| 3D whole brain segmentation using spatially localized atlas network tiles Y Huo, Z Xu, Y Xiong, K Aboud, P Parvathaneni, S Bao, C Bermudez, ... NeuroImage 194, 105-119, 2019 | 273 | 2019 |
| Learning implicit brain MRI manifolds with deep learning C Bermudez, AJ Plassard, LT Davis, AT Newton, SM Resnick, ... Medical Imaging 2018: Image Processing 10574, 408-414, 2018 | 169 | 2018 |
| Multi-site infant brain segmentation algorithms: the iSeg-2019 challenge Y Sun, K Gao, Z Wu, G Li, X Zong, Z Lei, Y Wei, J Ma, X Yang, X Feng, ... IEEE Transactions on Medical Imaging 40 (5), 1363-1376, 2021 | 79 | 2021 |
| Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks Y Huo, Z Xu, S Bao, C Bermudez, AJ Plassard, J Liu, Y Yao, A Assad, ... Medical Imaging 2018: Image Processing 10574, 45-51, 2018 | 56 | 2018 |
| Accelerated brain aging predicts impaired cognitive performance and greater disability in geriatric but not midlife adult depression S Christman, C Bermudez, L Hao, BA Landman, B Boyd, K Albert, ... Translational Psychiatry 10 (1), 317, 2020 | 55 | 2020 |
| High-resolution 3D abdominal segmentation with random patch network fusion Y Tang, R Gao, HH Lee, S Han, Y Chen, D Gao, V Nath, C Bermudez, ... Medical image analysis 69, 101894, 2021 | 53 | 2021 |
| Anatomical context improves deep learning on the brain age estimation task C Bermudez, AJ Plassard, S Chaganti, Y Huo, KS Aboud, LE Cutting, ... Magnetic Resonance Imaging 62, 70-77, 2019 | 48 | 2019 |
| Spatially localized atlas network tiles enables 3D whole brain segmentation from limited data Y Huo, Z Xu, K Aboud, P Parvathaneni, S Bao, C Bermudez, SM Resnick, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 48 | 2018 |
| Splenomegaly segmentation on multi-modal MRI using deep convolutional networks Y Huo, Z Xu, S Bao, C Bermudez, H Moon, P Parvathaneni, TK Moyo, ... IEEE transactions on medical imaging 38 (5), 1185-1196, 2018 | 45 | 2018 |
| Anatomical context protects deep learning from adversarial perturbations in medical imaging Y Li, H Zhang, C Bermudez, Y Chen, BA Landman, Y Vorobeychik Neurocomputing 379, 370-378, 2020 | 41 | 2020 |
| Inter-scanner harmonization of high angular resolution DW-MRI using null space deep learning V Nath, P Parvathaneni, CB Hansen, AE Hainline, C Bermudez, ... Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain …, 2019 | 35 | 2019 |
| Distributed deep learning across multisite datasets for generalized CT hemorrhage segmentation SW Remedios, S Roy, C Bermudez, MB Patel, JA Butman, BA Landman, ... Medical physics 47 (1), 89-98, 2020 | 34 | 2020 |
| Spatiotemporal mapping of interictal spike propagation: A novel methodology applied to pediatric intracranial EEG recordings SB Tomlinson, C Bermudez, C Conley, MW Brown, BE Porter, ED Marsh Frontiers in neurology 7, 229, 2016 | 32 | 2016 |
| Towards portable large-scale image processing with high-performance computing Y Huo, J Blaber, SM Damon, BD Boyd, S Bao, P Parvathaneni, ... Journal of digital imaging 31, 304-314, 2018 | 30 | 2018 |
| Suppressing c AMP response element‐binding protein transcription shortens the duration of status epilepticus and decreases the number of spontaneous seizures in the pilocarpine … X Zhu, D Dubey, C Bermudez, BE Porter Epilepsia 56 (12), 1870-1878, 2015 | 28 | 2015 |
| Body part regression with self-supervision Y Tang, R Gao, S Han, Y Chen, D Gao, V Nath, C Bermudez, MR Savona, ... IEEE transactions on medical imaging 40 (5), 1499-1507, 2021 | 20 | 2021 |
| Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury S Remedios, S Roy, J Blaber, C Bermudez, V Nath, MB Patel, JA Butman, ... Medical Imaging 2019: Image Processing 10949, 68-75, 2019 | 20 | 2019 |
| Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning Y Huo, JG Terry, J Wang, V Nath, C Bermudez, S Bao, P Parvathaneni, ... Medical Imaging 2019: Image Processing 10949, 308-315, 2019 | 19 | 2019 |
| Contrast phase classification with a generative adversarial network Y Tang, HH Lee, Y Xu, O Tang, Y Chen, D Gao, S Han, R Gao, ... Medical Imaging 2020: Image Processing 11313, 220-227, 2020 | 16 | 2020 |
| Plasma biomarkers for prediction of Alzheimer’s disease neuropathologic change C Bermudez, J Graff-Radford, JA Syrjanen, NH Stricker, ... Acta neuropathologica 146 (1), 13-29, 2023 | 15 | 2023 |
Bennett Allan LandmanElectrical and Computer Engineering, Vanderbilt UniversityVerified email at vanderbilt.edu
