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moeinheidari7829/README.md

Moein Heidari

Hi there 👋, My name is Moein Heidari, a deep learning developer and researcher! Feel free to contact me if you have an open position in your team 😄. Always eager to discuss with people on research and development topics. [email protected]

SUMMARY

Motivated computer engineer with 5+ years of experience in research, development, and design. Publication record in WACV, MICCAI, BMVC and IEEE Transaction. Aiming to apply strong knowledge and skills in deep learning, computer vision, data structures/algorithms design and programming in real-world industrial problems including, but not limited to, image/video processing, medical image processing, data analysis, and high-performance computing.

EXPERIENCE [SELECTED]

• Remote Research Assistant, RWTH Aachen University, Germany (2021-Present)

  • Deep learning method for medical image analysis, research results are published in: (MICCAI, WACV, IEEE Access)

• Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), UAE (2023-2024)

  • Scale-aware Attention Network for Microscopic Image Segmentation, research results are published in: (BMVC 2023)

• Iran University of Science & Technology (IUST) (#3 in Iran), 2017–2023

  • Worked on a fully transformer-based end-to-end communication system with a transformer-GAN as an unknown channel. (Prepared for submission in IEEE Transaction)

Research Collaboration with

• Ehsan Adeli, Stanford University, USA (Chair of CVPR, ICCV, ECCV, Nips, MICCAI, etc.) since 2022. • Dorit Merhof, RWTH, Germany (German research chair on Medical Image Analysis) since 2022. • Julien Cohen-Adad, MILA, Canada (Canadian research chair on MRI.) since 2022. • Hisham Cholakkal, MBZUAI, UAE (Mohamed bin Zayed University of Artificial Intelligence.) since 2023. • Ilker Hacihaliloglu, UBC, Canada (Department of Radiology, Department of Medicine.) since 2023.

SKILLS

• Programming Python, CUDA, Matlab, SQL • Version controller Git Object-Oriented/Functional Programming Parallel Computing, Image Processing, DeepNeural Networks

Google Scholar page:

https://scholar.google.com/citations?user=mir8D5UAAAAJ&hl=en

Pinned Loading

  1. xmindflow/Awesome_Mamba xmindflow/Awesome_Mamba Public

    Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis

    200 14

  2. amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging Public

    Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

    1.6k 149

  3. mustansarfiaz/SA2-Net mustansarfiaz/SA2-Net Public

    SA2-Net: Scale-aware Attention Network for Microscopic Image Segmentation (BMVC'23 -- Oral)

    Python 17 3

  4. YilmazKadir/Segmentation_Losses YilmazKadir/Segmentation_Losses Public

    Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

    Python 41 5

  5. amirhossein-kz/HiFormer amirhossein-kz/HiFormer Public

    HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)

    Jupyter Notebook 121 22

  6. Pooria90/DiffEcho Pooria90/DiffEcho Public

    Codes for Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks

    Python 11 1