This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Calgary directory, so their courses may be missing. Find their university profile.
Latest papers
Eye-XAI: an explainable artificial intelligence approach for eye disease detection using symptom analysis.
BMC medical informatics and decision making · 2025
Automated lunar age detection through determining the day of the synodic month using convolutional neural networks.
Scientific reports · 2025
A systematic review of AI as a digital twin for prostate cancer care.
Computer methods and programs in biomedicine · 2025 · senior author
Latest funding
- $168,000
Emergency Management with Social Networks
NSERC · 2019 · Principal investigator
- $24,840
Advanced flight planning algorithms
NSERC · 2018 · Principal investigator
- $24,840
Maximizing the Benefit of Healthcare Professionals and Patients from Widely Available Mobile Devices
NSERC · 2017 · Principal investigator
14 publications.
Eye-XAI: an explainable artificial intelligence approach for eye disease detection using symptom analysis.
Marouf AA, Mottalib MM, Ridi SS, Jafarullah O, Rokne J, Alhajj R
Automated lunar age detection through determining the day of the synodic month using convolutional neural networks.
Nissar Z, Sheikh F, Marouf AA, Rokne J, Alhajj R
A systematic review of AI as a digital twin for prostate cancer care.
John A, Alhajj R, Rokne J
A survey on brain tumor image analysis.
Sailunaz K, Alhajj S, Özyer T, Rokne J, Alhajj R
A survey of machine learning-based methods for COVID-19 medical image analysis.
Sailunaz K, Özyer T, Rokne J, Alhajj R
Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust.
Sailunaz K, Bestepe D, Alhajj S, Özyer T, Rokne J, Alhajj R
An Efficient Approach to Predict Eye Diseases from Symptoms Using Machine Learning and Ranker-Based Feature Selection Methods.
Marouf AA, Mottalib MM, Alhajj R, Rokne J, Jafarullah O
Interactive framework for Covid-19 detection and segmentation with feedback facility for dynamically improved accuracy and trust.
Sailunaz K, Bestepe D, Özyer T, Rokne J, Alhajj R
Utilizing a responsive web portal for studying disc tracing agreement in retinal images.
Sarhan A, Swift A, Gorner A, Rokne J, Alhajj R, Docherty G, Crichton A
Glaucoma detection using image processing techniques: A literature review.
Sarhan A, Rokne J, Alhajj R
Emergency Management with Social Networks
Principal investigators: Rokne, Jon
Keywords: Data Analytics; Social Network Analysis; Social Networs Mining
Advanced flight planning algorithms
Principal investigators: Rokne, Jon
Maximizing the Benefit of Healthcare Professionals and Patients from Widely Available Mobile Devices
Principal investigators: Rokne, Jon
Predictive Analytics for Risk Avoidance
Principal investigators: Rokne, Jon
Integrating network analysis and data mining techniques into effective framework for managing charities and donors: from data repository handling to recommendations
Principal investigators: Alhajj, Reda
Facilitating knowledge transfer by sharing experience before carriers disappear
Principal investigators: Rokne, Jon
Clean-tech database with intelligent search functionality
Principal investigators: Rokne, Jon
Interval analysis, computer graphics algorithms and social networks
Principal investigators: Rokne, Jon
Integrated framework for stock market portfolio optimization
Principal investigators: Rokne, Jon
Interval analysis and computer graphics algorithms
Principal investigators: Rokne, Jon
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Reda Alhajj and Jon Rokne: 13 shared papers
- Douglas Demetrick and Reda Alhajj: 5 shared papers
- Douglas Demetrick and Jon Rokne: 2 shared papers
- Computer Science
- Biochemistry and Molecular Biology
Co-authors at University of Calgary, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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