Curriculum Vitae
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2021 – 2022
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Wissenschaftlicher Mitarbeiter, Lehrstuhl für Bildgebung und Bildverarbeitung, RWTH Aachen |
| 2020 – 2021 | Forschungspraktikant, MILA/NeuroPoly (Google brain), deep learning for medical imaging research group, Montreal, Kanada, Thema: Intervertebral Disc Labeling using Deep Learning |
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2019 – 2020
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Forschungspraktikant, École de technologie supérieure (ETS), Montreal, Kanada, Thema: Few-shot learning |
| 2017 – 2020 | Forschungsassistent, Image Processing Laboratory (IPL), Sharif University of Technology, Tehran, Iran |
| 2015 – 2017 | M. Sc. Computer engineering, Artificial Intelligence and Robotics, Sharif University of Technology, Tehran, Iran, Topic: Human Action Recognition, Thesis: 4D Hand Gesture Recognition on RGB-D Videos |
| 2015 – 2017 | B. Sc. Computer software engineering, Shahid Rajaee Teacher Training University, Tehran, Iran, Thesis: Automatic License Plate Recognition on Videos |
| 2009 – 2011 | Associate Degree Computer software engineering, Islamic Azad University, Ardabil, Iran |
Forschungsgebiete
- Automatisierte Analyse radiologischer Bilddaten
- Quantitative Analyse- und Visualisierungsmethoden für Mikrogel-Mikroskopiedaten
Veröffentlichungen
Journal-Veröffentlichungen
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
Konferenz-Veröffentlichungen
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
2023
Abin Jose, Rijo Roy, Dennis Eschweiler, Ina Laube, Reza Azad, Daniel Moreno-Andres and Johannes Stegmaier
End-to-end classification of cell-cycle stages with center-cell focus tracker using recurrent neural networks
In: International Conference on Acoustics, Speech and Signal Processing (ICASSP)
End-to-end classification of cell-cycle stages with center-cell focus tracker using recurrent neural networks
In: International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Moein Heidari, Amirhossein Kazerouni, Milad Soltany, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad and Dorit Merhof
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation
In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation
In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
