XMindFlow

We are a team of AI researchers

About Us

We are a team of passionate AI researchers and engineers, pushing the boundaries of what's possible with artificial intelligence. We specialize in computer vision, deep learning, machine learning, and etc, and we're working on some of the most exciting and challenging problems in AI today.


AI/ML

Artificial intelligence and machine learning are new trends and have been trying to change the world's future since their inception.

Mission

our mission is to explore the limitless possibilities of AI and apply them to address real-world challenges. Our focus is on the practical, positive impact of AI in various domains.

Expertise

We specialize in computer vision, deep learning, machine learning, etc, leveraging the latest in AI research to develop innovative solutions. We work to bridge the gap between theory and practical implementation, striving to create impactful solutions that enhance lives and industries.

Vision

Our vision is to pioneer the development of accessible, user-friendly products at the intersection of research and industry, leveraging cutting-edge technologies in AI.

News


Collabrators

We actively partner with fellow researchers, businesses, and institutions to share knowledge and develop innovative AI solutions, amplifying our impact and driving progress.

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Selected Publications

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    INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings

Amirhossein Kazerouni, Reza Azad, Alireza Hosseini, Dorit Merhof, Ulas Bagci

Conference: WACV 2024

Project Page | Paper | GitHub
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    Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation

Reza Azad, Leon Niggemeier, Michael Huttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof

Conference: WACV 2024

Paper | GitHub
Image Description
    Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection

Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof

Conference: MICCAI 2023

Paper | GitHub
Image Description
    MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation

Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof

Conference: MIDL 2023 | Oral presentation

Paper | GitHub
Image Description
    Diffusion models in medical imaging: A comprehensive survey

Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof

Journal: Medical Image Analysis (MedIA)

Paper | GitHub
Image Description
    Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review

Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, Dorit Merhof

Journal: Medical Image Analysis (MedIA)

Paper | GitHub
Image Description
    HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation

Moein Heidari*, Amirhossein Kazerouni*, Milad Soltany*, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof

Conference: WACV 2023

Paper | GitHub


Team

Reza Azad

Co-founder and CEO

Afshin Bozorgpour

Co-founder and CTO

Amirhossein Kazerouni

Co-founder and Researcher

Frequently Asked Questions

How can I collaborate with your AI research team?

If you're interested in partnering with us, please reach out through our contact form or email to discuss your project or ideas. We're always open to exploring opportunities for collaboration and joint research efforts.

Do you offer AI consulting services or training programs?

Yes, we offer AI consulting services and can tailor our expertise to your organization's specific needs. Contact us!

How can I stay updated on your AI research and news?

To stay updated, you can follow us on social media, or regularly visit our website's news and blog sections. We share research findings, publications, and announcements through these channels. Your interest in our work is greatly appreciated!

Contact Us

Social Media


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