COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring - E. Zhixuan Zeng; Ashkan Ebadi; Adrian Florea; Alexander Wong (Sensors, 2024)

Proximity Matters: Analyzing the Role of Geographical Proximity in Shaping AI Research Collaborations - Mohammadmahdi Toobaee; Andrea Schiffauerova; Ashkan Ebadi (CoRR, 2024)

Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks - Neel Patel; Alexander Wong; Ashkan Ebadi (CoRR, 2024)

Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach - Koosha Shirouyeh; Andrea Schiffauerova; Ashkan Ebadi (CoRR, 2024)

WISDOM: An AI-powered framework for emerging research detection using weak signal analysis and advanced topic modeling - Ashkan Ebadi; Alain Auger; Yvan Gauthier (CoRR, 2024)

Women and key positions in scientific collaboration networks: analyzing central scientists' profiles in the artificial intelligence ecosystem through a gender lens - Anahita Hajibabaei; Andrea Schiffauerova; Ashkan Ebadi (Scientometrics, 2023)

COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound - Jessy Song; Ashkan Ebadi; Adrian Florea; Pengcheng Xi; Stéphane Tremblay; Alexander Wong (Sensors, 2023)

Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis - Kai Ma; Siyuan He; Grant Sinha; Ashkan Ebadi; Adrian Florea; Stéphane Tremblay; Alexander Wong; Pengcheng Xi (Sensors, 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 - Jessy Song; Ashkan Ebadi; Adrian Florea; Pengcheng Xi; Stéphane Tremblay; Alexander Wong (CoRR, 2023)

Gender-specific patterns in the artificial intelligence scientific ecosystem - Anahita Hajibabaei; Andrea Schiffauerova; Ashkan Ebadi (J. Informetrics, 2022)

Detecting emerging technologies and their evolution using deep learning and weak signal analysis - Ashkan Ebadi; Alain Auger; Yvan Gauthier (J. Informetrics, 2022)

Improving Classification Model Performance on Chest X-Rays through Lung Segmentation - Hilda Azimi; Jianxing Zhang; Pengcheng Xi; Hala As'ad; Ashkan Ebadi; Stéphane Tremblay; Alexander Wong (CoRR, 2022)

Detecting Emerging Technologies and their Evolution using Deep Learning and Weak Signal Analysis - Ashkan Ebadi; Alain Auger; Yvan Gauthier (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 - Hilda Azimi; Ashkan Ebadi; Jessy Song; Pengcheng Xi; Alexander Wong (CoRR, 2022)

Women, artificial intelligence, and key positions in collaboration networks: Towards a more equal scientific ecosystem - Anahita Hajibabaei; Andrea Schiffauerova; Ashkan Ebadi (CoRR, 2022)

Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography - Kai Ma; Pengcheng Xi; Karim Habashy; Ashkan Ebadi; Stéphane Tremblay; Alexander Wong (CoRR, 2022)

On the evolution of research in hypersonics: application of natural language processing and machine learning - Ashkan Ebadi; Alain Auger; Yvan Gauthier (CoRR, 2022)

Detecting Emerging Technologies in Artificial Intelligence Scientific Ecosystem Using an Indicator-based Model - Ali Ghaemmaghami; Andrea Schiffauerova; Ashkan Ebadi (CoRR, 2022)

A Trustworthy Framework for Medical Image Analysis with Deep Learning - Kai Ma; Siyuan He; Pengcheng Xi; Ashkan Ebadi; Stéphane Tremblay; Alexander Wong (CoRR, 2022)

Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing - Ashkan Ebadi; Pengcheng Xi; Stéphane Tremblay; Bruce Spencer; Raman Pall; Alexander Wong (Scientometrics, 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 - Alexander MacLean; Saad Abbasi; Ashkan Ebadi; Andy Zhao; Maya Pavlova; Hayden Gunraj; Pengcheng Xi; Sonny Kohli; Alexander Wong (Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings, 2021)

COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics - Ashkan Ebadi; Pengcheng Xi; Alexander MacLean; Stéphane Tremblay; Sonny Kohli; Alexander Wong (CoRR, 2021)

COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach - Jianxing Zhang; Pengcheng Xi; Ashkan Ebadi; Hilda Azimi; Stéphane Tremblay; Alexander Wong (CoRR, 2021)

Gender-Specific Patterns in the Artificial Intelligence Scientific Ecosystem - Anahita Hajibabaei; Andrea Schiffauerova; Ashkan Ebadi (CoRR, 2021)

Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology - Elva Luz Crespo Neira; Ashkan Ebadi; Catherine Beaudry; Andrea Schiffauerova (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 - Alexander MacLean; Saad Abbasi; Ashkan Ebadi; Andy Zhao; Maya Pavlova; Hayden Gunraj; Pengcheng Xi; Sonny Kohli; Alexander Wong (CoRR, 2021)

NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset - Ashkan Ebadi; Patrick Paul; Sofia Auer; Stéphane Tremblay (CoRR, 2021)

Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications - Siyuan He; Pengcheng Xi; Ashkan Ebadi; Stéphane Tremblay; Alexander Wong (CoRR, 2021)

Application of machine learning techniques to assess the trends and alignment of the funded research output - Ashkan Ebadi; Stéphane Tremblay; Cyril Goutte; Andrea Schiffauerova (J. Informetrics, 2020)

Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing - Ashkan Ebadi; Pengcheng Xi; Stéphane Tremblay; Bruce Spencer; Raman Pall; Alexander Wong (CoRR, 2020)

A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time? - Ashkan Ebadi; Patrick James Tighe; Lei Zhang; Parisa Rashidi (Soc. Netw. Anal. Min., 2019)

How can Automated Machine Learning Help Business Data Science Teams? - Ashkan Ebadi; Yvan Gauthier; Stéphane Tremblay; Patrick Paul (18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019, 2019)

DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning - Benjamin Shickel; Tyler J. Loftus; Tezcan Ozrazgat-Baslanti; Ashkan Ebadi; Azra Bihorac; Parisa Rashidi (CoRR, 2018)

A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time? - Ashkan Ebadi; Patrick James Tighe; Lei Zheng; Parisa Rashidi (CoRR, 2018)

Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics - Lasith Adhikari; Tezcan Ozrazgat-Baslanti; Paul Thottakkara; Ashkan Ebadi; Amir Motaei; Parisa Rashidi; Xiaolin Li; Azra Bihorac (CoRR, 2018)

Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome - Ashkan Ebadi; Patrick James Tighe; Lei Zhang; Parisa Rashidi (CoRR, 2018)

DisTeam: A decision support tool for surgical team selection - Ashkan Ebadi; Patrick James Tighe; Lei Zhang; Parisa Rashidi (Artif. Intell. Medicine, 2017)

Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data - Anis Davoudi; Tezcan Ozrazgat-Baslanti; Ashkan Ebadi; Alberto C. Bursian; Azra Bihorac; Parisa Rashidi (17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017, Washington, DC, USA, October 23-25, 2017, 2017)

How to boost scientific production? A statistical analysis of research funding and other influencing factors - Ashkan Ebadi; Andrea Schiffauerova (Scientometrics, 2016)

iSEER: an intelligent automatic computer system for scientific evaluation of researchers - Ashkan Ebadi; Andrea Schiffauerova (Scientometrics, 2016)

Self-Reflective Sentiment Analysis - Benjamin Shickel; Martin Heesacker; Sherry Benton; Ashkan Ebadi; Paul Nickerson; Parisa Rashidi (Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych@NAACL-HLT 2016, June 16, 2016, San Diego, California, USA, 2016)

How to become an important player in scientific collaboration networks? - Ashkan Ebadi; Andrea Schiffauerova (J. Informetrics, 2015)

A Computer System for Automatic Evaluation of Researchers' Performance - Ashkan Ebadi; Andrea Schiffauerova (Proceedings of the 15th International Conference on Scientometrics and Informetrics, Istanbul, Turkey, June 29 - July 3, 2015, 2015)

Impact of Funding on Scientific Output and Collaboration: A Survey of Literature - Ashkan Ebadi; Andrea Schiffauerova (J. Inf. Knowl. Manag., 2013)

Effect of collaboration network structure on knowledge creation and technological performance: the case of biotechnology in Canada - Hamidreza Eslami; Ashkan Ebadi; Andrea Schiffauerova (Scientometrics, 2013)