Lehrstuhl

Reza Azad

Bild

M.Sc.

Reza Azad

wissenschaftlicher Mitarbeiter

Raum: 110
Telefon: +49 241 80 27860
E-Mail: lfb@lfb.rwth-aachen.de

Curriculum Vitae

2021 – 2022	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
2019 – 2020	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

Veröffentlichungen

Journal-Veröffentlichungen

2023
2023article
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
BibTeX
2023
2023article
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
BibTeX
2023
2023article
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
BibTeX
2022
2022article
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
BibTeX
2022article
Reza Azad, Mohammad T Al-Antary, Moein Heidari and Dorit Merhof
Transnorm: Transformer provides a strong spatial normalization mechanism for a deep segmentation model
In: IEEE Access 10, S. 108205--108215, IEEE
BibTeX PDF
2022article
Ehsan Khodapanah Aghdam, Reza Azad, Maral Zarvani and Dorit Merhof
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation
In: ISBI 2023
BibTeX PDF

Konferenz-Veröffentlichungen

2024
2024inproceedings
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
BibTeX
2024
2024inproceedings
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, S. 173--184
BibTeX
2024
2024inproceedings
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), S. 1--5
BibTeX
2023
2023inproceedings
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
BibTeX
2023
2023inproceedings
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
BibTeX
2023inproceedings
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), S. 1--5
BibTeX
2022inproceedings
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
BibTeX PDF
2022inproceedings
Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli and Dorit Merhof
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
In: MICCAI Workshop on PRedictive Intelligence in Medicine (PRIME 2022)
BibTeX PDF
2022inproceedings
Reza Azad, Moein Heidari, Julien Cohen-Adad, Ehsan Adeli and Dorit Merhof
Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach
In: MICCAI Workshop on PRedictive Intelligence in Medicine (PRIME 2022)
BibTeX PDF
2022inproceedings
Reza Azad, Moein Heidari, Yuli Wu and Dorit Merhof
Contextual Attention Network: Transformer Meets U-Net
In: MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2022), S. 377--386
BibTeX PDF
2022inproceedings
Reza Azad, Nika Khosravi and Dorit Merhof
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities
In: 5th International Conference on Medical Imaging with Deep Learning (MIDL)
BibTeX PDF
2021inproceedings
Reza Azad, Afshin Bozorgpour, Maryam Asadi-Aghbolaghi, Dorit Merhof and Sergio Escalera
Deep Frequency Re-Calibration U-Net for Medical Image Segmentation
In: ICCV Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD), S. 3274-3283
BibTeX PDF