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ORCIDRahele Kafieh
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2020 – today
- 2024
[j23]Regan Cain Bolton, Rahele Kafieh
, Fereshteh Ashtari, Amir Atapour-Abarghouei:
Diagnosis of Multiple Sclerosis by Detecting Asymmetry Within the Retina Using a Similarity-Based Neural Network. IEEE Access 12: 62975-62985 (2024)- [j22]Neda Yaghoubi, Hassan Masumi, Mohammad Hossein Fatehi, Fereshteh Ashtari, Rahele Kafieh:
Deep learning and classic machine learning models in the automatic diagnosis of multiple sclerosis using retinal vessels. Multim. Tools Appl. 83(13): 37483-37504 (2024) - 2023
- [j21]Hamid Khayyam, Naeim Akbari Shahkhosravi, Ali Jamali, Minoo Naebe, Rahele Kafieh, Abbas S. Milani:
GMDH-Kalman Filter prediction of high-cycle fatigue life of drilled industrial composites: A hybrid machine learning with limited data. Expert Syst. Appl. 216: 119425 (2023) - [j20]Shiva Parsarad, Narges Saeedizadeh, Ghazaleh Jamalipour Soufi, Shamim Shafieyoon, Farzaneh Hekmatnia, Andrew Parviz Zarei, Samira Soleimany, Amir Yousefi, Hengameh Nazari, Pegah Torabi, Abbas S. Milani, Seyed Ali Madani Tonekaboni, Hossein Rabbani, Ali Hekmatnia, Rahele Kafieh:
Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset. J. Imaging 9(8): 159 (2023) - 2022
- [j19]Sunil Kumar Yadav, Rahele Kafieh, Hanna Gwendolyn Zimmermann, Josef Kauer-Bonin, Kouros Nouri-Mahdavi, Vahid Mohammadzadeh, Lynn Shi, Ella Maria Kadas, Friedemann Paul, Seyedamirhosein Motamedi, Alexander Ulrich Brandt:
Intraretinal Layer Segmentation Using Cascaded Compressed U-Nets. J. Imaging 8(5): 139 (2022) - [j18]Hajar Danesh, Keivan Maghooli, Alireza Dehghani, Rahele Kafieh:
Synthetic OCT data in challenging conditions: three-dimensional OCT and presence of abnormalities. Medical Biol. Eng. Comput. 60(1): 189-203 (2022) - [j17]Narges Saeedizadeh, Mahnoosh Tajmirriahi, Alireza Haghani, Zahra Amini, Elias Khalili Pour, Hamid Riazi-Esfahani, Kaveh Fadakar, Rahele Kafieh, Hossein Rabbani:
A Device-Independent, Shape Preserving Retinal Optical Coherence Tomography Image Alignment Method Applying TV-Unet for RPE Layer Detection. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [j16]Mahnoosh Tajmirriahi, Rahele Kafieh, Zahra Amini, Vasudevan Lakshminarayanan:
A Dual-Discriminator Fourier Acquisitive GAN for Generating Retinal Optical Coherence Tomography Images. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - 2021
- [j15]Rahele Kafieh, Roya Arian, Narges Saeedizadeh, Zahra Amini, Nasim Dadashi Serej, Shervin Minaee, Sunil Kumar Yadav, Atefeh Vaezi, Nima Rezaei, Shaghayegh Haghjooy Javanmard:
COVID-19 in Iran: Forecasting Pandemic Using Deep Learning. Comput. Math. Methods Medicine 2021: 6927985:1-6927985:16 (2021) - [j14]Mahnoosh Tajmirriahi, Rahele Kafieh, Zahra Amini, Hossein Rabbani:
A Lightweight Mimic Convolutional Auto-Encoder for Denoising Retinal Optical Coherence Tomography Images. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - 2020
- [j13]Elahe Mousavi, Rahele Kafieh, Hossein Rabbani:
Classification of dry age-related macular degeneration and diabetic macular oedema from optical coherence tomography images using dictionary learning. IET Image Process. 14(8): 1571-1579 (2020) - [j12]Hajar Danesh, Keivan Maghooli, Alireza Dehghani, Rahele Kafieh:
Automatic production of synthetic labelled OCT images using an active shape model. IET Image Process. 14(15): 3812-3818 (2020) - [j11]Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi:
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning. Medical Image Anal. 65: 101794 (2020) - [j10]Sahar Hojati, Rahele Kafieh, Parisa Fardafshari, Masoud Aghsaei Fard, Hatef Fouladi:
A MATLAB package for automatic extraction of flow index in OCT-A images by intelligent vessel manipulation. SoftwareX 12: 100510 (2020) - [j9]Niloufar Teyfouri, Hossein Rabbani, Raheleh Kafieh, Iraj Jabbari:
An Exact and Fast CBCT Reconstruction via Pseudo-Polar Fourier Transform-Based Discrete Grangeat's Formula. IEEE Trans. Image Process. 29: 5832-5847 (2020) - [i7]Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi:
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning. CoRR abs/2004.09363 (2020) - [i6]Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh, Shakib Yazdani, Milan Sonka:
COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net. CoRR abs/2007.12303 (2020) - [i5]Shakib Yazdani, Shervin Minaee, Rahele Kafieh, Narges Saeedizadeh, Milan Sonka:
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network. CoRR abs/2009.05096 (2020)
2010 – 2019
- 2019
- [j8]Rahele Kafieh, Hossein Rabbani, Gözde B. Ünal:
Bandlets on Oriented Graphs: Application to Medical Image Enhancement. IEEE Access 7: 32589-32601 (2019) - [j7]Marzieh Mokhtari, Hossein Rabbani, Alireza Mehri Dehnavi, Raheleh Kafieh, Mohammadreza Akhlaghi, Mohsen Pourazizi, Leyuan Fang:
Local comparison of cup to disc ratio in right and left eyes based on fusion of color fundus images and OCT B-scans. Inf. Fusion 51: 30-41 (2019) - [j6]Rahele Kafieh, Zahra Amini, Hossein Rabbani, Bahareh Kaviani Baghbaderani, Bahareh Salafian, Fatemeh Mazaheri, Marzieh Mokhtari:
Automatic Multifaceted Matlab Package for Analysis of Ocular Images (AMPAO). SoftwareX 10: 100339 (2019) - [c9]Sahar Jorjandi, Hossein Rabbani, Zahra Amini, Raheleh Kafieh:
OCT Image Denoising Based on Asymmetric Normal Laplace Mixture Model. EMBC 2019: 2679-2682 - [i4]Elahe Mousavi, Rahele Kafieh, Hossein Rabbani:
Classification of dry age-related macular degeneration and diabetic macular edema from optical coherence tomography images using dictionary learning. CoRR abs/1903.06909 (2019) - [i3]Niloufar Teyfouri, Hossein Rabbani, Raheleh Kafieh, Iraj Jabbari:
An Exact and Fast CBCT Reconstruction via Pseudo-Polar Fourier Transform based Discrete Grangeat's Formula. CoRR abs/1906.06472 (2019) - 2017
- [c8]Marzieh Mokhtari, Hossein Rabbani, Alireza Mehri Dehnavi, Rahele Kafieh:
Exact localization of breakpoints of Retinal pigment epithelium in Optical Coherence Tomography of Optic Nerve Head. EMBC 2017: 1505-1508 - [c7]Sahar Jorjandi, Hossein Rabbani, Rahele Kafieh, Zahra Amini:
Statistical modeling of Optical Coherence Tomography images by asymmetric Normal Laplace mixture model. EMBC 2017: 4399-4402 - 2016
- [j5]Hossein Rabbani, Rahele Kafieh, Mahdi Kazemian Jahromi, Sahar Jorjandi, Alireza Mehri Dehnavi, Fedra Hajizadeh, Ali-Reza Peyman:
Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation. Int. J. Biomed. Imaging 2016: 1420230:1-1420230:11 (2016) - 2015
- [j4]Rahele Kafieh, Hossein Rabbani, Ivan W. Selesnick:
Three Dimensional Data-Driven Multi Scale Atomic Representation of Optical Coherence Tomography. IEEE Trans. Medical Imaging 34(5): 1042-1062 (2015) - [c6]Tahereh Mahmudi, Rahele Kafieh, Hossein Rabbani, Alireza Mehri Dehnavi, Mohammadreza Akhlaghi:
Asymmetry evaluation of fundus images in right and left eyes using radon transform and fractal analysis. ICIP 2015: 163-167 - 2014
- [j3]Hajar Danesh, Rahele Kafieh, Hossein Rabbani, Fedra Hajizadeh:
Segmentation of Choroidal Boundary in Enhanced Depth Imaging OCTs Using a Multiresolution Texture Based Modeling in Graph Cuts. Comput. Math. Methods Medicine 2014: 479268:1-479268:9 (2014) - [c5]Rahele Kafieh, Hossein Rabbani, Saeed Gazor:
Combination of graph theoretic grouping and time-frequency analysis for image segmentation. ICASSP 2014: 5115-5119 - 2013
- [j2]Rahele Kafieh, Hossein Rabbani, Michael D. Abràmoff, Milan Sonka:
Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map. Medical Image Anal. 17(8): 907-928 (2013) - [j1]Rahele Kafieh, Hossein Rabbani, Fedra Hajizadeh, Mohammadreza Ommani:
An Accurate Multimodal 3-D Vessel Segmentation Method Based on Brightness Variations on OCT Layers and Curvelet Domain Fundus Image Analysis. IEEE Trans. Biomed. Eng. 60(10): 2815-2823 (2013) - [c4]Rahele Kafieh, Hajar Danesh, Hossein Rabbani, Michael Abramoff, Milan Sonka:
Vessel segmentation in images of optical coherence tomography using shadow information and thickening of Retinal Nerve Fiber Layer. ICASSP 2013: 1075-1079 - [c3]Rahele Kafieh, Hossein Rabbani, Michael Abramoff, Milan Sonka:
Intra-retinal layer segmentation of optical coherence tomography using diffusion map. ICASSP 2013: 1080-1084 - [i2]Rahele Kafieh, Hossein Rabbani, Fedra Hajizadeh, Michael D. Abràmoff, Milan Sonka:
Thickness Mapping of Eleven Retinal Layers in Normal Eyes Using Spectral Domain Optical Coherence Tomography. CoRR abs/1312.3199 (2013) - 2012
- [c2]Jalil Jalili, Hossein Rabbani, Mohammadreza Akhlaghi, Rahele Kafieh, Alireza Mehri Dehnavi:
Forming projection images from each layer of retina using diffusion may based OCT segmentation. ISSPA 2012: 930-934 - [i1]Rahele Kafieh, Hossein Rabbani, Michael D. Abràmoff, Milan Sonka:
Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography Using Coarse Grained Diffusion Map. CoRR abs/1210.0310 (2012)
2000 – 2009
- 2008
- [c1]Rahele Kafieh, Saeed Sadri, Alireza Mehri Dehnavi, Hamid Raji:
Discrimination of Bony Structures in Cephalograms for Automatic Landmark Detection. CSICC 2008: 609-620
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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