Ashkan Ebadi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 42

Top Topics

Language Processing

Ultrasound Imaging

Artificial Intelligence

Top Venues

J. Informetrics

Publications

Neel Patel, Alexander Wong, Ashkan Ebadi
Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks. CoRR (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 24 (5) (2024)
Koosha Shirouyeh, Andrea Schiffauerova, Ashkan Ebadi
Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach. CoRR (2024)
Mohammadmahdi Toobaee, Andrea Schiffauerova, Ashkan Ebadi
Proximity Matters: Analyzing the Role of Geographical Proximity in Shaping AI Research Collaborations. CoRR (2024)
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 23 (19) (2023)
Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
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)
Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi
Women and key positions in scientific collaboration networks: analyzing central scientists' profiles in the artificial intelligence ecosystem through a gender lens. Scientometrics 128 (2) (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 23 (5) (2023)
Hilda Azimi, Ashkan Ebadi, Jessy Song, Pengcheng Xi, Alexander Wong
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)
Ashkan Ebadi, Alain Auger, Yvan Gauthier
Detecting emerging technologies and their evolution using deep learning and weak signal analysis. J. Informetrics 16 (4) (2022)
Hilda Azimi, Jianxing Zhang, Pengcheng Xi, Hala As'ad, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation. CoRR (2022)
Ashkan Ebadi, Alain Auger, Yvan Gauthier
Detecting Emerging Technologies and their Evolution using Deep Learning and Weak Signal Analysis. CoRR (2022)
Ali Ghaemmaghami, Andrea Schiffauerova, Ashkan Ebadi
Detecting Emerging Technologies in Artificial Intelligence Scientific Ecosystem Using an Indicator-based Model. CoRR (2022)
Kai Ma, Pengcheng Xi, Karim Habashy, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography. CoRR (2022)
Kai Ma, Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
A Trustworthy Framework for Medical Image Analysis with Deep Learning. CoRR (2022)
Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi
Gender-specific patterns in the artificial intelligence scientific ecosystem. J. Informetrics 16 (2) (2022)
Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi
Women, artificial intelligence, and key positions in collaboration networks: Towards a more equal scientific ecosystem. CoRR (2022)
Ashkan Ebadi, Alain Auger, Yvan Gauthier
On the evolution of research in hypersonics: application of natural language processing and machine learning. CoRR (2022)
Ashkan Ebadi, Patrick Paul, Sofia Auer, Stéphane Tremblay
NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset. CoRR (2021)
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 126 (1) (2021)
Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong
COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics. CoRR (2021)
Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stéphane Tremblay, Alexander Wong
COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach. CoRR (2021)
Elva Luz Crespo Neira, Ashkan Ebadi, Catherine Beaudry, Andrea Schiffauerova
Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology. CoRR (2021)
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
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. DART/FAIR@MICCAI (2021)
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
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. CoRR (2021)
Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications. CoRR (2021)
Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi
Gender-Specific Patterns in the Artificial Intelligence Scientific Ecosystem. CoRR (2021)
Ashkan Ebadi, Stéphane Tremblay, Cyril Goutte, Andrea Schiffauerova
Application of machine learning techniques to assess the trends and alignment of the funded research output. J. Informetrics 14 (2) (2020)
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. CoRR (2020)
Ashkan Ebadi, Yvan Gauthier, Stéphane Tremblay, Patrick Paul
How can Automated Machine Learning Help Business Data Science Teams? ICMLA (2019)
Ashkan Ebadi, Patrick J. Tighe, Lei Zhang, Parisa Rashidi
A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time? Soc. Netw. Anal. Min. 9 (1) (2019)
Ashkan Ebadi, Patrick J. Tighe, Lei Zheng, Parisa Rashidi
A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time? CoRR (2018)
Ashkan Ebadi, Patrick J. Tighe, Lei Zhang, Parisa Rashidi
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome. CoRR (2018)
Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara, Ashkan Ebadi, Amir Motaei, Parisa Rashidi, Xiaolin Li, Azra Bihorac
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics. CoRR (2018)
Benjamin Shickel, Tyler J. Loftus, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Azra Bihorac, Parisa Rashidi
DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning. CoRR (2018)
Ashkan Ebadi, Patrick J. Tighe, Lei Zhang, Parisa Rashidi
DisTeam: A decision support tool for surgical team selection. Artif. Intell. Medicine 76 (2017)
Anis Davoudi, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Alberto C. Bursian, Azra Bihorac, Parisa Rashidi
Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data. BIBE (2017)
Benjamin Shickel, Martin Heesacker, Sherry Benton, Ashkan Ebadi, Paul Nickerson, Parisa Rashidi
Self-Reflective Sentiment Analysis. CLPsych@HLT-NAACL (2016)
Ashkan Ebadi, Andrea Schiffauerova
iSEER: an intelligent automatic computer system for scientific evaluation of researchers. Scientometrics 107 (2) (2016)
Ashkan Ebadi, Andrea Schiffauerova
How to boost scientific production? A statistical analysis of research funding and other influencing factors. Scientometrics 106 (3) (2016)
Ashkan Ebadi, Andrea Schiffauerova
How to become an important player in scientific collaboration networks? J. Informetrics 9 (4) (2015)
Ashkan Ebadi, Andrea Schiffauerova
A Computer System for Automatic Evaluation of Researchers' Performance. ISSI (2015)
Ashkan Ebadi, Andrea Schiffauerova
Impact of Funding on Scientific Output and Collaboration: A Survey of Literature. J. Inf. Knowl. Manag. 12 (4) (2013)
Hamidreza Eslami, Ashkan Ebadi, Andrea Schiffauerova
Effect of collaboration network structure on knowledge creation and technological performance: the case of biotechnology in Canada. Scientometrics 97 (1) (2013)