Search Results for author: Zeynettin Akkus

Found 3 papers, 0 papers with code

Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning

no code implementations24 Nov 2020 Mohamed Y. Elwazir, Zeynettin Akkus, Didem Oguz, Jae K. Oh

Echocardiography (echo) is an indispensable tool in a cardiologist's diagnostic armamentarium.

Interactive segmentation of medical images through fully convolutional neural networks

no code implementations19 Mar 2019 Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J. Erickson

Semi-automated approaches keep users in control of the results by providing means for interaction, but the main challenge is to offer a good trade-off between precision and required interaction.

Computed Tomography (CT) Image Segmentation +3

Predicting 1p19q Chromosomal Deletion of Low-Grade Gliomas from MR Images using Deep Learning

no code implementations21 Nov 2016 Zeynettin Akkus, Issa Ali, Jiri Sedlar, Timothy L. Kline, Jay P. Agrawal, Ian F. Parney, Caterina Giannini, Bradley J. Erickson

Significance: Predicting 1p/19q status noninvasively from MR images would allow selecting effective treatment strategies for LGG patients without the need for surgical biopsy.

Image Registration Self-Learning +2

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