Moein Heidari

Orcid: 0000-0003-3676-0127

According to our database1, Moein Heidari authored at least 20 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Advances in medical image analysis with vision Transformers: A comprehensive review.
Medical Image Anal., January, 2024

Single-Layer Learnable Activation for Implicit Neural Representation (SL<sup>2</sup>A-INR).
CoRR, 2024

Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks.
CoRR, 2024

MSA2Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation.
CoRR, 2024

Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis.
CoRR, 2024

Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights.
CoRR, 2024

Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks.
CoRR, 2024

2023
Diffusion models in medical imaging: A comprehensive survey.
Medical Image Anal., August, 2023

Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook.
CoRR, 2023

HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

MLP-Attention: Improving Transformer Architecture with MLP Attention Weights.
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.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANs.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Chaotic Transformers for Deep Reinforcement Learning in Algorithmic Trading.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

SA2-Net: Scale-aware Attention Network for Microscopic Image Segmentation.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey.
CoRR, 2022

TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model.
IEEE Access, 2022

Contextual Attention Network: Transformer Meets U-Net.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022


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