| Machine learning for medical imaging BJ Erickson, P Korfiatis, Z Akkus, TL Kline Radiographics 37 (2), 505-515, 2017 | 1206 | 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 | 929 | 2017 |
| 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 | 191 | 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 | 165 | 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 | 158 | 2019 |
| 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 | 103 | 2018 |
| 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 | 79 | 2012 |
| 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 | 72 | 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 | 66 | 2019 |
| 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 | 59 | 2014 |
| 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 | 57 | 2018 |
| 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 | 57 | 2014 |
| Data from LGG-1p19qDeletion B Erickson, Z Akkus, J Sedlar, P Kofiatis The Cancer Imaging Archive 76 (10.7937), K9, 2017 | 47 | 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 | 41 | 2020 |
| Semiautomated segmentation of polycystic kidneys in T2-weighted MR images TL Kline, ME Edwards, P Korfiatis, Z Akkus, VE Torres, BJ Erickson AJR. American journal of roentgenology 207 (3), 605, 2016 | 39 | 2016 |
| Quantitative contrast-enhanced ultrasound of intraplaque neovascularization in patients with carotid atherosclerosis SCH van den Oord, Z Akkus, JG Bosch, A Hoogi, GL ten Kate, G Renaud, ... Ultraschall in der Medizin-European Journal of Ultrasound, 154-161, 2014 | 37 | 2014 |
| Quantitative analysis of ultrasound contrast flow behavior in carotid plaque neovasculature A Hoogi, Z Akkus, SCH van den Oord, GL ten Kate, AFL Schinkel, ... Ultrasound in medicine & biology 38 (12), 2072-2083, 2012 | 36 | 2012 |
| 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 | 35 | 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 | 35 | 2013 |
| Assessment of subclinical atherosclerosis using contrast-enhanced ultrasound SC Van Den Oord, GL Ten Kate, Z Akkus, G Renaud, EJG Sijbrands, ... European Heart Journal–Cardiovascular Imaging 14 (1), 56-61, 2013 | 31 | 2013 |
Bradley J EricksonProfessor of Radiology, Mayo ClinicVerified email at mayo.edu
