Jiawei Zhang

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Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Pyramid U-Net for Retinal Vessel Segmentation 2021 Jiawei Zhang
Yanchun Zhang
Xiaowei Xu
3
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal 2019 Steven Guan
Amir Khan
Siddhartha Sikdar
Parag V. Chitnis
2
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
2
+ PDF Chat The Importance of Skip Connections in Biomedical Image Segmentation 2016 Michal Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
Chris Pal
2
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
2
+ PDF Chat Attention to Scale: Scale-Aware Semantic Image Segmentation 2016 Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
2
+ PDF Chat Densely Connected Convolutional Networks 2017 Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
2
+ PDF Chat Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation 2016 Guosheng Lin
Chunhua Shen
Anton van den Hengel
Ian Reid
2
+ PDF Chat Quantized Densely Connected U-Nets for Efficient Landmark Localization 2018 Zhiqiang Tang
Xi Peng
Shijie Geng
Lingfei Wu
Shaoting Zhang
Dimitris Metaxas
2
+ PDF Chat The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation 2017 Simon JĂ©gou
Michal Drozdzal
David VĂĄzquez
Adriana Romero
Yoshua Bengio
2
+ PDF Chat Pyramid Scene Parsing Network 2017 Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
2
+ PDF Chat H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes 2018 Xiaomeng Li
Hao Chen
Xiaojuan Qi
Qi Dou
Chi‐Wing Fu
Pheng‐Ann Heng
2
+ PDF Chat RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation 2017 Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
2
+ PDF Chat Deep Convolutional Neural Network for Inverse Problems in Imaging 2017 Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
Michaël Unser
2
+ PDF Chat Deformable Convolutional Networks 2017 Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
2
+ UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation 2019 Zongwei Zhou
Md Mahfuzur Rahman Siddiquee
Nima Tajbakhsh
Jianming Liang
2
+ PDF Chat Stacked Hourglass Networks for Human Pose Estimation 2016 Alejandro Newell
Kaiyu Yang
Jia Deng
2
+ PDF Chat nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation 2020 Fabian Isensee
Paul F. Jaeger
Simon Kohl
Jens Petersen
Klaus H. Maier‐Hein
2
+ PDF Chat Rethinking the Inception Architecture for Computer Vision 2016 Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
2
+ PDF Chat Deep Networks with Stochastic Depth 2016 Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
2
+ PDF Chat Learning Feature Pyramids for Human Pose Estimation 2017 Wei Yang
Shuang Li
Wanli Ouyang
Hongsheng Li
Xiaogang Wang
2
+ Learning Feature Pyramids for Human Pose Estimation 2017 Wei Yang
Shuang Li
Wanli Ouyang
Hongsheng Li
Xiaogang Wang
1
+ UNet++: A Nested U-Net Architecture for Medical Image Segmentation 2018 Zongwei Zhou
Md Mahfuzur Rahman Siddiquee
Nima Tajbakhsh
Jianming Liang
1
+ PDF Chat Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation 2017 Rudra P. K. Poudel
Pablo Lamata
Giovanni Montana
1
+ PDF Chat CUNet: A Compact Unsupervised Network for Image Classification 2017 Le Dong
Ling He
Mengdie Mao
Gaipeng Kong
Xi Wu
Qianni Zhang
Xiaochun Cao
Ebroul Izquierdo
1
+ PDF Chat An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation 2018 Christian F. Baumgartner
Lisa M. Koch
Marc Pollefeys
Ender Konukoğlu
1
+ PDF Chat 2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation 2018 Jay Patravali
Shubham Jain
Sasank Chilamkurthy
1
+ Multi-Scale Context Aggregation by Dilated Convolutions 2015 Fisher Yu
Vladlen Koltun
1
+ PDF Chat Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation 2018 Xiaowei Xu
Qing Lu
Lin Yang
Xiaobo Sharon Hu
Danny Z. Chen
Yu Hen Hu
Yiyu Shi
1
+ Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights 2017 Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
1
+ PDF Chat Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation 2018 Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
1
+ PDF Chat Cardiac MRI Segmentation with Strong Anatomical Guarantees 2019 Nathan Painchaud
Youssef Skandarani
Thierry Judge
Olivier Bernard
Alain Lalande
Pierre-Marc Jodoin
1
+ PDF Chat Fully automated left atrium segmentation from anatomical cine long-axis MRI sequences using deep convolutional neural network with unscented Kalman filter 2020 Xiaoran Zhang
Michelle Noga
David Glynn Martin
Kumaradevan Punithakumar
1
+ nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation 2018 Fabian Isensee
Jens Petersen
André Klein
David Zimmerer
Paul F. Jaeger
Simon Kohl
Jakob Wasserthal
Gregor Koehler
Tobias Norajitra
Sebastian Wirkert
1
+ Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting 2015 Xingjian Shi
Zhourong Chen
Hao Wang
Dit‐Yan Yeung
Wai Kin Wong
Wang‐chun Woo
1
+ Fully Convolutional Networks for Semantic Segmentation 2014 J. D. Long
Evan Shelhamer
Trevor Darrell
1
+ Multi-Scale Context Aggregation by Dilated Convolutions 2015 Fisher Yu
Vladlen Koltun
1
+ PDF Chat Exploring Context with Deep Structured Models for Semantic Segmentation 2017 Guosheng Lin
Chunhua Shen
Anton van den Hengel
Ian Reid
1
+ Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1 2016 Matthieu Courbariaux
Itay Hubara
Daniel Soudry
Ran El‐Yaniv
Yoshua Bengio
1
+ Fully Convolutional Networks for Semantic Segmentation 2016 Evan Shelhamer
Jonathan Long
Trevor Darrell
1
+ PDF Chat Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images 2016 Hao Chen
Yefeng Zheng
JinHyeong Park
Pheng‐Ann Heng
Shuai Zhou
1
+ PDF Chat Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model 2016 Yuanwei Li
Chin Pang Ho
Navtej Chahal
Roxy Senior
Meng‐Xing Tang
1
+ Rethinking Atrous Convolution for Semantic Image Segmentation 2017 Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
1
+ Residual Conv-Deconv Grid Network for Semantic Segmentation 2017 Damien Fourure
RĂ©mi Emonet
Élisa Fromont
Damien Muselet
Alain Trémeau
Christian Wolf
1
+ PDF Chat Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images 2018 Jelmer M. Wolterink
Tim Leiner
Max A. Viergever
Ivana IĆĄgum
1
+ PDF Chat GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation 2018 Clément Zotti
Zhiming Luo
Olivier Humbert
Alain Lalande
Pierre-Marc Jodoin
1
+ Recurrent Neural Networks for Semantic Instance Segmentation 2017 Amaia Salvador
MĂ­riam Bellver
Manel Baradad
Ferran Marqués
Jordi Torres
Xavier GirĂł-i-Nieto
1
+ Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation 2018 Sohil Shah
Pallabi Ghosh
Larry S. Davis
Tom Goldstein
1
+ PDF Chat MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images 2018 Simon Graham
Hao Chen
Jevgenij Gamper
Qi Dou
Pheng‐Ann Heng
David Snead
Yee Wah Tsang
Nasir Rajpoot
1