Concordia University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and Opportunities
Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis et al.
2019 · 282 Zit.
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
Parnian Afshar, Shahin Heidarian, Nastaran Enshaei et al.
2021 · 201 Zit.
Incorporating AI in foreign language education: An investigation into ChatGPT’s effect on foreign language learners
Fatih Karataş, Faramarz Yaşar Abedi, Filiz Ozek Gunyel et al.
2024 · 161 Zit.
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder
2023 · 161 Zit.
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection
Moloud Abdar, Soorena Salari, Sina Qahremani et al.
2022 · 96 Zit.
Designing AI Using a Human-Centered Approach: Explainability and Accuracy Toward Trustworthiness
Jordan Richard Schoenherr, Roba Abbas, Katina Michael et al.
2023 · 77 Zit.
Abnormality Detection in Musculoskeletal Radiographs Using Capsule Network
A. F. M. Saif, Celia Shahnaz, Wei‐Ping Zhu et al.
2019 · 45 Zit.
Artificial Intelligence in Human Resources Management: A Review and Research Agenda
Daniel Gélinas, Arman Sadreddin, Rustam Vahidov
2022 · 31 Zit.
Performance of ChatGPT on a Practice Dermatology Board Certification Examination
Maxine Joly-Chevrier, Anne Xuan-Lan Nguyen, Michael Lesko-Krleza et al.
2023 · 24 Zit.
The Analysis and Development of an XAI Process on Feature Contribution Explanation
Jun Huang, Zerui Wang, Li Ding et al.
2022 · 23 Zit.
Deep Learning and Federated Learning for Screening COVID-19: A Review
M. Rubaiyat Hossain Mondal, Subrato Bharati, Prajoy Podder et al.
2023 · 16 Zit.
A Trustworthy View on Explainable Artificial Intelligence Method Evaluation
Li Ding, Yan Liu, Jun Huang et al.
2023 · 15 Zit.
XAIport: A Service Framework for the Early Adoption of XAI in AI Model Development
Zerui Wang, Yan Liu, Abishek Arumugam Thiruselvi et al.
2024 · 12 Zit.
Deep learning for collateral evaluation in ischemic stroke with imbalanced data
Mumu Aktar, Jonatan Reyes, Donatella Tampieri et al.
2023 · 10 Zit.
Recommendations on the use of artificial intelligence in health promotion
Andy Smith, Ross Arena, Simon Bacon et al.
2024 · 7 Zit.