Michael Osadebey

According to our database, Michael Osadebey authored at least 10 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2023

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., March, 2023

2021

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

2020

Simultaneous Artefact-Lesion Extraction for Skin Cancer Diagnosis.

Michael Osadebey, Marius Pedersen, Dag Waaler

Proceedings of the Intelligent Technologies and Applications, 2020

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

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

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

2018

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

2017

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

2014

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

2013

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