Invited Book Chapters
  • Amini, Z., Kafieh, R., Mousavi, E., & Rabbani, H. (2020). Diabetic Retinopathy Detection in Ocular Imaging by Dictionary Learning. In Diabetes and Fundus OCT, 343.
  • Amini, Z., Kafieh, R., & Rabbani, H. (2019). Speckle Noise Reduction and Enhancement for OCT Images. In Retinal Optical Coherence Tomography Image Analysis (pp. 39-72). Springer.
  • Hajizadeh, F., & Kafieh, R. (2018). Introduction to Optical Coherence Tomography. In Atlas of Ocular Optical Coherence Tomography (pp. 1-25). Springer, Cham.
  • Rabbani, H., Kafieh, R., & Amini, Z. (2016). Optical Coherence Tomography Image Analysis. Wiley Encyclopedia of Electrical and Electronics Engineering, 1-16.

Peer-Reviewed Journal Articles
* is used to indicate the corresponding author
2021
  • Danesh, H., Maghooli, K., Dehghani, A., & Kafieh, R.*[1] (2021). Synthetic OCT data in challenging conditions: three-dimensional OCT and presence of abnormalities. Medical & Biological Engineering & Computing, 1-15.
  •  Lu, A., Zimmermann, H. G., Specovius, S., Motamedi, S., Chien, C., Bereuter, C., Kafieh, R., ... & Oertel, F. C. (2021). Astrocytic outer retinal layer thinning is not a feature in AQP4-IgG seropositive neuromyelitis optica spectrum disorders. Journal of Neurology, Neurosurgery & Psychiatry.
  • Oertel, F. C., Specovius, S., Zimmermann, H. G., Chien, C., Motamedi, S., Bereuter, C., Kafieh, R., ... & Paul, F. (2021). Retinal Optical Coherence Tomography in Neuromyelitis Optica. Neurology-Neuroimmunology Neuroinflammation, 8(6).
  • Sobhaninia, Z., Danesh, H., Kafieh, R., Balaji, J. J., & Lakshminarayanan, V. (2021). Determination of Foveal Avascular Zone Parameters Using A New Location-Aware Deep-Learning Method. In Applications of Machine Learning 2021 (Vol. 11843, p. 1184311). International Society for Optics and Photonics.
  • Tazarjani, H. D., Amini, Z., Kafieh, R.*, Ashtari, F., & Sadeghi, E. (2021). Retinal OCT Texture Analysis for Differentiating Healthy Controls from Multiple Sclerosis (MS) with/without Optic Neuritis. BioMed Research International, special issue on Applications of Computational Methods for Prediction, Prevention, Diagnosis, and Treatment of Neurodegenerative Diseases, 1-13.
  • Montazerin, M., Sajjadifar, Z., Pour, E. K., Riazi-Esfahani, H., Mahmoudi, T., Rabbani, H., & Kafieh, R.* (2021). Livelayer: a Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images. Scientific reports, 11(1), 1-13.
  • Saeedizadeh, N., Minaee, S., Kafieh, R.*, Yazdani, S., & Sonka, M. (2021). COVID TV-Unet: Segmenting COVID-19 chest CT images using Connectivity Imposed Unet. Computer Methods and Programs in Biomedicine Update, 100007.
  • Tajmirriahi, M., Kafieh, R.*, Amini, Z., & Rabbani, H. (2021). A Lightweight Mimic Convolutional Auto-encoder for Denoising Retinal Optical Coherence Tomography Images. IEEE Transactions on Instrumentation and Measurement, 70, 1-8.
  • Fard, M. A., Safizadeh, M., Shaabani, A., Kafieh, R., Hojati, S., Afzali, M., ... & Moghimi, S. (2021). Automated Evaluation of Parapapillary Choroidal Microvasculature in Pseudoexfoliation Syndrome and Pseudoexfoliation Glaucoma. American Journal of Ophthalmology, 224, 178-184.
  • Kafieh, R., Arian, R., Saeedizadeh, N., Amini, Z., Serej, N. D., Minaee, S., ... & Haghjooy Javanmard, S. (2021). COVID-19 in Iran: Forecasting Pandemic Using Deep Learning. Computational and Mathematical Methods in Medicine, 2021.
  • Mahmudi, T., Kafieh, R.*, Rabbani, H., Dehnavi, A. M., & Akhlaghi, M. R. (2021). Evaluation of Asymmetry in Right and Left Eyes of Normal Individuals Using Extracted Features from Optical Coherence Tomography and Fundus Images. Journal of Medical Signals and Sensors, 11(1), 12-23.
2020
  • Danesh, H., Maghooli, K., Dehghani, A., & Kafieh, R.* (2020). Automatic Production of Synthetic Labelled OCT Images Using an Active Shape Model. IET Image Processing, 14(15), 3812-3818.
  • Kafieh, R., Saeedizadeh, N., Arian, R., Amini, Z., Serej, N. D., Vaezi, A., & Javanmard, S. H. (2020). Isfahan and Covid-19: Deep Spatiotemporal Representation. Chaos, Solitons & Fractals, 141, 110339.
  • Ashtari, F., Ataei, A., Kafieh, R.*, Khodabandeh, Z., Barzegar, M., Raei, M., ... & Mansurian, M. (2020). Optical Coherence Tomography in Neuromyelitis Optica spectrum disorder and Multiple Sclerosis: A population-based study. Multiple Sclerosis and Related Disorders, 102625.
  • Specovius, S., Zimmermann, H. G., Oertel, F. C., Chien, C., Bereuter, C., Cook, L. J., Kafieh, R. & Jung, S. K. (2020). Cohort Profile: Cohort Profile: A Collaborative Multicentre Study of Retinal Optical Coherence Tomography in 539 Patients with Neuromyelitis Optica Spectrum Disorders (CROCTINO). BMJ Open, 10(10).
  • Tahani, B., Rashno, A., Haghighi, H., Monirifard, R., Khomami, H. N., & Kafieh, R.* (2020). Automatic Evaluation of Crown Preparation Using Image Processing Techniques: A Substitute to Faculty Scoring in Dental Education. Journal of Medical Signals & Sensors, 10(4), 239.
  • Hojati, S., Kafieh, R.*, Fardafshari, P., & Fard, M. A. (2020). A MATLAB Package for Automatic Extraction of Flow Index in OCT-A Images by Intelligent Vessel Manipulation. SoftwareX, 12, 100510.
  • Minaee, S., Kafieh, R.*, Sonka, M., Yazdani, S., & Soufi, G. J. (2020). Deep-covid: Predicting Covid-19 from Chest X-Ray Images Using Deep Transfer Learning. Medical image analysis, 65 (2020), 101794.
  • Jalili, J., Rabbani, H., Dehnavi, A. M., Kafieh, R., & Akhlaghi, M. (2020). Forming Optimal Projection Images from Intra-Retinal Layers Using Curvelet-Based Image Fusion Method. Journal of Medical Signals and Sensors, 10(2), 76-86.
  • Teyfouri, N., Rabbani, H., Kafieh, R., & Jabbari, I. (2020). An Exact and Fast CBCT Reconstruction via Pseudo-Polar Fourier Transform-Based Discrete Grangeat’s Formula. IEEE Transactions on Image Processing, 29, 5832-5847.
  • Mousavi, E., Kafieh, R.*, & Rabbani, H. (2020). Classification of Dry Age-Related Macular Degeneration and Diabetic Macular Oedema from Optical Coherence Tomography Images Using Dictionary Learning. IET Image Processing, 14(8), 1571-1579.
  • Fard, M. A., Salabati, M., Mahmoudzadeh, R., Kafieh, R., Hojati, S., Safizadeh, M., ... & Subramanian, P. S. (2020). Automated Evaluation of Parapapillary Choroidal Microvasculature in Ischemic Optic Neuropathy and Open Angle Glaucoma. Investigative Ophthalmology & Visual Science, 61(3), 35-35.
  • Oertel, F. C., Specovius, S., Zimmermann, H. G., Chien, C., Motamedi, S., Cook, L., ..., Kafieh, R., .. & Roca-Fernandez, A. (2019). An International Retrospective Multi-Center Study of Retinal Optical Coherence Tomography in Neuromyelitis Optica Spectrum Disorders: The CROCTINO Study. Multiple Sclerosis Journal, 25(2 Suppl. 1), 709-711.
  • Kermani, S., Oghli, M. G., Mohammadzadeh, A., & Kafieh, R. (2020). NF-RCNN: Heart Localization and Right Ventricle Wall Motion Abnormality Detection in Cardiac MRI. Physica Medica, 70, 65-74.
2019
  • Kafieh, R., Amini, Z., Rabbani, H., Baghbaderani, B. K., Salafian, B., Mazaheri, F., & Mokhtari, M. (2019). Automatic Multifaceted Matlab Package for Analysis of Ocular Images (AMPAO). SoftwareX, 10, 100339.
  • Kafieh, R., Rabbani, H., & Unal, G. (2019). Bandlets on Oriented Graphs: Application to Medical Image Enhancement. IEEE Access, 7, 32589-32601.
  • Mokhtari, M., Rabbani, H., Mehri-Dehnavi, A., Kafieh, R., Akhlaghi, M. R., Pourazizi, M., & Fang, L. (2019). Local Comparison of Cup to Disc Ratio in Right and Left Eyes Based on Fusion of Color Fundus Images and OCT B-Scans. Information Fusion, 51, 30-41.
2018
  • Oghli, M. G., Mohammadzadeh, A., Kafieh, R., & Kermani, S. (2018). A Hybrid Graph-Based Approach for Right Ventricle Segmentation in Cardiac MRI By Long Axis Information Transition. Physica Medica, 54, 103-116.
2017
  • Miri, M., Amini, Z., Rabbani, H., & Kafieh, R. (2017). A Comprehensive Study of Retinal Vessel Classification Methods in Fundus Images. Journal of medical signals and sensors, 7(2), 59.
  • Kashefpur, M., Kafieh, R.*, Jorjandi, S., Golmohammadi, H., Khodabande, Z., Abbasi, M., ... & Rabbani, H. (2017). Isfahan MISP Dataset. Journal of medical signals and sensors, 7(1), 43.
  • Kafieh, R., Amini, Z., & Rabbani, H. (2016). Interdisciplinary research in Iran IV: The Road Map of Ocular Image Analysis Research Group. Journal of medical signals and sensors, 6(2), 67.
2016
  • Rabbani, H., Kafieh, R.*, Kazemian Jahromi, M., Jorjandi, S., Mehri Dehnavi, A., Hajizadeh, F., & Peyman, A. (2016). Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation. International journal of biomedical imaging, 2016.
  • Jamshidi, M., Rabbani, H., Amini, Z., Kafieh, R., Ommani, A., & Lakshminarayanan, V. (2016). Automatic Detection of The Optic Disc of The Retina: A Fast Method. Journal of medical signals and sensors, 6(1), 57.
2015
  • Kafieh, R., Rabbani, H., Hajizadeh, F., Abramoff, M. D., & Sonka, M. (2015). Thickness Mapping of Eleven Retinal Layers Segmented Using the Diffusion Maps Method in Normal Eyes. Journal of ophthalmology, 2015.
  • Kafieh, R., Rabbani, H., & Selesnick, I. (2015). Three Dimensional Data-Driven Multi Scale Atomic Representation of Optical Coherence Tomography. IEEE transactions on medical imaging, 34(5), 1042-1062
2014
  • Danesh, H., Kafieh, R., Rabbani, H., & Hajizadeh, F. (2014). Segmentation of Choroidal Boundary in Enhanced Depth Imaging OCTs Using A Multiresolution Texture Based Modeling in Graph Cuts. Computational and mathematical methods in medicine, 2014.
  • Jahromi, M. K., Kafieh, R., Rabbani, H., Dehnavi, A. M., Peyman, A., Hajizadeh, F., & Ommani, M. (2014). An Automatic Algorithm for Segmentation of The Boundaries of Corneal Layers in Optical Coherence Tomography Images Using Gaussian Mixture Model. Journal of medical signals and sensors, 4(3), 171.
2013
  • Kafieh, R., Rabbani, H., Abramoff, M. D., & Sonka, M. (2013). Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography Using Coarse Grained Diffusion Map. Medical image analysis, 17(8), 907-928.
  • Kafieh, R., Rabbani, H., Hajizadeh, F., Ommani, M., & Kermani, S. (2013). An Accurate Multimodal 3-D Vessel Segmentation Method Based on Brightness Variations on OCT Layers and Curvelet Domain Fundus Image Analysis. IEEE Trans. Biomed. Engineering, 60(10), 2815-2823.
  • Kafieh, R., Rabbani, H., Abramoff, M. D., & Sonka, M. (2013). Curvature Correction of Retinal OCTs Using Graph-Based Geometry Detection. Physics in Medicine & Biology, 58(9), 2925.
  • EtehadTavakol, M., Chandran, V., Ng, E. Y. K., & Kafieh, R. (2013). Breast Cancer Detection from Thermal Images Using Bispectral Invariant Features. International journal of thermal sciences, 69, 21-36.
  • Kafieh, R., Rabbani, H., & Kermani, S. (2013). A Review of Algorithms for Segmentation of Optical Coherence Tomography from Retina. Journal of medical signals and sensors, 3(1), 45.
  • Jafarian, F., & Kafieh, R. (2013). New Algorithm to Detect Moving Target in an Image with Variable and Complex Background Using Wavelet Transform. International Journal of Computer Theory and Engineering, 5(1), 71.
  • Kafieh, R., & Mehridehnavi, A. (2013). A Comprehensive Comparison of Different Clustering Methods for Reliability Analysis of Microarray Data. Journal of medical signals and sensors, 3(1), 22.
  • Mahmudi, T., Kafieh, R., Rabbani, H., Dehnavi, A. M., Akhlaghi, M. R., Arbabian, K., & Ahmadi, M. (2013). Evaluation of Asymmetricity of Retinal Nerve Fiber Layer and Total Retina in Right and Left Eyes of Normal Subjects Using Extracted Features from Optical Coherence Tomography. Journal of Isfahan Medical School, 31(247).
  • Danesh, H., Kafieh, R., & Rabbani, H. (2013). Automated Choroidal Segmentation in Enhanced Depth Imaging Optical Coherence Tomography Images. Journal of Isfahan Medical School, 31(230).
2012
  • Kafieh, R., Shahamoradi, M., Hekmatian, E., Foroohandeh, M., & Emamidoost, M. (2012). Removing Distortion of Periapical Radiographs in Dental Digital Radiography Using Embedded Markers in An External Frame. Journal of medical signals and sensors, 2(4), 219.
  • Kafieh, R., Rabbani, H., & Foroohandeh, M. (2012). Circular Symmetric Laplacian Mixture Model in Wavelet Diffusion for Dental Image Denoising. Journal of medical signals and sensors, 2(2), 103.
2011
  • Kafieh, R., Lotfi, T., & Amirfattahi, R. (2011). Automatic Detection of Defects on Polyethylene Pipe Welding Using Thermal Infrared Imaging. Infrared Physics & Technology, 54(4), 317-325.
2009
  • Kafieh R., Mehri A., Sadri S., Raji H. (2009). Automatic Detection of Cephalometric Landmarks on Cephalograms of Patients Referring to Isfahan University of Medical Sciences. Iranian Journal of Biomedical Engineering.

Refereed Conferences
2020
  • Oertel, F. C., Specovius, S., Zimmermann, H., Chien, C., Motamedi, S., Cook, L., ... & Paul, F. (2020). Optical Coherence Tomography in Aquaporin-4-Igg Positive Neuromyelitis Optica Spectrum Disorders: A Collaborative Multi-Center Study. 8th Joint ACTRIMS-ECTRIMS Online Meeting.
2019
  • Oertel, F. C., Specovius, S., Zimmermann, H. G., Chien, C., Motamedi, S., Cook, L., ... & Paul, F. (2019). An International Retrospective Multi-Center Study of Retinal Optical Coherence Tomography in Neuromyelitis Optica Spectrum Disorders: The CROCTINO Study. 35th Congress of the European Committee for Treatment and Research in Multiple Sclerosis - Stockholm, Sweden (ECTRIMS).
2017
  • Mokhtari, M., Rabbani, H., Mehri-Dehnavi, A., & Kafieh, R. (2017, July). Exact Localization of Breakpoints of Retinal Pigment Epithelium in Optical Coherence Tomography of Optic Nerve Head. In Engineering in Medicine and Biology Society (EMBC).
  • Jorjandi, S., Rabbani, H., Kafieh, R., & Amini, Z. (2017, July). Statistical Modeling of Optical Coherence Tomography Images by Asymmetric Normal Laplace Mixture Model. In Engineering in Medicine and Biology Society (EMBC).
2015
  • Mahmudi, T., Kafieh, R., Rabbani, H., Mehri, A., & Akhlagi, M. (2015, September). Asymmetry Evaluation of Fundus Images in Right and Left Eyes Using Radon Transform and Fractal Analysis. In International Conference on Image Processing (ICIP).
2014
  • Mahmudi, T., Kafieh, R., Rabbani, H., & Akhlagi, M. (2014, March). Comparison of Macular OCTs In Right and Left Eyes of Normal People. In Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging, SPIE.
  • Kafieh, R., Rabbani, H., & Gazor, S. (2014, May). Combination of Graph Theoretic Grouping and Time-Frequency Analysis for Image Segmentation. In International Conference on Acoustics, Speech, & Signal Processing (ICASSP).
2013
  • Kafieh, R., Danesh, H., Rabbani, H., Abramoff, M., & Sonka, M. (2013, May). Vessel Segmentation in Images of Optical Coherence Tomography Using Shadow Information and Thickening Of Retinal Nerve Fiber Layer. In International Conference on Acoustics, Speech, & Signal Processing (ICASSP).
  • Kafieh, R., Rabbani, H., Abramoff, M., & Sonka, M. (2013, May). Intra-Retinal Layer Segmentation of Optical Coherence Tomography Using Diffusion Map. In International Conference on Acoustics, Speech, & Signal Processing (ICASSP).
  • Kafieh, R., & Rabbani, H. (2013, September). Optical Coherence Tomography Noise Reduction Over Learned Dictionaries with Introduction of Complex Wavelet for Start Dictionary. In Wavelets and Sparsity: SPIE.
2011
  • Naeemabadi, M., Rabbani, P., MehriDehnavi, A., & Kafieh, R. (2011, November). An Automatic Solution for Unwanted Black Area Elimination in Photocopy Machines. In Machine Vision and Image Processing (MVIP).
  • Kafieh, R., & Rabbani, H. (2011, June). Wavelet-Based Medical Infrared Image Noise Reduction Using Local Model For Signal And Noise. In Statistical Signal Processing Workshop (SSP).
2008
  • Kafieh, R., Sadri, S., Mehri, A., & Raji, H. (2008). Discrimination of Bony Structures in Cephalograms For Automatic Landmark Detection. In Advances in Computer Science and Engineering, Springer, Berlin, Heidelberg.
2007
  • Kafieh, R., Mehri, A., & Sadri, S. (2007, December). Automatic Landmark Detection in Cephalometry Using A Modified Active Shape Model with Sub Image Matching. International Conference on In Machine Vision (ICMV).
  • Kafieh, R., & Amirfattahi, R. (2007, December). Detection of Ventricular Arrhythmias Using Roots Location In AR-modelling. International Conference on Information, Communications & Signal Processing.
Under Review
  • Kafieh, R., Rakhshani, S., Lawson, R A., Pavese, N., Steel, D H., Hogg, J., Innes, W., Bacardit, J., Read, J., Hurlbert, A. (submitted to ARVO 2022 and under preparation to be submitted to Investigative Ophthalmology & Visual Science (IOVS)), A robust, flexible retinal segmentation algorithm designed to handle neuro-degenerative dis-ease pathology (NDD-SEG).
  • Kafieh, R., Bonyani, M., Ashtari F., Parsarad S., Steel, D H., Hogg, J., Innes, W., Bacardit, J., Read, J., Hurlbert, A. (under preparation), Generalizable autoencoder-based classification of patients with Multiple Sclerosis and healthy controls using Optical Coherence Tomography.
  • Kafieh, R., Parsarad Sh., Saeedizadeh N, Madani M., Hekmatnia A., Khayyam H. (under preparation), An Unbiased Investigation on the performance of Deep Models for Covid-19 detection in the patient wise data split on new provided dataset.
  • Fardafshari, P., Kafieh, R., Rabbani, H., Mansurian, M. Lüssi F, Gonzalez-Escamilla G, Othman A, Groppa S, Muthuraman M. (under review in Brain Mapping). Neurodegeneration dependent alteration of functional brain networks – a comparative investigation of patients with Alzheimer disease and Multiple Sclerosis.
  • Tajmir M., Kafieh R., Lakshminarayanan V. (under review in IEEE Transactions on Instrumentation and Measurement) A Dual Discriminator Fourier Acquisitive GAN for Generating Retinal Optical Coherence Tomography Images.
  • Arian R., Mahmoodi T., Kafieh R. (under review in Scientific reports)., Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images Low Contrast Sclerochoroidal Junction Using Deep Learning.
  • Saeedizadeh N, Tajmirriahi M, Haghani A, Amini Z, Khalili Pour E, Riazi-Esfahani H, Fadakar K, Kafieh R, Rabbani H. (under review in IEEE Transactions on Instrumentation and Measurement) A Device-independent, Shape Preserving Retinal Optical Coherence Tomography Image Alignment Method Using TV-Unet.
  • Kafieh R., Motamedi S., Zimmermann H., Brandt A. (under review in Frontiers Neuroinformatics). Deep Learning based Intraretinal Layer Segmentation using Cascaded Compressed U-Net.
  • Khodabandeh Z., Rabbani H., Ashtari F., Zimmermann H., Motamedi S., Brandt A., Paul F., Kafieh R. (under review in Computers in Biology and Medicine) Interpretable classification using occlusion sensitivity on multilayer segmented OCT from patients with Multiple Sclerosis and healthy controls.
  • Tahvilianan, H., Kafieh, R., Ashtari, F., Omair Ahmad, M., Swamy, M.N.S. (under preparation). Optical Coherence Tomography as A Biomarker of Retinal Damage in Diagnosis of Multiple Sclerosis and Neuromyelitis Optica.
  • Salafian, B., Kafieh, R., Rashno, A., Pourazizi, M., & Sadri, S. (under preparation). Automatic Segmentation of Choroid Layer in EDI Oct Images Using Graph Theory in Neutrosophic Space. arXiv preprint arXiv:1812.01989.




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