Jon G. Rokne
Calgary, AB T2N1N4, Canada
Last Updated: 09/26/2026
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Found 24 publications
Identification of Potential Biomarkers in Prostate Cancer Microarray Gene Expression Leveraging Explainable Machine Learning Classifiers.
Journal: Cancers
Published: October 02, 2025
Integrating Multi-Omics and Medical Imaging in Artificial Intelligence-Based Cancer Research: An Umbrella Review of Fusion Strategies and Applications.
Journal: Cancers
Published: October 02, 2025
Lightweight Deep Learning Models with Explainable AI for Early Alzheimer's Detection from Standard MRI Scans.
Journal: Diagnostics (Basel, Switzerland)
Published: September 18, 2025
Leveraging Machine Learning for Severity Level-Wise Biomarker Identification in Prostate Cancer Microarray Gene Expression Data.
Journal: Biomedicines
Published: July 23, 2025
Eye-XAI: an explainable artificial intelligence approach for eye disease detection using symptom analysis.
Journal: BMC medical informatics and decision making
Published: February 11, 2025
XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion.
Journal: MethodsX
Published: December 24, 2024
A systematic review of AI as a digital twin for prostate cancer care.
Journal: Computer methods and programs in biomedicine
Published: November 26, 2024
BioLake: an RNA expression analysis framework for prostate cancer biomarker powered by data lakehouse.
Journal: BMC bioinformatics
Published: October 22, 2024
Exploring The Prognostic Significance of SET-Domain Containing 2 (SETD2) Expression in Advanced and Castrate-Resistant Prostate Cancer.
Journal: Cancers
Published: December 31, 2023
Serrate RNA Effector Molecule (SRRT) Is Associated with Prostate Cancer Progression and Is a Predictor of Poor Prognosis in Lethal Prostate Cancer.
Journal: Cancers
Published: March 12, 2023
Last Updated: 09/26/2026