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Michael Osadebey
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2020 – today
- 2023
- [j8]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) - [j7]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): 225 (2023) - 2021
- [j6]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): 112 (2021) - 2020
- [c2]Michael Osadebey, Marius Pedersen, Dag Waaler:
Simultaneous Artefact-Lesion Extraction for Skin Cancer Diagnosis. INTAP 2020: 100-112
2010 – 2019
- 2019
- [j5]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): 20 (2019) - [c1]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: 1211-1216 - 2018
- [j4]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): 31:1-31:19 (2018) - 2017
- [j3]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): 672-684 (2017) - 2014
- [j2]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): 224-238 (2014) - 2013
- [j1]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): 304-313 (2013)
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