| 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 | 189 | 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, 2023 | 127 | 2023 |
| 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 | 110 | 2022 |
| TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation R Azad, M Heidari, M Shariatnia, EK Aghdam, S Karimijafarbigloo, E Adeli, ... Predictive Intelligence in Medicine: 5th International Workshop, PRIME 2022 …, 2022 | 62 | 2022 |
| Dae-former: Dual attention-guided efficient transformer for medical image segmentation R Azad, R Arimond, EK Aghdam, A Kazerouni, D Merhof International Workshop on PRedictive Intelligence In MEdicine, 83-95, 2023 | 54 | 2023 |
| 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, 103000, 2023 | 43 | 2023 |
| Attention swin u-net: Cross-contextual attention mechanism for skin lesion segmentation EK Aghdam, R Azad, M Zarvani, D Merhof 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 29 | 2023 |
| Enhancing medical image segmentation with TransCeption: a multi-scale feature fusion approach R Azad, Y Jia, EK Aghdam, J Cohen-Adad, D Merhof arXiv preprint arXiv:2301.10847, 2023 | 21 | 2023 |
| Beyond self-attention: Deformable large kernel attention for medical image segmentation R Azad, L Niggemeier, M Hüttemann, A Kazerouni, EK Aghdam, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 11 | 2024 |
| Laplacian-former: Overcoming the limitations of vision transformers in local texture detection R Azad, A Kazerouni, B Azad, E Khodapanah Aghdam, Y Velichko, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers R Azad, A Kazerouni, A Sulaiman, A Bozorgpour, EK Aghdam, A Jose, ... International Workshop on Machine Learning in Medical Imaging, 207-216, 2023 | 2 | 2023 |
| Image dataset for persian road surface markings SH Safavi, M Eslami, AS Najafabadi, A Hajihoseini, M Riahi, M Rekabi, ... 2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP …, 2017 | 1 | 2017 |
| Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights M Heidari, R Azad, SG Kolahi, R Arimond, L Niggemeier, A Sulaiman, ... arXiv preprint arXiv:2403.19882, 2024 | | 2024 |
| DiSPLaY Multimodal MedSLset (Medical Sign Language Set) E Khodapanah Aghdam, M Riahi, SH Safavi, M Eslami, S Tabarestani, ... https://ieee-dataport.org/open-access/display-multimodal-medslset-medical …, 2020 | | 2020 |
| Advances in Medical Image Analysis with Vision Transformers: A Comprehensive R Azad, A Kazerouni, M Heidari, EK Aghdam, A Molaei, Y Jia, A Jose, ... | | |
Dorit MerhofProfessor, Faculty of Informatics and Computer Science, University of RegensburgVerified email at informatik.uni-regensburg.de
