| Macular OCT classification using a multi-scale convolutional neural network ensemble R Rasti, H Rabbani, A Mehridehnavi, F Hajizadeh IEEE transactions on medical imaging 37 (4), 1024-1034, 2017 | 255 | 2017 |
| Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map R Kafieh, H Rabbani, MD Abramoff, M Sonka Medical image analysis 17 (8), 907-928, 2013 | 215 | 2013 |
| Attention to lesion: Lesion-aware convolutional neural network for retinal optical coherence tomography image classification L Fang, C Wang, S Li, H Rabbani, X Chen, Z Liu IEEE transactions on medical imaging 38 (8), 1959-1970, 2019 | 192 | 2019 |
| Speckle noise reduction of medical ultrasound images in complex wavelet domain using mixture priors H Rabbani, M Vafadust, P Abolmaesumi, S Gazor IEEE transactions on biomedical engineering 55 (9), 2152-2160, 2008 | 183 | 2008 |
| A review of algorithms for segmentation of optical coherence tomography from retina R Kafieh, H Rabbani, S Kermani Journal of Medical Signals & Sensors 3 (1), 45-60, 2013 | 159 | 2013 |
| Wavelet-domain medical image denoising using bivariate laplacian mixture model H Rabbani, R Nezafat, S Gazor IEEE transactions on biomedical engineering 56 (12), 2826-2837, 2009 | 145 | 2009 |
| Three dimensional data-driven multi scale atomic representation of optical coherence tomography R Kafieh, H Rabbani, I Selesnick IEEE transactions on medical imaging 34 (5), 1042-1062, 2014 | 128 | 2014 |
| Fully automated segmentation of fluid/cyst regions in optical coherence tomography images with diabetic macular edema using neutrosophic sets and graph algorithms A Rashno, DD Koozekanani, PM Drayna, B Nazari, S Sadri, H Rabbani, ... IEEE Transactions on Biomedical Engineering 65 (5), 989-1001, 2017 | 124 | 2017 |
| Diabetic retinopathy grading by digital curvelet transform S Hajeb Mohammad Alipour, H Rabbani, MR Akhlaghi Computational and mathematical methods in medicine 2012, 2012 | 118 | 2012 |
| Automatic classification of retinal optical coherence tomography images with layer guided convolutional neural network L Huang, X He, L Fang, H Rabbani, X Chen IEEE Signal Processing Letters 26 (7), 1026-1030, 2019 | 113 | 2019 |
| Image restoration using Gaussian mixture models with spatially constrained patch clustering M Niknejad, H Rabbani, M Babaie-Zadeh IEEE Transactions on Image Processing 24 (11), 3624-3636, 2015 | 107 | 2015 |
| A dual adaptive watermarking scheme in contourlet domain for DICOM images F Rahimi, H Rabbani Biomedical engineering online 10, 1-18, 2011 | 107 | 2011 |
| Selection of the best features for leukocytes classification in blood smear microscopic images O Sarrafzadeh, H Rabbani, A Talebi, HU Banaem Medical Imaging 2014: Digital Pathology 9041, 159-166, 2014 | 94 | 2014 |
| R peak detection in electrocardiogram signal based on an optimal combination of wavelet transform, hilbert transform, and adaptive thresholding H Rabbani, MP Mahjoob, E Farahabadi, A Farahabadi Journal of Medical Signals & Sensors 1 (2), 91-98, 2011 | 90 | 2011 |
| Image denoising in steerable pyramid domain based on a local Laplace prior H Rabbani Pattern Recognition 42 (9), 2181-2193, 2009 | 89 | 2009 |
| Segmentation of choroidal boundary in enhanced depth imaging OCTs using a multiresolution texture based modeling in graph cuts H Danesh, R Kafieh, H Rabbani, F Hajizadeh Computational and mathematical methods in medicine 2014 (1), 479268, 2014 | 88 | 2014 |
| Fully automatic segmentation of fluorescein leakage in subjects with diabetic macular edema H Rabbani, MJ Allingham, PS Mettu, SW Cousins, S Farsiu Investigative ophthalmology & visual science 56 (3), 1482-1492, 2015 | 81 | 2015 |
| Separable and non-separable discrete wavelet transform based texture features and image classification of breast thermograms M Etehadtavakol, EYK Ng, V Chandran, H Rabbani Infrared Physics & Technology 61, 274-286, 2013 | 78 | 2013 |
| Automatic diagnosis of mild cognitive impairment using electroencephalogram spectral features M Kashefpoor, H Rabbani, M Barekatain Journal of Medical Signals & Sensors 6 (1), 25-32, 2016 | 75 | 2016 |
| Automatic detection of exudates and optic disk in retinal images using curvelet transform M Esmaeili, H Rabbani, AM Dehnavi, A Dehghani IET image processing 6 (7), 1005-1013, 2012 | 72 | 2012 |
rahele kafiehDurham University / Newcastle University在 resident.mui.ac.ir 的电子邮件经过验证
