Sign In

Jan Kukačka

Computer Vision Engineer at ZEISS

Jan Kukačka is a dedicated individual currently completing a doctoral degree at TU Munich / Helmholtz Zentrum Munich, delving into the realms of biomedical imaging and machine learning. His work involves the intersection of deep-learning powered computer vision algorithms with tangible clinical requirements. Jan's educational journey includes pursuing a Dr. rer. nat in Biological Imaging and Machine Learning from the Technical University of Munich, a Master's Degree in Informatics from the same institution, a Master's Degree in Knowledge Engineering from the Czech Technical University in Prague, and a Bachelor's Degree in Theoretical Computer Science from the Czech Technical University in Prague. Jan has garnered professional experience through various roles at esteemed organizations like ZEISS Industrial Metrology, Helmholtz Munich, Kusco Tech, Allianz Global Assistance CZ, Workswell s.r.o., Nouvelle Communauté, Freelance, and Kusco.

Highlights

Aug 16 · linkedin

Self-supervised learning has gained lots of attention recently. But what can a neural network really learn from unlabeled images of the retina? And is it useful for image segmentation? Good thing our new paper is out, with all the answers: https://lnkd.in/eXNvBYXK

Kudos to co-authors Anja Zenz Marcel Kollovieh Dominik Jüstel Vasilis Ntziachristos #munichimaging

J
Add to my network

Location

Aalen, Baden-Württemberg, Germany