Guozhu Shao

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All published works

Action	Title	Year	Authors
+	GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation	2020	Zhanwei Xu Yukun Cao Cheng Jin Guozhu Shao Xiaoqing Liu Jie Zhou Heshui Shi Jianjiang Feng

Common Coauthors

Coauthor	Papers Together
Yukun Cao	1
Cheng Jin	1
Zhanwei Xu	1
Xiaoqing Liu	1
Jie Zhou	1
Heshui Shi	1
Jianjiang Feng	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Multi-instance learning by treating instances as non-I.I.D. samples	2009	Zhi‐Hua Zhou Yuyin Sun Yu-Feng Li	1
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	1
+	Fully Convolutional Networks for Semantic Segmentation	2016	Evan Shelhamer Jonathan Long Trevor Darrell	1
+	DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks	2016	Martin Rajchl Matthew C. H. Lee Ozan Oktay Konstantinos Kamnitsas Jonathan Passerat‐Palmbach Wenjia Bai Mellisa Damodaram Mary Rutherford Joseph V. Hajnal Bernhard Kainz	1
+	ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation	2016	Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello	1
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	1
+ PDF Chat	Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules	2017	Xinyang Feng Jie Yang Andrew F. Laine Elsa D. Angelini	1
+	Spectral Normalization for Generative Adversarial Networks	2018	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	1
+ PDF Chat	Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks	2018	Hoo-Chang Shin Neil Tenenholtz Jameson K. Rogers Christopher G. Schwarz Matthew L. Senjem Jeffrey L. Gunter Katherine P. Andriole Mark Michalski	1
+ PDF Chat	UNet++: A Nested U-Net Architecture for Medical Image Segmentation	2018	Zongwei Zhou Md Mahfuzur Rahman Siddiquee Nima Tajbakhsh Jianming Liang	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
+	When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation	2019	Ling Zhang Xiaosong Wang Dong Yang Thomas Sanford Stephanie A. Harmon Barış Türkbey Holger R. Roth Andriy Myronenko Daguang Xu Ziyue Xu	1
+ PDF Chat	Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation	2018	Yue Zhang Shun Miao Tommaso Mansi Rui Liao	1
+ PDF Chat	Attention-Based Dropout Layer for Weakly Supervised Object Localization	2019	Junsuk Choe Hyunjung Shim	1
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	1
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	1
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	1
+ PDF Chat	CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation	2018	Dakai Jin Ziyue Xu Youbao Tang Adam P. Harrison Daniel J. Mollura	1
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	1
+ PDF Chat	Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network	2018	Dwarikanath Mahapatra Behzad Bozorgtabar Jean‐Philippe Thiran Mauricio Reyes	1
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	1
+ PDF Chat	Self-learning to detect and segment cysts in lung CT images without manual annotation	2018	Ling Zhang Vissagan Gopalakrishnan Le Lü Ronald M. Summers Joel Moss Jianhua Yao	1
+ PDF Chat	Learning to Segment Skin Lesions from Noisy Annotations	2019	Zahra Mirikharaji Yiqi Yan Ghassan Hamarneh	1
+ PDF Chat	CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation	2019	Gang Xu Zhigang Song Zhuo Sun Calvin Ku Zhe Yang Cancheng Liu Shuhao Wang Jianpeng Ma Wei Xu	1
+ PDF Chat	Weakly Supervised Segmentation from Extreme Points	2019	Holger R. Roth Ling Zhang Dong Yang Fausto Milletarì Ziyue Xu Xiaosong Wang Daguang Xu	1
+	Lung Infection Quantification of COVID-19 in CT Images with Deep Learning	2020	Fei Shan Yaozong Gao Jun Wang Weiya Shi Nannan Shi Miaofei Han Zhong Xue Dinggang Shen Yuxin Shi	1
+	Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision	2020	Hoel Kervadec José Dolz Shanshan Wang Éric Granger Ismail Ben Ayed	1
+	Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation	2020	Jun Ma Yixin Wang Xingle An Cheng Ge Ziqi Yu Jianan Chen Qiongjie Zhu Guoqiang Dong Jian He Zhiqiang He	1
+	MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation	2020	Yu Qiu Yun Liu Shijie Li Jing Xu	1
+	MosMedData: Chest CT Scans with COVID-19 Related Findings Dataset	2020	С. П. Морозов Anna Andreychenko Nikolay Pavlov Anton V. Vladzymyrskyy N. V. Ledikhova Victor А. Gombolevskiy Ivan A. Blokhin Pavel Gelezhe А В Гончарь Valeria Chernina	1
+	Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images	2020	Deng-Ping Fan Tao Zhou Ge-Peng Ji Yi Zhou Geng Chen Huazhu Fu Jianbing Shen Ling Shao	1
+	Learning Diagnosis of COVID-19 from a Single Radiological Image	2020	Pengyi Zhang Yunxin Zhong Xiaoying Tang Yunlin Deng Xiaoqiong Li	1
+	Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates	2020	Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris	1
+	A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images	2020	Issam Laradji Pau Rodríguez Frédéric Branchaud-Charron Keegan Lensink Parmida Atighehchian William Parker David Vázquez Derek Nowrouzezahrai	1
+ PDF Chat	Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem	2020	Johannes Hofmanninger Florian Prayer Jeanny Pan Sebastian Röhrich Helmut Prosch Georg Langs	1
+	Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images	2020	Hui Qu Pengxiang Wu Qiaoying Huang Jingru Yi Zhennan Yan Kang Li Gregory Riedlinger Subhajyoti De Shaoting Zhang Dimitris Metaxas	1
+	A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images	2021	Issam Laradji Pau Rodríguez Oscar Mañas Keegan Lensink Marco Law Lironne Kurzman William Parker David Vázquez Derek Nowrouzezahrai	1
+	Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification	2021	Feng Shi Liming Xia Fei Shan Bin Song Dijia Wu Ying Wei Huan Yuan Huiting Jiang Yichu He Yaozong Gao	1
+	JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation	2021	Yu-Huan Wu Shanghua Gao Jie Mei Jun Xu Deng-Ping Fan Rongguo Zhang Ming‐Ming Cheng	1
+ PDF Chat	Label-Free Segmentation of COVID-19 Lesions in Lung CT	2021	Qingsong Yao Li Xiao Peihang Liu S. Kevin Zhou	1
+ PDF Chat	Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates	2021	Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris	1