Parnian Afshar

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Arash MohammadiAssociate Professor, Concordia UniversityDirección de correo verificada de encs.concordia.ca
Konstantinos N PlataniotisProfessor, ECE Department, University of TorontoDirección de correo verificada de ece.utoronto.ca
ANASTASIA OIKONOMOUDepartment of Medical Imaging, Cardiothoracic Division, Sunnybrook Health Sciences CentreDirección de correo verificada de sunnybrook.ca
Shahin HeidarianConcorida UniversityDirección de correo verificada de encs.concordia.ca
Nastaran EnshaeiConcordia Institute for Information Systems Engineering (CIISE)Dirección de correo verificada de live.concordia.ca
Keyvan FarahaniSenior Data Science, Imaging and AI Program Director, NHLBI, NIHDirección de correo verificada de nih.gov
Kaveh SamimiAssistant Professor of Radiology Department of Radiology, School of MedicineDirección de correo verificada de iums.ac.ir
Pascal N. TyrrellDepartment of Medical Imaging - University of TorontoDirección de correo verificada de tyrrell4innovation.ca
Habib BenaliConcordia UniversityDirección de correo verificada de concordia.ca
Abbas AhmadiProfessor, Amirkabir University of TechnologyDirección de correo verificada de aut.ac.ir
S. Farokh AtashzarAssistant Professor, ECE and MAE, New York University (NYU)Dirección de correo verificada de nyu.edu
Svetlana YanushkevichProfessor, University of CalgaryDirección de correo verificada de ucalgary.ca
Yingxu WangFIEEE, FBCS, FICICC, FAAIA, FWIF, Prof. Software & Brain Sciences, Intelligent Mathematics, UCalgaryDirección de correo verificada de ucalgary.ca
Helder C. R. OliveiraSouthern Alberta Institute of Technology (SAIT)Dirección de correo verificada de sait.ca
Justin KirbyFrederick National Laboratory for Cancer ResearchDirección de correo verificada de mail.nih.gov
MH Fazel ZarandiAmirkabir University of Technology, Department of Industrial EngineeringDirección de correo verificada de aut.ac.ir
Akbar Shafiee, MD, MScResearch Associate, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, IranDirección de correo verificada de tums.ac.ir
Azadeh MohebiAssistant Professor, Iranian Research Institute for Information Science and Technology (IRANDOC)Dirección de correo verificada de irandoc.ac.ir
Soheil GanjefarProfessor ,Iran University of Science and TechnologyDirección de correo verificada de iust.ac.ir
Ramin GolshaieAlzahra UniversityDirección de correo verificada de alzahra.ac.ir

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Parnian Afshar

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Machine learning Medical imaging Deep learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Covid-caps: A capsule network-based framework for identification of covid-19 cases from x-ray images P Afshar, S Heidarian, F Naderkhani, A Oikonomou, KN Plataniotis, ... Pattern Recognition Letters 138, 638-643, 2020	787	2020
Bayescap: A bayesian approach to brain tumor classification using capsule networks P Afshar, A Mohammadi, KN Plataniotis IEEE Signal Processing Letters 27, 2024-2028, 2020	661	2020
Capsule networks for brain tumor classification based on MRI images and coarse tumor boundaries P Afshar, KN Plataniotis, A Mohammadi ICASSP 2019-2019 IEEE international conference on acoustics, speech and …, 2019	399	2019
From handcrafted to deep-learning-based cancer radiomics: challenges and opportunities P Afshar, A Mohammadi, KN Plataniotis, A Oikonomou, H Benali IEEE Signal Processing Magazine 36 (4), 132-160, 2019	337	2019
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning P Afshar, S Heidarian, N Enshaei, F Naderkhani, MJ Rafiee, ... Scientific Data 8 (1), 121, 2021	211	2021
Improved explainability of capsule networks: Relevance path by agreement A Shahroudnejad, P Afshar, KN Plataniotis, A Mohammadi 2018 ieee global conference on signal and information processing (globalsip …, 2018	95	2018
Covid-fact: A fully-automated capsule network-based framework for identification of covid-19 cases from chest ct scans S Heidarian, P Afshar, N Enshaei, F Naderkhani, MJ Rafiee, ... Frontiers in Artificial Intelligence 4, 598932, 2021	69	2021
3D-MCN: a 3D multi-scale capsule network for lung nodule malignancy prediction P Afshar, A Oikonomou, F Naderkhani, PN Tyrrell, KN Plataniotis, ... Scientific reports 10 (1), 7948, 2020	64	2020
MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction P Afshar, F Naderkhani, A Oikonomou, MJ Rafiee, A Mohammadi, ... Pattern Recognition 116, 107942, 2021	56	2021
: deep learning-based radiomics for the time-to-event outcome prediction in lung cancer P Afshar, A Mohammadi, PN Tyrrell, P Cheung, A Sigiuk, KN Plataniotis, ... Scientific Reports 10 (1), 12366, 2020	42	2020
Intelligent breast cancer recognition using particle swarm optimization and support vector machines A Ahmadi, P Afshar Journal of Experimental & Theoretical Artificial Intelligence 28 (6), 1021-1034, 2016	40	2016
BoostCaps: a boosted capsule network for brain tumor classification P Afshar, KN Plataniotis, A Mohammadi 2020 42nd annual international conference of the IEEE engineering in …, 2020	34	2020
COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images N Enshaei, A Oikonomou, MJ Rafiee, P Afshar, S Heidarian, ... Scientific Reports 12 (1), 3212, 2022	33	2022
Ct-caps: Feature extraction-based automated framework for covid-19 disease identification from chest ct scans using capsule networks S Heidarian, P Afshar, A Mohammadi, MJ Rafiee, A Oikonomou, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021	30	2021
Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network P Afshar, MJ Rafiee, F Naderkhani, S Heidarian, N Enshaei, ... Scientific Reports 12 (1), 4827, 2022	28	2022
Capsule networks’ interpretability for brain tumor classification via radiomics analyses P Afshar, KN Plataniotis, A Mohammadi 2019 IEEE International Conference on Image Processing (ICIP), 3816-3820, 2019	28	2019
Lung cancer radiomics: highlights from the ieee video and image processing cup 2018 student competition [sp competitions] A Mohammadi, P Afshar, A Asif, K Farahani, J Kirby, A Oikonomou, ... IEEE signal processing magazine 36 (1), 164-173, 2018	21	2018
Diagnosis/prognosis of covid-19 chest images via machine learning and hypersignal processing: Challenges, opportunities, and applications A Mohammadi, Y Wang, N Enshaei, P Afshar, F Naderkhani, ... IEEE Signal Processing Magazine 38 (5), 37-66, 2021	20	2021
Lung tumor area recognition in CT images based on Gustafson-Kessel clustering P Afshar, A Ahmadi, MHF Zarandi 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2302-2308, 2016	16	2016
Hybrid deep learning model for diagnosis of COVID-19 using CT scans and clinical/demographic data P Afshar, S Heidarian, F Naderkhani, MJ Rafiee, A Oikonomou, ... 2021 IEEE International Conference on Image Processing (ICIP), 180-184, 2021	15	2021

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