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Prof. Mohammadreza Azimi Group. Image Processing for Healthcare

Organisation profile

Organisation profile

Research Mission

The Dr. Mohammadreza Azimi Group at Riga Stradiņš University (RSU) is dedicated to pioneering research at the intersection of image processing, artificial intelligence, and precision oncology. Our mission is to advance biomedical image analysis and computational pathology to improve cancer diagnostics and patient outcomes.

Focus Area

Mainly, we aim to provide our colleagues with the Image Processing Service.  So, It includes but not limited to:

  • Image Processing for Precision Oncology: AI-powered analytical pipelines for tumor microenvironment characterization.
  • Spatial Proteomics & Cancer Biology: High-resolution methodologies for biomarker discovery in colorectal and other cancers.

Key Discoveries

Using advanced image processing techniques, we have Identified molecular subtypes of colorectal cancer and, we provided insights into tumor microenvironment interactions and cellular behavior in colorectal cancer.

Methodology

  • Computational Pathology: Utilizing deep learning and AI algorithms for histopathological and radiological image analysis.
  • Single-Cell Analysis: Studying tumor heterogeneity and microenvironment interactions at a cellular level.
  • Data Science & Biostatistics: Applying statistical modeling and machine learning for biomedical data interpretation.

Analytic Techniques

  • Deep Learning & AI: Enhancing image segmentation, feature extraction, and classification.
  • HyperPlexed Immunofluorescence Imaging

Expanded Scope

Our research extends beyond oncology to virology, microbiology, and advanced medical imaging. 

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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Collaborations and top research areas from the last five years

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