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I'm a research scientist (Ph.D. in Physics) working on the development of new optical imaging modalities and data analysis tools for clinical and biomedical applications, with a strong background in optics, physics, and mathematics. Over three decades of experience in optical imaging with development of microscopic and macroscopic molecular imaging techniques, with great emphasis on drug imaging, molecular imaging, label-free imaging, cancer and cardiovascular imaging.

Specific fields of interest include imaging and optical imaging, data analysis, and machine learning.

Claudio Vinegoni's Projects

dncnn-tensorflow icon dncnn-tensorflow

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

ml-course-notes icon ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

neighborhoodcoordination icon neighborhoodcoordination

Code accompanying our manuscript "Coordinated cellular neighborhoods orchestrate antitumoral immunity at the colorectal cancer invasive front"

statlearning-notebooks icon statlearning-notebooks

Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).

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