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
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)
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
