M.Sc.
Sanaz Karimijafarbigloo
+49 241 80 27860
Sanaz.Karimijafarbigloo@informatik.uni-regensburg.de
Sanaz Karimijafarbigloo
Guest Researcher
+49 241 80 27860
Sanaz.Karimijafarbigloo@informatik.uni-regensburg.de
Curriculum Vitae
| Mar 2023 – present | Research Scientist, Institute of Imaging and Computer Vision, University of Regensburg |
| Aug 2022 ‑ Mar 2023 | Research Scientist, Institute of Imaging and Computer Vision, RWTH Aachen |
| Sep 2016 ‑ Mar 2019 | M. Sc. Electrical Engineering, Shiraz University of Technology |
Research Field
Addressing data scarcity in medical domain using deep learning
Publications
Journal Publications
2023
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci and Dorit Merhof
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
Sanaz Karimijafarbigloo, Reza Azad and Dorit Merhof
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
Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci and Dorit Merhof
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
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
2022
Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli and Dorit Merhof
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
Conference Publications
2024
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni and Dorit Merhof
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
Sanaz Karimijafarbigloo, Reza Azad and Dorit Merhof
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
Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci and Dorit Merhof
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
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni and Dorit Merhof
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
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi and Dorit Merhof
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
