Zeynettin AKKUS
Zeynettin AKKUS
Assistant Professor of Biomedical Engineering, Mayo Clinic
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Citata da
Machine learning for medical imaging
BJ Erickson, P Korfiatis, Z Akkus, TL Kline
radiographics 37 (2), 505-515, 2017
Deep learning for brain MRI segmentation: state of the art and future directions
Z Akkus, A Galimzianova, A Hoogi, DL Rubin, BJ Erickson
Journal of digital imaging 30, 449-459, 2017
A survey of deep-learning applications in ultrasound: Artificial intelligence–powered ultrasound for improving clinical workflow
Z Akkus, J Cai, A Boonrod, A Zeinoddini, AD Weston, KA Philbrick, ...
Journal of the American College of Radiology 16 (9), 1318-1328, 2019
Predicting deletion of chromosomal arms 1p/19q in low-grade gliomas from MR images using machine intelligence
Z Akkus, I Ali, J Sedlář, JP Agrawal, IF Parney, C Giannini, BJ Erickson
Journal of digital imaging 30, 469-476, 2017
Toolkits and libraries for deep learning
BJ Erickson, P Korfiatis, Z Akkus, T Kline, K Philbrick
Journal of digital imaging 30, 400-405, 2017
Deep learning in radiology: does one size fit all?
BJ Erickson, P Korfiatis, TL Kline, Z Akkus, K Philbrick, AD Weston
Journal of the American College of Radiology 15 (3), 521-526, 2018
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning
KA Philbrick, AD Weston, Z Akkus, TL Kline, P Korfiatis, T Sakinis, ...
Journal of digital imaging 32, 571-581, 2019
Interactive segmentation of medical images through fully convolutional neural networks
T Sakinis, F Milletari, H Roth, P Korfiatis, P Kostandy, K Philbrick, Z Akkus, ...
arXiv preprint arXiv:1903.08205, 2019
Far-wall pseudoenhancement during contrast-enhanced ultrasound of the carotid arteries: clinical description and in vitro reproduction
GL ten Kate, GGJ Renaud, Z Akkus, SCH van den Oord, FJ ten Cate, ...
Ultrasound in medicine & biology 38 (4), 593-600, 2012
What does deep learning see? Insights from a classifier trained to predict contrast enhancement phase from CT images
KA Philbrick, K Yoshida, D Inoue, Z Akkus, TL Kline, AD Weston, ...
American Journal of Roentgenology 211 (6), 1184-1193, 2018
New quantification methods for carotid intra-plaque neovascularization using contrast-enhanced ultrasound
Z Akkus, A Hoogi, G Renaud, SCH van den Oord, GL Ten Kate, ...
Ultrasound in medicine & biology 40 (1), 25-36, 2014
Assessment of carotid atherosclerosis, intraplaque neovascularization, and plaque ulceration using quantitative contrast-enhanced ultrasound in asymptomatic patients with …
SCH Van Den Oord, Z Akkus, G Renaud, JG Bosch, AFW Van Der Steen, ...
European Heart Journal–Cardiovascular Imaging 15 (11), 1213-1218, 2014
Data from LGG-1p19qDeletion
B Erickson, Z Akkus, J Sedlar, P Kofiatis
The cancer imaging archive 76 (10.7937), K9, 2017
Artificial intelligence for detecting mitral regurgitation using electrocardiography
J Kwon, KH Kim, Z Akkus, KH Jeon, J Park, BH Oh
Journal of electrocardiology 59, 151-157, 2020
Artificial intelligence (AI)-empowered echocardiography interpretation: a state-of-the-art review
Z Akkus, YH Aly, IZ Attia, F Lopez-Jimenez, AM Arruda-Olson, PA Pellikka, ...
Journal of clinical medicine 10 (7), 1391, 2021
Semiautomated segmentation of polycystic kidneys in T2-weighted MR images
TL Kline, ME Edwards, P Korfiatis, Z Akkus, VE Torres, BJ Erickson
American Journal of Roentgenology 207 (3), 605-613, 2016
Robust brain extraction tool for CT head images
Z Akkus, P Kostandy, KA Philbrick, BJ Erickson
Neurocomputing 392, 189-195, 2020
Differences between schizophrenic and normal subjects using network properties from fMRI
Y Bae, K Kumarasamy, IM Ali, P Korfiatis, Z Akkus, BJ Erickson
Journal of digital imaging 31, 252-261, 2018
Semi-automated segmentation of pre-operative low grade gliomas in magnetic resonance imaging
Z Akkus, J Sedlar, L Coufalova, P Korfiatis, TL Kline, JD Warner, ...
Cancer Imaging 15, 1-10, 2015
Assessment of subclinical atherosclerosis and intraplaque neovascularization using quantitative contrast-enhanced ultrasound in patients with familial hypercholesterolemia
SCH Van Den Oord, Z Akkus, JER van Lennep, JG Bosch, ...
Atherosclerosis 231 (1), 107-113, 2013
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