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Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2022―Jul―07 |
Detection of stage of lung changes in COVID-19 disease based on CT images: a radiomics approach |
Mohammad Mehrpouyan, Hamed Zamanian, Ghazal Mehri-Kakavand, Mohamad Pursamimi, Ahmad Shalbaf, Mahdi Ghorbani, Amirhossein Abbaskhani Davanloo |
| 2 |
[GO] |
2022―Mrz―14 |
Multi-task semantic segmentation of CT images for COVID-19 infections using DeepLabV3+ based on dilated residual network |
Hasan Polat |
| 3 |
[GO] |
2022―Jan―12 |
COVID-19 disease diagnosis from paper-based ECG trace image data using a novel convolutional neural network model |
Emrah Irmak |
| 4 |
[GO] |
2021―Dez―28 |
Book review: Medical Physics during the COVID-19 Pandemic - Global Perspectives in Clinical Practice, Education and Research, First Edition by Kwan Hoong Ng and Magdalena S. Stoeva |
Mohammad Mohammadi |
| 5 |
[GO] |
2021―Dez―17 |
Automated COVID-19 diagnosis and prognosis with medical imaging and who is publishing: a systematic review |
Ashley G. Gillman, Febrio Lunardo, Joseph Prinable, Gregg Belous, Aaron Nicolson, Hang Min, et al. (+2) Andrew Terhorst, Jason A. Dowling |
| 6 |
[GO] |
2021―Nov―15 |
Potential diagnosis of COVID-19 from chest X-ray and CT findings using semi-supervised learning |
Pracheta Sahoo, Indranil Roy, Randeep Ahlawat, Saquib Irtiza, Latifur Khan |
| 7 |
[GO] |
2021―Okt―05 |
AI-based diagnosis of COVID-19 patients using X-ray scans with stochastic ensemble of CNNs |
Ridhi Arora, Vipul Bansal, Himanshu Buckchash, Rahul Kumar, Vinodh J. Sahayasheela, Narayanan Narayanan, et al. (+2) Ganesh N. Pandian, Balasubramanian Raman |
| 8 |
[GO] |
2021―Jan―07 |
Hands-on engineering courses in the COVID-19 pandemic: adapting medical device design for remote learning |
Yanning Liu, Aishwarya Vijay, Steven M. Tommasini, Daniel Wiznia |
| 9 |
[GO] |
2020―Dez―10 |
Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images |
Khaled Bayoudh, Fayçal Hamdaoui, Abdellatif Mtibaa |
| 10 |
[GO] |
2020―Dez―04 |
StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images |
Pratik Autee, Sagar Bagwe, Vimal Shah, Kriti Srivastava |
| 11 |
[GO] |
2020―Okt―06 |
Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays |
Taban Majeed, Rasber Rashid, Dashti Ali, Aras Asaad |
| 12 |
[GO] |
2020―Aug―10 |
Low dose radiation therapy for COVID-19 pneumonia: brief review of the evidence |
Peter E. Metcalfe |
| 13 |
[GO] |
2020―Jul―27 |
Will COVID-19 change the way we teach medical physics post pandemic? |
A. Haworth, A. L. Fielding, S. Marsh, P. Rowshanfarzad, A. Santos, P. Metcalfe, R. Franich |
| 14 |
[GO] |
2020―Jul―20 |
How will COVID-19 change how we teach physics, post pandemic? |
Gerd E. Schröder-Turk, Deb M. Kane |
| 15 |
[GO] |
2020―Jul―13 |
Technique, radiation safety and image quality for chest X-ray imaging through glass and in mobile settings during the COVID-19 pandemic |
Zoe Brady, Heather Scoullar, Ben Grinsted, Kyle Ewert, Helen Kavnoudias, Alexander Jarema, et al. (+5) James Crocker, Rob Wills, Gillian Houston, Meng Law, Dinesh Varma |
| 16 |
[GO] |
2020―Jun―25 |
Truncated inception net: COVID-19 outbreak screening using chest X-rays |
Dipayan Das, K. C. Santosh, Umapada Pal |
| 17 |
[GO] |
2020―Apr―13 |
COVID-19 pandemic planning: considerations for radiation oncology medical physics |
May Whitaker, Tomas Kron, Matthew Sobolewski, Richard Dove |
| 18 |
[GO] |
2020―Apr―03 |
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks |
Ioannis D. Apostolopoulos, Tzani A. Mpesiana |
