Faculty profile
Farnoosh Naderkhani
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Research
Latest papers
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.
PloS one · 2025
Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals.
Scientific reports · 2023
Robust framework for COVID-19 identication from a multicenter dataset of chest CT scans.
PloS one · 2023
Latest funding
- $72,000
Transparent access to venture capital: Rating and index system for enhanced investor decision-making
NSERC · 2024 · Principal investigator
- $12,500
Advanced Machine Learning Techniques for Fault Diagnostics and Prognostics: From Modern Complex Manufacturing Systems to Healthcare
NSERC · 2019 · Principal investigator
- $182,000
Advanced Machine Learning Techniques for Fault Diagnostics and Prognostics: From Modern Complex Manufacturing Systems to Healthcare
NSERC · 2019 · Principal investigator
10 publications.
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.
Enshaei N, Mohammadi A, Naderkhani F, Daneman N, Abu Mughli R, Anconina R, Berger FH, Kozak RA, Mubareka S, Villanueva Campos AM, Narang K, Vivekanandan T, Chan AK, Lam P, Andany N, Oikonomou A
Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals.
Montazerin M, Rahimian E, Naderkhani F, Atashzar SF, Yanushkevich S, Mohammadi A
Robust framework for COVID-19 identication from a multicenter dataset of chest CT scans.
Khademi S, Heidarian S, Afshar P, Enshaei N, Naderkhani F, Rafiee MJ, Oikonomou A, Shafiee A, Babaki Fard F, Plataniotis KN, Mohammadi A
Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network.
Afshar P, Rafiee MJ, Naderkhani F, Heidarian S, Enshaei N, Oikonomou A, Babaki Fard F, Anconina R, Farahani K, Plataniotis KN, Mohammadi A
COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images.
Enshaei N, Oikonomou A, Rafiee MJ, Afshar P, Heidarian S, Mohammadi A, Plataniotis KN, Naderkhani F
COVID19-HPSMP : COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction.
Ronaghi F, Salimibeni M, Naderkhani F, Mohammadi A
COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans.
Heidarian S, Afshar P, Enshaei N, Naderkhani F, Rafiee MJ, Babaki Fard F, Samimi K, Atashzar SF, Oikonomou A, Plataniotis KN, Mohammadi A
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning.
Afshar P, Heidarian S, Enshaei N, Naderkhani F, Rafiee MJ, Oikonomou A, Fard FB, Samimi K, Plataniotis KN, Mohammadi A
COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images.
Afshar P, Heidarian S, Naderkhani F, Oikonomou A, Plataniotis KN, Mohammadi A
3D-MCN: A 3D Multi-scale Capsule Network for Lung Nodule Malignancy Prediction.
Afshar P, Oikonomou A, Naderkhani F, Tyrrell PN, Plataniotis KN, Farahani K, Mohammadi A
Transparent access to venture capital: Rating and index system for enhanced investor decision-making
Principal investigators: Naderkhani, Farnoosh
Keywords: Information systems and technology
Advanced Machine Learning Techniques for Fault Diagnostics and Prognostics: From Modern Complex Manufacturing Systems to Healthcare
Principal investigators: Naderkhani, Farnoosh
Advanced Machine Learning Techniques for Fault Diagnostics and Prognostics: From Modern Complex Manufacturing Systems to Healthcare
Principal investigators: Naderkhani, Farnoosh
Keywords: condition-based maintenance; quality control; reliability estimation; remaining useful life; diagnostics and prognostics; optimal control policy; machine learning; high-dimensional data; conditional monitoring; healthcare
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Nick Daneman and Samira Mubareka: 17 shared papers
- Nick Daneman and Nisha Andany: 13 shared papers
- Farnoosh Naderkhani and Arash Mohammadi: 10 shared papers
- Samira Mubareka and Nisha Andany: 5 shared papers
- Nick Daneman and Farnoosh Naderkhani: 1 shared paper
- Nick Daneman and Arash Mohammadi: 1 shared paper
- Samira Mubareka and Farnoosh Naderkhani: 1 shared paper
- Samira Mubareka and Arash Mohammadi: 1 shared paper
- Nisha Andany and Farnoosh Naderkhani: 1 shared paper
- Farnoosh Naderkhani and Svetlana Yanushkevich: 1 shared paper
- Svetlana Yanushkevich and Arash Mohammadi: 1 shared paper
- Concordia Institute for Information System Engineering (CIISE)
- Concordia Institute of Information System Engineering
- Infectious Diseases/Internal Medicine
- Medicine
- Department of Laboratory Medicine and Pathobiology
- Electrical and Computer Engineering
Co-authors at Concordia University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Arash Mohammadi
Concordia Institute of Information System Engineering
10 shared papers, latest 2025
Svetlana Yanushkevich
Electrical and Computer Engineering
1 shared papers, latest 2023
Nick Daneman
Infectious Diseases/Internal Medicine
1 shared papers, latest 2025
Samira Mubareka
Department of Laboratory Medicine and Pathobiology
1 shared papers, latest 2025
Nisha Andany
Medicine
1 shared papers, latest 2025
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