Arae: Adversarially robust training of autoencoders improves novelty detection
Autoencoders have recently been widely employed to approach the novelty detection
problem. Trained only on the normal data, the AE is expected to reconstruct the normal data …
problem. Trained only on the normal data, the AE is expected to reconstruct the normal data …
Multiresolution knowledge distillation for anomaly detection
Unsupervised representation learning has proved to be a critical component of anomaly
detection/localization in images. The challenges to learn such a representation are two-fold. …
detection/localization in images. The challenges to learn such a representation are two-fold. …
A unified survey on anomaly, novelty, open-set, and out-of-distribution detection: Solutions and future challenges
Machine learning models often encounter samples that are diverged from the training
distribution. Failure to recognize an out-of-distribution (OOD) sample, and consequently assign …
distribution. Failure to recognize an out-of-distribution (OOD) sample, and consequently assign …
Oropharyngeal candidiasis in hospitalised COVID‐19 patients from Iran: Species identification and antifungal susceptibility pattern
Background Emergence of coronavirus disease 2019 (COVID‐19) is a major healthcare threat.
Apparently, the novel coronavirus (SARS‐CoV‐2) is armed by special abilities to spread …
Apparently, the novel coronavirus (SARS‐CoV‐2) is armed by special abilities to spread …
The double‐edged sword of systemic corticosteroid therapy in viral pneumonia: A case report and comparative review of influenza‐associated mucormycosis versus …
Acute respiratory distress syndrome is a common complication of severe viral pneumonia,
such as influenza and COVID‐19, that requires critical care including ventilatory support, use …
such as influenza and COVID‐19, that requires critical care including ventilatory support, use …
Puzzle-ae: Novelty detection in images through solving puzzles
Autoencoder, as an essential part of many anomaly detection methods, is lacking flexibility
on normal data in complex datasets. U-Net is proved to be effective for this purpose but …
on normal data in complex datasets. U-Net is proved to be effective for this purpose but …
Antifungal susceptibility, genotyping, resistance mechanism, and clinical profile of Candida tropicalis blood isolates
…, A Charsizadeh, H Zarrinfar, M Salehi… - Medical …, 2020 - academic.oup.com
Candida tropicalis is one of the major candidaemia agents, associated with the highest
mortality rates among Candida species, and developing resistance to azoles. Little is known …
mortality rates among Candida species, and developing resistance to azoles. Little is known …
[HTML][HTML] Safety and effectiveness of high-dose vitamin C in patients with COVID-19: a randomized open-label clinical trial
Background Vitamin C is an essential water-soluble nutrient that functions as a key antioxidant
and has been proven to be effective for boosting immunity. In this study, we aimed to …
and has been proven to be effective for boosting immunity. In this study, we aimed to …
[HTML][HTML] Intravenous methylprednisolone pulse as a treatment for hospitalised severe COVID-19 patients: results from a randomised controlled clinical trial
Introduction There are no determined treatment agents for severe COVID-19. It is suggested
that methylprednisolone, as an immunosuppressive treatment, can reduce the inflammation …
that methylprednisolone, as an immunosuppressive treatment, can reduce the inflammation …
Maternal death due to COVID-19
Background Despite 2.5 million infections and 169,000 deaths worldwide (as of April 20,
2020), no maternal deaths and only a few pregnant women afflicted with severe respiratory …
2020), no maternal deaths and only a few pregnant women afflicted with severe respiratory …