Michael Osadebey

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 8

Top Topics

Magnetic Resonance Images

Noise Reduction

Spatial Autocorrelation

Top Venues

BMC Medical Imaging

Int. J. Imaging Syst. Technol.

BMC Medical Informatics Decis. Mak.

Expert Syst. J. Knowl. Eng.

Publications

Michael Osadebey, Qinghui Liu, Elies Fuster-García, Kyrre Eeg Emblem
Interpreting deep learning models for glioma survival classification using visualization and textual explanations. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Michael Osadebey, Marius Pedersen, Meeta Kalra, Dag Waaler, Nizar Bouguila
Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation. Expert Syst. J. Knowl. Eng. 40 (3) (2023)
Michael Osadebey, Hilde K. Andersen, Dag Waaler, Kristian Fossaa, Anne Catrine Trægde Martinsen, Marius Pedersen
Three-stage segmentation of lung region from CT images using deep neural networks. BMC Medical Imaging 21 (1) (2021)
Michael Osadebey, Marius Pedersen, Dag Waaler
Simultaneous Artefact-Lesion Extraction for Skin Cancer Diagnosis. INTAP (2020)
Michael Osadebey, Marius Pedersen, Douglas Arnold, Katrina Wendel-Mitoraj
Local Indicators of Spatial Autocorrelation (LISA): Application to Blind Noise-Based Perceptual Quality Metric Index for Magnetic Resonance Images. J. Imaging 5 (1) (2019)
Michael Osadebey, Marius Pedersen, Dag Waaler
Plant Leaves Region Segmentation in Cluttered and Occluded Images Using Perceptual Color Space and K-means-Derived Threshold with Set Theory. INDIN (2019)
Michael Osadebey, Marius Pedersen, Douglas L. Arnold, Katrina Wendel-Mitoraj, Alzheimer's Disease Neuroimaging Initiative
Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study. BMC Medical Imaging 18 (1) (2018)
Michael Osadebey, Marius Pedersen, Douglas L. Arnold, Katrina Wendel-Mitoraj
No-reference quality measure in brain MRI images using binary operations, texture and set analysis. IET Image Process. 11 (9) (2017)
Michael Osadebey, Nizar Bouguila, Douglas L. Arnold
Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain. Int. J. Imaging Syst. Technol. 24 (3) (2014)
Michael Osadebey, Nizar Bouguila, Douglas L. Arnold
The clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI. Int. J. Imaging Syst. Technol. 23 (4) (2013)