Afshin Bozorgpour

Orcid: 0000-0003-1857-1058

According to our database1, Afshin Bozorgpour authored at least 14 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Medical Image Segmentation Review: The Success of U-Net.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

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

Physics-Inspired Generative Models in Medical Imaging: A Review.
CoRR, 2024

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

LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation.
CoRR, 2024

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

HCA-NET: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images.
Medical Image Anal., 2023

Continual Learning in Medical Imaging Analysis: A Comprehensive Review of Recent Advancements and Future Prospects.
CoRR, 2023

Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision.
CoRR, 2023

Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

DermoSegDiff: A Boundary-Aware Segmentation Diffusion Model for Skin Lesion Delineation.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

2021
Deep Frequency Re-calibration U-Net for Medical Image Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021


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