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Assessing the ability of generative adversarial networks to learn canonical medical image statistics

26 April 2022

Papers citing "Assessing the ability of generative adversarial networks to learn canonical medical image statistics"

20 / 20 papers shown

Title
Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images David Wong Bin Wang Gorkem Durak Marouane Tliba M. A. Kerkouri ... Amir Borhani Hatice Savas Eric Hart Elizabeth A. Krupinski Ulas Bagci OOD MedIm 168 0 0 21 Apr 2025
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 98 339 0 03 Aug 2021
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images Sun-Beom Hong Razvan Marinescu Adrian Dalca A. Bonkhoff Martin Bretzner N. Rost Polina Golland MedIm 50 59 0 20 Jul 2021
Impact of deep learning-based image super-resolution on binary signal detection Xiaohui Zhang Varun A. Kelkar Jason L. Granstedt Hua Li M. Anastasio MedIm 52 23 0 06 Jul 2021
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation August DuMont Schütte J. Hetzel S. Gatidis Tobias Hepp Benedikt Dietz Stefan Bauer Patrick Schwab MedIm 90 70 0 29 Nov 2020
Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images Sagar Kora Venu MedIm 52 47 0 02 Sep 2020
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction Changhee Han L. Rundo K. Murao T. Noguchi Yuki Shimahara Z. '. Milacski S. Koshino Evis Sala Hideki Nakayama Shinichi Satoh MedIm 151 166 0 24 Jul 2020
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks Sayantan Bhadra Weimin Zhou M. Anastasio MedIm GAN 55 28 0 27 Jan 2020
Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks Weimin Zhou M. Anastasio 47 21 0 26 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 104 840 0 20 Jan 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 334 5,832 0 03 Dec 2019
Unsupervised Medical Image Translation Using Cycle-MedGAN Karim Armanious Chenming Jiang Sherif Abdulatif Thomas Kustner S. Gatidis Bin Yang MedIm 114 114 0 08 Mar 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 645 10,605 0 12 Dec 2018
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE) Chenyu You Guang Li Yi Zhang Xiaoliu Zhang Hongming Shan ... Zhuiyang Zhang W. Cong Michael W. Vannier P. Saha Ge Wang MedIm GAN SupR 79 405 0 10 Aug 2018
Learning Implicit Generative Models by Teaching Explicit Ones Chao Du Kun Xu Chongxuan Li Jun Zhu Bo Zhang DRL GAN 47 9 0 10 Jul 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging Xiaoran Chen Nick Pawlowski Martin Rajchl Ben Glocker E. Konukoglu OOD MedIm 65 49 0 14 Jun 2018
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 85 2,112 0 17 Jan 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 488 9,076 0 10 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 435 18,361 0 27 May 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,444 0 02 Dec 2015