| Discriminative multidimensional scaling for low-resolution face recognition F Yang, W Yang, R Gao, Q Liao IEEE Signal Processing Letters, 2017 | 78 | 2017 |
| 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, 2021 | 63 | 2021 |
| 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 | 57 | 2023 |
| 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, ... MLMI@MICCAI (oral), 2019 | 56 | 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 (CF Chen best paper in Vanderbilt), 2020 | 35 | 2020 |
| Margin Loss: Making Faces More Separable R Gao, F Yang, W Yang, Q Liao IEEE Signal Processing Letters, 2018 | 32 | 2018 |
| 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, ... SPIE: Medical imaging, 2019 | 26 | 2019 |
| 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, 2021 | 24 | 2021 |
| AI body composition in lung cancer screening: added value beyond lung cancer detection K Xu, MS Khan, TZ Li, R Gao, JG Terry, Y Huo, TA Lasko, JJ Carr, ... Radiology 308 (1), e222937, 2023 | 20 | 2023 |
| Cosst: Multi-organ segmentation with partially labeled datasets using comprehensive supervisions and self-training H Liu, Z Xu, R Gao, H Li, J Wang, G Chabin, I Oguz, S Grbic IEEE Transactions on Medical Imaging, 2024 | 19 | 2024 |
| Semi-supervised multi-organ segmentation through quality assurance supervision HH Lee, Y Tang, O Tang, Y Xu, Y Chen, D Gao, S Han, R Gao, ... SPIE: Medical Imaging, 2020 | 18 | 2020 |
| Contrast phase classification with a generative adversarial network Y Tang, HH Lee, Y Xu, O Tang, Y Chen, D Gao, S Han, R Gao, ... SPIE: Medical Imaging, 2020 | 17 | 2020 |
| Prediction of type II diabetes onset with computed tomography and electronic medical records Y Tang, R Gao, HH Lee, QS Wells, A Spann, JG Terry, JJ Carr, Y Huo, ... Multimodal Learning for Clinical Decision Support and Clinical Image-Based …, 2020 | 16 | 2020 |
| Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging R Gao, L Li, Y Tang, SL Antic, AB Paulson, Y Huo, KL Sandler, ... SPIE: Medical Imaging (RFW best paper finalist), 2020 | 15 | 2020 |
| Inter-class angular margin loss for face recognition J Sun, W Yang, R Gao, JH Xue, Q Liao Signal Processing: Image Communication, 2020 | 15 | 2020 |
| Multi-path xD recurrent neural networks for collaborative image classification R Gao, Y Huo, S Bao, Y Tang, SL Antic, ES Epstein, S Deppen, ... Neurocomputing, 2020 | 14 | 2020 |
| Cancer risk estimation combining lung screening CT with clinical data elements R Gao, Y Tang, MS Khan, K Xu, AB Paulson, S Sullivan, Y Huo, S Deppen, ... Radiology: Artificial Intelligence 3 (6), e210032, 2021 | 13 | 2021 |
| Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective K Xu, T Li, MS Khan, R Gao, SL Antic, Y Huo, KL Sandler, F Maldonado, ... Medical image analysis 88, 102852, 2023 | 12 | 2023 |
| Extending the value of routine lung screening CT with quantitative body composition assessment K Xu, R Gao, Y Tang, SA Deppen, KL Sandler, MN Kammer, SL Antic, ... SPIE: Medical Imaging 2022, 2022 | 12 | 2022 |
| Automatic labeling of cortical sulci using spherical convolutional neural networks in a developmental cohort L Hao, S Bao, Y Tang, R Gao, P Parvathaneni, JA Miller, W Voorhies, ... IEEE ISBI, 2020 | 12 | 2020 |
Bennett Allan LandmanElectrical and Computer Engineering, Vanderbilt UniversityDirección de correo verificada de vanderbilt.edu
