| 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 | 470* | 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 | 307 | 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 91, 103000, 2024 | 156 | 2024 |
| Transdeeplab: Convolution-free transformer-based deeplab v3+ for medical image segmentation R Azad, M Heidari, M Shariatnia, EK Aghdam, S Karimijafarbigloo, E Adeli, ... International Workshop on PRedictive Intelligence In MEdicine, 91-102, 2022 | 138 | 2022 |
| Contextual attention network: Transformer meets u-net R Azad, M Heidari, Y Wu, D Merhof MICCAI 2022, 2022 | 100 | 2022 |
| Transnorm: Transformer provides a strong spatial normalization mechanism for a deep segmentation model R Azad, MT Al-Antary, M Heidari, D Merhof IEEE access 10, 108205-108215, 2022 | 86 | 2022 |
| Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook R Azad, M Heidari, K Yilmaz, M Hüttemann, S Karimijafarbigloo, Y Wu, ... arXiv preprint arXiv:2312.05391, 2023 | 25 | 2023 |
| Diffusion models for medical image analysis: A comprehensive survey. arXiv 2022 A Kazerouni, EK Aghdam, M Heidari, R Azad, M Fayyaz, I Hacihaliloglu, ... arXiv preprint arXiv:2211.07804, 0 | 12* | |
| Computation-efficient era: A comprehensive survey of state space models in medical image analysis M Heidari, SG Kolahi, S Karimijafarbigloo, B Azad, A Bozorgpour, ... arXiv preprint arXiv:2406.03430, 2024 | 9 | 2024 |
| Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach R Azad, M Heidari, J Cohen-Adad, E Adeli, D Merhof MICCAI 2022, 2022 | 7 | 2022 |
| MSANet: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation SG Kolahi, SK Chaharsooghi, T Khatibi, A Bozorgpour, R Azad, M Heidari, ... arXiv preprint arXiv:2407.21640, 2024 | 4 | 2024 |
| SA2-Net: Scale-aware Attention Network for Microscopic Image Segmentation M Fiaz, M Heidari, RM Anwer, H Cholakkal BMVC 2023, 2023 | 4 | 2023 |
| 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 | 3 | 2024 |
| Vision-language synthetic data enhances echocardiography downstream tasks P Ashrafian, M Yazdani, M Heidari, D Shahriari, I Hacihaliloglu arXiv preprint arXiv:2403.19880, 2024 | 3 | 2024 |
| Single-Layer Learnable Activation for Implicit Neural Representation (SLA-INR) M Heidari, R Rezaeian, R Azad, D Merhof, H Soltanian-Zadeh, ... arXiv preprint arXiv:2409.10836, 2024 | 2 | 2024 |
| DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANs M Heidari, A Morsali, T Abedini, S Heydarian ICLR 2023 TinyPapers, 2023 | 2 | 2023 |
| MLP-Attention: Improving Transformer Architecture with MLP Attention Weights A Morsali, M Heidari, S Heydarian, T Abedini ICLR 2023 TinyPapers, 2023 | 2 | 2023 |
| Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks A Mehrabian, PM Adi, M Heidari, I Hacihaliloglu arXiv preprint arXiv:2409.09323, 2024 | 1 | 2024 |
| HiFormer: Hierarchical Multi-scale Representations Using transformers for Medical Image Segmentation Supplementary Material M Heidari, A Kazerouni, M Soltany, R Azad, EK Aghdam, J Cohen-Adad, ... | 1 | 2023 |
| A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation M Heidari, EK Aghdam, A Manzella, D Hsu, R Scalabrino, W Chen, ... SPIE Medical Imaging 2025, 2025 | | 2025 |
Dorit MerhofProfessor, Faculty of Informatics and Computer Science, University of Regensburgכתובת אימייל מאומתת בדומיין informatik.uni-regensburg.de