Faculty profile
Marek Reformat
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Research
Latest papers
Validity and accuracy of automatic cobb angle measurement on 3D spinal ultrasonographs for children with adolescent idiopathic scoliosis: SOSORT 2024 award winner.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
Validity of a fast automated 3d spine reconstruction measurements for biplanar radiographs: SOSORT 2024 award winner.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis.
Medical & biological engineering & computing · 2025
Latest funding
- $92,000
Decision-Support and Reasoning Structures over Knowledge Graphs
NSERC · 2023 · Principal investigator
- $20,000
Improving public access to health information and services by leveraging Artificial Intelligence, engagement and multidisciplinary approaches.
CIHR · 2022 · Co-investigator
- $2,820,000
Towards Future Interconnected Electric System
NSERC · 2019 · Co-investigator
12 publications.
Validity and accuracy of automatic cobb angle measurement on 3D spinal ultrasonographs for children with adolescent idiopathic scoliosis: SOSORT 2024 award winner.
Wong J, Reformat M, Parent E, Lou E
Validity of a fast automated 3d spine reconstruction measurements for biplanar radiographs: SOSORT 2024 award winner.
Chen W, Khodaei M, Reformat M, Lou E
Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis.
Kabir MH, Reformat M, Hryniuk SS, Stampe K, Lou E
Automated Method for Growing Rod Length Measurement on Ultrasound Images in Children With Early Onset Scoliosis.
Kabir MH, Reformat M, Southon Hryniuk S, Stampe K, Lou E
Using machine learning to automatically measure kyphotic and lordotic angle measurements on radiographs for children with adolescent idiopathic scoliosis.
Wong J, Reformat M, Parent E, Lou E
Applying Machine Learning and Point-Set Registration to Automatically Measure the Severity of Spinal Curvature on Radiographs.
Wong J, Reformat M, Lou E
Human intelligence-based metaverse for co-learning of students and smart machines.
Lee CS, Wang MH, Reformat M, Huang SH
Using machine learning to automatically measure axial vertebral rotation on radiographs in adolescents with idiopathic scoliosis.
Logithasan V, Wong J, Reformat M, Lou E
Convolutional Neural Network to Segment Laminae on 3D Ultrasound Spinal Images to Assist Cobb Angle Measurement.
Wong J, Reformat M, Parent E, Lou E
xGENIA: A comprehensive OWL ontology based on the GENIA corpus.
Rak R, Kurgan L, Reformat M
Decision-Support and Reasoning Structures over Knowledge Graphs
Principal investigators: Reformat, Marek
Keywords: knowledge graphs; factual and commonsense knowledge; contextual knowledge; generalization; uncertainty; reasoning; decision-support; explainability; visualization
Improving public access to health information and services by leveraging Artificial Intelligence, engagement and multidisciplinary approaches.
Principal investigators: Bolduc, François; Moland, Mark
Keywords: Artificial Intelligence; Chatbot; Ethical And Legal Aspects; Health Literacy; Information Sharing; Misinformation; Public Health Measures
Towards Future Interconnected Electric System
Principal investigators: Musilek, Petr P
Keywords: artificial intelligence; control; cybersecurity; data analytics; distributed energy resources; energy transition; interconnected electricity system; power electronics; renewable energy; safety
Data-driven system for predicting outages and their severity_x000d_
Principal investigators: Reformat, Marek
Data-driven modeling of refinery reactors
Principal investigators: Reformat, Marek
Knowledge Extraction via Learning Processes and Data Models with Imprecision
Principal investigators: Reformat, Marek
Computational intelligence based analysis of power distribution data
Principal investigators: Reformat, Marek
Data-driven vehicle health management framework
Principal investigators: Reformat, Marek
Modeling of Knowledge with Imprecision in Linked Data Environment
Principal investigators: Reformat, Marek
Computational Intelligence based Analysis of Evolve Packet Core Function Realizations in Network Function Virtualization Environment
Principal investigators: Reformat, Marek
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
- Eric Parent and Edmond Lou: 14 shared papers
- Marek Reformat and Edmond Lou: 8 shared papers
- Eric Parent and Marek Reformat: 3 shared papers
- Marek Reformat and Witold Pedrycz: 1 shared paper
- Witold Pedrycz and Edmond Lou: 1 shared paper
- Electrical and Computer Engineering
- Other
Co-authors at University of Alberta, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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