| Hyperspectral crop reflectance data for characterising and estimating fungal disease severity in wheat H Hamid Muhammed Biosystems engineering 91 (1), 9-20, 2005 | 170 | 2005 |
| System for multi-and hyperspectral imaging H Hamid Muhammed, F Bergholm, RPVT Office AB, T Chowdhury, ... US Patent 7,835,002, 2010 | 123 | 2010 |
| Feature vector based analysis of hyperspectral crop reflectance data for discrimination and quantification of fungal disease severity in wheat H Hamid Muhammed, A Larsolle Biosystems engineering 86 (2), 125-134, 2003 | 101 | 2003 |
| Measuring crop status using multivariate analysis of hyperspectral field reflectance with application to disease severity and plant density A Larsolle, H Hamid Muhammed Precision Agriculture 8 (1), 37-47, 2007 | 87 | 2007 |
| Exact Solution of Time-Fractional Partial Differential Equations Using Sumudu Transform A KARBALAIE, MM MONTAZERI, HH MUHAMMED WSEAS TRANSACTIONS on MATHEMATICS 13, 2014 | 31 | 2014 |
| Unsupervised fuzzy clustering and image segmentation using weighted neural networks H Hamid Muhammed Image Analysis and Processing, ICIAP 2003. Proceedings. 12th International …, 2003 | 26* | 2003 |
| Using hyperspectral reflectance data for discrimination between healthy and diseased plants, and determination of damage-level in diseased plants H Hamid Muhammed Applied Imagery Pattern Recognition Workshop, 2002. Proceedings. 31st, 49-54, 2002 | 20* | 2002 |
| Noise Type Evaluation in Positron Emission Tomography Images S Yu, H Hamid Muhammed THE 1ST 2016 INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING (IBIOMED …, 2016 | 18 | 2016 |
| Intravoxel Incoherent Motion Diffusion for identification of breast Malignant and Benign tumors using chemometrics F Chen, P Chen, H Hamid Muhammed, J Zhang BioMed Research International, 2017 | 17 | 2017 |
| Optomyography (OMG): A Novel Technique for the Detection of Muscle Surface Displacement Using Photoelectric Sensors H Hamid Muhammed, J Raghavendra Measurements - Proceedings of the 10th International Conference on …, 2015 | 17* | 2015 |
| New Approach to Find the Exact Solution of Fractional Partial Differential Equation A KARBALAIE, MM MONTAZER, H HAMID MUHAMMED | 17 | 2012 |
| Unsupervised hyperspectral image segmentation using a new class of neuro-fuzzy systems based on weighted incremental neural networks H Hamid Muhammed Applied Imagery Pattern Recognition Workshop, 2002. Proceedings. 31st, 171-177, 2002 | 17* | 2002 |
| Using feature-vector based analysis, based on principal component analysis and independent component analysis, for analyzing hyperspectral images H Hamid Muhammed, P Ammenberg, E Bengtsson Proceedings of ICIAP 2001, 309-315, 2001 | 15* | 2001 |
| Unsupervised fuzzy clustering using weighted incremental neural networks H Hamid Muhammed International Journal of Neural Systems 14 (6), 355-372, 2004 | 14 | 2004 |
| Using Homo-Separation of Variables for Solving Systems of Nonlinear Fractional Partial Differential Equations A Karbalaie, H Hamid Muhammed, BE Erlandsson International Journal of Mathematics and Mathematical Sciences, 2013 | 9 | 2013 |
| Feature vector based analysis: a unified concept for multivariate image analysis H Hamid Muhammed Proceedings of IMVIP 2001, 219-226, 2001 | 9 | 2001 |
| Exact Solution of Partial Differential Equation Using Homo-Separation of Variables A Karbalaie, H Hamid Muhammed, M Shabani, MM Montazeri International Journal of Nonlinear Science 17 (1), 84-90, 2014 | 8 | 2014 |
| Skin Cancer Detection Using Temperature Variation Analysis AMN Moustafa, H Hamid Muhammed, M Hassan Engineering 5 (10B), 18, 2013 | 8 | 2013 |
| A new approach for rehabilitation and upper-limb prosthesis control using optomyography (OMG) H Hamid Muhammed, R Jammalamadaka Biomedical Engineering (IBIOMED), International Conference on, 1-6, 2016 | 7* | 2016 |
| Comparison of Pre- and Post-Reconstruction Denoising Approaches in Positron Emission Tomography S Yu, H Hamid Muhammed THE 1ST 2016 INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING (IBIOMED …, 2016 | 7 | 2016 |
Ewert Bengtssonprofessor emeritus in digital image analysis at Uppsala UniversityVerified email at cb.uu.se
