Zhuonan He

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction 2017 Jo Schlemper
José Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
2
+ PDF Chat Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network 2017 Hu Chen
Yi Zhang
Mannudeep K. Kalra
Feng Lin
Yang Chen
Peixi Liao
Jiliu Zhou
Ge Wang
2
+ PDF Chat Low-dose CT reconstruction via edge-preserving total variation regularization 2011 Zhen Tian
Xun Jia
Kehong Yuan
Tinsu Pan
Steve Jiang
2
+ PDF Chat Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction 2015 Zhifang Zhan
Jian‐Feng Cai
Di Guo
Yunsong Liu
Zhong Chen
Xiaobo Qu
2
+ A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction 2017 Eun‐Hee Kang
Junhong Min
Jong Chul Ye
2
+ Learning a variational network for reconstruction of accelerated MRI data 2017 Kerstin Hammernik
Teresa Klatzer
Erich Kobler
Michael P. Recht
Daniel K. Sodickson
Thomas Pock
Florian Knöll
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat MR Image Reconstruction Using Deep Density Priors 2018 Kerem Can Tezcan
Christian F. Baumgartner
Roger Luechinger
Klaas P. Pruessmann
Ender Konukoğlu
2
+ PDF Chat Deep Convolutional Neural Network for Inverse Problems in Imaging 2017 Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
Michaël Unser
2
+ The Bayesian Approach to Inverse Problems 2015 Masoumeh Dashti
Andrew M. Stuart
1
+ Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 2015 Alec Radford
Luke Metz
Soumith Chintala
1
+ PDF Chat Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors 2016 Jingfei He
Qiegen Liu
Anthony G. Christodoulou
Chao Ma
Fan Lam
Zhi‐Pei Liang
1
+ f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization 2016 Sebastian Nowozin
Botond Cseke
Ryota Tomioka
1
+ PDF Chat Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising 2017 Kai Zhang
Wangmeng Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
1
+ WaveNet: A Generative Model for Raw Audio 2016 Aäron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alexander Graves
Nal Kalchbrenner
Andrew Senior
Koray Kavukcuoglu
1
+ PDF Chat RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation 2017 Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
1
+ PDF Chat The Little Engine That Could: Regularization by Denoising (RED) 2017 Yaniv Romano
Michael Elad
Peyman Milanfar
1
+ A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction 2017 Jo Schlemper
José Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
1
+ Image Restoration using Autoencoding Priors 2018 Siavash Arjomand Bigdeli
Matthias Zwicker
1
+ PDF Chat Image reconstruction by domain-transform manifold learning 2018 Bo Zhu
Jeremiah Zhe Liu
Stephen Cauley
Bruce R. Rosen
Matthew S. Rosen
1
+ PDF Chat Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding 2017 Yawen Huang
Ling Shao
Alejandro F. Frangi
1
+ Deep Generative Adversarial Networks for Compressed Sensing Automates MRI 2017 Morteza Mardani
Enhao Gong
Joseph Y. Cheng
Shreyas Vasanawala
Greg Zaharchuk
Marcus T. Alley
Neil H. Thakur
Song Han
William J. Dally
John M. Pauly
1
+ PDF Chat Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss 2018 Qingsong Yang
Pingkun Yan
Yanbo Zhang
Hengyong Yu
Yongyi Shi
Xuanqin Mou
Mannudeep K. Kalra
Yi Zhang
Ling Sun
Ge Wang
1
+ Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery 2017 Morteza Mardani
Hatef Monajemi
Vardan Papyan
Shreyas Vasanawala
David L. Donoho
John M. Pauly
1
+ PDF Chat Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss 2018 Tran Minh Quan
Thanh Nguyen-Duc
Won-Ki Jeong
1
+ Noise2Noise: Learning Image Restoration without Clean Data 2018 Jaakko Lehtinen
Jacob Munkberg
Jon Hasselgren
Samuli Laine
Tero Karras
Miika Aittala
Timo Aila
1
+ PDF Chat Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network 2018 Eun‐Hee Kang
Won Chang
Jaejun Yoo
Jong Chul Ye
1
+ PDF Chat On instabilities of deep learning in image reconstruction and the potential costs of AI 2020 Vegard Antun
Francesco Renna
Clarice Poon
Ben Adcock
Anders C. Hansen
1
+ Proximal Algorithms 2013 Neal Parikh
Stephen Boyd
1
+ Sliced Score Matching: A Scalable Approach to Density and Score Estimation 2019 Yang Song
Sahaj Garg
Jiaxin Shi
Stefano Ermon
1
+ WaveNet: A Generative Model for Raw Audio 2016 Aäron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
Andrew Senior
Koray Kavukcuoglu
1
+ Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks 2015 Emily Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
1
+ Image Restoration using Autoencoding Priors 2017 Siavash Arjomand Bigdeli
Matthias Zwicker
1
+ Pixel Recurrent Neural Networks 2016 Aäron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
1
+ Generative Modeling by Estimating Gradients of the Data Distribution 2019 Yang Song
Stefano Ermon
1
+ PDF Chat Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction 2018 Chen Qin
Jo Schlemper
José Caballero
Anthony N. Price
Joseph V. Hajnal
Daniel Rueckert
1
+ Generating Sentences from a Continuous Space 2016 Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafał Józefowicz
Samy Bengio
1
+ PDF Chat Image Restoration by Iterative Denoising and Backward Projections 2018 Tom Tirer
Raja Giryes
1
+ PDF Chat Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT 2018 Yoseob Han
Jong Chul Ye
1
+ Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 2015 Alec Radford
Luke Metz
Soumith Chintala
1
+ f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization 2016 Sebastian Nowozin
Botond Cseke
Ryota Tomioka
1
+ Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections 2016 Xiao-Jiao Mao
Chunhua Shen
Yu-Bin Yang
1
+ Noise2Noise: Learning image restoration without clean data 2018 Jaakko Lehtinen
Jacob Munkberg
Jon Hasselgren
Samuli Laine
Tero Karras
Miika Aittala
Timo Aila
1
+ PDF Chat Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks 2018 Dongwook Lee
Jaejun Yoo
Sungho Tak
Jong Chul Ye
1
+ Sliced Score Matching: A Scalable Approach to Density and Score Estimation 2019 Yang Song
Sahaj Garg
Jiaxin Shi
Stefano Ermon
1
+ Generative Modeling by Estimating Gradients of the Data Distribution 2019 Yang Song
Stefano Ermon
1
+ PDF Chat Sampling can be faster than optimization 2019 Yi-An Ma
Yuansi Chen
Chi Jin
Nicolas Flammarion
Michael I. Jordan
1
+ PDF Chat Image-Adaptive GAN Based Reconstruction 2020 Shady Abu Hussein
Tom Tirer
Raja Giryes
1
+ Generative Modeling with Denoising Auto-Encoders and Langevin Sampling. 2020 Adam Block
Youssef Mroueh
Alexander Rakhlin
1
+ Estimation of Non-Normalized Statistical Models by Score Matching 2005 HyvärinenAapo
1