most citedCOVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning

19 citations · 24 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2021

Data Shapley Value for Handling Noisy Labels: An application in Screening COVID-19 Pneumonia from Chest CT Scans

Nastaran Enshaei, Moezedin Javad Rafiee, Arash Mohammadi +1

A long-standing challenge of deep learning models involves how to handle noisy labels, especially in applications where human lives are at stake. Adoption of the data Shapley Value…

eess.IV2021★ 1 cited

Robust Framework for COVID-19 Identification from a Multicenter Dataset of Chest CT Scans

Sadaf Khademi, Shahin Heidarian, Parnian Afshar +8

The objective of this study is to develop a robust deep learning-based framework to distinguish COVID-19, Community-Acquired Pneumonia (CAP), and Normal cases based on chest CT sca…

eess.IV2021★ 1 cited

COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans

Nastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee +5

Novel Coronavirus disease (COVID-19) is a highly contagious respiratory infection that has had devastating effects on the world. Recently, new COVID-19 variants are emerging making…

eess.IV2021

Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network

Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani +8

Reverse transcription-polymerase chain reaction (RT-PCR) is currently the gold standard in COVID-19 diagnosis. It can, however, take days to provide the diagnosis, and false negati…

eess.IV2020★ 3 cited

Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications

Arash Mohammadi, Yingxu Wang, Nastaran Enshaei +7

The novel Coronavirus disease, COVID-19, has rapidly and abruptly changed the world as we knew in 2020. It becomes the most unprecedent challenge to analytic epidemiology in genera…

eess.IV2020

COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans

Shahin Heidarian, Parnian Afshar, Nastaran Enshaei +8

The newly discovered Corona virus Disease 2019 (COVID-19) has been globally spreading and causing hundreds of thousands of deaths around the world as of its first emergence in late…