A citation-based method for searching scientific literature

Deep learning and its role in COVID-19 medical imaging.
Sudhen B Desai, Anuj Pareek, Matthew P Lungren. Intell Based Med 2020
Times Cited: 12






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List of co-cited articles
77 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Automated detection of COVID-19 cases using deep neural networks with X-ray images.
Tulin Ozturk, Muhammed Talo, Eylul Azra Yildirim, Ulas Baran Baloglu, Ozal Yildirim, U Rajendra Acharya. Comput Biol Med 2020
504
5
41

Applications of artificial intelligence in battling against covid-19: A literature review.
Mohammad-H Tayarani N. Chaos Solitons Fractals 2021
36
4
33

A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis.
Shuo Wang, Yunfei Zha, Weimin Li, Qingxia Wu, Xiaohu Li, Meng Niu, Meiyun Wang, Xiaoming Qiu, Hongjun Li, He Yu,[...]. Eur Respir J 2020
138
4
33

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning.
Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi. Med Image Anal 2020
177
4
33

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey.
Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Thippa Reddy Gadekallu, Siva Rama Krishnan S, Chiranji Lal Chowdhary, Mamoun Alazab, Md Jalil Piran. Sustain Cities Soc 2021
79
4
33

Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet.
Harsh Panwar, P K Gupta, Mohammad Khubeb Siddiqui, Ruben Morales-Menendez, Vaishnavi Singh. Chaos Solitons Fractals 2020
122
4
33

Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.
Lin Li, Lixin Qin, Zeguo Xu, Youbing Yin, Xin Wang, Bin Kong, Junjie Bai, Yi Lu, Zhenghan Fang, Qi Song,[...]. Radiology 2020
559
3
25

Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography.
Kang Zhang, Xiaohong Liu, Jun Shen, Zhihuan Li, Ye Sang, Xingwang Wu, Yunfei Zha, Wenhua Liang, Chengdi Wang, Ke Wang,[...]. Cell 2020
230
3
25

Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.
Tao Ai, Zhenlu Yang, Hongyan Hou, Chenao Zhan, Chong Chen, Wenzhi Lv, Qian Tao, Ziyong Sun, Liming Xia. Radiology 2020
2552
3
25

A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images.
Md Zabirul Islam, Md Milon Islam, Amanullah Asraf. Inform Med Unlocked 2020
89
3
25

COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data.
Michael J Horry, Subrata Chakraborty, Manoranjan Paul, Anwaar Ulhaq, Biswajeet Pradhan, Manas Saha, Nagesh Shukla. IEEE Access 2020
58
3
25

A Novel Coronavirus from Patients with Pneumonia in China, 2019.
Na Zhu, Dingyu Zhang, Wenling Wang, Xingwang Li, Bo Yang, Jingdong Song, Xiang Zhao, Baoying Huang, Weifeng Shi, Roujian Lu,[...]. N Engl J Med 2020
11889
3
25

Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation.
Amine Amyar, Romain Modzelewski, Hua Li, Su Ruan. Comput Biol Med 2020
89
3
25

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.
Luca Brunese, Francesco Mercaldo, Alfonso Reginelli, Antonella Santone. Comput Methods Programs Biomed 2020
112
3
25

Positive rate of RT-PCR detection of SARS-CoV-2 infection in 4880 cases from one hospital in Wuhan, China, from Jan to Feb 2020.
Rui Liu, Huan Han, Fang Liu, Zhihua Lv, Kailang Wu, Yingle Liu, Yong Feng, Chengliang Zhu. Clin Chim Acta 2020
261
3
25

A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT Images.
Athanasios Voulodimos, Eftychios Protopapadakis, Iason Katsamenis, Anastasios Doulamis, Nikolaos Doulamis. Sensors (Basel) 2021
20
3
25

COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images.
Linda Wang, Zhong Qiu Lin, Alexander Wong. Sci Rep 2020
534
3
25

Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach.
Sara Hosseinzadeh Kassania, Peyman Hosseinzadeh Kassanib, Michal J Wesolowskic, Kevin A Schneidera, Ralph Detersa. Biocybern Biomed Eng 2021
37
3
25

Integrating emerging technologies into COVID-19 contact tracing: Opportunities, challenges and pitfalls.
Elliot Mbunge. Diabetes Metab Syndr 2020
36
2
16

Deep Learning applications for COVID-19.
Connor Shorten, Taghi M Khoshgoftaar, Borko Furht. J Big Data 2021
20
2
16

COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches.
Mesut Toğaçar, Burhan Ergen, Zafer Cömert. Comput Biol Med 2020
135
2
16

Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review.
Samuel Lalmuanawma, Jamal Hussain, Lalrinfela Chhakchhuak. Chaos Solitons Fractals 2020
142
2
16

A review of modern technologies for tackling COVID-19 pandemic.
Aishwarya Kumar, Puneet Kumar Gupta, Ankita Srivastava. Diabetes Metab Syndr 2020
66
2
16

Review on machine and deep learning models for the detection and prediction of Coronavirus.
Ahmad Waleed Salehi, Preety Baglat, Gaurav Gupta. Mater Today Proc 2020
17
2
16

An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images.
Dingding Wang, Jiaqing Mo, Gang Zhou, Liang Xu, Yajun Liu. PLoS One 2020
19
2
16

CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images.
Asif Iqbal Khan, Junaid Latief Shah, Mohammad Mudasir Bhat. Comput Methods Programs Biomed 2020
240
2
16

Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions.
Zifeng Yang, Zhiqi Zeng, Ke Wang, Sook-San Wong, Wenhua Liang, Mark Zanin, Peng Liu, Xudong Cao, Zhongqiang Gao, Zhitong Mai,[...]. J Thorac Dis 2020
369
2
16

Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables.
Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro Dos Santos Coelho. Chaos Solitons Fractals 2020
30
2
16

Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM.
Farah Shahid, Aneela Zameer, Muhammad Muneeb. Chaos Solitons Fractals 2020
56
2
16

Chest CT features and their role in COVID-19.
Meng Li. Radiol Infect Dis 2020
39
2
16

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng. Int J Med Inform 2020
49
2
16

Role of computed tomography in COVID-19.
Gianluca Pontone, Stefano Scafuri, Maria Elisabetta Mancini, Cecilia Agalbato, Marco Guglielmo, Andrea Baggiano, Giuseppe Muscogiuri, Laura Fusini, Daniele Andreini, Saima Mushtaq,[...]. J Cardiovasc Comput Tomogr 2021
34
2
16

Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification.
Feng Shi, Liming Xia, Fei Shan, Bin Song, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yichu He, Yaozong Gao,[...]. Phys Med Biol 2021
56
2
16

Artificial Intelligence (AI) applications for COVID-19 pandemic.
Raju Vaishya, Mohd Javaid, Ibrahim Haleem Khan, Abid Haleem. Diabetes Metab Syndr 2020
222
2
16

Deep learning approaches for COVID-19 detection based on chest X-ray images.
Aras M Ismael, Abdulkadir Şengür. Expert Syst Appl 2021
95
2
16

Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction.
Simon James Fong, Gloria Li, Nilanjan Dey, Rubén González Crespo, Enrique Herrera-Viedma. Appl Soft Comput 2020
46
2
16

Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review.
H Swapnarekha, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik. Chaos Solitons Fractals 2020
39
2
16

Classification of COVID-19 patients from chest CT images using multi-objective differential evolution-based convolutional neural networks.
Dilbag Singh, Vijay Kumar, Vaishali, Manjit Kaur. Eur J Clin Microbiol Infect Dis 2020
148
2
16

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
3648
2
16

COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images.
Ghulam Muhammad, M Shamim Hossain. Inf Fusion 2021
15
2
16

An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound.
Ankan Ghosh Dastider, Farhan Sadik, Shaikh Anowarul Fattah. Comput Biol Med 2021
10
2
20

Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks.
Ali Narin, Ceren Kaya, Ziynet Pamuk. Pattern Anal Appl 2021
292
2
16

Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.
Chaolin Huang, Yeming Wang, Xingwang Li, Lili Ren, Jianping Zhao, Yi Hu, Li Zhang, Guohui Fan, Jiuyang Xu, Xiaoying Gu,[...]. Lancet 2020
20844
2
16

Molecular and serological investigation of 2019-nCoV infected patients: implication of multiple shedding routes.
Wei Zhang, Rong-Hui Du, Bei Li, Xiao-Shuang Zheng, Xing-Lou Yang, Ben Hu, Yan-Yi Wang, Geng-Fu Xiao, Bing Yan, Zheng-Li Shi,[...]. Emerg Microbes Infect 2020
947
2
16

A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images.
Harsh Panwar, P K Gupta, Mohammad Khubeb Siddiqui, Ruben Morales-Menendez, Prakhar Bhardwaj, Vaishnavi Singh. Chaos Solitons Fractals 2020
64
2
16

Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence.
Ilker Ozsahin, Boran Sekeroglu, Musa Sani Musa, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin. Comput Math Methods Med 2020
46
2
16

Clinical Characteristics of Coronavirus Disease 2019 in China.
Wei-Jie Guan, Zheng-Yi Ni, Yu Hu, Wen-Hua Liang, Chun-Quan Ou, Jian-Xing He, Lei Liu, Hong Shan, Chun-Liang Lei, David S C Hui,[...]. N Engl J Med 2020
14000
2
16

CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection.
Abdul Waheed, Muskan Goyal, Deepak Gupta, Ashish Khanna, Fadi Al-Turjman, Placido Rogerio Pinheiro. IEEE Access 2020
117
2
16

Stacked-autoencoder-based model for COVID-19 diagnosis on CT images.
Daqiu Li, Zhangjie Fu, Jun Xu. Appl Intell (Dordr) 2021
10
2
20

Machine Learning and Deep Learning Approaches to Analyze and Detect COVID-19: A Review.
T Aishwarya, V Ravi Kumar. SN Comput Sci 2021
7
2
28


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.

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