Nastaran Enshaei

According to our database, Nastaran Enshaei authored at least 13 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

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, Farnoosh Naderkhani

Proceedings of the IEEE International Conference on Acoustics, 2022

A Generalization Enhancement Approach for Deep Learning Segmentation Models: Application in COVID-19 Lesion Segmentation from Chest CT Slices.

Nastaran Enshaei, Moezedin Javad Rafiee, Farnoosh Naderkhani

Proceedings of the 30th European Signal Processing Conference, 2022

2021

COVID-19 Low-Dose and Ultra-Low-Dose CT Scans.

Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, Faranak Babaki Fard, Reut Anconina, Konstantinos N. Plataniotis, Arash Mohammadi

Dataset, June, 2021

Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications.

Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis

IEEE Signal Process. Mag., 2021

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, Farnoosh Naderkhani, Moezedin Javad Rafiee, Faranak Babaki Fard, Kaveh Samimi, Seyed Farokh Atashzar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi

Frontiers Artif. Intell., 2021

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

Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Akbar Shafiee, Faranak Babaki Fard, Konstantinos N. Plataniotis, Arash Mohammadi

CoRR, 2021

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

Nastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee, Parnian Afshar, Shahin Heidarian, Arash Mohammadi, Konstantinos N. Plataniotis, Farnoosh Naderkhani

CoRR, 2021

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, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, Faranak Babaki Fard, Reut Anconina, Keyvan Farahani, Konstantinos N. Plataniotis, Arash Mohammadi

CoRR, 2021

2020

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

Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis

CoRR, 2020

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

Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi

CoRR, 2020

Automated detection of textured-surface defects using UNet-based semantic segmentation network.

Nastaran Enshaei, Safwan Ahmad, Farnoosh Naderkhani

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Integrated Deep Learning and Statistical Process Control for Online Monitoring of Manufacturing Processes.

Safwan Ahmad, Nastaran Enshaei, Farnoosh Naderkhani, Anjali Awasthi

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

2019

Application of Deep Learning for Fault Diagnostic in Induction Machine's Bearings.

Nastaran Enshaei, Farnoosh Naderkhani

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019