Konstantinos Kamnitsas

Associate Professor Of Engineering Science (Biomedical Imaging)

London, England, United Kingdom
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Summary

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Konstantinos Kamnitsas is an Associate Professor of Engineering Science at the University of Oxford specializing in machine learning for medical imaging, with a decade of experience bridging cutting-edge research and practical clinical applications. He has a strong track record in deep learning for image segmentation and semi-supervised methods, with work published at top venues (ICML, MICCAI, IPMI) stemming from internships at Microsoft’s Inner Eye team. Konstantinos has held research and teaching roles across Imperial College London and the University of Birmingham while also contributing industry experience at Kheiron Medical and Ocado Technology, demonstrating an ability to move algorithms into production. His background combines rigorous academic training (PhD, Imperial College) with hands-on systems engineering, from automated warehouse control software to clinical AI tools. Notably, he developed novel semi-supervised and domain-adaptation approaches that improved performance on unlabelled and cross-domain medical data—a recurring theme in his research. Based in London, he balances collaborative academic leadership with applied ML innovation aimed at improving medical imaging outcomes.
code10 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Electrical and Computer Engineering, 7.98 / 10.00 - Top 10% of Class, Master's degree, Electrical and Computer Engineering, 7.98 / 10.00 - Top 10% of Class at Aristoteleion Panepistimion Thessalonikis
bookDoctor of Philosophy (PhD), Biomedical Image Analysis, Doctor of Philosophy (PhD), Biomedical Image Analysis at Imperial College London
languagesGreek, English, German, French
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Github Skills (31)

pytorch10
convolutional-neural-networks10
machine-learning10
scale10
deep-learning10
segmentation10
neural-network10
medical-imaging10
computer-vision10
medical10
dltk8
medical-image-analysis7
biomedical6
crf6
neuroimaging6

Programming languages (2)

C++Python

Github contributions (5)

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Contributions:5 commits, 3 pushes, 1 branch in 1 year 5 months
deepmedic/deepmedic

Apr 2016 - May 2021

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Contributions:7 releases, 459 commits, 12 PRs in 5 years 1 month
pytorchdeep-learningconvolutional-neural-networkcomputer-visionconvolutional
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