| Synseg-net: Synthetic segmentation without target modality ground truth Y Huo, Z Xu, H Moon, S Bao, A Assad, TK Moyo, MR Savona, ... IEEE transactions on medical imaging 38 (4), 1016-1025, 2018 | 178 | 2018 |
| 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 | 157 | 2019 |
| Adversarial synthesis learning enables segmentation without target modality ground truth Y Huo, Z Xu, S Bao, A Assad, RG Abramson, BA Landman 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 133 | 2018 |
| IEEE 15th international symposium on biomedical imaging (ISBI 2018) Y Huo, Z Xu, S Bao, A Assad, RG Abramson, BA Landman Piscataway: IEEE, 1217-1220, 2018 | 72 | 2018 |
| Fully convolutional neural networks improve abdominal organ segmentation MF Bobo, S Bao, Y Huo, Y Yao, J Virostko, AJ Plassard, I Lyu, A Assad, ... Medical Imaging 2018: Image Processing 10574, 750-757, 2018 | 64 | 2018 |
| 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 | 43 | 2018 |
| Distanced LSTM: time-distanced gates in long short-term memory models for lung cancer detection R Gao, Y Huo, S Bao, Y Tang, SL Antic, ES Epstein, AB Balar, S Deppen, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 37 | 2019 |
| 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 | 37 | 2018 |
| 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 | 36 | 2018 |
| 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 | 27 | 2021 |
| Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks A Bhattacharjee, Y Barve, S Khare, S Bao, A Gokhale, T Damiano arXiv preprint arXiv:1904.01727, 2019 | 26 | 2019 |
| Time-distanced gates in long short-term memory networks R Gao, Y Tang, K Xu, Y Huo, S Bao, SL Antic, ES Epstein, S Deppen, ... Medical image analysis 65, 101785, 2020 | 23 | 2020 |
| 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 | 20 | 2018 |
| Cortical surface parcellation using spherical convolutional neural networks P Parvathaneni, S Bao, V Nath, ND Woodward, DO Claassen, CJ Cascio, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 19 | 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 | 18 | 2019 |
| Lung cancer detection using co-learning from chest CT images and clinical demographics J Wang, R Gao, Y Huo, S Bao, Y Xiong, SL Antic, TJ Osterman, ... Medical imaging 2019: Image processing 10949, 365-371, 2019 | 17 | 2019 |
| Labeling lateral prefrontal sulci using spherical data augmentation and context-aware training I Lyu, S Bao, L Hao, J Yao, JA Miller, W Voorhies, WD Taylor, SA Bunge, ... Neuroimage 229, 117758, 2021 | 14 | 2021 |
| Cost-effective Hardware Accelerator Recommendation for Edge Computing. X Zhou, R Canady, S Bao, A Gokhale HotEdge, 2020 | 14 | 2020 |
| Compound figure separation of biomedical images with side loss T Yao, C Qu, Q Liu, R Deng, Y Tian, J Xu, A Jha, S Bao, M Zhao, AB Fogo, ... Deep Generative Models, and Data Augmentation, Labelling, and Imperfections …, 2021 | 13 | 2021 |
| Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields S Bao, C Bermudez, Y Huo, P Parvathaneni, W Rodriguez, SM Resnick, ... Magnetic resonance imaging 59, 143-152, 2019 | 13 | 2019 |
Bennett Allan LandmanElectrical and Computer Engineering, Vanderbilt UniversityVerified email at vanderbilt.edu
