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Ulas Bagci

Researcher at University of Central Florida

Publications -  303
Citations -  7189

Ulas Bagci is an academic researcher from University of Central Florida. The author has contributed to research in topics: Segmentation & Image segmentation. The author has an hindex of 36, co-authored 252 publications receiving 5071 citations. Previous affiliations of Ulas Bagci include University of Pennsylvania & University of Nottingham.

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A review on segmentation of positron emission tomography images

TL;DR: This review paper presents state-of-the-art PET image segmentation methods, as well as the recent advances inimage segmentation techniques.
Posted Content

Capsules for Object Segmentation

TL;DR: The proposed convolutional-deconvolutional capsule network, called SegCaps, shows strong results for the task of object segmentation with substantial decrease in parameter space and is able to handle large image sizes as opposed to baseline capsules.
Journal ArticleDOI

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.

TL;DR: Qualitative and quantitative results using a publicly available ILD database demonstrate state-of-the-art classification accuracy under the patch-based classification and shows the potential of predicting the ILD type using holistic image.