DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
2016 · IEEE Transactions on Medical Imaging · 410 citations
https://doi.org/10.1109/tmi.2016.2621185
O
Ozan Oktay
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Ozan Oktay is an academic researcher from Microsoft (United Kingdom). The author has contributed to research in topics: Medical Image Segmentation Techniques & Radiomics and Machine Learning in Medical Imaging & Advanced Neural Network Applications. The author has an h-index of 33, co-authored 88 publications.
ORCID: 0000-0003-2976-0874Papers by this author
worksWhite matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks
2017 · NeuroImage Clinical · 236 citations
https://doi.org/10.1016/j.nicl.2017.12.022
Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing
2022 · Lecture notes in computer science · 206 citations
https://doi.org/10.1007/978-3-031-20059-5_1
A causal perspective on dataset bias in machine learning for medical imaging
2024 · Nature Machine Intelligence · 48 citations
https://doi.org/10.1038/s42256-024-00797-8
Exploring scalable medical image encoders beyond text supervision
2025 · Nature Machine Intelligence · 36 citations
https://doi.org/10.1038/s42256-024-00965-w
Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank
2020 · Scientific Reports · 34 citations
https://doi.org/10.1038/s41598-020-58212-2
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