Meiyu Li

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All published works

Action	Title	Year	Authors
+ PDF Chat	DC‐AL GAN: Pseudoprogression and true tumor progression of glioblastoma multiform image classification based on DCGAN and AlexNet	2019	Meiyu Li Hailiang Tang Michael D. Chan Xiaobo Zhou Xiaohua Qian

Common Coauthors

Coauthor	Papers Together
Hailiang Tang	1
Xiaobo Zhou	1
Michael D. Chan	1
Xiaohua Qian	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+ PDF Chat	Low Incidence of Pseudoprogression by Imaging in Newly Diagnosed Glioblastoma Patients Treated With Cediranib in Combination With Chemoradiation	2013	Marco C. Pinho Pavlina Polaskova Jayashree Kalpathy‐Cramer Dominique Jennings Kyrre E. Emblem Rakesh K. Jain Bruce R. Rosen Patrick Y. Wen A. Gregory Sorensen Tracy T. Batchelor	1
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	1
+	Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks	2015	Jost Tobias Springenberg	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning	2016	Hoo-Chang Shin Holger R. Roth Mingchen Gao Le Lü Ziyue Xu Isabella Nogues Jianhua Yao Daniel J. Mollura Ronald M. Summers	1
+	Classification of Alzheimer's Disease using fMRI Data and Deep Learning Convolutional Neural Networks	2016	Saman Sarraf Ghassem Tofighi	1
+ PDF Chat	Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?	2016	Nima Tajbakhsh Jae Y. Shin Suryakanth R. Gurudu R. Todd Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang	1
+	Semi-Supervised Learning with Generative Adversarial Networks	2016	Augustus Odena	1
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	1
+	Classification of Alzheimer's Disease Structural MRI Data by Deep Learning Convolutional Neural Networks	2016	Saman Sarraf Ghassem Tofighi	1
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	1
+	Synthetic Medical Images from Dual Generative Adversarial Networks	2017	John Guibas Tejpal S. Virdi Peter S. Li	1
+ PDF Chat	Generative Adversarial Networks: An Overview	2018	Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran Biswa Sengupta Anil A. Bharath	1
+	Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification	2018	Zilong Zhong Jonathan Li	1
+	Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty	2019	Anthony Perez Swetava Ganguli Stefano Ermon George Azzari Marshall Burke David B. Lobell	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	1