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Michael Osadebey
Michael Osadebey
Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo,Norway
Verified email at ous-hf.no
Title
Cited by
Cited by
Year
Integrated content-based image retrieval using texture, shape and spatial information
ME Osadebey
Umea University, 2006
272006
No‐reference quality measure in brain MRI images using binary operations, texture and set analysis
M Osadebey, M Pedersen, D Arnold, K Wendel‐Mitoraj
IET Image Processing 11 (9), 672-684, 2017
182017
Three-stage segmentation of lung region from CT images using deep neural networks
M Osadebey, HK Andersen, D Waaler, K Fossaa, ACT Martinsen, ...
BMC Medical Imaging 21, 1-19, 2021
172021
Blind blur assessment of MRI images using parallel multiscale difference of Gaussian filters
ME Osadebey, M Pedersen, DL Arnold, KE Wendel-Mitoraj
Biomedical engineering online 17, 1-22, 2018
172018
Image quality evaluation in clinical research: A case study on brain and cardiac mri images in multi-center clinical trials
M Osadebey, M Pedersen, D Arnold, K Wendel-Mitoraj
IEEE journal of translational engineering in health and medicine 6, 1-15, 2018
112018
Bayesian framework inspired no-reference region-of-interest quality measure for brain MRI images
M Osadebey, M Pedersen, D Arnold, K Wendel-Mitoraj, ...
Journal of Medical Imaging 4 (2), 025504-025504, 2017
102017
Brain MRI Intensity Inhomogeneity Correction using Region of Interest, Anatomic Structural Map and Outlier Detection.
M Osadebey, N Bouguila, D Arnold
In D. Al-Jumeily, A. Hussain, C. Mallucci, & C. Oliver (Eds.), Applied …, 2015
82015
Online variational learning for medical image data clustering
M Kalra, M Osadebey, N Bouguila, M Pedersen, W Fan
Mixture Models and Applications, 235-269, 2020
72020
Local indicators of spatial autocorrelation (lisa): application to blind noise-based perceptual quality metric index for magnetic resonance images
M Osadebey, M Pedersen, D Arnold, K Wendel-Mitoraj
Journal of imaging 5 (1), 20, 2019
72019
Optimal selection of regularization parameter in total variation method for reducing noise in magnetic resonance images of the brain
M Osadebey, N Bouguila, D Arnold, ADNI
Biomedical Engineering Letters 4, 80-92, 2014
72014
The clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI
M Osadebey, N Bouguila, D Arnold, ...
International journal of imaging systems and technology 23 (4), 304-313, 2013
62013
Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study
ME Osadebey, M Pedersen, DL Arnold, KE Wendel-Mitoraj, ...
BMC medical imaging 18, 1-19, 2018
52018
The spatial statistics of structural magnetic resonance images: application to post-acquisition quality assessment of brain MRI images
ME Osadebey, M Pedersen, D Arnold, K Wendel-Mitoraj, ...
The Imaging Science Journal 65 (8), 468-483, 2017
52017
Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation
M Osadebey, M Pedersen, M Kalra, D Waaler, N Bouguila
Expert Systems 40 (3), e13176, 2023
32023
Evaluation of color spaces for unsupervised and deep learning skin lesion segmentation
M Osadebey, M Pedersen, D Waaler
Proceedings of the IADIS International Conference Computer Graphics …, 2020
32020
Plant leaves region segmentation in cluttered and occluded images using perceptual color space and k-means-derived threshold with set theory
M Osadebey, M Pedersen, D Waaler
2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019
32019
Incorporating craniofacial anthropometry into realistically-shaped head models
K Wendel, M Osadebey, J Malmivuo
World Congress on Medical Physics and Biomedical Engineering, September 7-12 …, 2010
22010
Integrated Content-Based Image Retrieval Using Texture, Shape and Spatial Information [thesis]
ME Osadebey
Umea: Department of Applied Physics and Electronics, Umea University, 2006
22006
Learning-based segmentation of optic disc in retinal images using clustering trees and local mode filtering
M Osadebey, M Pedersen, D Waaler
14th Multi Conference on Computer Science and Information Systems, 2020
12020
Four‐neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain
M Osadebey, N Bouguila, D Arnold, ...
International journal of imaging systems and technology 24 (3), 224-238, 2014
12014
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