Ashkan Ebadi

Orcid: 0000-0002-4542-9105

According to our database1, Ashkan Ebadi authored at least 37 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring.
Sensors, March, 2024

2023
Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis.
Sensors, October, 2023

COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound.
Sensors, March, 2023

Women and key positions in scientific collaboration networks: analyzing central scientists' profiles in the artificial intelligence ecosystem through a gender lens.
Scientometrics, February, 2023

COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images.
CoRR, 2023

2022
Gender-specific patterns in the artificial intelligence scientific ecosystem.
J. Informetrics, 2022

Detecting emerging technologies and their evolution using deep learning and weak signal analysis.
J. Informetrics, 2022

A Trustworthy Framework for Medical Image Analysis with Deep Learning.
CoRR, 2022

Detecting Emerging Technologies in Artificial Intelligence Scientific Ecosystem Using an Indicator-based Model.
CoRR, 2022

On the evolution of research in hypersonics: application of natural language processing and machine learning.
CoRR, 2022

Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography.
CoRR, 2022

Women, artificial intelligence, and key positions in collaboration networks: Towards a more equal scientific ecosystem.
CoRR, 2022

COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos.
CoRR, 2022

Improving Classification Model Performance on Chest X-Rays through Lung Segmentation.
CoRR, 2022

2021
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing.
Scientometrics, 2021

Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications.
CoRR, 2021

NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset.
CoRR, 2021

Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology.
CoRR, 2021

COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach.
CoRR, 2021

COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics.
CoRR, 2021

COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

2020
Application of machine learning techniques to assess the trends and alignment of the funded research output.
J. Informetrics, 2020

2019
A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time?
Soc. Netw. Anal. Min., 2019

How can Automated Machine Learning Help Business Data Science Teams?
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome.
CoRR, 2018

Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics.
CoRR, 2018

A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time?
CoRR, 2018

DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning.
CoRR, 2018

2017
DisTeam: A decision support tool for surgical team selection.
Artif. Intell. Medicine, 2017

Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016
iSEER: an intelligent automatic computer system for scientific evaluation of researchers.
Scientometrics, 2016

How to boost scientific production? A statistical analysis of research funding and other influencing factors.
Scientometrics, 2016

Self-Reflective Sentiment Analysis.
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016

2015
How to become an important player in scientific collaboration networks?
J. Informetrics, 2015

A Computer System for Automatic Evaluation of Researchers' Performance.
Proceedings of the 15th International Conference on Scientometrics and Informetrics, Istanbul, Turkey, June 29, 2015

2013
Effect of collaboration network structure on knowledge creation and technological performance: the case of biotechnology in Canada.
Scientometrics, 2013

Impact of Funding on Scientific Output and Collaboration: A Survey of Literature.
J. Inf. Knowl. Manag., 2013


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