|
Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
1 |
[GO] |
2024―Dez―29 |
DEELE-Rad: exploiting deep radiomics features in deep learning models using COVID-19 chest X-ray images |
Márcus V. L. Costa, Erikson J. de Aguiar, Lucas S. Rodrigues, Caetano Traina, Agma J. M. Traina |
2 |
[GO] |
2024―Mrz―09 |
Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN |
Kranthi Kumar Lella, M. S. Jagadeesh, P. J. A. Alphonse |
3 |
[GO] |
2023―Jun―23 |
Leveraging twitter data to understand nurses’ emotion dynamics during the COVID-19 pandemic |
Jianlong Zhou, Suzanne Sheppard-Law, Chun Xiao, Judith Smith, Aimee Lamb, Carmen Axisa, Fang Chen |
4 |
[GO] |
2023―Mrz―26 |
Towards data-driven tele-medicine intelligence: community-based mental healthcare paradigm shift for smart aging amid COVID-19 pandemic |
Lan Cheng, WK Chan, Yi Peng, Harry Qin |
5 |
[GO] |
2022―Aug―24 |
Clinical and epidemiological investigation of a child with asymptomatic COVID-19 infection following reoccurrence |
Qiu-Yu Lin, Guo-Tian Lin, Fan Zhang, Xia-Yu Xiang, Yue-Hua Zhang, Jia-Chong Wang, et al. (+4) Yu-Ming Jin, Yuan-ping Hai, Zhi-Yue Lv, Wei Xiang |
6 |
[GO] |
2022―Jul―13 |
Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+BiLSTM |
Chaohui Guo, Shaofu Lin, Zhisheng Huang, Yahong Yao |
7 |
[GO] |
2022―Jan―24 |
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network |
Tawsifur Rahman, Alex Akinbi, Muhammad E. H. Chowdhury, Tarik A. Rashid, Abdulkadir Şengür, Amith Khandakar, et al. (+2) Khandaker Reajul Islam, Aras M. Ismael |
8 |
[GO] |
2021―Okt―23 |
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count |
Andrea Campagner, Anna Carobene, Federico Cabitza |
9 |
[GO] |
2021―Okt―13 |
COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network |
Vasilis Nikolaou, Sebastiano Massaro, Masoud Fakhimi, Lampros Stergioulas, Wolfgang Garn |
10 |
[GO] |
2021―Aug―14 |
Predicting special care during the COVID-19 pandemic: a machine learning approach |
Vitor P. Bezzan, Cleber D. Rocco |
11 |
[GO] |
2021―Jul―09 |
SpecMEn-DL: spectral mask enhancement with deep learning models to predict COVID-19 from lung ultrasound videos |
Farhan Sadik, Ankan Ghosh Dastider, Shaikh Anowarul Fattah |
12 |
[GO] |
2021―Jun―25 |
Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning |
Yang Liu, Christopher Whitfield, Tianyang Zhang, Amanda Hauser, Taeyonn Reynolds, Mohd Anwar |
13 |
[GO] |
2021―Jun―18 |
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis |
Chiranjibi Sitaula, Sunil Aryal |
14 |
[GO] |
2021―Mai―11 |
Fast prototyping of a local fuzzy search system for decision support and retraining of hospital staff during pandemic |
Evgeny A. Bakin, Oksana V. Stanevich, Daria M. Danilenko, Dmitry A. Lioznov, Alexander N. Kulikov |
15 |
[GO] |
2021―Apr―13 |
Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies |
Alex Akinbi, Mark Forshaw, Victoria Blinkhorn |
16 |
[GO] |
2021―Apr―01 |
COVID-19 infection map generation and detection from chest X-ray images |
Aysen Degerli, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad E. H. Chowdhury, Khalid Hameed, et al. (+3) Tahir Hamid, Rashid Mazhar, Moncef Gabbouj |
17 |
[GO] |
2021―Feb―20 |
Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network |
Wenjun Tan, Pan Liu, Xiaoshuo Li, Yao Liu, Qinghua Zhou, Chao Chen, et al. (+3) Zhaoxuan Gong, Xiaoxia Yin, Yanchun Zhang |
18 |
[GO] |
2021―Jan―18 |
Epidemiological investigation of a COVID-19 family cluster outbreak transmitted by a 3-month-old infant |
Guo-tian Lin, Yue-hua Zhang, Mei-fang Xiao, Yong Wei, Jin-ni Chen, Dao-jiong Lin, et al. (+13) Jia-chong Wang, Qiu-yu Lin, Zhi-xian Lei, Zhen-qiong Zeng, Ling Li, Hong-ai Li, Ying Zheng, Qiu-qiong Li, Huang-zhen Zhen, Yu-ming Jin, Qing-xia Wu, Fan Zhang, Wei Xiang |
19 |
[GO] |
2020―Nov―22 |
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning? |
Tuan D. Pham |
20 |
[GO] |
2020―Okt―15 |
Impact of COVID-19 prevalence and mode of transmission on mortality cases over WHO regions |
Olusola Samuel Makinde, Olubukola Olayemi Olusola-Makinde, Emmanuel Idowu Olamide, Gbenga Jacob Abiodun |
21 |
[GO] |
2020―Okt―15 |
How can social media analytics assist authorities in pandemic-related policy decisions? Insights from Australian states and territories |
Tan Yigitcanlar, Nayomi Kankanamge, Alexander Preston, Palvinderjit Singh Gill, Maqsood Rezayee, Mahsan Ostadnia, et al. (+2) Bo Xia, Giuseppe Ioppolo |
22 |
[GO] |
2020―Sep―30 |
Analysis of the global situation of COVID-19 research based on bibliometrics |
Fan Yang, Shuaijie Zhang, Qing Wang, Qi Zhang, Junming Han, Lijie Wang, et al. (+2) Xinying Wu, Fuzhong Xue |
23 |
[GO] |
2020―Sep―29 |
The investigation of multiresolution approaches for chest X-ray image based COVID-19 detection |
Aras M. Ismael, Abdulkadir Şengür |
24 |
[GO] |
2020―Sep―28 |
Estimation of infection density and epidemic size of COVID-19 using the back-calculation algorithm |
Yukun Liu, Jing Qin, Yan Fan, Yong Zhou, Dean A. Follmann, Chiung-Yu Huang |
25 |
[GO] |
2020―Sep―21 |
PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images |
Nihad K. Chowdhury, Md. Muhtadir Rahman, Muhammad Ashad Kabir |