| Integrated content-based image retrieval using texture, shape and spatial information ME Osadebey Umea University, 2006 | 25 | 2006 |
| 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 | 22 | 2021 |
| 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 | 22 | 2018 |
| 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 | 18 | 2017 |
| 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 | 12 | 2018 |
| 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 | 10 | 2017 |
| 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 | 9 | 2019 |
| 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 | 8 | 2015 |
| 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 | 8 | 2014 |
| 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 | 7 | 2020 |
| 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 | 6 | 2013 |
| 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 | 5 | 2018 |
| 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 | 5 | 2017 |
| 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 | 3 | 2023 |
| 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 | 3 | 2020 |
| 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 | 3 | 2019 |
| 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 | 2 | 2010 |
| Integrated Content-Based Image Retrieval Using Texture, Shape and Spatial Information [thesis] ME Osadebey Umea: Department of Applied Physics and Electronics, Umea University, 2006 | 2 | 2006 |
| 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 | 1 | 2020 |
| 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 | 1 | 2014 |
Marius PedersenNorwegian University of Science and Technology (NTNU)在 ntnu.no 的电子邮件经过验证
