Zeynettin AKKUS

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Bradley J EricksonProfessor of Radiology, Mayo ClinicDirección de correo verificada de mayo.edu
Johan G. BoschErasmus MC Rotterdam, The NetherlandsDirección de correo verificada de erasmusmc.nl
Arend F.L. SchinkelCardiologist, Thoraxcenter, Erasmus MC, Rotterdam, The NetherlandsDirección de correo verificada de erasmusmc.nl
Korfiatis PanagiotisMayo ClinicDirección de correo verificada de mayo.edu
Timothy L Kline, PhDMayo ClinicDirección de correo verificada de mayo.edu
van der Steen a.f.w.Onbekend partnerschapDirección de correo verificada de erasmusmc.nl
Assaf HoogiAssistant Professor, Faculty of Computer ScienceDirección de correo verificada de ariel.ac.il
Nico de Jong (peer reviewed)nicolaas.dejong@tudelft.nl or n.dejong@erasmusmc.nlDirección de correo verificada de erasmusmc.nl
Alexander WestonData Scientist, Mayo ClinicDirección de correo verificada de mayo.edu
Arunnit BoonrodKhon Kaen UniversityDirección de correo verificada de kku.ac.th
Diego Dias Bispo Carvalho, PhDFugro R&D Engineer. alum: Erasmus University Rotterdam - BIGRDirección de correo verificada de fugro.com
Stefan KleinBiomedical Imaging Group Rotterdam, Erasmus MC, the NetherlandsDirección de correo verificada de erasmusmc.nl
Jiri SedlarCzech Technical University in Prague, Czech RepublicDirección de correo verificada de cvut.cz
Wiro NiessenProfessor in Biomedical Image Analysis, Erasmus MC/TU DelftDirección de correo verificada de erasmusmc.nl
Issa AliYale UniversityDirección de correo verificada de yale.edu
Alfiia GalimzianovaMedableDirección de correo verificada de medable.com
Aad van der LugtHoogleraar Radiologie, Erasmus MC RotterdamDirección de correo verificada de erasmusmc.nl
Ian ParneyMayo ClinicDirección de correo verificada de mayo.edu
Folkert Ten CateErasmus medical CenterDirección de correo verificada de erasmusmc.nl
Fausto MilletarìPaige.aiDirección de correo verificada de paige.ai

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Zeynettin AKKUS

Assistant Professor of Biomedical Engineering, Mayo Clinic

Dirección de correo verificada de mayo.edu

medical image analysis quantitative imaging deep learning in medical images computer aided decision making in medicine


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Machine learning for medical imaging BJ Erickson, P Korfiatis, Z Akkus, TL Kline radiographics 37 (2), 505-515, 2017	1550	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	1114	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	223	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	209	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	194	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	134	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	99	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	89	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	82	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	70	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	61	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	60	2014
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	53	2021
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	53	2020
Data from LGG-1p19qDeletion B Erickson, Z Akkus, J Sedlar, P Kofiatis The cancer imaging archive 76 (10.7937), K9, 2017	53	2017
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	42	2016
Robust brain extraction tool for CT head images Z Akkus, P Kostandy, KA Philbrick, BJ Erickson Neurocomputing 392, 189-195, 2020	40	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	39	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	38	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	38	2013

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