Moein Heidari
Orcid: 0000-0003-3676-0127
According to our database1,
Moein Heidari
authored at least 20 papers
between 2022 and 2024.
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Bibliography
2024
Medical Image Anal., January, 2024
Single-Layer Learnable Activation for Implicit Neural Representation (SL<sup>2</sup>A-INR).
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
CoRR, 2024
CoRR, 2024
2023
Medical Image Anal., August, 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
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
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model.
IEEE Access, 2022
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
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022