Sanaz Karimijafarbigloo

Orcid: 0000-0002-6632-6121

According to our database1, Sanaz Karimijafarbigloo authored at least 11 papers between 2022 and 2024.

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

Timeline

2022
2023
2024
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3
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5
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Legend:

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Links

On csauthors.net:

Bibliography

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

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

Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations.
Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024

Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 2023

MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 2023

Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Self-supervised Semantic Segmentation: Consistency over Transformation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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


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