Staff profile

Please check out my personal webpage for more information.

Rahele Kafieh is an Assistant Professor in Bioengineering at Durham University and serves as an EPSRC Women in Engineering Ambassador. Her research primarily focuses on harnessing Artificial Intelligence (AI) for biomedical image and signal processing, in close collaboration with clinicians and the NHS. With a career spanning over 13 years in health-related projects and AI-driven medical data analysis, she possesses a wealth of expertise in tasks such as anatomical feature localization in medical images, medical data classification for disease diagnosis, and numerical feature extraction from medical signals and images using sophisticated deep learning models. Her contributions to the field are evidenced by over 120 research articles she has authored.

 Rahele has demonstrated her ability to secure substantial funding for her projects, including notable grants such as the EPSRC IAA, UKRI MRC Ageing Research Development Award, Switzerland research seed money, Einstein Forum grant, National Institute for Medical Research Development grant, and TÜBİTAK grant. Her work has received widespread recognition, with one of her articles on AI applications in the COVID population earning the Article of the Year Award from the Computational and Mathematical Methods in Medicine journal. Furthermore, another paper published in the Medical Image Analysis Journal, boasting over 700 citations, was honored with the Best Paper Award in the COVID domain by the Ministry of Health in Iran.

 In addition to her impressive accolades, Rahele is currently leading the EPSRC IAA project titled "Enhancing Healthcare with AI-Based Home Monitoring for Retinal Diseases," conducted in collaboration with Siloton Limited. This project addresses Age-related Macular Degeneration (AMD), a prevalent cause of vision impairment in the UK. The project's objective is to develop AI-driven software supporting home-based Optical Coherence Tomography (OCT) devices to enable early detection and treatment of AMD, thereby preserving vision.

 One of her flagship projects, funded by the UKRI MRC award with a budget of 400k, is titled "OCTage: monitoring the ageing brain via Optical Coherence Tomography of the eyes" (MR/Y010825/1). This initiative in close collaboration with Newcastle University, aims to establish a non-invasive measure of general brain health in aging individuals by analysing OCT images of the retina. The project endeavours to bridge the gap between chronological age and retinal age to develop an AI-assisted tool for screening neurodegenerative diseases, particularly Parkinson's, utilizing images sourced from high-street optometrists. Additionally, the project is committed to addressing barriers to clinical impact and proposing innovative solutions to overcome them.

Honors and Awards

• PSRC Women in Engineering Ambassador
•  Top Ten Abstract Award for abstract titled "Autoencoder-Based Feature Extraction for Discrimination of Multiple Sclerosis Using Thickness Maps of Retinal Layers" in Collaborative Community on Ophthalmic Imaging (CCOI), 2023.
• Article of the Year Award for ‘COVID-19 in Iran: Forecasting Pandemic Using Deep Learning,’ in Computational and Mathematical Methods in Medicine, 2021.
• Best Paper Award in Covid-domain for ‘Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning’ in Medical image analysis, Ministry of Health, Iran, 2021.
• Best Young USERN Office Award, 2017.
• Voluntary Contribution Award (Student Travel) by IEEE R8 VCF, 2014.
• Best Researcher Award, Isfahan University of Medical Sciences, 2013.
• Ranked First in National PhD Entrance Exam in Biomedical Engineering, Iran, 2013.
• Best Paper Award from ISCEE07, Isfahan, Iran, 2007.

• Medical Data Analysis
• Machine learning / Deep Learning
• Image Processing and Computer Vision
• Time-frequency methods
• Data Acquisition and Management
• Data Quality Assessment

• 2024: External Examiner for Jamie Pordoy’s PhD at University of West London (UWL):
• 2023: Invited talk: 4th annual vision and colour summer data blast optica technical groups:
• 2023: Invited talk in International Webinar on Image Analysis in Ophthalmology by Appraise :
• 2023: Invited talk in UK Metamaterial Network:
• 2023: Advisory Panel Member at Siloton :
• 2023: Invited talk in DEMON Network: Artificial Intelligence in Eye imaging: An easy-to-use mirror of brain-related abnormalities in Dementia
• 2022: Invited talk in Turing Network Development Award at QUB - AIQ Seminar on Ophthalmic Imaging:
• 2022: Guest Editor: in Advances in Optical Coherence Tomography Angiography (Diagnostics):
• 2022: Topic editor: in Artificial Intelligence in Cancer Diagnosis and Therapy:
• 2022: Invited talk on 'Machine learning in Healthcare' in Institute of Physics (IOP), London:
• 2020: Editorial Board Member of the 11 Iranian and the first International Conference on Machine Vision and Image Processing (MVIP) (2020):
• 2018: Section Editor in Journal of Medical Signals and Sensors (JMSS):
• 2010: Director of Student Committee in 17th Iranian Biomedical Engineering Conference (ICBME’17) (2010):
• 2007: Head of Biomedical engineering Section in 10th Iranian Student Conference on EE (ISCEE’07) (2007):

Chapter in book

• Introduction to Optical Coherence Tomography
  Hajizadeh, F., Kafieh, R., & Tajmirriahi, M. (2023). Introduction to Optical Coherence Tomography. In F. Hajizadeh (Ed.), Atlas of Ocular Optical Coherence Tomography (1-34). (2). Springer Verlag. https://doi.org/10.1007/978-3-031-07410-3_1
• Application of enface image registration/alignment to introduce new ocular imaging biomarkers
  Amini, Z., Kafieh, R., Tajmirriahi, M., Parsons, Z., & Rabbani, H. (2022). Application of enface image registration/alignment to introduce new ocular imaging biomarkers. In Photo Acoustic and Optical Coherence Tomography Imaging, Volume 2 (3-1 - 3-23). IOP Publishing. https://doi.org/10.1088/978-0-7503-2056-6ch3

Conference Paper

• Recursive autoencoder network for prediction of CAD model parameters from STEP files
  Miles, V., Giani, S., Vogt, O., & Kafieh, R. Recursive autoencoder network for prediction of CAD model parameters from STEP files
• Determination of Foveal Avascular Zone Parameters Using a New Location-Aware Deep-Learning Method.
  Sobhaninia, Z., Danesh, H., Kafieh, R., Balaji, J. J., & Lakshminarayanan, V. (2021, December). Determination of Foveal Avascular Zone Parameters Using a New Location-Aware Deep-Learning Method. Presented at APPLICATIONS OF MACHINE LEARNING 2021 SPIE
• OCT Image Denoising Based on Asymmetric Normal Laplace Mixture Model
  Jorjandi, S., Rabbani, H., Amini, Z., & Kafieh, R. (2019, December). OCT Image Denoising Based on Asymmetric Normal Laplace Mixture Model. Presented at 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
• Statistical Modeling of Optical Coherence Tomography Images by Asymmetric Normal Laplace Mixture Model
  Jorjandi, S., Rabbani, H., Kafieh, R., & Amini, Z. (2017, December). Statistical Modeling of Optical Coherence Tomography Images by Asymmetric Normal Laplace Mixture Model. Presented at 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) IEEE Engn Med \& Biol Soc; PubMed; MEDLINE; Korean Soc Med \& Biol Engn
• Exact Localization of Breakpoints of Retinal Pigment Epithelium in Optical Coherence Tomography of Optic Nerve Head
  Mokhtari, M., Rabbani, H., Mehri-Dehnavi, A., & Kafieh, R. (2017, December). Exact Localization of Breakpoints of Retinal Pigment Epithelium in Optical Coherence Tomography of Optic Nerve Head. Presented at 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) IEEE Engn Med \& Biol Soc; PubMed; MEDLINE; Korean Soc Med \& Biol Engn
• ASYMMETRY EVALUATION OF FUNDUS IMAGES IN RIGHT AND LEFT EYES USING RADON TRANSFORM AND FRACTAL ANALYSIS
  Mahmudi, T., Kafieh, R., Rabbani, H., Mehri, A., & Akhlagi, M. (2015, December). ASYMMETRY EVALUATION OF FUNDUS IMAGES IN RIGHT AND LEFT EYES USING RADON TRANSFORM AND FRACTAL ANALYSIS. Presented at 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) Inst Elect \& Elect Engineers; IEEE Signal Proc Soc
• Comparison of macular OCTs in right and left eyes of normal people
  Mahmudi, T., Kafieh, R., Rabbani, H., Dehnavi, A. M., & Akhlagi, M. (2014, December). Comparison of macular OCTs in right and left eyes of normal people. Presented at MEDICAL IMAGING 2014: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING SPIE; Modus Med Devices Inc; XIFIN Inc; Ventana Med Syst Inc; Intrace Med
• Combination of Graph Theoretic Grouping and Time-Frequency Analysis for Image Segmentation
  Kafieh, R., Rabbani, H., & Gazor, S. (2014, December). Combination of Graph Theoretic Grouping and Time-Frequency Analysis for Image Segmentation. Presented at 2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) IEEE; IEEE Signal Proc Soc
• Optical Coherence Tomography Noise Reduction Over Learned Dictionaries with Introduction of Complex Wavelet for start dictionary
  Kafieh, R., & Rabbani, H. (2013, December). Optical Coherence Tomography Noise Reduction Over Learned Dictionaries with Introduction of Complex Wavelet for start dictionary. Presented at WAVELETS AND SPARSITY XV SPIE
• VESSEL SEGMENTATION IN IMAGES OF OPTICAL COHERENCE TOMOGRAPHY USING SHADOW INFORMATION AND THICKENING OF RETINAL NERVE FIBER LAYER
  Kafieh, R., Danesh, H., Rabbani, H., Abramoff, M., & Sonka, M. (2013, December). VESSEL SEGMENTATION IN IMAGES OF OPTICAL COHERENCE TOMOGRAPHY USING SHADOW INFORMATION AND THICKENING OF RETINAL NERVE FIBER LAYER. Presented at 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) Inst Elect \& Elect Engineers; Inst Elect \& Elect Engineers Signal Proc Soc
• INTRA-RETINAL LAYER SEGMENTATION OF OPTICAL COHERENCE TOMOGRAPHY USING DIFFUSION MAP
  Kafieh, R., Rabbani, H., Abramoff, M., & Sonka, M. (2013, December). INTRA-RETINAL LAYER SEGMENTATION OF OPTICAL COHERENCE TOMOGRAPHY USING DIFFUSION MAP. Presented at 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) Inst Elect \& Elect Engineers; Inst Elect \& Elect Engineers Signal Proc Soc
• OCT Image Alignment Using Diffusion Maps
  Kafieh, R., Rabbani, H., Abramoff, M. D., & Sonka, M. (2012, December). OCT Image Alignment Using Diffusion Maps. Presented at MEDICAL IMAGING 2012: IMAGE PROCESSING SPIE; Agilent Technol; Diamond SA; DQE Instruments Inc; eMagin; Isuzu Glass Co Ltd; Medtron Inc; Ocean Thin Films Inc
• Circular symmetric Laplacian mixture model in wavelet diffusion for dental image denoising
  Kafieh, R., Rabbani, H., & Foroohandeh, M. (2012, December). Circular symmetric Laplacian mixture model in wavelet diffusion for dental image denoising. Presented at MEDICAL IMAGING 2012: IMAGE PROCESSING SPIE; Agilent Technol; Diamond SA; DQE Instruments Inc; eMagin; Isuzu Glass Co Ltd; Medtron Inc; Ocean Thin Films Inc
• WAVELET-BASED MEDICAL INFRARED IMAGE NOISE REDUCTION USING LOCAL MODEL FOR SIGNAL AND NOISE
  Kafieh, R., & Rabbani, H. (2011, December). WAVELET-BASED MEDICAL INFRARED IMAGE NOISE REDUCTION USING LOCAL MODEL FOR SIGNAL AND NOISE. Presented at 2011 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) IEEE
• Discrimination of Bony Structures in Cephalograms for Automatic Landmark Detection
  Kafieh, R., Sadri, S., Mehri, A., & Raji, H. (2008, December). Discrimination of Bony Structures in Cephalograms for Automatic Landmark Detection. Presented at ADVANCES IN COMPUTER SCIENCE AND ENGINEERING
• Automatic landmark detection in-cephalometry using a modified active shape model with sub image matching
  Kafieh, R., mehri, A., & sadri, S. (2007, December). Automatic landmark detection in-cephalometry using a modified active shape model with sub image matching. Presented at INTERNATIONAL CONFERENCE ON MACHINE VISION 2007, PROCEEDINGS Coll Signals; Natl Univ Sci \& Technol
• Detection of ventricular arrhythmias using roots location in AR-modelling
  Kafieh, R., Mehri, A., & Amirfattahi, R. (2007, December). Detection of ventricular arrhythmias using roots location in AR-modelling. Presented at 2007 6TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS \& SIGNAL PROCESSING, VOLS 1-4
• Using a combination of model based and intelligent methods in automatic landmark detection in cephalometry
  Kafieh, R., Sadri, S., mehri, A., & Raji, H. (2007, December). Using a combination of model based and intelligent methods in automatic landmark detection in cephalometry. Presented at 2007 INNOVATIONS IN INFORMATION TECHNOLOGIES, VOLS 1 AND 2 IEEE

Edited book

• Artificial Intelligence in Cancer Diagnosis and Therapy
  Khayyam, H., Madani, A., Kafieh, R., & Hekmatnia, A. (Eds.). (2023). Artificial Intelligence in Cancer Diagnosis and Therapy. MDPI

Journal Article

• Corpus Callosum Indices are Correlated with Disability and Cognitive Performance in Patients with Multiple Sclerosis: A Systematic Review and -Analysis
  Tabibian, F., Hoseini, E., Motahharynia, A., Azimzadeh, K., Kafieh, R., Amini, Z., & Adibi, I. (online). Corpus Callosum Indices are Correlated with Disability and Cognitive Performance in Patients with Multiple Sclerosis: A Systematic Review and -Analysis. Multiple Sclerosis and Related Disorders, Article 106522. https://doi.org/10.1016/j.msard.2025.106522
• Association of myopia and parapapillary choroidal microvascular density in primary open-angle glaucoma
  Suwan, Y., Chansangpetch, S., Fard, M. A., Pooprasert, P., Chalardsakul, K., Threetong, T., Tipparut, S., Saaensupho, T., Tantraworasin, A., Hojati, S., Kafieh, R., Danesh, H., Petpiroon, P., & Supakontanasan, W. (2025). Association of myopia and parapapillary choroidal microvascular density in primary open-angle glaucoma. PLoS ONE, 20(2), Article e0317881. https://doi.org/10.1371/journal.pone.0317881
• Association of peripapillary retinal nerve fiber layer atrophy with cognitive impairment in patients with neuromyelitis optica spectrum disorder.
  Barzegar, M., Ashtari, F., Kafieh, R., Karimi, Z., Dehghani, A., Ghalamkari, A., Afshari-Safavi, A., & Paul, F. (2025). Association of peripapillary retinal nerve fiber layer atrophy with cognitive impairment in patients with neuromyelitis optica spectrum disorder. Neurological Sciences, 46(2), 861-870. https://doi.org/10.1007/s10072-024-07897-8
• Application of Artificial Intelligence in Ophthalmology: An Updated Comprehensive Review.
  Hashemian, H., Peto, T., Ambrósio, R., Lengyel, I., Kafieh, R., Muhammed Noori, A., & Khorrami-Nejad, M. (2024). Application of Artificial Intelligence in Ophthalmology: An Updated Comprehensive Review. Journal of Ophthalmic and Vision Research, 19(3), 354-367. https://doi.org/10.18502/jovr.v19i3.15893
• Discrimination of multiple sclerosis using scanning laser ophthalmoscopy images with autoencoder-based feature extraction
  Aghababaei, A., Arian, R., Soltanipour, A., Ashtari, F., Rabbani, H., & Kafieh, R. (2024). Discrimination of multiple sclerosis using scanning laser ophthalmoscopy images with autoencoder-based feature extraction. Multiple Sclerosis and Related Disorders, 88, Article 105743. https://doi.org/10.1016/j.msard.2024.105743
• Deep learning for discrimination of active and inactive lesions in multiple sclerosis using non-contrast FLAIR MRI: A multicenter study.
  Amini, A., Shayganfar, A., Amini, Z., Ostovar, L., HajiAhmadi, S., Chitsaz, N., Rabbani, M., & Kafieh, R. (2024). Deep learning for discrimination of active and inactive lesions in multiple sclerosis using non-contrast FLAIR MRI: A multicenter study. Multiple Sclerosis and Related Disorders, 87, Article 105642. https://doi.org/10.1016/j.msard.2024.105642
• SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images.
  Arian, R., Aghababaei, A., Soltanipour, A., Khodabandeh, Z., Rakhshani, S., Iyer, S. B., Ashtari, F., Rabbani, H., & Kafieh, R. (2024). SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images. Translational Vision Science & Technology, 13(7), Article 13. https://doi.org/10.1167/tvst.13.7.13
• Diagnosis of multiple sclerosis by detecting asymmetry within the retina using a similarity-based neural network
  Bolton, R. C., Kafieh, R., Ashtari, F., & Atapour-Abarghouei, A. (2024). Diagnosis of multiple sclerosis by detecting asymmetry within the retina using a similarity-based neural network. IEEE Access, 12, 62975-62985. https://doi.org/10.1109/access.2024.3395995
• Application of ImageJ in Optical Coherence Tomography Angiography (OCT-A): A Literature Review
  Rahimi, M., Khameneh, E. A., Riazi-Esfahani, H., Mahmoudi, T., Khalili Pour, E., & Kafieh, R. (2023). Application of ImageJ in Optical Coherence Tomography Angiography (OCT-A): A Literature Review. Journal of Ophthalmology, 2023, https://doi.org/10.1155/2023/9479183
• Parapapillary choroidal microvascular density in acute primary angle-closure and primary open-angle glaucoma: an optical coherence tomography angiography study
  Suwan, Y., Aghsaei Fard, M., Vilainerun, N., Petpiroon, P., Tantraworasin, A., Teekhasaenee, C., Ritch, R., Kafieh, R., Hojati, S., & Supakontanasan, W. (2023). Parapapillary choroidal microvascular density in acute primary angle-closure and primary open-angle glaucoma: an optical coherence tomography angiography study. British Journal of Ophthalmology, 107(10), 1438-1443. https://doi.org/10.1136/bjo-2021-321022
• Loss-Modified Transformer-Based U-Net for Accurate Segmentation of Fluids in Optical Coherence Tomography Images of Retinal Diseases.
  Darooei, R., Nazari, M., Kafieh, R., & Rabbani, H. (2023). Loss-Modified Transformer-Based U-Net for Accurate Segmentation of Fluids in Optical Coherence Tomography Images of Retinal Diseases. Journal of Medical Signals and Sensors, 13(4), 253-260. https://doi.org/10.4103/jmss.jmss_52_22
• Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset
  Parsarad, S., Saeedizadeh, N., Soufi, G. J., Shafieyoon, S., Hekmatnia, F., Zarei, A. P., Soleimany, S., Yousefi, A., Nazari, H., Torabi, P., S. Milani, A., Madani Tonekaboni, S. A., Rabbani, H., Hekmatnia, A., & Kafieh, R. (2023). Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset. Journal of Imaging, 9(8), Article 159. https://doi.org/10.3390/jimaging9080159
• Differentiating Glaucomatous Optic Neuropathy from Non-Glaucomatous Optic Neuropathies Using Deep Learning Algorithms
  Vali, M., Mohammadi, M., Zarei, N., Samadi, M., Atapour-Abarghouei, A., Supakontanasan, W., Suwan, Y., Subramanian, P. S., Miller, N. R., Kafieh, R., & Fard, M. A. (2023). Differentiating Glaucomatous Optic Neuropathy from Non-Glaucomatous Optic Neuropathies Using Deep Learning Algorithms. American Journal of Ophthalmology, 252, 1-8. https://doi.org/10.1016/j.ajo.2023.02.016
• Discrimination of multiple sclerosis using OCT images from two different centers
  Khodabandeh, Z., Rabbani, H., Ashtari, F., Zimmermann, H. G., Motamedi, S., Brandt, A. U., Paul, F., & Kafieh, R. (2023). Discrimination of multiple sclerosis using OCT images from two different centers. Multiple Sclerosis and Related Disorders, 77(September), Article 104846. https://doi.org/10.1016/j.msard.2023.104846
• Diagnostic value of intereye difference metrics for optic neuritis in aquaporin-4 antibody seropositive neuromyelitis optica spectrum disorders
  Oertel, F. C., Zimmermann, H. G., Motamedi, S., Chien, C., Aktas, O., Albrecht, P., Ringelstein, M., Dcunha, A., Pandit, L., Martinez-Lapiscina, E. H., Sanchez-Dalmau, B., Villoslada, P., Palace, J., Roca-Fernández, A., Leite, M. I., Sharma, S. M., Leocani, L., Pisa, M., Radaelli, M., Lana-Peixoto, M. A., …Petzold, A. (2023). Diagnostic value of intereye difference metrics for optic neuritis in aquaporin-4 antibody seropositive neuromyelitis optica spectrum disorders. Journal of Neurology, Neurosurgery and Psychiatry, 94(7), 560-566. https://doi.org/10.1136/jnnp-2022-330608
• GMDH-Kalman Filter prediction of high-cycle fatigue life of drilled industrial composites: A hybrid machine learning with limited data
  Khayyam, H., Shahkhosravi, N. A., Jamali, A., Naebe, M., Kafieh, R., & Milani, A. S. (2023). GMDH-Kalman Filter prediction of high-cycle fatigue life of drilled industrial composites: A hybrid machine learning with limited data. Expert Systems with Applications, 216, Article 119425. https://doi.org/10.1016/j.eswa.2022.119425
• CNV-Net: Segmentation, Classification and Activity Score Measurement of Choroidal Neovascularization (CNV) Using Optical Coherence Tomography Angiography (OCTA)
  Vali, M., Nazari, B., Sadri, S., Pour, E. K., Riazi-Esfahani, H., Faghihi, H., Ebrahimiadib, N., Azizkhani, M., Innes, W., Steel, D. H., Hurlbert, A., Read, J. C., & Kafieh, R. (2023). CNV-Net: Segmentation, Classification and Activity Score Measurement of Choroidal Neovascularization (CNV) Using Optical Coherence Tomography Angiography (OCTA). Diagnostics, 13(7), Article 1309. https://doi.org/10.3390/diagnostics13071309
• Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images with Low-Contrast Sclerochoroidal Junction Using Deep Learning
  Arian, R., Mahmoudi, T., Riazi-Esfahani, H., Faghihi, H., Mirshahi, A., Ghassemi, F., Khodabande, A., Kafieh, R., & Khalili Pour, E. (2023). Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images with Low-Contrast Sclerochoroidal Junction Using Deep Learning. Photonics, 10(3), Article 234. https://doi.org/10.3390/photonics10030234
• Dual-Tree Complex Wavelet Input Transform for Cyst Segmentation in OCT Images Based on a Deep Learning Framework
  Darooei, R., Nazari, M., Kafieh, R., & Rabbani, H. (2023). Dual-Tree Complex Wavelet Input Transform for Cyst Segmentation in OCT Images Based on a Deep Learning Framework. Photonics, 10(1), Article 11. https://doi.org/10.3390/photonics10010011
• A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification
  Arian, R., Vard, A., Kafieh, R., Plonka, G., & Rabbani, H. (2023). A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification. Scientific Reports, 13(1), Article 22582. https://doi.org/10.1038/s41598-023-50164-7
• Optimal Deep Learning Architecture for Automated Segmentation of Cysts in OCT Images Using X-Let Transforms
  Darooei, R., Nazari, M., Kafieh, R., & Rabbani, H. (2023). Optimal Deep Learning Architecture for Automated Segmentation of Cysts in OCT Images Using X-Let Transforms. Diagnostics, 13(12), Article 1994. https://doi.org/10.3390/diagnostics13121994
• Differentiation between Pancreatic Ductal Adenocarcinoma and Normal Pancreatic Tissue for Treatment Response Assessment using Multi-Scale Texture Analysis of CT Images
  Mahmoudi, T., Radmard, A., Salehnia, A., Ahmadian, A., Davarpanah, A., Kafieh, R., & Arabalibeik, H. (2022). Differentiation between Pancreatic Ductal Adenocarcinoma and Normal Pancreatic Tissue for Treatment Response Assessment using Multi-Scale Texture Analysis of CT Images. Journal of biomedical physics and engineering, 12(6), 655-668. https://doi.org/10.31661/jbpe.v0i0.2102-1283
• Synthetic OCT Data Generation to Enhance the Performance of Diagnostic Models for Neurodegenerative Diseases
  Danesh, H., Steel, D. H., Hogg, J., Ashtari, F., Innes, W., Bacardit, J., Hurlbert, A., Read, J. C., & Kafieh, R. (2022). Synthetic OCT Data Generation to Enhance the Performance of Diagnostic Models for Neurodegenerative Diseases. Translational Vision Science & Technology, 11(10), Article 10. https://doi.org/10.1167/tvst.11.10.10
• Glioma segmentation with DWI weighted images, conventional anatomical images, and post-contrast enhancement magnetic resonance imaging images by U-Net
  Khorasani, A., Kafieh, R., Saboori, M., & Tavakoli, M. B. (2022). Glioma segmentation with DWI weighted images, conventional anatomical images, and post-contrast enhancement magnetic resonance imaging images by U-Net. Physical and Engineering Sciences in Medicine, 45(3), 925-934. https://doi.org/10.1007/s13246-022-01164-w
• Dynamic Brain Connectivity in Resting-State FMRI Using Spectral ICA and Graph Approach: Application to Healthy Controls and Multiple Sclerosis
  Riazi, A. H., Rabbani, H., & Kafieh, R. (2022). Dynamic Brain Connectivity in Resting-State FMRI Using Spectral ICA and Graph Approach: Application to Healthy Controls and Multiple Sclerosis. Diagnostics, 12(9), Article 2263. https://doi.org/10.3390/diagnostics12092263
• Intraretinal Layer Segmentation Using Cascaded Compressed U-Nets
  Yadav, S. K., Kafieh, R., Zimmermann, H. G., Kauer-Bonin, J., Nouri-Mahdavi, K., Mohammadzadeh, V., Shi, L., Kadas, E. M., Paul, F., Motamedi, S., & Brandt, A. U. (2022). Intraretinal Layer Segmentation Using Cascaded Compressed U-Nets. Journal of Imaging, 8(5), Article 139. https://doi.org/10.3390/jimaging8050139
• Retinal Optical Coherence Tomography in Neuromyelitis Optica (vol 8, e1068, 2021)
  Oertel, F. C., Specovius, S., Zimmermann, H. G., Chien, C., Motamedi, S., Bereuter, C., Cook, L., Lana Peixoto, M. A., Fontanelle, M. A., Kim, H. J., Hyun, J.-W., Palace, J., Roca-Fernandez, A., Leite, M. I., Sharma, S., Ashtari, F., Kafieh, R., Dehghani, A., Pourazizi, M., Pandit, L., …Paul, F. (2022). Retinal Optical Coherence Tomography in Neuromyelitis Optica (vol 8, e1068, 2021). Neurology, 9(2), Article e1132. https://doi.org/10.1212/nxi.0000000000001132
• Astrocytic outer retinal layer thinning is not a feature in AQP4-IgG seropositive neuromyelitis optica spectrum disorders
  Lu, A., Zimmermann, H. G., Specovius, S., Motamedi, S., Chien, C., Bereuter, C., Lana-Peixoto, M. A., Fontenelle, M. A., Ashtari, F., Kafieh, R., Dehghani, A., Pourazizi, M., Pandit, L., D'Cunha, A., Kim, H. J., Hyun, J.-W., Jung, S.-K., Leocani, L., Pisa, M., Radaelli, M., …Int Clinical Consortium, G. (2022). Astrocytic outer retinal layer thinning is not a feature in AQP4-IgG seropositive neuromyelitis optica spectrum disorders. Journal of Neurology, Neurosurgery and Psychiatry, 93(2), 188-195. https://doi.org/10.1136/jnnp-2021-327412
• Measurement of retinal nerve fiber layer thickness with a deep learning algorithm in ischemic optic neuropathy and optic neuritis
  Razaghi, G., Hedayati, E., Hejazi, M., Kafieh, R., Samadi, M., Ritch, R., Subramanian, P. S., & Aghsaei Fard, M. (2022). Measurement of retinal nerve fiber layer thickness with a deep learning algorithm in ischemic optic neuropathy and optic neuritis. Scientific Reports, 12(1), Article 17109. https://doi.org/10.1038/s41598-022-22135-x
• A Device-independent, Shape Preserving Retinal Optical Coherence Tomography Image Alignment Method Applying TV-Unet for RPE Layer Detection
  Saeedizadeh, N., Tajmirriahi, M., Haghani, A., Amini, Z., Pour, E. K., Riazi-Esfahani, H., Fadakar, K., Kafieh, R., & Rabbani, H. (2022). A Device-independent, Shape Preserving Retinal Optical Coherence Tomography Image Alignment Method Applying TV-Unet for RPE Layer Detection. IEEE Transactions on Instrumentation and Measurement, 71, https://doi.org/10.1109/tim.2022.3185653
• An Interpretable Convolutional Neural Network for P300 Detection: Analysis of Time Frequency Features for Limited Data
  Tajmirriahi, M., Amini, Z., Rabbani, H., & Kafieh, R. (2022). An Interpretable Convolutional Neural Network for P300 Detection: Analysis of Time Frequency Features for Limited Data. IEEE Sensors Journal, 22(9), 8685-8692. https://doi.org/10.1109/jsen.2022.3159475
• Segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture descriptors
  Mahmoudi, T., Kouzahkanan, Z. M., Radmard, A. R., Kafieh, R., Salehnia, A., Davarpanah, A. H., Arabalibeik, H., & Ahmadian, A. (2022). Segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture descriptors. Scientific Reports, 12(1), Article 3092. https://doi.org/10.1038/s41598-022-07111-9
• Synthetic OCT data in challenging conditions: three-dimensional OCT and presence of abnormalities
  Danesh, H., Maghooli, K., Dehghani, A., & Kafieh, R. (2022). Synthetic OCT data in challenging conditions: three-dimensional OCT and presence of abnormalities. Medical and Biological Engineering and Computing, 60(1), 189-203. https://doi.org/10.1007/s11517-021-02469-w
• An optimized deep learning approach based on autoencoder network for P300 detection in brain computer interface systems
  Afrah, R., Amini, Z., Kafieh, R., & Vard, A. (2022). An optimized deep learning approach based on autoencoder network for P300 detection in brain computer interface systems. Medical Journal of Tabriz University of Medical Science, 44(4), 270-280. https://doi.org/10.34172/mj.2022.033
• A Dual Discriminator Fourier Acquisitive GAN for Generating Retinal Optical Coherence Tomography Images
  Tajmirriahi, M., Kafieh, R., Amini, Z., & Lakshminarayanan, V. (2022). A Dual Discriminator Fourier Acquisitive GAN for Generating Retinal Optical Coherence Tomography Images. IEEE Transactions on Instrumentation and Measurement, 71, https://doi.org/10.1109/tim.2022.3189735
• Retinal Optical Coherence Tomography in Neuromyelitis Optica
  Oertel, F. C., Specovius, S., Zimmermann, H. G., Chien, C., Motamedi, S., Bereuter, C., Cook, L., Lana Peixoto, M. A., Fontanelle, M. A., Kim, H. J., Hyun, J.-W., Palace, J., Roca-Fernandez, A., Leite, M. I., Sharma, S., Ashtari, F., Kafieh, R., Dehghani, A., Pourazizi, M., Pandit, L., …Paul, F. (2021). Retinal Optical Coherence Tomography in Neuromyelitis Optica. Neurology, 8(6), Article e1068. https://doi.org/10.1212/nxi.0000000000001068
• Absence of astrocytic outer retinal layer thinning in AQP4-IgG seropositive neuromyelitis optica spectrum disorders
  Lu, A., Zimmermann, H., Specovius, S., Motamedi, S., Chien, C., Lana-Peixoto, M. A., Fontenelle, M. A., Ashtari, F., Kafieh, R., Pandit, L., Dcunha, A., Kim, H., Hyun, J. .-W., Leocani, L., Pisa, M., Radaelli, M., Siritho, S., May, E., Tongco, C., de Seze, J., …Int Clinical Consortiu, G. (2021). Absence of astrocytic outer retinal layer thinning in AQP4-IgG seropositive neuromyelitis optica spectrum disorders. Multiple Sclerosis Journal, 27(2\_SUPPL, 2\_, SI), 493-495
• Optical Coherence Tomography in Neuromyelitis Optica spectrum disorder and Multiple Sclerosis: A population-based study (vol 47, 102625, 2021)
  Ashtari, F., Ataei, A., Kafieh, R., Khodabandeh, Z., Barzegar, M., Raei, M., Dehghani, A., & Mansurian, M. (2021). Optical Coherence Tomography in Neuromyelitis Optica spectrum disorder and Multiple Sclerosis: A population-based study (vol 47, 102625, 2021). Multiple Sclerosis and Related Disorders, 54, Article 103116. https://doi.org/10.1016/j.msard.2021.103116
• Automated Evaluation of Parapapillary Choroidal Microvasculature in Pseudoexfoliation Syndrome and Pseudoexfoliation Glaucoma
  Fard, M. A., Safizadeh, M., Shaabani, A., Kafieh, R., Hojati, S., Afzali, M., Suwan, Y., Ritch, R., & Moghimi, S. (2021). Automated Evaluation of Parapapillary Choroidal Microvasculature in Pseudoexfoliation Syndrome and Pseudoexfoliation Glaucoma. American Journal of Ophthalmology, 224, 178-184. https://doi.org/10.1016/j.ajo.2020.12.002
• A Lightweight Mimic Convolutional Auto-Encoder for Denoising Retinal Optical Coherence Tomography Images
  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, Article 4503908. https://doi.org/10.1109/tim.2021.3072109
• Livelayer: a semi-automatic software program for segmentation of layers and diabetic macular edema in optical coherence tomography images
  Montazerin, M., Sajjadifar, Z., Pour, E. K., Riazi-Esfahani, H., Mahmoudi, T., Rabbani, H., Movahedian, H., Dehghani, A., Akhlaghi, M., & 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), Article 13794. https://doi.org/10.1038/s41598-021-92713-y
• Optical Coherence Tomography in Neuromyelitis Optica spectrum disorder and Multiple Sclerosis: A population-based study
  Ashtari, F., Ataei, A., Kafieh, R., Khodabandeh, Z., Barzegar, M., Raei, M., Dehghani, A., & Mansurian, M. (2021). Optical Coherence Tomography in Neuromyelitis Optica spectrum disorder and Multiple Sclerosis: A population-based study. Multiple Sclerosis and Related Disorders, 47, Article 102625. https://doi.org/10.1016/j.msard.2020.102625
• COVID-19 in Iran: Forecasting Pandemic Using Deep Learning
  Kafieh, R., Arian, R., Saeedizadeh, N., Amini, Z., Serej, N. D., Minaee, S., Yadav, S. K., Vaezi, A., Rezaei, N., & Javanmard, S. H. (2021). COVID-19 in Iran: Forecasting Pandemic Using Deep Learning. Computational and mathematical methods in medicine, 2021, Article 6927985. https://doi.org/10.1155/2021/6927985
• Retinal OCT Texture Analysis for Differentiating Healthy Controls from Multiple Sclerosis (MS) with/without Optic Neuritis
  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, 2021, Article 5579018. https://doi.org/10.1155/2021/5579018
• Evaluation of Asymmetry in Right and Left Eyes of Normal Individuals Using Extracted Features from Optical Coherence Tomography and Fundus Images
  Mahmudi, T., Kafieh, R., Rabbani, H., Mehri, A., & 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. https://doi.org/10.4103/jmss.jmss%5C_67%5C_19
• Isfahan and Covid-19: Deep spatiotemporal representation
  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 and Fractals, 141, Article 110339. https://doi.org/10.1016/j.chaos.2020.110339
• Optical coherence tomography in aquaporin-4-IgG positive neuromyelitis optica spectrum disorders: a collaborative multi-center study
  Oertel, F., Specovius, S., Zimmermann, H., Chien, C., Motamedi, S., Cook, L., Lana-Peixoto, M., Fontenelle, M., Kim, H., Hyun, J. .-W., Palace, J., Roca-Fernandez, A., Ashtari, F., Kafieh, R., Pandit, L., D'Cunha, A., Aktas, O., Ringelstein, M., May, E., Tongco, C., …Paul, F. (2020). Optical coherence tomography in aquaporin-4-IgG positive neuromyelitis optica spectrum disorders: a collaborative multi-center study. Multiple Sclerosis Journal, 26(3\_SUPPL, 3\_, SI), 33-34
• Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning
  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, Article 101794. https://doi.org/10.1016/j.media.2020.101794
• Automated Evaluation of Parapapillary Choroidal Microvasculature in Ischemic Optic Neuropathy and Open Angle Glaucoma
  Fard, M. A., Salabati, M., Mahmoudzadeh, R., Kafieh, R., Hojati, S., Safizadeh, M., Moghimi, S., Ritch, R., & Subramanian, P. S. (2020). Automated Evaluation of Parapapillary Choroidal Microvasculature in Ischemic Optic Neuropathy and Open Angle Glaucoma. Investigative Ophthalmology & Visual Science, 61(3), Article 35. https://doi.org/10.1167/iovs.61.3.35
• NF-RCNN: Heart localization and right ventricle wall motion abnormality detection in cardiac MRI
  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. https://doi.org/10.1016/j.ejmp.2020.01.011
• A MATLAB package for automatic extraction of flow index in OCT-A images by intelligent vessel manipulation
  Hojati, S., Kafieh, R., Fardafshari, P., Fard, M. A., & Fouladi, H. (2020). A MATLAB package for automatic extraction of flow index in OCT-A images by intelligent vessel manipulation. SoftwareX, 12, Article 100510. https://doi.org/10.1016/j.softx.2020.100510
• An Exact and Fast CBCT Reconstruction via Pseudo-Polar Fourier Transform-Based Discrete Grangeat's Formula
  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. https://doi.org/10.1109/tip.2020.2985874
• Automatic production of synthetic labelled OCT images using an active shape model
  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. https://doi.org/10.1049/iet-ipr.2020.0075
• Classification of dry age-related macular degeneration and diabetic macular oedema from optical coherence tomography images using dictionary learning
  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. https://doi.org/10.1049/iet-ipr.2018.6186
• Forming Optimal Projection Images from Intra-Retinal Layers Using Curvelet-Based Image Fusion Method
  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), 76-85. https://doi.org/10.4103/jmss.jmss%5C_43%5C_19
• Cohort profile: a collaborative multicentre study of retinal optical coherence tomography in 539 patients with neuromyelitis optica spectrum disorders (CROCTINO)
  Specovius, S., Zimmermann, H. G., Oertel, F. C., Chien, C., Bereuter, C., Cook, L. J., Lana Peixoto, M. A., Fontenelle, M. A., Kim, H. J., Hyun, J.-W., Jung, S.-K., Palace, J., Roca-Fernandez, A., Diaz, A. R., Leite, M. I., Sharma, S. M., Ashtari, F., Kafieh, R., Dehghani, A., Pourazizi, M., …Int Clinical Consortium, G. (2020). Cohort profile: a collaborative multicentre study of retinal optical coherence tomography in 539 patients with neuromyelitis optica spectrum disorders (CROCTINO). BMJ Open, 10(10), Article e035397. https://doi.org/10.1136/bmjopen-2019-035397
• Automatic Evaluation of Crown Preparation Using Image Processing Techniques: A Substitute to Faculty Scoring in Dental Education
  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 and Sensors, 10(4), 239-248. https://doi.org/10.4103/jmss.jmss%5C_5%5C_20
• Local comparison of cup to disc ratio in right and left eyes based on fusion of color fundus images and OCT B-scans
  Mokhtari, M., Rabbani, H., Mehri-Dehnavi, A., Kafieh, R., Akhlaghi, M.-R., Pourazizi, M., & Pang, 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. https://doi.org/10.1016/j.inffus.2018.10.010
• An international retrospective multi-center study of retinal optical coherence tomography in neuromyelitis optica spectrum disorders: the CROCTINO study
  Oertel, F., Specovius, S., Zimmermann, H., Chien, C., Motamedi, S., Cook, L., Martinez-Lapiscina, E., Lana Peixoto, M., Fontenelle, M., Palace, J., Roca-Fernandez, A., Siritho, S., Altintas, A., Tanriverdi, U., Jacob, A., Huda, S., Marignier, R., Nerrant, E., Calvo, A. C., de Seze, J., …Int Clinical Consortium, G. (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, SI), 709-711
• Automatic Multifaceted Matlab Package for Analysis of Ocular Images (AMPAO)
  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, Article 100339. https://doi.org/10.1016/j.softx.2019.100339
• Bandlets on Oriented Graphs: Application to Medical Image Enhancement
  Kafieh, R., Rabbani, H., & Unal, G. (2019). Bandlets on Oriented Graphs: Application to Medical Image Enhancement. IEEE Access, 7, 32589-32601. https://doi.org/10.1109/access.2019.2903467
• A hybrid graph-based approach for right ventricle segmentation in cardiac MRI by long axis information transition
  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. https://doi.org/10.1016/j.ejmp.2018.09.011
• Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation
  Rabbani, H., Kafieh, R., Jahromi, M. K., Jorjandi, S., Dehnavi, A. M., 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, Article 1420230. https://doi.org/10.1155/2016/1420230
• Three Dimensional Data-Driven Multi Scale Atomic Representation of Optical Coherence Tomography
  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. https://doi.org/10.1109/tmi.2014.2374354
• Thickness Mapping of Eleven Retinal Layers Segmented Using the Diffusion Maps Method in Normal Eyes
  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, Article 259123. https://doi.org/10.1155/2015/259123
• Segmentation of Choroidal Boundary in Enhanced Depth Imaging OCTs Using a Multiresolution Texture Based Modeling in Graph Cuts
  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, Article 479268. https://doi.org/10.1155/2014/479268
• Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map
  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. https://doi.org/10.1016/j.media.2013.05.006
• An Accurate Multimodal 3-D Vessel Segmentation Method Based on Brightness Variations on OCT Layers and Curvelet Domain Fundus Image Analysis
  Kafieh, R., Rabbani, H., Hajizadeh, F., & Ommani, M. (2013). An Accurate Multimodal 3-D Vessel Segmentation Method Based on Brightness Variations on OCT Layers and Curvelet Domain Fundus Image Analysis. IEEE Transactions on Biomedical Engineering, 60(10), 2815-2823. https://doi.org/10.1109/tbme.2013.2263844
• Breast cancer detection from thermal images using bispectral invariant features
  EtehadTavakol, M., Chandran, V., Ng, E., & Kafieh, R. (2013). Breast cancer detection from thermal images using bispectral invariant features. International Journal of Thermal Sciences, 69, 21-36. https://doi.org/10.1016/j.ijthermalsci.2013.03.001
• Curvature correction of retinal OCTs using graph-based geometry detection
  Kafieh, R., Rabbani, H., Abramoff, M. D., & Sonka, M. (2013). Curvature correction of retinal OCTs using graph-based geometry detection. https://doi.org/10.1088/0031-9155/58/9/2925
• Automatic detection of defects on polyethylene pipe welding using thermal infrared imaging
  Kafieh, R., Lotfi, T., & Amirfattahi, R. (2011). Automatic detection of defects on polyethylene pipe welding using thermal infrared imaging. https://doi.org/10.1016/j.infrared.2010.12.010