M. Shahmoradi, M. Lashgari, H. Rabbani, J. Qin, M. Swain, "A comparative study of new and current methods for dental micro-CT image denoising",Dentomaxillofacial Radiology, vol. 45, no. 3, 2016.


Z. Amini, H. Rabbani, "Statistical Modeling of Retinal Optical Coherence Tomography", IEEE Transactions on Medical Imaging, accepted, 2016.


M. Niknejad, H. Rabbani, M. Babaei-Zadeh, "Image Restoration Using Gaussian Mixture Models With Spatially Constrained Patch Clustering," IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 3624-3636, June 2015. doi: 10.1109/TIP.2015.2447836. Codes*


R. Kafieh, H. Rabbani, I. Selesnick,“Three Dimensional Data-Driven Multi-Scale Atomic Representation of Optical Coherence Tomography”, IEEE Transactions on Medical Imaging, vol. 34, no. 5, pp. 1042-1062, May 2015. Codes*


H. Rabbani, M.J. Allingham, P.S. Mettu, S.W. Cousins, S. Farsiu, "Fully Automatic Segmentation of Fluorescein Leakage in Subjects with Diabetic Macular Edema", Investigative Ophthalmology and Visual Science, vol. 56, no. 3, pp. 1482-1492, 2015. Dataset


MR. Sehhati, AR. Mehri, H. Rabbani, M. Pourhossein, “Stable Gene Signature Selection for Prediction of Breast Cancer Recurrence Using Joint Mutual Information”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, no. 6, pp. 14440-1448, 2015. 


Z. Amini, H. Rabbani, “Classification of Medical Image Modeling Methods: A Review”, Current Medical Imaging Reviews, vol. 12, no. 2, pp. 130-148, 2016. 


Z. Saeedizadeh, A. Mehri, A. Talebi, H. Rabbani, O. Sarrafzadeh, A. Vard, “Automatic Recognition of Myeloma Cells in Microscopic Images using Bottleneck algorithm, Modified Watershed and SVM Classifier”, Journal of Microscopy, vol. 261, no. 1, pp. 46-56, 2015.


R. Kafieh, H. Rabbani, F. Hajizadeh, M. D. Abramoff, M. Sonka, “Thickness Mapping of Eleven Retinal Layers in Normal Eyes Using Spectral Domain Optical Coherence Tomography”,Journal of Ophthalmology, vol. 2015, Article ID 259123, 14 pages, 2015.


S. Kermani, N. Samadzadehaghdam, M. EtehadTavakol," Automatic color segmentation of breast infrared images using a Gaussian mixture model," Optik - International Journal for Light and Electron Optics. 2015


H. Rabbani and S. Gazor, "Local Probability Distribution of Natural Signals in Sparse Domains," International Journal of Adaptive Control and Signal Processing (Wiley), vol. 28, no. 1, pp. 58-22, Jan. 2014.


SH. Hajeb, H. Rabbani, MR. Akhlaghi, "A New Combined Method Based on Curvelet Transform and Morphological Operators for Automatic Detection of Foveal Avascular Zone", Signal, Image & Video Processing (Springer), vol. 8, no. 2, pp. 205-222, Feb. 2014. Dataset


H. Danesh, R. Kafieh, H. Rabbani, F. Hajizadeh, “Segmentation of Choroidal Boundary in Enhanced Depth Imaging OCTs Usinga Multiresolution Texture Based Modeling in Graph Cuts”, Computational and Mathematical Methods in Medicine, vol. 2014, Article ID 479268, 9 pages.


R. Kafieh, H. Rabbani, M. Sonka, M. D. Abramoff, "Intra-Retinal Layer Segmentation of 3DOptical Coherence Tomography Using Coarse Grained Diffusion Map", Medical Image Analysis, vol. 17, no. 8, pp. 907-928, Dec. 2013.


R. Kafieh, H. Rabbani, F. Hajizadeh, M. Ommani, "An Accurate Multimodal 3D Vessel Segmentation Method Based on Brightness Variations on OCT Layers and Curvelet Domain Fundus Image Analysis", IEEE Transactions on Biomedical Engineering, vol. 60, no. 10, pp. 2815-2823, Oct. 2013.


M. Sheikhhosseini, H. Rabbani, M. Zekri, A. Talebi, "Automatic Diagnosis of Malaria Based on Complete Circle-Ellipse Fitting Search Algorithm", Journal of Microscopy, vol. 252, no. 3, pp. 189-203, Dec. 2013.


H. Rabbani, M. Sonka, M. D. Abramoff, "Optical Coherence Tomography Noise Reduction Using AnisotropicLocal Bivariate Gaussian Mixture Prior in 3-D Complex Wavelet Domain", International Journal of Biomedical Imaging, vol. 2013, Article ID 417491, 23 pages.


M. Golabakhsh, H. Rabbani, "Vessel Based Registration of Fundus and OCT Projection Images of Retina Using a Quadratic Registration Model", IET Image Processing, vol. 7, no. 8, pp. 768-776, Nov. 2013. Dataset


M. Etehadtavakol, E.Y.K. Ng, V. Chandranc, H. Rabbani, "Separable and Non-separable Discrete Wavelet Transform based Texture Features and Image Classification of Breast Thermograms", Infrared Physics &Technology, vol. 61, pp. 274-286, Nov. 2013.


R. Kafieh, H. Rabbani, M. Sonka, M. D. Abramoff, “Curvature Correction of Retinal OCTs Using Graph-Based Geometry Detection", Physics in Medicine & Biology, vol. 58, pp. 2925-2938, 2013.


H.Khajehpour, A. MehriDehnavi, H.Taghizad, E.Khajehpour, M. Naeemabadi, “Detection and Segmentation of Erythrocytes in Blood Smear Images Using a Line Operator and Watershed Algorithm” Journal of Medical Signals and Sensors,vol. 3, no. 3pp.164-171, 2013


H. Rabbani, S. Gazor, "Video Denoising in 3-D Complex Wavelet Domain Using Local Bessel K-Form Prior", IET Image Processing, vol. 6, no. 9, pp. 1262-1274, Dec. 2012.


M. Esmaeili, H. Rabbani, A. M. Dehnavi, A. Dehghani, “Automatic Detection of Exudates and Optic Disk in Retinal Images Using Curvelet Transform", IET Image Processing, vol. 6, no. 7, pp. 1005-1013, Oct. 2012. Dataset


SH. Hajeb, H. Rabbani, MR. Akhlaghi, “Diabetic Retinopathy Grading by Digital Curvelet Transform", Computational and Mathematical Methods in Medicine, vol. 2012, Article ID 761901, 11 pages, 2012. Dataset


SH. Hajeb, H. Rabbani, A. M. Dehnavi, MR. Akhlaghi, SH. H. Javanmard, “Analysis of Foveal Avascular Zone for Grading of Diabetic Retinopathy Severity Based on Curvelet Transform", Graefe's Archive for Clinical and Experimental Ophthalmology (Springer), vol. 250, no. 11, pp. 1607-1614, Nov. 2012. Dataset


R. Soltanzadeh, H. Rabbani, A. Talebi, “Extraction of Nucleolus Candidate Zone in White Blood Cells of Peripheral Blood Smear Images Using Curvelet Transform”, Computational and Mathematical Methods in Medicine, vol. 2012, Article ID 574184, 12 pages, 2012. 


M. Esmaeili, H. Rabbani, A. Mehri, “Automatic Optic Disk Boundary Extraction by the Use of CurveletTransform and Deformable Variational Level Set Model”, Pattern Recognition, vol. 47, no. 7, pp. 2832-2842, July 2012. 


A.Vard, K.Jamshidi and N.Movahhedinia, “Small object detection in cluttered image using a correlation based active contour model,” Pattern Recognition Letters, vol. 33, no. 5, pp. 543-553 April 2012


A. Vard, K.Jamshidi and N.Movahhedinia, “An automated approach for segmentation of intravascular ultrasound images based on parametric active contour models,” Australasian Physical & Engineering Sciences in Medicinevol.35, no.2, pp. 135-150, 2012.


H. Rabbani, M. P. Mahjub, E. Farahabadi, A. Farahabadi, A. Mehri, “An Entropy-Based Method for Ischemia Diagnosis Using ECG Signal in Wavelet Domain”, Journal of Research in Medical Sciences, vol. 16, no. 11, pp. 1473-1482, 2011.


Hossein Rabbani, “Statistical Modeling of Low SNR Magnetic Resonance Images in Wavelet Domain using Laplacian Prior and Two-Sided Rayleigh Noise for Visual Quality Improvement”, Measurement Science Review, vol. 11, no. 4., pp. 125-130, 2011.


Farhad Rahimi and Hossein Rabbani, "A Dual Adaptive Watermarking Scheme in Contourlet Domain for DICOM Images", BioMedical Engineering OnLine, 10:53, 2011. Dataset


A. Mehri, E. Farahabadi, H. Rabbani, A. Farahabadi, M. P. Mahjub, N. Rajabi, “Detection and Classification of Cardiac Ischemia by Using Vectorcardiogram Signal via Neural Network”, Journal of Research in Medical Sciences, vol. 16, no. 2, pp. 136-142, 2011.


A.Vard, A.Monadjemi, K.Jamshidi and N.Movahhedinia, “Fast texture energy based image segmentation using Directional Walsh–Hadamard Transform and parametric active contour models,” Expert Systems with Applications,vol. 38, no. 9, pp. 11722-11729, Sept. 2011


S. Kermani, M.H. Moradi, H. Abrishami-Moghaddam, H. Saneeid, M.J. Marashie,D. Shahbazi-Gahroueia," Quantitative analysis of left ventricular performance from sequences of cardiac magnetic resonance imaging using active mesh model," Computerized Medical Imaging and Graphics, vol. 33, no. 3, pp. 222–234, 2009


A. Vard, P.Moallem and A. NaghshNilchi, “Texture-Based Parametric Active Contour for Target Detection and Tracking,”International Journal of Imaging Systems and Technology,vol19, no. 3, pp.187–198, Sep. 2009.


A. Vard,A. NaghshNilchiand P.Moallem, “Object Detection and Image Segmentation using Texture Pressure Energy in Parametric Active Contour Models,” Journal of the Chinese Institute of Engineers, vol. 31, no. 4, pp. 649-657, Jun.2008.