| Machine learning for medical imaging BJ Erickson, P Korfiatis, Z Akkus, TL Kline radiographics 37 (2), 505-515, 2017 | 1703 | 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 | 1186 | 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 | 244 | 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 | 220 | 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 | 211 | 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 | 142 | 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 | 121 | 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 | 101 | 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 | 81 | 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 | 71 | 2018 |
| 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 | 66 | 2021 |
| 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 | 63 | 2014 |
| 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 | 60 | 2020 |
| 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 |
| Data from LGG-1p19qDeletion B Erickson, Z Akkus, J Sedlar, P Kofiatis The cancer imaging archive 76 (10.7937), K9, 2017 | 55 | 2017 |
| Robust brain extraction tool for CT head images Z Akkus, P Kostandy, KA Philbrick, BJ Erickson Neurocomputing 392, 189-195, 2020 | 45 | 2020 |
| 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 | 45 | 2016 |
| 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 | 44 | 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 | 40 | 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 |
Bradley J EricksonProfessor of Radiology, Mayo ClinicVerified email at mayo.edu
