Provider | |
---|---|
Raheleh Kafieh , PhDAssistant Professor
School :School of Advanced Technologies in MedicineDepartment :Department of Bioelectrics and Biomedical EngineeringResearch Center :Medical Image and Signal Processing (MISP)work address :Education :2009 - 2014 Isfahan University of Medical Sciences, Isfahan, Iran, Ph.D. Major: Biomedical Engineering (Bioelectric) Advisor: Prof. Hossein Rabbani Dissertation: Combination of graph theory and time-frequency methods for analysis of Optical Coherence Tomography GPA: 18.61 /20, Thesis grade: 20 / 20, Ranked first 2006 - 2008 Isfahan University of Medical Sciences, Isfahan, Iran, M.A. Major: Biomedical Engineering (Bioelectric) Supervisor: Prof. Alireza Mehri, Prof. Saeed Sadri Dissertation: Digital Cephalogram Analysis for Automatic Detection of Important Landmarks GPA: 18.91 /20, Thesis grade: 19.97 / 20, Ranked first 2001 - 2005 Sahand University of Technology, Isfahan, Iran, B.A. Major: Biomedical Engineering (Bioelectric) Supervisor: Dr. Amir Saffari-azar Dissertation: Gender Discrimination of Speakers Using Neural Networks GPA: 17.71 /20, Ranked first Relevant Work Experience :November 2018 –Present Assistant Professor, Vice dean- Research Affairs, Department of Advanced Medical Technologies, Isfahan University of Medical Sciences, Isfahan, Iran August 2018 – November 2018 Visiting Researcher, Neurocure Clinical Research Center (NCRC), Charite Medical University, Berlin, Germany Supervisor: Prof. Alexander Brandt September 2015-August 2018 Assistant Professor, Vice dean- Educational Affairs, Department of Advanced Medical Technologies, Isfahan University of Medical Sciences, Isfahan, Iran March 2015- September 2015 Visiting Researcher, Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey Supervisor: Prof.Gozde Unal Fall 2009 – March 2015 Graduate Teaching Assistant/Assistant Instructor, Isfahan University of Medical Sciences Professional Memberships & Qualification :2018 Research Fellowship Award Awarded by EINSTEIN Forum, Berlin, Germany 2017 Best Young USERN office Award Awarded by USERN central office 2014 Research Scholarship Award Awarded by TUBITAK 2216, Istanbul, Turkey 2014 Ranked first among graduating students in PhD of Biomedical Engineering, Isfahan University of Medical Science, Isfahan, Iran 2014 Voluntary Contribution Fund Student Travel Award by IEEE R8 VCF 2013 Best researcher award Awarded by Isfahan University of Medical Sciences, Office of Research affairs 2009 Ranked first in national PhD Entrance Exam in Biomedical Engineering, Iran 2009 Full-Fund PhD Acceptances University Of British Colombia (Biomedical Engineering) Boston University (Electrical Engineering) University De Montreal (Electrical Engineering) Ghent University (Electrical Engineering) 2008 Ranked first among graduating students in M.Sc. of Biomedical Engineering, Isfahan University of Medical Science, Isfahan, Iran 2007 Best Paper Award for "LVQ Neural Networks for Detection of Ventricular Arrhythmias", ISCEE07, Isfahan, Iran 2005 Ranked first among graduating students in B.Sc. of Biomedical Engineering, Sahand University of Technology, Tabriz, Iran 2001 Ranked 840th among 400,000 competitors in national universities attendance exam, Iran in B.Sc. of Biomedical Engineering, Sahand University of Technology, Tabriz, Iran Extra Curricular Activities/ Interest(personal url) :Grants & Awards :RESEARCH SCHOLARSHIPS/GRANTS SUCCESSFULLY APPLIED 2018 Iran- Switzerland research Seed Money Grant (Role: Co-PI) A feasibility study to develop an OCT-based ocular health kiosk to diagnose Diabetic Retinopathy 2018 Research Scholarship Supported by EINSTEIN FORUM (28,600 Euros) Berlin, Germany 2018 Research Grant Supported by National Institute for Medical Research Development (NIMAD) (Role: PI, 17000 $) Automatic analysis of MRI and OCT Data for discrimination of Multiple Sclerosis (MS) and neuromyelitis optica (NMO) in presence of Isolated Optic Neuritis 2014 Research Scholarship Supported by TUBITAK (9000 $) Design and application of Bandlet on Graph for image denoising 2014 Research Grant by National Iranian Gas Company (NIGC) (Role: Co-PI, 9000 $) Non-destructive quality testing of polyethylene pipe welding using thermal infrared imaging technique 2008-2016 Research Grants Supported by Medical Image and Signal Processing (MISP): (Role: PI, 1500 $) Graph based method for registration of Fundus and OCT data from retina, started in 2016. (Role: PI, 1500 $) Segmentation of Haller's Layer and choroid/sclera boundary in EDI-OCT images, started in 2016. (Role: PI, 900 $) Classification of normal, AMD, and DME cased based on OCT images and Dictionary learning methods, 2016-17. (Role: PI, 1500 $) Scoring Molar Preparations with Image Processing Techniques, 2015-17. (Role: PI, 650 $) Mean shift algorithms for Segmentation of Boundaries of Corneal Layers in Optical Coherence Tomography Images in presence of artificial rings, 2014-15. (Role: PI, 650 $) Mosaicing of OCTs taken from ONH and Macula, 2013-2015. (Role: Co-PI, 650 $) Sparse representation for classification of blood vessels on Fundus images, 2013-2016. (Role: PI, 650 $) Removing Distortion of Periapical Images in Dental Digital Radiography using Embedded Markers, 2010-2012. (Role: Co-PI, 650 $) Estimation of features from Higher Order Spectra (HOS) in right and left breast of thermograms, 2011-2013. (Role: Co-PI, 650 $) Automatic Off line Diagnostic of Cervical Cancer through processing of Pap smear slides, 2008-9. Patents :Presentations & Poster Sessions :Research Experience :invited book chapters 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 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. 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. 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 researches in Iran IV: The road map of ocular image analysis research group. Journal of medical signals and sensors, 6(2), 67. 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. 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 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. 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). 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. 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. 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. Manuscripts in preparation/submitted for review ________________ Kafieh R., Rabbani H., Unal G. (under review). Bandlets on Oriented Graphs: Application to Medical Image Enhancement. IEEE Access. T., Kafieh R., Rabbani H., Mehri A., Akhlaghi M.(under review). of asymmetry in right and left eyes of normal subjects using extracted features from optical coherence tomography and fundus images. International Journal of Retina and Vitreous Montazeri M., Sajjadifar Z., Kafieh R. (in preparation). A semiautomatic software for sementation and feature extraction from Optical Coherence Tomography images. Kafieh R., Motamedi S., Zimmermann H., Brandt A. (in preparation). Berlin-Deep Algorithm for retinal segmentation in neurodegenerative diseases Salafian B., Rashno A., Sadri S., Kafieh R. (in preparation). Neutrosophic space for segmentation of choroidal boundary in OCT images from Macula and optic Nerve Head Ataii A., Raii M., Ashtari F., Mansurian M., Kafieh R. (in preparation). Comparison of ratiometric symmetry in OCT data from eyes of normal, MS, and Devic patients Kafieh R., Kadas E., Yadav S., Zimmermann H., Brandt A. (in preparation). Deep learning methods for combination of OCT images with clinical and morphometry data for discrimination of healthy, MS and Devic people Research Interests :Automatic classification and segmentation of covid-19 images (CT and chest Xray) with deep learning Prediction of Covid-19 occurance in Iran and Isfahan with deep learning Automatic segmentation of retinal OCTs in Multiple Sclerosis and Glaucoma using deep learning methods Automatic analysis of OCT Data for discrimination of Multiple Sclerosis (MS) and neuromyelitis optica (NMO) A feasibility study to develop an OCT-based ocular health kiosk to diagnose Diabetic Retinopathy Design and application of Bandlet on Graph for image denoising Teaching Experience :Teaching Interests : |