Attention swin u-net: Cross-contextual attention mechanism for skin lesion segmentation EK Aghdam, R Azad, M Zarvani, D Merhof ISBI 2023, 2022 | 34 | 2022 |
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 | 11 | 2021 |
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 | 2 | 2020 |
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 | 1 | 2023 |
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 | 1 | 2023 |
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 | 1 | 2021 |
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 | | |