Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images

26 February 2019

Shiníchi Satoh

Papers citing "Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images"

31 / 31 papers shown

Title
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 101 34 0 17 Jun 2024
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets L. Rundo Changhee Han Yudai Nagano Jin Zhang Ryuichiro Hataya ... M. Gilardi Salvatore Vitabile G. Mauri Hideki Nakayama P. Cazzaniga 33 233 0 17 Apr 2019
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection Changhee Han L. Rundo Ryosuke Araki Yujiro Furukawa G. Mauri Hideki Nakayama Hideaki Hayashi MedIm 51 91 0 29 Mar 2019
A Three-Player GAN: Generating Hard Samples To Improve Classification Networks Simon Vandenhende Bert De Brabandere D. Neven Luc Van Gool GAN 26 22 0 08 Mar 2019
Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks Oleksandr Bailo D. Ham Y. Shin GAN MedIm 44 59 0 18 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 513 10,500 0 12 Dec 2018
Towards generative adversarial networks as a new paradigm for radiology education S. G. Finlayson Hyunkwang Lee I. Kohane Luke Oakden-Rayner GAN MedIm 57 25 0 04 Dec 2018
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks Hoo-Chang Shin Neil A. Tenenholtz Jameson K. Rogers C. Schwarz M. Senjem J. Gunter Katherine P. Andriole Mark H. Michalski MedIm 77 538 0 26 Jul 2018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 71 185 0 11 Jun 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 98 21,306 0 08 Apr 2018
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond Xi Ouyang Yu Cheng Yi Ding Chun-Liang Li Pan Zhou GAN 59 73 0 05 Apr 2018
BAGAN: Data Augmentation with Balancing GAN G. Mariani Florian Scheidegger R. Istrate C. Bekas A. Malossi 47 311 0 26 Mar 2018
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification Maayan Frid-Adar I. Diamant Eyal Klang Michal Amitai Jacob Goldberger H. Greenspan GAN MedIm 64 1,554 0 03 Mar 2018
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks Tao Xu Pengchuan Zhang Qiuyuan Huang Han Zhang Zhe Gan Xiaolei Huang Xiaodong He GAN ViT 97 1,710 0 28 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 120 1,069 0 12 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 109 7,318 0 27 Oct 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 150 9,509 0 31 Mar 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 96 529 0 17 Jan 2017
Learning from Simulated and Unsupervised Images through Adversarial Training A. Shrivastava Tomas Pfister Oncel Tuzel J. Susskind Wenda Wang Russ Webb GAN 83 1,800 0 22 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 300 19,560 0 21 Nov 2016
Learning What and Where to Draw Scott E. Reed Zeynep Akata S. Mohan Samuel Tenka Bernt Schiele Honglak Lee DRL GAN 57 618 0 08 Oct 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 231 10,646 0 15 Sep 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 200 8,615 0 15 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 407 8,999 0 10 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 234 13,968 0 19 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 421 61,900 0 04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.3K 76,547 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 365 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.0K 149,474 0 22 Dec 2014
Generative Adversarial Networks Ian Goodfellow Jean Pouget-Abadie M. Berk Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio GAN 130 2,191 0 10 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 380 16,962 0 20 Dec 2013