Ashkan Ebadi

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Venues

Sensors (Basel, Switzerland)

Scientometrics

Concordia University

Concordia University (MSC)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Concordia University

Canada

Affiliate Assistant Professor :: CIISE

National Research Council Canada

Canada

Senior Research Officer :: Digital Technologies Research Centre

Pratt & Whitney

Canada

Lead Data Scientist

Provalis Research

Canada

Senior Researcher - Text Analytics

University of Florida

United States

Postdoctoral Associate :: College of Medicine

University of Florida

United States

Postdoctoral Associate :: Biomedical Engineering Department

Concordia University

Canada

Postdoctoral Research Fellow :: CIISE

Education History

Concordia University

Canada

MSC :: Computer Science

Concordia University Sep 01 2010 - Sep 01 2014

Canada

PHD :: CIISE

Publications

E Zhixuan Zeng, Ashkan Ebadi, Adrian Florea, Alexander Wong
COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring. Sensors (Basel, Switzerland) 24 (5) (2024)
E Zhixuan Zeng, Ashkan Ebadi, Adrian Florea, Alexander Wong
COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring. Sensors (Basel, Switzerland) 24 (5) (2024)
E Zhixuan Zeng, Ashkan Ebadi, Adrian Florea, Alexander Wong
COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring. Sensors (Basel, Switzerland) 24 (5) (2024)
Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. Sensors (Basel, Switzerland) 23 (5) (2023)
Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. Sensors (Basel, Switzerland) 23 (5) (2023)
Kai Ma, Siyuan He, Grant Sinha, Ashkan Ebadi, Adrian Florea, Stéphane Tremblay, Alexander Wong, Pengcheng Xi
Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. Sensors (Basel, Switzerland) 23 (19) (2023)
Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. Sensors (Basel, Switzerland) 23 (5) (2023)
Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. Sensors (Basel, Switzerland) 23 (5) (2023)
Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. Scientometrics (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ashkan Ebadi