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Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2025―Apr―26 |
Clinical decision support system for the early diagnosis and management of COVID-19 |
Dinesh P. Mital, Rodly Gaillard, Pravalika Nyalapatla |
| 2 |
[GO] |
2024―Dez―13 |
Analysis and trends of COVID-19 in Italy |
Cinzia Muriana, Giovan Battista Vizzini |
| 3 |
[GO] |
2024―Okt―15 |
SMART2C - a healthcare digital platform based on process mining for managing COVID-19 |
Sonia Ayachi Ghannouchi, Henda Hajjami Ben Ghezala, Yemna Sayeb, Sahar Toumia, Haifa Boudriga, Ricardo Martinho, et al. (+8) Marwa Seghaier, Hajer Chackroun, Emna Ammar, Asma Daassa, Amel Letaief, Wissem Hachfi, Asma Mejri, Nesrine Missaoui |
| 4 |
[GO] |
2024―Okt―03 |
Deep learning approaches in detection of COVID-19 using X-ray images |
Shibili Said, Mredhula Lokanathan |
| 5 |
[GO] |
2024―Mrz―03 |
A deep neural network-based architecture for automated detection of COVID-19 from chest X-ray images |
Abul Abbas Barbhuiya, Ram Kumar Karsh, Rahul Jain, Hillol Phukan |
| 6 |
[GO] |
2024―Mrz―03 |
Empirical assessment of COVID-19 infections and information diffusion: a data science approach |
Isaac Kofi Nti, Adebayo Felix Adekoya, Owusu Nyarko Boateng, Ponnadurai Ramasami |
| 7 |
[GO] |
2023―Dez―23 |
A conceptual model to improve the patient flow during COVID-19 |
Abdesselam Bougdira, Asmae Mazti, Hayat Sedrati, Fayssal Jhilal, Saaid Amzazi, Chakib Nejjari, Hassan Ghazal |
| 8 |
[GO] |
2023―Dez―08 |
Prediction of COVID-19 cases with epidemiological and time series models |
Rom Kant Pandey, Sanjeeb Prasad Panday, Anita Sharma, Aman Shakya |
| 9 |
[GO] |
2023―Okt―28 |
Multi-task deep neural network models for learning COVID-19 disease representations from multimodal data |
Veena Mayya, K. Karthik, Krishnananda Prabhu Karadka, S. Sowmya Kamath |
| 10 |
[GO] |
2023―Jun―20 |
Diagnosis of the COVID-19 with deep learning |
Taha Zerrouki, Djamil Aissani, Abderrahmane Baadache, Moulud Demouche |
| 11 |
[GO] |
2023―Jun―08 |
Efficacy and bioequivalence study of Zithromax and Azithral a drug for the treatment COVID-19 |
Hattab Youcef |
| 12 |
[GO] |
2023―Mai―05 |
Current status of hydroxychloroquine and azithromycin for the treatment of COVID-19: an observational review |
Prateek Pratyasha, Aditya Prasad Padhy |
| 13 |
[GO] |
2023―Apr―04 |
Current status of hydroxychloroquine and azithromycin for the treatment of COVID-19: an observational review |
Aditya Prasad Padhy, Prateek Pratyasha |
| 14 |
[GO] |
2023―Mrz―08 |
Class prediction of the prevalent transmission mode of COVID-19 within a geographic area |
Donald Douglas Atsa', N.A. am, Ruth Wario |
| 15 |
[GO] |
2023―Mrz―08 |
A comprehensive review on the diagnosis and testing strategies for coronavirus disease |
V. Ragul, Vishnu Priya Veeraraghavan, Krishna Mohan Surapaneni, Shanmugrathinam Alagarsamy, M.I. Niyas Ahamed |
| 16 |
[GO] |
2023―Mrz―08 |
Automatic detection of novel corona virus (SARS-CoV-2) infection in computed tomography scan based on local adaptive thresholding and kernel-support vectors |
Ritam Sharma, Janki Ballabh Sharma, Ranjan Maheshwari |
| 17 |
[GO] |
2022―Dez―01 |
Outbreak trends of fatality rate into coronavirus disease-2019 using deep learning |
Robin Singh Bhadoria, Yash Gupta, Ivan Perl |
| 18 |
[GO] |
2022―Nov―09 |
A comprehensive review on the diagnosis and testing strategies for coronavirus disease |
M.I. Niyas Ahamed, V. Ragul, Vishnu Priya Veeraraghavan, Shanmugrathinam Alagarsamy, Krishna Mohan Surapaneni |
| 19 |
[GO] |
2022―Nov―09 |
Automatic detection of novel corona virus (SARS-CoV-2) infection in computed tomography scan based on local adaptive thresholding and kernel-support vectors |
Ritam Sharma, Ranjan Maheshwari, Janki Ballabh Sharma |
| 20 |
[GO] |
2022―Sep―08 |
Impact of COVID-19 on individuals' mental health and preventive health behaviours: a conceptual framework |
Rajesh R. Pai, Naganna Chetty, Sreejith Alathur |
| 21 |
[GO] |
2022―Sep―08 |
Contactless non-invasive method to identify abnormal tongue area using <i>K</i>-mean and problem identification in COVID-19 scenario |
Pallavi Pahadiya, Ritu Vijay, Kumod Kumar Gupta, Shivani Saxena, Ritu Tandon |
| 22 |
[GO] |
2022―Aug―16 |
Analysis and trends of COVID-19 in Italy |
Cinzia Muriana, Giovan Battista Vizzini |
| 23 |
[GO] |
2022―Jul―22 |
Impact of COVID-19 on individuals' mental health and preventive health behaviours: a conceptual framework |
Naganna Chetty, Sreejith Alathur, Rajesh R. Pai |
| 24 |
[GO] |
2022―Jul―16 |
Deep learning approaches in detection of COVID-19 using X-ray images |
Mredhula Lokanathan, Shibili Said |
| 25 |
[GO] |
2022―Jul―06 |
COVID-19 detection through convolutional neural networks and chest X-ray images |
K. Venkata Subbareddy, L. Nirmala Devi |
| 26 |
[GO] |
2022―Jun―26 |
Outbreak trends of fatality rate into coronavirus disease-2019 using deep learning |
Robin Singh Bhadoria, Ivan Perl, Yash Gupta |
| 27 |
[GO] |
2022―Apr―20 |
Study of novel COVID-19 data using graph energy centrality: a soft computing approach |
S. Mahadevi, Shyam S. Kamath, D. Pushparaj Shetty |
| 28 |
[GO] |
2022―Mrz―01 |
Hierarchical cluster analysis of the morbidity and mortality of COVID-19 across 206 countries, territories and areas |
Donald Douglas Atsa', N.A. am, Ruth Wario |
| 29 |
[GO] |
2022―Mrz―01 |
An innovative deep learning approach for COVID-19 detection with X-ray images and infected user tracking through blockchain |
K. Vimal Kumar, Shriram K. Vasudevan, Nitin Vamsi Dantu |
| 30 |
[GO] |
2022―Feb―17 |
A deep neural network-based architecture for automated detection of COVID-19 from chest X-ray images |
Hillol Phukan, Rahul Jain, Ram Kumar Karsh, Abul Abbas Barbhuiya |
| 31 |
[GO] |
2022―Feb―14 |
An innovative deep learning approach for COVID-19 detection with X-ray images and infected user tracking through blockchain |
K. Vimal Kumar, Nitin Vamsi Dantu, Shriram K. Vasudevan |
| 32 |
[GO] |
2022―Feb―08 |
Empirical assessment of COVID-19 infections and information diffusion: a data science approach |
Ponnadurai Ramasami, Owusu Nyarko Boateng, Isaac Kofi Nti, Adebayo Felix Adekoya |
| 33 |
[GO] |
2022―Jan―05 |
A conceptual model to improve the patient flow during COVID-19 |
Chakib Nejjari, Saaid Amzazi, Fayssal Jhilal, Hayat Sedrati, Asmae Mazti, Abdesselam Bougdira, Hassan Ghazal |
| 34 |
[GO] |
2021―Dez―17 |
Multi-task deep neural network models for learning COVID-19 disease representations from multimodal data |
S. Sowmya Kamath, Krishnananda Prabhu Karadka, K. Karthik, Veena Mayya |
| 35 |
[GO] |
2021―Dez―03 |
Contact less non-invasive method to identify abnormal tongue area using K-mean and problem identification in COVID-19 scenario |
Ritu Vijay, Pallavi Pahadiya, Kumod Kumar Gupta, Shivani Saxena, Ritu Tandon |
| 36 |
[GO] |
2021―Sep―14 |
COVID-19 detection through convolutional neural networks and chest X-ray images |
L. Nirmala Devi, K. Venkata Subbareddy |
| 37 |
[GO] |
2021―Jun―17 |
Class prediction of the prevalent transmission mode of COVID-19 within a geographic area |
Ruth Wario, Donald Douglas Atsa'am |
| 38 |
[GO] |
2020―Nov―03 |
Hierarchical cluster analysis of the morbidity and mortality of COVID-19 across 206 countries, territories and areas |
Ruth Wario, Donald Douglas Atsa'am |
