M.Sc.

Reza Azad

wissenschaftlicher Mitarbeiter

 110
 +49 241 80 27860
 +49 241 80 22200
 lfb@lfb.rwth-aachen.de


Curriculum Vitae

 

2021 – 2022
 Wissenschaftlicher Mitarbeiter, Lehrstuhl für 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

2022

Azad, Reza, Al-Antary, Mohammad T, Heidari, Moein and Merhof, Dorit
Transnorm: Transformer provides a strong spatial normalization mechanism for a deep segmentation model
In: IEEE Access 10

2022

Aghdam, Ehsan Khodapanah, Azad, Reza, Zarvani, Maral and Merhof, Dorit
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation
In: ISBI 2023

 

Konferenz-Veröffentlichungen

2024

Reza Azad, Moein Heidary, Kadir Yilmaz, 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

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)

2022

Heidari, Moein, Kazerouni, Amirhossein, Soltany, Milad, Azad, Reza, Aghdam, Ehsan Khodapanah, Cohen-Adad, Julien and Merhof, Dorit
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation
In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

2022

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)

2022

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)

2022

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)

2022

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)

2021

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)