| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A deep convolutional neural network for COVID-19 detection using chest X-rays
|
Bassi, Pedro R. A. S.
|
|
|
38 |
1 |
p. 139-148
|
artikel
|
| 2 |
An additive manufacturing fabricated a split Pitot tube transducer for mechanical ventilator analyzers
|
de Andrade, Luiz A. K.
|
|
|
38 |
1 |
p. 317-324
|
artikel
|
| 3 |
Application of machine learning time series analysis for prediction COVID-19 pandemic
|
Chaurasia, Vikas
|
|
|
38 |
1 |
p. 35-47
|
artikel
|
| 4 |
Blockchain technology and its applications to combat COVID-19 pandemic
|
Sharma, Abhishek
|
|
|
38 |
1 |
p. 173-180
|
artikel
|
| 5 |
Cadaveric skull and tissue cutting manipulator: autopsy equipment that provides safety against airborne infection and COVID-19
|
Jumlongkul, Arnon
|
|
|
38 |
1 |
p. 29-34
|
artikel
|
| 6 |
CCBlock: an effective use of deep learning for automatic diagnosis of COVID-19 using X-ray images
|
Al-Bawi, Ali
|
|
|
38 |
1 |
p. 49-58
|
artikel
|
| 7 |
Chaotic model for COVID-19 growth factor
|
e Fernandes, Thiago de Salazar
|
|
|
38 |
1 |
p. 299-303
|
artikel
|
| 8 |
Compartmentalized mathematical model to predict future number of active cases and deaths of COVID-19
|
Pinto Neto, Osmar
|
|
|
38 |
1 |
p. 1-14
|
artikel
|
| 9 |
COVID-19 classification in X-ray chest images using a new convolutional neural network: CNN-COVID
|
de Sousa, Pedro Moisés
|
|
|
38 |
1 |
p. 87-97
|
artikel
|
| 10 |
3D printing for development of medical equipment amidst coronavirus (COVID-19) pandemic—review and advancements
|
Irfan Ul Haq, Mir
|
|
|
38 |
1 |
p. 305-315
|
artikel
|
| 11 |
Effectiveness and quality analysis of methods in studies for the treatment of COVID-19
|
Milagre, Selma Terezinha
|
|
|
38 |
1 |
p. 229-241
|
artikel
|
| 12 |
Emerging technologies and their roles during the COVID-19 pandemic and safety challenges of frontline medical staff: a rapid review
|
Hasnain, Muhammad
|
|
|
38 |
1 |
p. 279-291
|
artikel
|
| 13 |
Fractal signature of coronaviruses related to severe acute respiratory syndrome
|
de Salazar e Fernandes, Thiago
|
|
|
38 |
1 |
p. 293-297
|
artikel
|
| 14 |
Heg.IA: an intelligent system to support diagnosis of Covid-19 based on blood tests
|
de Freitas Barbosa, Valter Augusto
|
|
|
38 |
1 |
p. 99-116
|
artikel
|
| 15 |
IKONOS: an intelligent tool to support diagnosis of COVID-19 by texture analysis of X-ray images
|
Gomes, Juliana C.
|
|
|
38 |
1 |
p. 15-28
|
artikel
|
| 16 |
Machine learning based prognostic model and mobile application software platform for predicting infection susceptibility of COVID-19 using healthcare data
|
Srivatsan, R.
|
|
|
38 |
1 |
p. 59-70
|
artikel
|
| 17 |
Molecular modeling of natural and synthesized inhibitors against SARS-CoV-2 spike glycoprotein
|
Jomhori, Masume
|
|
|
38 |
1 |
p. 71-86
|
artikel
|
| 18 |
Non-pharmacological treatments for COVID-19: current status and consensus
|
Pereira, Adriano Alves
|
|
|
38 |
1 |
p. 193-208
|
artikel
|
| 19 |
On the use of telemedicine in the context of COVID-19: legal aspects and a systematic review of technology
|
de Oliveira Andrade, Adriano
|
|
|
38 |
1 |
p. 209-227
|
artikel
|
| 20 |
Open-source hardware to face COVID-19 pandemic: the need to do more and better
|
Santos, Maikon Lorran
|
|
|
38 |
1 |
p. 127-138
|
artikel
|
| 21 |
Postgraduates of the biomedical engineering program at the University of Brasília, Faculty of Gama: who are they?
|
Abreu, Deniz Helena Pereira
|
|
|
38 |
1 |
p. 163-171
|
artikel
|
| 22 |
Role of gut-lung microbiome crosstalk in COVID-19
|
Srinath, B. S.
|
|
|
38 |
1 |
p. 181-191
|
artikel
|
| 23 |
Significance of deep learning for Covid-19: state-of-the-art review
|
Nayak, Janmenjoy
|
|
|
38 |
1 |
p. 243-266
|
artikel
|
| 24 |
Target SARS-CoV-2: computation of binding energies with drugs of dexamethasone/umifenovir by molecular dynamics using OPLS-AA force field
|
Nayeem, Sk. Md
|
|
|
38 |
1 |
p. 117-126
|
artikel
|
| 25 |
“The role of a negative pressure ventilator coupled with oxygen helmet against COVID-19: a review”
|
Chandrasekaran, Kathiresan
|
|
|
38 |
1 |
p. 267-278
|
artikel
|
| 26 |
Towards an effective and efficient deep learning model for COVID-19 patterns detection in X-ray images
|
Luz, Eduardo
|
|
|
38 |
1 |
p. 149-162
|
artikel
|
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