Caner Ozer
Guest Researcher at University of Twente
Istanbul, Istanbul, Turkey
Summary
🤩
Rockstar🎓
Top SchoolCaner Ozer is a PhD candidate and guest researcher specializing in interpretable deep learning and medical image analysis, with a particular focus on medical image quality assessment. With nine years of academic and research experience at Istanbul Technical University and a current visiting role at the University of Twente, he combines hands-on model development with teaching and mentorship. His background spans electrical and telecommunications engineering, giving him a strong signal-processing foundation that informs his approach to imaging problems. Colleagues describe him as both methodical and curious, willing to bridge theoretical rigor with practical evaluation metrics for clinical impact.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Istanbul Technical UniversityUniversity of California, Los Angeles
Github Skills (46)
keras10
assertion9
segmentation9
mask9
object-detection9
faster-rcnn8
gtk8
mask-rcnn8
tensorflow8
instance-segmentation8
qt8
matplotlib7
deep-learning7
python7
mri7
Programming languages (5)
Github contributions (5)
canerozer/binary_quality_classification
Feb 2020 - Sep 2020
A repository for classifying low and high-quality MRI images.
Contributions:19 commits, 2 PRs, 9 pushes in 7 months
pytorchmri-imagesimage-analysisdeep-learningcomputer-vision
canerozer/Variational-AutoEncoder
Mar 2017 - Jan 2019
Contributions:7 commits, 6 pushes, 1 branch in 1 year 10 months
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