Chengdi Wang

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All published works

Action	Title	Year	Authors
+ PDF Chat	SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation	2021	Hong-Yu Zhou Chengdi Wang Haofeng Li Gang Wang Shu Zhang Weimin Li Yizhou Yu
+ PDF Chat	SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation	2021	Hong-Yu Zhou Chengdi Wang Haofeng Li Gang Wang Shu Zhang Weimin Li Yizhou Yu
+	SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation	2021	Hong-Yu Zhou Chengdi Wang Haofeng Li Gang Wang Shu Zhang Weimin Li Yizhou Yu

Common Coauthors

Coauthor	Papers Together
Yizhou Yu	3
Shu Zhang	3
Haofeng Li	3
Hong-Yu Zhou	3
Gang Wang	2
Weimin Li	2
Weimin Li	1
Gang Wang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning	2018	Takeru Miyato Shin‐ichi Maeda Masanori Koyama Shin Ishii	3
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	3
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	3
+ PDF Chat	Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning	2019	Zhanghan Ke Daoye Wang Qiong Yan Jimmy Ren Rynson W. H. Lau	3
+	ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring	2020	David Berthelot Nicholas Carlini Ekin D. Cubuk А.В. Куракин Kihyuk Sohn Han Zhang Colin Raffel	3
+ PDF Chat	Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network	2019	Fangzhou Liao Ming Liang Zhe Li Xiaolin Hu Sen Song	3
+	A Simple Semi-Supervised Learning Framework for Object Detection	2020	Kihyuk Sohn Zizhao Zhang Chun‐Liang Li Han Zhang Chen‐Yu Lee Tomas Pfister	3
+ PDF Chat	Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation	2020	Xiaomeng Li Lequan Yu Hao Chen Chi‐Wing Fu Lei Xing Pheng‐Ann Heng	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model	2020	Quande Liu Lequan Yu Luyang Luo Qi Dou Pheng‐Ann Heng	3
+	Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification	2018	Yi Xin Ekta Walia Paul Babyn	3
+ PDF Chat	S4ND: Single-Shot Single-Scale Lung Nodule Detection	2018	Naji Khosravan Ulaş Bağcı	3
+	Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model	2018	Xiaomeng Li Lequan Yu Hao Chen Chi‐Wing Fu Pheng‐Ann Heng	3
+	Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images	2018	Bruno Lecouat Ken Chang Chuan-Sheng Foo Balagopal Unnikrishnan James M. Brown Houssam Zenati Andrew Beers Vijay Chandrasekhar Jayashree Kalpathy‐Cramer Pavitra Krishnaswamy	3
+ PDF Chat	3DFPN-HS $$^2$$ 2 : 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection	2019	Jingya Liu Liangliang Cao Oğuz Akın Yingli Tian	3
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	3
+ PDF Chat	MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection	2019	Zihao Li Shu Zhang Junge Zhang Kaiqi Huang Yizhou Wang Yizhou Yu	3
+	MixMatch: A Holistic Approach to Semi-Supervised Learning	2019	David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel	2
+ PDF Chat	Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels	2019	Martin Zlocha Qi Dou Ben Glocker	2
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	2
+ PDF Chat	Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation	2019	Shuai Chen Gerda Bortsova Antonio García-Uceda Juárez Gijs van Tulder Marleen de Bruijne	2
+ PDF Chat	FocalMix: Semi-Supervised Learning for 3D Medical Image Detection	2020	Dong Wang Yuan Zhang Kexin Zhang Liwei Wang	2
+	Temporal Ensembling for Semi-Supervised Learning	2016	Samuli Laine Timo Aila	2
+ PDF Chat	Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations	2020	Hong-Yu Zhou Shuang Yu Cheng Bian Yifan Hu Kai Ma Yefeng Zheng	2
+ PDF Chat	Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks	2017	Jia Ding Aoxue Li Zhiqiang Hu Liwei Wang	2
+ PDF Chat	Repetitive Reprediction Deep Decipher for Semi-Supervised Learning	2020	Guohua Wang Jianxin Wu	2
+	Interpolation Consistency Training for Semi-supervised Learning	2019	Vikas Verma Alex Lamb Juho Kannala Yoshua Bengio David López-Paz	2
+ PDF Chat	DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification	2018	Wentao Zhu Chaochun Liu Wei Fan Xiaohui Xie	2
+	Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis	2019	Zongwei Zhou Vatsal Sodha Md Mahfuzur Rahman Siddiquee Ruibin Feng Nima Tajbakhsh Michael B. Gotway Jianming Liang	1
+	Mask R-CNN	2017	Kaiming He Georgia Gkioxari Piotr Dollár Ross Girshick	1
+	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+	DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification	2018	Wentao Zhu Chaochun Liu Wei Fan Xiaohui Xie	1
+	Improving Consistency-Based Semi-Supervised Learning with Weight Averaging.	2018	Ben Athiwaratkun Marc Finzi Pavel Izmailov Andrew Gordon Wilson	1
+	Interpolation Consistency Training for Semi-Supervised Learning	2019	Vikas Verma Kenji Kawaguchi Alex Lamb Juho Kannala Yoshua Bengio David López-Paz	1
+	MixMatch: A Holistic Approach to Semi-Supervised Learning	2019	David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel	1
+	Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels	2019	Martin Zlocha Qi Dou Ben Glocker	1
+	There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average	2018	Ben Athiwaratkun Marc Finzi Pavel Izmailov Andrew Gordon Wilson	1
+	Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks	2017	Jia Ding Aoxue Li Zhiqiang Hu Liwei Wang	1
+	Fast R-CNN	2015	Ross Girshick	1
+	Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model	2018	Xiaomeng Li Lequan Yu Hao Chen Chi‐Wing Fu Pheng‐Ann Heng	1
+	Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results	2017	Antti Tarvainen Harri Valpola	1
+	Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation	2019	Lequan Yu Shujun Wang Xiaomeng Li Chi‐Wing Fu Pheng‐Ann Heng	1
+	Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation	2019	Shuai Chen Gerda Bortsova Antonio García-Uceda Juárez Gijs van Tulder Marleen de Bruijne	1
+	Repetitive Reprediction Deep Decipher for Semi-Supervised Learning	2019	Guohua Wang Jianxin Wu	1
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	1
+ PDF Chat	Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation	2019	Lequan Yu Shujun Wang Xiaomeng Li Chi‐Wing Fu Pheng‐Ann Heng	1
+	FocalMix: Semi-Supervised Learning for 3D Medical Image Detection	2020	Dong Wang Yuan Zhang Kexin Zhang Liwei Wang	1
+	Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations	2020	Hong-Yu Zhou Shuang Yu Cheng Bian Yifan Hu Kai Ma Yefeng Zheng	1