5 citations · 8 across the 7 of their papers we have counts for
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cs.CV2021★ 1 cited
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate
Doruk Oner, Leonardo Citraro, Mateusz Koziński +1
Deep learning-based approaches to delineating 3D structure depend on accurate annotations to train the networks. Yet, in practice, people, no matter how conscientious, have trouble…
cs.CV2021★ 1 cited
Persistent Homology with Improved Locality Information for more Effective Delineation
Doruk Oner, Adélie Garin, Mateusz Koziński +2
Persistent Homology (PH) has been successfully used to train networks to detect curvilinear structures and to improve the topological quality of their results. However, existing me…