Hey there, Python and AI enthusiasts!
Who am I?
Hey there! I’m Mohammad Rezapourian, a researcher and AI developer passionate about medical imaging, deep learning, and generative AI. My academic journey began with a B.Sc. in Medical Engineering (Bio-electrics) at the University of Isfahan, where I started working with AI for medical applications early in my studies. Currently, I’m pursuing my M.Sc. in Medical Systems Engineering at Otto-von-Guericke University Magdeburg, specializing in AI-driven solutions for healthcare.
Over the past few years, I’ve worked extensively in AI-driven medical imaging, computer vision, and augmented reality (AR) for surgical guidance. I have contributed to various research projects that blend deep learning, robotics, and real-time tracking to improve needle segmentation, 3D localization, and AI-assisted diagnostics.
Why I am here?
At Universitätsklinik für Neuroradiologie, Klinikum Magdeburg, my role is to: ✅ Develop and optimize the website for AI-related courses and research content. ✅ Create Jupyter Notebooks and structured projects to enhance AI education. ✅ Assist students and researchers in learning the latest AI advancements, particularly in medical AI and prompt engineering.
Alongside my work at the Klinikum, I’m also a Research Assistant at the STIMULATE Research Campus, where I contribute to AI-driven medical imaging, computer vision, and augmented reality (AR) for surgical navigation. My research integrates deep learning, robotics, and real-time tracking to improve needle segmentation, 3D localization, and AI-assisted diagnostics.
Why Did I Decide to Work Here?
Joining Universitätsklinik für Neuroradiologie, Klinikum Magdeburg was a natural step in my journey, as it allows me to combine my expertise in AI, web development, and education to contribute to meaningful projects in medical AI. My role here involves:
✅ Developing and optimizing the AI course website, ensuring accessibility and usability for researchers and students.
✅ Creating structured Jupyter Notebooks and interactive learning materials to make AI concepts easier to grasp.
✅ Collaborating on AI-driven projects that enhance research and clinical applications.
✅ Helping researchers and students learn the latest advancements in AI, particularly in Prompt Engineering and medical imaging applications.
I’m excited to continue learning, sharing, and collaborating with like-minded researchers and professionals. Let’s shape the future of AI in medicine together!
What Have I Done So Far?
🔹 Research Assistant (AI Developer) at STIMULATE Research Campus Developed deep learning models for needle detection and segmentation in CT images. Integrated AI with camera tracking systems to enhance real-time surgical navigation. Worked on 3D tracking algorithms to improve precision in needle base and tip localization.
🔹 Intern at SURAG Medical GmbH Worked on robotic control strategies for surgical applications using Franka Emika robots. Designed and optimized motion planning algorithms for needle insertion in robotic surgery.
🔹 Research Assistant at AIDIA Lab, University of Isfahan Developed deep learning models for medical image segmentation and detection, focusing on OCT images. Researched transformers and GANs for medical image enhancement. Implemented self-supervised learning and attention-based architectures to improve AI model performance.
Why Am I Interested in Generative AI?
Generative AI is revolutionizing medical imaging by enabling better image reconstruction, segmentation, and even synthetic data generation for training AI models. My research has already explored GANs, transformers, and self-supervised learning in OCT segmentation, laryngeal lesion classification, and CT image denoising.
I believe that Generative AI holds immense potential for personalized medicine, where models can simulate and predict treatment outcomes, aid in diagnosis, and even assist in surgery planning. By harnessing LLMs, diffusion models, and transformer-based architectures, we can push the boundaries of AI-assisted healthcare.
Why Should You Learn Prompt Engineering?
With LLMs becoming integral to fields like healthcare, research, and content creation, knowing how to communicate effectively with these systems is a game-changer.
🎯 Beginners can quickly learn how to optimize AI interactions.
🎯 Developers can build smarter applications powered by LLMs.
🎯 AI enthusiasts can deepen their understanding of LLM capabilities.
We’re working on exciting new courses in Prompt Engineering, designed to help you harness the full power of AI-driven interactions.
Have Questions or Ideas?
I’m excited to collaborate, learn, and share knowledge with fellow researchers and AI enthusiasts. If you have ideas, questions, or want to discuss AI in medicine, feel free to reach out!
📢 Follow us here or on https://www.linkedin.com/in/rezapourian/ to stay updated on our work.