Ehsan Khodapanah Aghdam

According to our database, Ehsan Khodapanah Aghdam authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Advances in medical image analysis with vision Transformers: A comprehensive review.

Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, Dorit Merhof

Medical Image Anal., January, 2024

Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights.

Moein Heidari, Reza Azad, Sina Ghorbani Kolahi, René Arimond, Leon Niggemeier, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Ilker Hacihaliloglu, Dorit Merhof

CoRR, 2024

Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation.

Reza Azad, Leon Niggemeier, Michael Hüttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Diffusion models in medical imaging: A comprehensive survey.

Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof

Medical Image Anal., August, 2023

Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach.

Reza Azad, Yiwei Jia, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof

CoRR, 2023

HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation.

Moein Heidari, Amirhossein Kazerouni, Milad Soltany Kadarvish, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers.

Reza Azad, Amirhossein Kazerouni, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Abin Jose, Dorit Merhof

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection.

Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

DAE-Former: Dual Attention-Guided Efficient Transformer for Medical Image Segmentation.

Reza Azad, René Arimond, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Dorit Merhof

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation.

Ehsan Khodapanah Aghdam, Reza Azad, Maral Zarvani, Dorit Merhof

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Medical Image Segmentation Review: The success of U-Net.

Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof

CoRR, 2022

Diffusion Models for Medical Image Analysis: A Comprehensive Survey.

Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof

CoRR, 2022

TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation.

Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, Dorit Merhof

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

2020

DiSPLaY Multimodal MedSLset (Medical Sign Language Set).

Ehsan Khodapanah Aghdam, Mohammadreza Riahi, Seyed Hamid Safavi, Mohammad Eslami, Solale Tabarestani, Seyed Ali Ghorashi, Farah Torkamani-Azar

Dataset, July, 2020