The clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI. - Michael Osadebey; Nizar Bouguila; Douglas L. Arnold (Int. J. Imaging Syst. Technol., 2013)

Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain. - Michael Osadebey; Nizar Bouguila; Douglas L. Arnold (Int. J. Imaging Syst. Technol., 2014)

No-reference quality measure in brain MRI images using binary operations, texture and set analysis. - Michael Osadebey; Marius Pedersen; Douglas L. Arnold; Katrina Wendel-Mitoraj (IET Image Process., 2017)

Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study. - Michael Osadebey; Marius Pedersen; Douglas L. Arnold; Katrina Wendel-Mitoraj; Alzheimer's Disease Neuroimaging Initiative (BMC Medical Imaging, 2018)

Plant Leaves Region Segmentation in Cluttered and Occluded Images Using Perceptual Color Space and K-means-Derived Threshold with Set Theory. - Michael Osadebey; Marius Pedersen; Dag Waaler (INDIN, 2019)

Local Indicators of Spatial Autocorrelation (LISA): Application to Blind Noise-Based Perceptual Quality Metric Index for Magnetic Resonance Images. - Michael Osadebey; Marius Pedersen; Douglas Arnold; Katrina Wendel-Mitoraj (J. Imaging, 2019)

Simultaneous Artefact-Lesion Extraction for Skin Cancer Diagnosis. - Michael Osadebey; Marius Pedersen; Dag Waaler (INTAP, 2020)

Three-stage segmentation of lung region from CT images using deep neural networks. - Michael Osadebey; Hilde K. Andersen; Dag Waaler; Kristian Fossaa; Anne Catrine Trægde Martinsen; Marius Pedersen (BMC Medical Imaging, 2021)

Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation. - Michael Osadebey; Marius Pedersen; Meeta Kalra; Dag Waaler; Nizar Bouguila (Expert Syst. J. Knowl. Eng., 2023)

Interpreting deep learning models for glioma survival classification using visualization and textual explanations. - Michael Osadebey; Qinghui Liu; Elies Fuster-García; Kyrre Eeg Emblem (BMC Medical Informatics Decis. Mak., 2023)