| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2314 | 2018 |
| Brain tumor segmentation using an ensemble of 3d u-nets and overall survival prediction using radiomic features X Feng, NJ Tustison, SH Patel, CH Meyer Frontiers in computational neuroscience 14, 25, 2020 | 298 | 2020 |
| Autosegmentation for thoracic radiation treatment planning: a grand challenge at AAPM 2017 J Yang, H Veeraraghavan, SG Armato III, K Farahani, JS Kirby, ... Medical physics 45 (10), 4568-4581, 2018 | 262 | 2018 |
| Head and neck tumor segmentation in PET/CT: the HECKTOR challenge V Oreiller, V Andrearczyk, M Jreige, S Boughdad, H Elhalawani, J Castelli, ... Medical image analysis 77, 102336, 2022 | 218 | 2022 |
| Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images X Feng, K Qing, NJ Tustison, CH Meyer, Q Chen Medical physics 46 (5), 2169-2180, 2019 | 140 | 2019 |
| Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study Z Jiao, JW Choi, K Halsey, TML Tran, B Hsieh, D Wang, F Eweje, R Wang, ... The Lancet Digital Health 3 (5), e286-e294, 2021 | 123 | 2021 |
| Convolutional neural networks with template-based data augmentation for functional lung image quantification NJ Tustison, BB Avants, Z Lin, X Feng, N Cullen, JF Mata, L Flors, JC Gee, ... Academic radiology 26 (3), 412-423, 2019 | 76 | 2019 |
| Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge KM Timmins, IC van der Schaaf, E Bennink, YM Ruigrok, X An, ... Neuroimage 238, 118216, 2021 | 71 | 2021 |
| Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images W Chen, Y Li, BA Dyer, X Feng, S Rao, SH Benedict, Q Chen, Y Rong Radiation Oncology 15, 1-10, 2020 | 67 | 2020 |
| Systems and methods for accelerated MR thermometry S Fielden, L Zhao, W Miller, X Feng, M Wintermark, KB Pauly, CH Meyer US Patent 10,722,137, 2020 | 64 | 2020 |
| Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data R Wang, Z Jiao, L Yang, JW Choi, Z Xiong, K Halsey, TML Tran, I Pan, ... European radiology 32, 205-212, 2022 | 60 | 2022 |
| Systems and methods for cartesian dynamic imaging X Feng, M Salerno, CM Kramer, CH Meyer US Patent 9,910,118, 2018 | 57 | 2018 |
| QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... The journal of machine learning for biomedical imaging 2022, https://www …, 2022 | 54 | 2022 |
| Automatic segmentation of all lower limb muscles from high-resolution magnetic resonance imaging using a cascaded three-dimensional deep convolutional neural network R Ni, CH Meyer, SS Blemker, JM Hart, X Feng Journal of Medical Imaging 6 (4), 044009-044009, 2019 | 52 | 2019 |
| Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge A Lalande, Z Chen, T Pommier, T Decourselle, A Qayyum, M Salomon, ... Medical Image Analysis 79, 102428, 2022 | 50 | 2022 |
| Evaluating the clinical acceptability of deep learning contours of prostate and organs‐at‐risk in an automated prostate treatment planning process J Duan, M Bernard, L Downes, B Willows, X Feng, WF Mourad, W St Clair, ... Medical Physics 49 (4), 2570-2581, 2022 | 50 | 2022 |
| Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping S Ghadimi, DA Auger, X Feng, C Sun, CH Meyer, KC Bilchick, JJ Cao, ... Journal of Cardiovascular Magnetic Resonance 23 (1), 20, 2021 | 44 | 2021 |
| Rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction L Zhao, SW Fielden, X Feng, M Wintermark, JP Mugler III, CH Meyer Neuroimage 121, 205-216, 2015 | 43 | 2015 |
| Non‐Cartesian balanced steady‐state free precession pulse sequences for real‐time cardiac MRI X Feng, M Salerno, CM Kramer, CH Meyer Magnetic resonance in medicine 75 (4), 1546-1555, 2016 | 40 | 2016 |
| Improving accuracy and robustness of deep convolutional neural network based thoracic OAR segmentation X Feng, ME Bernard, T Hunter, Q Chen Physics in Medicine & Biology 65 (7), 07NT01, 2020 | 36 | 2020 |
Craig H. MeyerProfessor of Biomedical Engineering and Radiology, University of VirginiaE-mail megerősítve itt: virginia.edu