M.Sc.
Sanaz Karimijafarbigloo
+49 241 80 27860
Sanaz.Karimijafarbigloo@informatik.uni-regensburg.de
Sanaz Karimijafarbigloo
Gastwissenschaftlerin
+49 241 80 27860
Sanaz.Karimijafarbigloo@informatik.uni-regensburg.de
Curriculum Vitae
| März 2023 – jetzt | Research Scientist, Institute of Imaging and Computer Vision, University of Regensburg |
| Aug 2022 ‑ März 2023 | Research Scientist, Institute of Imaging and Computer Vision, RWTH Aachen |
| Sep 2016 ‑ März 2019 | M. Sc. Electrical Engineering, Shiraz University of Technology |
Forschungsgebiet
Umgang mit Datenknappheit im medizinischen Bereich durch Deep Learning
Veröffentlichungen
Journal-Veröffentlichungen
2023
Karimijafarbigloo, Sanaz, Azad, Reza, Kazerouni, Amirhossein, Velichko, Yury, Bagci, Ulas and Merhof, Dorit
Self-supervised Semantic Segmentation: Consistency over Transformation
In: arXiv preprint arXiv:2309.00143
Self-supervised Semantic Segmentation: Consistency over Transformation
In: arXiv preprint arXiv:2309.00143
2023
Karimijafarbigloo, Sanaz, Azad, Reza and Merhof, Dorit
Self-supervised few-shot learning for semantic segmentation: An annotation-free approach
In: arXiv preprint arXiv:2307.14446
Self-supervised few-shot learning for semantic segmentation: An annotation-free approach
In: arXiv preprint arXiv:2307.14446
2023
Kazerouni, Amirhossein, Karimijafarbigloo, Sanaz, Azad, Reza, Velichko, Yury, Bagci, Ulas and Merhof, Dorit
FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation
In: arXiv preprint arXiv:2311.13069
FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation
In: arXiv preprint arXiv:2311.13069
2023
Azad, Reza, Heidary, Moein, Ylmaz, Kadir, Hüttemann, Michael, Karimijafarbigloo, Sanaz, Wu, Yuli, Schmeink, Anke and Merhof, Dorit
Loss functions in the era of semantic segmentation: A survey and outlook
In: arXiv preprint arXiv:2312.05391
Loss functions in the era of semantic segmentation: A survey and outlook
In: arXiv preprint arXiv:2312.05391
2022
Azad, Reza, Aghdam, Ehsan Khodapanah, Rauland, Amelie, Jia, Yiwei, Avval, Atlas Haddadi, Bozorgpour, Afshin, Karimijafarbigloo, Sanaz, Cohen, Joseph Paul, Adeli, Ehsan, Merhof, Dorit
Medical image segmentation review: The success of u-net
In: arXiv preprint arXiv:2211.14830
Medical image segmentation review: The success of u-net
In: arXiv preprint arXiv:2211.14830
Konferenz-Veröffentlichungen
2024
Karimijafarbigloo, Sanaz, Azad, Reza, Kazerouni, Amirhossein and Merhof, Dorit
Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning
In: Medical Imaging with Deep Learning
Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning
In: Medical Imaging with Deep Learning
2024
Karimijafarbigloo, Sanaz, Azad, Reza and Merhof, Dorit
Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations
In: International Workshop on PRedictive Intelligence In MEdicine
Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations
In: International Workshop on PRedictive Intelligence In MEdicine
2024
Karimijafarbigloo, Sanaz, Azad, Reza, Velichko, Yury, Bagci, Ulas and Merhof, Dorit
Leveraging unlabeled data for 3d medical image segmentation through self-supervised contrastive learning
In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI)
Leveraging unlabeled data for 3d medical image segmentation through self-supervised contrastive learning
In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI)
2024
Reza Azad, Moein Heidary, Kadir Ylmaz, Michael Hüttemann, Sanaz Karimijafarbigloo, Yuli Wu, Anke Schmeink and Dorit Merhof
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
In: arXiv preprint arXiv:2312.05391
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
In: arXiv preprint arXiv:2312.05391
2023
Karimijafarbigloo, Sanaz, Azad, Reza, Kazerouni, Amirhossein and Merhof, Dorit
MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation
In: Medical Imaging with Deep Learning
MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation
In: Medical Imaging with Deep Learning
2023
Karimijafarbigloo, Sanaz, Azad, Reza, Kazerouni, Amirhossein, Ebadollahi, Saeed and Merhof, Dorit
MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation
In: Medical Imaging with Deep Learning
MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation
In: Medical Imaging with Deep Learning
