| 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 | 306 | 2019 |
| 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 | 283 | 2018 |
| Segment anything model (sam) for digital pathology: Assess zero-shot segmentation on whole slide imaging R Deng, C Cui, Q Liu, T Yao, LW Remedios, S Bao, BA Landman, ... arXiv preprint arXiv:2304.04155, 2023 | 210 | 2023 |
| 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 | 189 | 2018 |
| 3d ux-net: A large kernel volumetric convnet modernizing hierarchical transformer for medical image segmentation HH Lee, S Bao, Y Huo, BA Landman arXiv preprint arXiv:2209.15076, 2022 | 175 | 2022 |
| 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 | 87 | 2018 |
| Unest: local spatial representation learning with hierarchical transformer for efficient medical segmentation X Yu, Q Yang, Y Zhou, LY Cai, R Gao, HH Lee, T Li, S Bao, Z Xu, ... Medical Image Analysis 90, 102939, 2023 | 70 | 2023 |
| 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 | 67 | 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 | 62 | 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 | 60 | 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 | 50 | 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 | 49 | 2018 |
| Stratum: A serverless framework for the lifecycle management of machine learning-based data analytics tasks A Bhattacharjee, Y Barve, S Khare, S Bao, A Gokhale, T Damiano 2019 USENIX conference on operational machine learning (OpML 19), 59-61, 2019 | 43 | 2019 |
| 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 | 40 | 2021 |
| All-in-sam: from weak annotation to pixel-wise nuclei segmentation with prompt-based finetuning C Cui, R Deng, Q Liu, T Yao, S Bao, LW Remedios, BA Landman, Y Tang, ... Journal of Physics: Conference Series 2722 (1), 012012, 2024 | 36 | 2024 |
| 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 | 36 | 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 | 35 | 2018 |
| 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 | 27 | 2021 |
| 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 | 27 | 2019 |
| Cross-scale multi-instance learning for pathological image diagnosis R Deng, C Cui, LW Remedios, S Bao, RM Womick, S Chiron, J Li, ... Medical image analysis 94, 103124, 2024 | 26 | 2024 |
Bennett Allan LandmanElectrical and Computer Engineering, Vanderbilt UniversityBestätigte E-Mail-Adresse bei vanderbilt.edu