Nastaran Enshaei

402 total citations
13 papers, 230 citations indexed

About

Nastaran Enshaei is a scholar working on Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Nastaran Enshaei has authored 13 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Control and Systems Engineering and 3 papers in Civil and Structural Engineering. Recurrent topics in Nastaran Enshaei's work include COVID-19 diagnosis using AI (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Machine Fault Diagnosis Techniques (3 papers). Nastaran Enshaei is often cited by papers focused on COVID-19 diagnosis using AI (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Machine Fault Diagnosis Techniques (3 papers). Nastaran Enshaei collaborates with scholars based in Canada, United States and Sweden. Nastaran Enshaei's co-authors include Farnoosh Naderkhani, Arash Mohammadi, Konstantinos N. Plataniotis, Anastasia Oikonomou, Parnian Afshar, Shahin Heidarian, Moezedin Javad Rafiee, Svetlana Yanushkevich, Yingxu Wang and Anjali Awasthi and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Signal Processing Magazine.

In The Last Decade

Nastaran Enshaei

12 papers receiving 224 citations

Peers

Countries citing papers authored by Nastaran Enshaei

Since Specialization

Citations

This map shows the geographic impact of Nastaran Enshaei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nastaran Enshaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nastaran Enshaei more than expected).

Fields of papers citing papers by Nastaran Enshaei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nastaran Enshaei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nastaran Enshaei. The network helps show where Nastaran Enshaei may publish in the future.

Co-authorship network of co-authors of Nastaran Enshaei

This figure shows the co-authorship network connecting the top 25 collaborators of Nastaran Enshaei. A scholar is included among the top collaborators of Nastaran Enshaei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nastaran Enshaei. Nastaran Enshaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Differentiation of COVID-19 from other types of viral pneumonia and severity scoring on baseline chest radiographs: Comparison of deep learning with multi-reader evaluation 2025 ·PLoS ONE ·Nastaran Enshaei, Arash Mohammadi, Farnoosh Naderkhani, Nick Daneman, (unknown), Reut Anconina, Ferco H. Berger, Robert Kozak, Samira Mubareka, (unknown), (unknown), (unknown), Adrienne K. Chan, Philip W. Lam, Nisha Andany, Anastasia Oikonomou	1
2	ICPHM’23 Benchmark Vibration Dataset Applicable in Machine Learning for Systems’ Health Monitoring 2024 ·Nastaran Enshaei, Haizhou Chen, Farnoosh Naderkhani, (unknown), (unknown), (unknown), (unknown), (unknown), Christian Hansen, (unknown)	3
3	The Role of Data Quality for Reliable AI Performance in Medical Applications 2024 ·Nastaran Enshaei, Farnoosh Naderkhani	4
4	Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network 2022 ·Scientific Reports ·Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, (unknown), Reut Anconina, Keyvan Farahani, Konstantinos N. Plataniotis, Arash Mohammadi	13
5	COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images 2022 ·Scientific Reports ·Nastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee, Parnian Afshar, Shahin Heidarian, Arash Mohammadi, Konstantinos N. Plataniotis, Farnoosh Naderkhani	20
6	Data Shapley Value for Handling Noisy Labels: An Application in Screening Covid-19 Pneumonia from Chest CT Scans 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Nastaran Enshaei, Moezedin Javad Rafiee, Arash Mohammadi, Farnoosh Naderkhani	1
7	COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning 2021 ·Scientific Data ·Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, (unknown), (unknown), Konstantinos N. Plataniotis, Arash Mohammadi	134
8	An Ensemble Learning Framework For Multi-Class Covid-19 Lesion Segmentation From Chest Ct Images 2021 ·Nastaran Enshaei, Parnian Afshar, Shahin Heidarian, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, (unknown), Konstantinos N. Plataniotis, Farnoosh Naderkhani	5
9	Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications 2021 ·IEEE Signal Processing Magazine ·Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Javad Rafiee, (unknown), Svetlana Yanushkevich, Konstantinos N. Plataniotis	12
10	Automated detection of textured-surface defects using UNet-based semantic segmentation network 2020 ·Nastaran Enshaei, (unknown), Farnoosh Naderkhani	22
11	Integrated Deep Learning and Statistical Process Control for Online Monitoring of Manufacturing Processes 2020 ·(unknown), Nastaran Enshaei, Farnoosh Naderkhani, Anjali Awasthi	3
12	Application of Deep Learning for Fault Diagnostic in Induction Machine’s Bearings 2019 ·Nastaran Enshaei, Farnoosh Naderkhani	12
13	A Comprehensive Review on Advanced Maintenance Strategies for Smart Railways 2019 ·Advances in logistics, operations, and management science book series ·Nastaran Enshaei, Amin Hammad, Farnoosh Naderkhani	0

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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