Hello friends. I’m Dimitris Karkalousos, an AI Medical Imaging Researcher.

My work centers on the intersection of AI and medical imaging. I develop open-source frameworks that prioritize reproducibility and consistency, ensuring that AI models in medical imaging can be scientifically grounded tools ready for clinical transition.

Core Open-Source Projects
ATOMMIC: A specialized toolbox for Multitask Medical Imaging Consistency. It enables simultaneous reconstruction, segmentation, and quantitative analysis, leveraging the synergies between these tasks to improve overall model robustness.

MRIDC: A comprehensive framework for Data Consistency in MRI, tailored to accelerate scanning times without sacrificing diagnostic quality.

DIRECT: A high-performance deep learning framework for MRI reconstruction, developed in collaboration with NKI-AI.

Why Your Support Matters
Maintaining high-dimensional medical imaging libraries requires rigorous validation and constant adaptation to the fast-moving AI landscape. Your sponsorship directly enables:

Framework Longevity: Maintaining compatibility with the latest PyTorch releases, CUDA kernels, and hardware accelerations.

Clinical Scalability: Transitioning research-grade code into production-ready tools that can handle diverse clinical datasets.

Algorithmic Innovation: Providing the "Research Freedom" to explore novel, data-consistent architectures that prioritize patient safety and image fidelity over simple pixel-wise accuracy.

By sponsoring this work, you are supporting the development of open-source medical AI tools.