COVID-CT-Dataset: A CT Scan Dataset about COVID-19

30 March 2020

Shanghang Zhang

Papers citing "COVID-CT-Dataset: A CT Scan Dataset about COVID-19"

25 / 125 papers shown

Title
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis Afshar Shamsi Hamzeh Asgharnezhad Shirin Shamsi Jokandan Abbas Khosravi P. Kebria D. Nahavandi S. Nahavandi D. Srinivasan OOD 6 133 0 26 Jul 2020
CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images Md. Kamrul Hasan Md. Ashraful Alam M. E. Elahi Shidhartho Roy Sifat Redwan Wahid OOD 29 22 0 21 Jul 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review A. Shoeibi Marjane Khodatars M. Jafari Navid Ghassemi Delaram Sadeghi ... Z. Sani F. Khozeimeh S. Nahavandi U. Acharya Juan M Gorriz 51 178 0 16 Jul 2020
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging R. Kumar A. Khan Sinmin Zhang Jay Kumar Wenyong Wang Yousif Abuidris Zakria Waqas Amin Sidra Shafiq WenYong Wang OOD FedML 23 325 0 10 Jul 2020
A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19 Jianguo Chen KenLi Li Zhaolei Zhang Keqin Li Philip S. Yu 32 101 0 04 Jul 2020
An encoder-decoder-based method for COVID-19 lung infection segmentation O. Elharrouss Nandhini Subramanian S. Al-Maadeed 9 36 0 02 Jul 2020
A Novel and Reliable Deep Learning Web-Based Tool to Detect COVID-19 Infection from Chest CT-Scan Abdolkarim Saeedi Maryam Saeedi Arash Maghsoudi 9 29 0 24 Jun 2020
Automated Detection of COVID-19 from CT Scans Using Convolutional Neural Networks R. Lokwani A. Gaikwad V. Kulkarni Aniruddha Pant A. Kharat 28 21 0 23 Jun 2020
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms Xingyi Yang Xuehai He Yuxiao Liang Yue Yang Shanghang Zhang P. Xie SSL 18 43 0 19 Jun 2020
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images Xiaocong Chen Lina Yao Tao Zhou Jinming Dong Yu Zhang 35 169 0 16 Jun 2020
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature Yifan Peng Yuxing Tang Sungwon Lee Yingying Zhu Ronald M. Summers Zhiyong Lu OOD 6 16 0 11 Jun 2020
EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant Tweets Junhua Liu Trisha Singhal L. Blessing Kristin L. Wood Kwan Hui Lim 16 11 0 09 Jun 2020
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation Mingjie Li Fuyu Wang Xiaojun Chang Xiaodan Liang MedIm 29 101 0 06 Jun 2020
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients M. Iglesia-Vayá J. Saborit J. Montell A. Pertusa A. Bustos ... Domingo Orozco-Beltrán Francisco García-García M. Caparrós G. González J. M. Salinas 8 227 0 01 Jun 2020
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks Hokuto Hirano K. Koga Kazuhiro Takemoto AAML 19 47 0 22 May 2020
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS) Jannis Born G. Brändle M. Cossio Marion Disdier Julie Goulet Jérémie Roulin Nina Wiedemann OOD 32 149 0 25 Apr 2020
A Light CNN for detecting COVID-19 from CT scans of the chest M. Polsinelli Luigi Cinque G. Placidi OOD 9 272 0 24 Apr 2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images Deng-Ping Fan Tao Zhou Ge-Peng Ji Yi Zhou Geng Chen Huazhu Fu Jianbing Shen Ling Shao 11 962 0 22 Apr 2020
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation Yu Qiu Yun-Hai Liu Shijie Li Jing Xu 12 147 0 21 Apr 2020
Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks Aryan Mobiny P. Cicalese Samira Zare Pengyu Yuan Mohammadsajad Abavisani Carol C. Wu J. Ahuja P. D. Groot H. Nguyen MedIm 38 96 0 16 Apr 2020
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays S. Rajaraman Jenifer Siegelman P. Alderson Lucas S. Folio L. Folio Sameer Kiran Antani 10 265 0 16 Apr 2020
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation Yu-Huan Wu Shanghua Gao Jie Mei Jun Xu Deng-Ping Fan Chao Zhao Ming-Ming Cheng 22 374 0 15 Apr 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19 F. Shi Jun Wang Jun Shi Zi-xiang Wu Qian Wang Zhenyu Tang Kelei He Yinghuan Shi D. Shen 39 1,053 0 06 Apr 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning F. Shan Yaozong Gao Jun Wang Weiya Shi N. Shi Miaofei Han Zhong Xue D. Shen Yuxin Shi 111 574 0 10 Mar 2020
Towards Explainable Deep Neural Networks (xDNN) Plamen Angelov Eduardo Soares AAML 16 256 0 05 Dec 2019