Parnian Afshar
Parnian Afshar
PhD student, Concordia Institute for Information Systems Engineering (CIISE)
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα encs.concordia.ca
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Παρατίθεται από
Παρατίθεται από
Έτος
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
1272018
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
492019
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
342019
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
322018
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, ...
arXiv preprint arXiv:2004.02696, 2020
272020
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
102016
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
62016
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
32019
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
32018
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), 1-11, 2020
12020
CARISI: Convolutional Autoencoder-Based Inter-Slice Interpolation of Brain Tumor Volumetric Images
P Afshar, A Shahroudnejad, A Mohammadi, KN Plataniotis
2018 25th IEEE International Conference on Image Processing (ICIP), 1458-1462, 2018
12018
Conceptual framework for RoboDoc: a new social robot for research assistantship
A Mohebi, R Golshaie, S Ganjefar, A Jalalimanesh, P Afshar, AA Hosseini, ...
International Conference on Social Robotics, 808-818, 2016
12016
DRTOP : 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), 1-15, 2020
2020
MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary Malignancies
P Afshar, A Oikonomou, KN Plataniotis, A Mohammadi
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
2020
2019 Index IEEE Signal Processing Magazine Vol. 36
E Aboutanios, P Afshar, I Al-Nahhal, M Ali, S Alland, M Ambrosanio, ...
IEEE Signal Processing Magazine 36 (6), 2019
2019
138 Life Sciences Computational Deglutition
RW Heath Jr, AH Sayed, N González-Prelcic, GAM Ervin Sejdic, JL Coyle, ...
IEEE SIgnal ProcESSIng MagazInE, 2019
2019
A hierarchical stochastic modelling approach for reconstructing lung tumour geometry from 2D CT images
P Afshar, A Ahmadi, A Mohebi, MH Fazel Zarandi
Journal of Experimental & Theoretical Artificial Intelligence 30 (6), 973-992, 2018
2018
EXPLAINABILITY OF CAPSULE NETWORKS AND THEIR APPLICATION FOR BRAIN TUMOR CLASSIFICATION
A Shahroudnejad, P Afshar, A Mohammadi
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