Moein Heidari

According to our database, Moein Heidari authored at least 16 papers between 2022 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

Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks.

Pooria Ashrafian, Milad Yazdani, Moein Heidari, Dena Shahriari, Ilker Hacihaliloglu

CoRR, 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

Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook.

Reza Azad, Moein Heidari, Kadir Yilmaz, Michael Hüttemann, Sanaz Karimijafarbigloo, Yuli Wu, Anke Schmeink, 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

MLP-Attention: Improving Transformer Architecture with MLP Attention Weights.

Alireza Morsali, Moein Heidari, Samin Heydarian, Tohid Abedini

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Speaker-Invariant Speech Recognition through Fine-Tuning on Individual-Specific Data with Voice Conversion.

Samin Heydarian, Tohid Abedini, Alireza Morsali, Moein Heidari

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANs.

Moein Heidari, Alireza Morsali, Tohid Abedini, Samin Heydarian

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Chaotic Transformers for Deep Reinforcement Learning in Algorithmic Trading.

Tohid Abedini, Samin Heydarian, Moein Heidari, Alireza Morsali

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

SA2-Net: Scale-aware Attention Network for Microscopic Image Segmentation.

Mustansar Fiaz, Moein Heidari, Rao Muhammad Anwer, Hisham Cholakkal

Proceedings of the 34th British Machine Vision Conference 2023, 2023

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

TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model.

Reza Azad, Mohammad T. Al-Antary, Moein Heidari, Dorit Merhof

IEEE Access, 2022

Contextual Attention Network: Transformer Meets U-Net.

Reza Azad, Moein Heidari, Yuli Wu, Dorit Merhof

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 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

Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach.

Reza Azad, Moein Heidari, Julien Cohen-Adad, Ehsan Adeli, Dorit Merhof

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