Parnian Afshar

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Arash MohammadiAssociate Professor, Concordia UniversityVerified email at encs.concordia.ca
Konstantinos N PlataniotisProfessor, ECE Department, University of TorontoVerified email at ece.utoronto.ca
ANASTASIA OIKONOMOUDepartment of Medical Imaging, Cardiothoracic Division, Sunnybrook Health Sciences CentreVerified email at sunnybrook.ca
Shahin HeidarianConcorida UniversityVerified email at encs.concordia.ca
Nastaran EnshaeiConcordia Institute for Information Systems Engineering (CIISE)Verified email at live.concordia.ca
Keyvan FarahaniProgram Director, NCI; Adj Associate Professor, Johns Hopkins UniversityVerified email at jhmi.edu
Kaveh SamimiAssistant Professor of Radiology Department of Radiology, School of MedicineVerified email at iums.ac.ir
Pascal N. TyrrellDepartment of Medical Imaging - University of TorontoVerified email at tyrrell4innovation.ca
Habib BenaliConcordia UniversityVerified email at concordia.ca
Abbas AhmadiProfessor, Amirkabir University of TechnologyVerified email at aut.ac.ir
S. Farokh AtashzarAssistant Professor, ECE and MAE, New York University (NYU)Verified email at nyu.edu
Svetlana YanushkevichProfessor, University of CalgaryVerified email at ucalgary.ca
Yingxu WangFIEEE, FBCS, FICICC, FAAIA, FWIF, Prof. Software & Brain Sciences, Intelligent Mathematics, UCalgaryVerified email at ucalgary.ca
Helder C. R. OliveiraSouthern Alberta Institute of Technology (SAIT)Verified email at sait.ca
Justin KirbyFrederick National Laboratory for Cancer ResearchVerified email at mail.nih.gov
MH Fazel ZarandiAmirkabir University of Technology, Department of Industrial EngineeringVerified email at aut.ac.ir
Akbar Shafiee, MD, MScResearch Associate, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, IranVerified email at tums.ac.ir
Azadeh MohebiAssistant Professor, Iranian Research Institute for Information Science and Technology (IRANDOC)Verified email at irandoc.ac.ir
Soheil GanjefarProfessor ,Iran University of Science and TechnologyVerified email at iust.ac.ir
Ramin GolshaieAlzahra UniversityVerified email at alzahra.ac.ir

Parnian Afshar

Amazon

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Machine learning Medical imaging Deep learning


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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	754	2020
Brain tumor type classification via capsule networks P Afshar, A Mohammadi, KN Plataniotis 2018 25th IEEE international conference on image processing (ICIP), 3129-3133, 2018	553	2018
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	364	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	319	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	193	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	88	2018
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	77	2020
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	63	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	62	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	54	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	39	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	38	2016
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
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	28	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	27	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	26	2019
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	23	2022
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	20	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	19	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

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