Sanaz Karimijafarbigloo

According to our database, Sanaz Karimijafarbigloo authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MedScale-Former: Self-guided multiscale transformer for medical image segmentation.

Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof

Medical Image Anal., 2025

Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation Under Degradation.

Sanaz Karimijafarbigloo, Sina Ghorbani Kolahi, Reza Azad, Ulas Bagci, Dorit Merhof

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Medical Image Segmentation Review: The Success of U-Net.

Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

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

Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, Reza Azad, Ali Diba, Ulas Bagci, Dorit Merhof, Ilker Hacihaliloglu

CoRR, 2024

Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations.

Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof

Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024

Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation.

Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning.

Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation.

Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi, Dorit Merhof

Proceedings of the Medical Imaging with Deep Learning, 2023

MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation.

Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof

Proceedings of the Medical Imaging with Deep Learning, 2023

Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach.

Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Self-supervised Semantic Segmentation: Consistency over Transformation.

Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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