Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions R Azad, M Asadi-Aghbolaghi, M Fathy, S Escalera ICCV 2019, IEEE International Conference on Computer Vision 2019, 2019 | 446 | 2019 |
Diffusion models in medical imaging: A comprehensive survey A Kazerouni, EK Aghdam, M Heidari, R Azad, M Fayyaz, I Hacihaliloglu, ... Medical Image Analysis, 102846, 2023 | 214 | 2023 |
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation M Heidari, A Kazerouni, M Soltany, R Azad, EK Aghdam, J Cohen-Adad, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022 | 146 | 2022 |
Medical Image Segmentation Review: The success of U-Net R Azad, EK Aghdam, A Rauland, Y Jia, AH Avval, A Bozorgpour, ... arXiv preprint arXiv:2211.14830, 2022 | 118 | 2022 |
Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation R Azad, M Asadi-Aghbolaghi, M Fathy, S Escalera ECCV, European Conference on Computer Vision, 2020 | 112 | 2020 |
On the texture bias for few-shot cnn segmentation R Azad, AR Fayjie, C Kauffmann, I Ben Ayed, M Pedersoli, J Dolz Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 84 | 2021 |
Semi-supervised few-shot learning for medical image segmentation AR Feyjie, R Azad, M Pedersoli, C Kauffman, IB Ayed, J Dolz arXiv preprint arXiv:2003.08462, 2020 | 76 | 2020 |
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation M Asadi-Aghbolaghi, R Azad, M Fathy, S Escalera arXiv:2003.05056, 1-10, 2020 | 71 | 2020 |
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation R Azad, M Heidari, M Shariatnia, EK Aghdam, S Karimijafarbigloo, E Adeli, ... MICCAI 2022, 2022 | 66 | 2022 |
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation R Azad, R Arimond, EK Aghdam, A Kazerouni, D Merhof MICCAI 2023 workshop, 2022 | 58 | 2022 |
Contextual Attention Network: Transformer Meets U-Net A Reza, H Moein, W Yuli, M Dorit MICCAI 2022, 2022 | 57 | 2022 |
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review R Azad, A Kazerouni, M Heidari, EK Aghdam, A Molaei, Y Jia, A Jose, ... Medical Image Analysis, 2023 | 52 | 2023 |
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model R Azad, MT AL-Antary, M Heidari, D Merhof IEEE Access, 2022 | 50 | 2022 |
Dynamic 3D Hand Gesture Recognition by Learning Weighted Depth Motion Maps R Azad, M Asadi-Aghbolaghi, S Kasaei, S Escalera IEEE Transactions on Circuits and Systems for Video Technology, 1-12, 2018 | 49 | 2018 |
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities R Azad, N Khosravi, D Merhof MIDL 2022, 2022 | 46 | 2022 |
Deep Frequency Re-Calibration U-Net for Medical Image Segmentation R Azad, A Bozorgpour, M Asadi-Aghbolaghi, D Merhof, S Escalera Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 42 | 2021 |
Medical Image Segmentation on MRI Images with Missing Modalities: A Review R Azad, N Khosravi, M Dehghanmanshadi, J Cohen-Adad, D Merhof Computational Visual Media, 2022 | 40 | 2022 |
A novel and robust method for automatic license plate recognition system based on pattern recognition R Azad, F Davami, B Azad Advances in Computer Science: an International Journal 2 (3), 64-70, 2013 | 36 | 2013 |
New method for optimization of license plate recognition system with use of edge detection and connected component R Azad, HR Shayegh IEEE International Conference on Computer and Knowledge Engineering, 21-25, 2013 | 35 | 2013 |
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation EK Aghdam, R Azad, M Zarvani, D Merhof ISBI 2023, 2022 | 32 | 2022 |