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Maral Zarvani
Maral Zarvani
Verified email at student.alzahra.ac.ir - Homepage
Title
Cited by
Cited by
Year
Attention swin u-net: Cross-contextual attention mechanism for skin lesion segmentation
EK Aghdam, R Azad, M Zarvani, D Merhof
ISBI 2023, 2022
292022
Residual learning: a new paradigm to improve deep learning-based segmentation of the left ventricle in magnetic resonance imaging cardiac images
M Zarvani, S Saberi, R Azmi, SV Shojaedini
Journal of Medical Signals & Sensors 11 (3), 159-168, 2021
102021
Deep learning classification schemes for the identification of COVID-19 infected patients using large chest X-ray image dataset
S Abbasi, S Saberi, M Zarvani, P Amiri, R Azmi
42nd Annual International Conference of the IEEE Engineering in Medicine and …, 2020
22020
Visual Transformer and Deep CNN Prediction of High-risk COVID-19 Infected Patients using Fusion of CT Images and Clinical Data
MGHA Sara Saberi Moghadam Tehrani, Maral Zarvani, Paria Amiri, Zahra Ghods ...
BMC Medical Informatics and Decision Making 265, 2023
12023
Fashion Compatibility Learning Via Triplet-Swin Transformer
H Darvishi, R Azmi, F Moradian, M Zarvani
2023 28th International Computer Conference, Computer Society of Iran (CSICC …, 2023
12023
WBT-gan: Wavelet based generative adversarial network for texture synthesis
SS Moghadam, R Azmi, M Zarvani
2021 11th International Conference on Computer Engineering and Knowledge …, 2021
12021
Dynamic Knowledge Enhanced Neural Fashion Trend Forecasting with Quantile Loss
F Rooholamini, R Azmi, M Khademhossein, M Zarvani
2023 13th International Conference on Computer and Knowledge Engineering …, 2023
2023
SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies
N Norouzi, R Azmi, SST Moghadam, M Zarvani
arXiv preprint arXiv:2204.03998, 2022
2022
Cbir-Gan: A Triplet Generative Adversarial Network for Content-Based Image Retrieval
N Norouzi, M Zarvani, S Saberi Tehrani Moghadam, R Azmi
Available at SSRN 4057354, 0
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