Adversarial Networks [PDF]

, 2018
Yang Gao, Rita Singh, Bhiksha Raj
openalex   +1 more source

AKG‐VO: Adaptive Keyframe Generation Method for Improving Visual Odometry in Autonomous Vehicles

Advanced Intelligent Systems, EarlyView.
An adaptive keyframe generation method for pose estimation is proposed, incorporating optical flow‐based interframe gap estimation and video frame interpolation techniques. By limiting interframe gaps, meaningful keyframes are generated to enhance tracking reliability.
Donghyun Lee, I Made Putra Arya Winata, Beomsu Cho, Junghyun Oh   +3 more
wiley   +1 more source

Conditional generative adversarial network technology for OFDM system receiver signal detection. [PDF]

PLoS One
Liu Y, Liu P, Shi Y, Hao X.
europepmc   +1 more source

Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution

, 2017
Dwarikanath Mahapatra, Behzad Bozorgtabar   +1 more
openalex   +2 more sources

SAR TO OPTICAL IMAGE SYNTHESIS FOR CLOUD REMOVAL WITH GENERATIVE ADVERSARIAL NETWORKS [PDF]

, 2018
José David Bermúdez Castro, Patrick Nigri Happ, Dário Augusto Borges Oliveira, Raul Queiroz Feitosa   +3 more
openalex   +1 more source

RefineCatDiff: Toward High‐Quality Medical Image Segmentation via a Categorical Diffusion Refinement Framework

Advanced Intelligent Systems, EarlyView.
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu, Hongjian Yu, Jiaan Huang, Xin Hua, Hengjia Liu, Zhimian Ma, Zhen Wang, Zhijiang Du, Lining Sun   +8 more
wiley   +1 more source

A Multi-Property Optimizing Generative Adversarial Network for de novo Antimicrobial Peptide Design. [PDF]

Adv Sci (Weinh)
Liu J, Cui T, Wang T, Lin L, Zeng X, Lu D, Jiao S, Wang J, Li X, Xiao S, Xie D, Wang X, Wang Y, Shang X, Niu Y, Wei Z, Peng J.   +16 more
europepmc   +1 more source