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siavash-trm/README.md

🧑‍⚕️ Siavash Taremi – Medical Doctor & AI Researcher :

A medical doctor and AI researcher that investigate the state of the art deep learning methods to address challenges in current AI and radiology methods . My work bridges clinical medicine with AI , focusing on:

🧠 Medical image segmentation

📊 Radiogenomics & survival prediction

🤖 Agentic systems for radiology – integrating segmentation, reporting, and treatment recommendation

🔗 Featured Project

Radiology-Agentic-System

A multimodal deep learning framework that includes:

  • 3D Glioma Segmentation using MRI (multi-sequence input)
  • Automated Radiology Report Generation
  • Radiogenomic Analysis & Treatment Planning

Project code ↗️

🛠️ Tech Stack

Area Tools / Libraries
Languages Python
Deep Learning PyTorch, TensorFlow, Keras
Medical Imaging NiBabel, SimpleITK
Data Science & Utilities Pandas, NumPy, Scikit-learn
Visualization & Annotation Matplotlib, ITK-SNAP

🔗 Connect with me :

🌐 Google Scholar

🧾 ORCID

✉️ Email : siavash.tami@gmail.com

Popular repositories Loading

  1. Radiology-agentic-system Radiology-agentic-system Public

    A multimodal deep learning framework for glioma 3D segmentation, radiology report generation ,radiogenomic analysis and treatment plan

    Jupyter Notebook 1

  2. custom-UNET custom-UNET Public

    Jupyter Notebook

  3. visualnet1 visualnet1 Public

    a model designed based on human visual pathway

    Jupyter Notebook

  4. 3D-visualNet 3D-visualNet Public

    Combining 3D brain MRI and Tabular Data for 3D Tumor Segmentation , Tumor type , genomic analysis and prognosis prediction

    Jupyter Notebook

  5. siavash-trm siavash-trm Public

  6. Attention-Gated-Networks Attention-Gated-Networks Public

    Forked from ozan-oktay/Attention-Gated-Networks

    Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

    Python