Fetching the paper…
Reading the bibliography…
The chest X-ray plays a key role in screening and diagnosis of many lung diseases including the COVID-19.
“Selective object and context tracking,”
Ce Zhou, Qing Guo, Liang Wan, and Wei Feng, · 1951
Earlier work this paper cites.
“A modified fuzzy c-means algorithm for bias field estimation and segmentation of mri data,”
Mohamed N Ahmed, Sameh M Yamany, Nevin Mohamed, Aly A Farag, and Thomas Moriarty, · 2002
Earlier work this paper cites.
“A unified variational approach to denoising and bias correction in mr,”
Ayres Fan, William M Wells, John W Fisher, Müjdat Cetin, Steven Haker, Robert Mulkern, Clare Tempany, and Alan S Willsky, · 2003
Earlier work this paper cites.
“Bias field correction for mri images,”
Jaber Juntu, Jan Sijbers, Dirk Van Dyck, and Jan Gielen, · 2005
Earlier work this paper cites.
“3d mdeft imaging of the human brain at 4.7 t with reduced sensitivity to radiofrequency inhomogeneity,”
David L Thomas, Enrico De Vita, Ralf Deichmann, Robert Turner, and Roger J Ordidge, · 2005
Earlier work this paper cites.
“A review of methods for correction of intensity inhomogeneity in mri,”
Uro Vovk, Franjo Pernus, and Botjan Likar, · 2007
Earlier work this paper cites.
“Estimation of image bias field with sparsity constraints,”
Yuanjie Zheng and James C Gee, · 2010
Earlier work this paper cites.
“No-reference image quality assessment in the spatial domain,”
Anish Mittal, Anush Krishna Moorthy, and Alan Conrad Bovik, · 2012
Earlier work this paper cites.
“Explaining and harnessing adversarial examples,”
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy, · 2014
Earlier work this paper cites.
“Model inversion attacks that exploit confidence information and basic countermeasures,”
Matt Fredrikson, Somesh Jha, and Thomas Ristenpart, · 2015
Earlier work this paper cites.
“Adversarial machine learning at scale,”
Alexey Kurakin, Ian Goodfellow, and Samy Bengio, · 2016
Earlier work this paper cites.
“The limitations of deep learning in adversarial settings,”
Nicolas Papernot, Patrick McDaniel, Somesh Jha, Matt Fredrikson, Z Berkay Celik, and Ananthram Swami, · 2016
Earlier work this paper cites.
“Frequency-tuned acm for biomedical image segmentation,”
Qing Guo, Shuifa Sun, Fangmin Dong, Wei Feng, Bruce Zhi Gao, and Siyu Ma, · 2017
Earlier work this paper cites.
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, and Ronald M. Summers, · 2017
Cited alongside, same era.
“Learning to diagnose from scratch by exploiting dependencies among labels,”
Li Yao, Eric Poblenz, Dmitry Dagunts, Ben Covington, Devon Bernard, and Kevin Lyman, · 2017
Cited alongside, same era.
“Practical black-box attacks against machine learning,”
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow, Somesh Jha, Z Berkay Celik, and Ananthram Swami, · 2017
Cited alongside, same era.
“Towards evaluating the robustness of neural networks,”
Nicholas Carlini and David Wagner, · 2017
Cited alongside, same era.
“Foolbox: A python toolbox to benchmark the robustness of machine learning models,”
“DeepHunter: A Coverage-Guided Fuzz Testing Framework for Deep Neural Networks,”
Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, and Simon See, · 2019
Later among the works it cites.
“Deepstellar: Model-based quantitative analysis of stateful deep learning systems,”
Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, and Jianjun Zhao, · 2019
Later among the works it cites.
Linda Wang and Alexander Wong, · 2020
Closest in time.
Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N Plataniotis, and Arash Mohammadi, · 2020
Closest in time.
“Abba: Saliency-regularized motion-based adversarial blur attack,”
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jonas Rauber, Wieland Brendel, and Matthias Bethge, · 2017
Cited alongside, same era.
“Interpretable explanations of black boxes by meaningful perturbation,”
R. C. Fong and A. Vedaldi, · 2017
Cited alongside, same era.
“Structure-regularized compressive tracking with online data-driven sampling,”
Qing Guo, Wei Feng, Ce Zhou, Chi-Man Pun, and Bin Wu, · 2017
Cited alongside, same era.
Qingji Guan, Yaping Huang, Zhun Zhong, Zhedong Zheng, Liang Zheng, and Yi Yang, · 2018
Cited alongside, same era.
“Adversarial attacks against medical deep learning systems,”
Samuel G Finlayson, Hyung Won Chung, Isaac S Kohane, and Andrew L Beam, · 2018
Cited alongside, same era.
“Boosting adversarial attacks with momentum,”
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, and Jianguo Li, · 2018
Cited alongside, same era.
“DeepMutation: Mutation Testing of Deep Learning Systems,”
Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, and Yadong Wang, · 2018
Cited alongside, same era.
“DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems,”
Lei Ma, Felix Juefei-Xu, Jiyuan Sun, Chunyang Chen, Ting Su, Fuyuan Zhang, Minhui Xue, Bo Li, Li Li, Yang Liu, Jianjun Zhao, and Yadong Wang, · 2018
Cited alongside, same era.
Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Wei Feng, and Yang Liu, · 2020
Closest in time.
“Spark: Spatial-aware online incremental attack against visual tracking,”
Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, and Yang Liu, · 2020
Closest in time.
“Amora: Black-box adversarial morphing attack,”
Run Wang, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Yihao Huang, and Yang Liu, · 2020
Closest in time.
“Selective spatial regularization by reinforcement learned decision making for object tracking,”
Qing Guo, Ruize Han, Wei Feng, Zhihao Chen, and Liang Wan, · 2020
Closest in time.
“Fakepolisher: Making deepfakes more detection-evasive by shallow reconstruction,”
Yihao Huang, Felix Juefei-Xu, Run Wang, Qing Guo, Lei Ma, Xiaofei Xie, Jianwen Li, Weikai Miao, Yang Liu, and Geguang Pu, · 2020
Closest in time.
“Making Images Undiscoverable from Co-Saliency Detection,”
Ruijun Gao, , Qing Guo, Felix Juefei-Xu, Hongkai Yu, Xuhong Ren, Wei Feng, and Song Wang, · 2020
Closest in time.
“Adversarial Exposure Attack on Diabetic Retinopathy Imagery,”
Yupeng Cheng, Felix Juefei-Xu, Qing Guo, Huazhu Fu, Xiaofei Xie, Shang-Wei Lin, Weisi Lin, and Yang Liu, · 2020
Closest in time.
“It’s Raining Cats or Dogs? Adversarial Rain Attack on DNN Perception,”
Liming Zhai, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Lei Ma, Wei Feng, Shengchao Qin, and Yang Liu, · 2020
Closest in time.
“Countering malicious deepfakes: Survey, battleground, and horizon,”
Felix Juefei-Xu, Run Wang, Yihao Huang, Qing Guo, Lei Ma, and Yang Liu, · 2021
Closest in time.