| Discriminative multidimensional scaling for low-resolution face recognition F Yang, W Yang, R Gao, Q Liao IEEE Signal Processing Letters, 2017 | 74 | 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 | 52 | 2021 |
| 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 | 46 | 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 | 32 | 2020 |
| Margin Loss: Making Faces More Separable R Gao, F Yang, W Yang, Q Liao IEEE Signal Processing Letters, 2018 | 31 | 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 | 25 | 2023 |
| 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 | 22 | 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 | 17 | 2021 |
| 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 | 16 | 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 |
| 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 | 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 |
| 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 | 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 | 11 | 2021 |
| Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk R Gao, Y Tang, K Xu, MN Kammer, SL Antic, S Deppen, KL Sandler, ... SPIE: Medical Imaging (RFW best paper finalist), 2021 | 10 | 2021 |
| Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective R Gao, Y Tang, K Xu, HH Lee, S Deppen, K Sandler, P Massion, ... MICCAI (early accept), 2021 | 9 | 2021 |
| 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 | 9 | 2020 |
| Inter-class angular margin loss for face recognition J Sun, W Yang, R Gao, JH Xue, Q Liao Signal Processing: Image Communication, 2020 | 9 | 2020 |
| Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks Y Tang, R Gao, HH Lee, Z Xu, BV Savoie, S Bao, Y Huo, AB Fogo, ... SPIE: Medical Imaging 2021, 2021 | 8 | 2021 |
| Validation and estimation of spleen volume via computer-assisted segmentation on clinically acquired CT scans Y Yang, Y Tang, R Gao, S Bao, Y Huo, MT McKenna, MR Savona, ... Journal of Medical Imaging 8 (1), 014004-014004, 2021 | 8 | 2021 |
Bennett Allan LandmanElectrical and Computer Engineering, Vanderbilt UniversityBestätigte E-Mail-Adresse bei vanderbilt.edu
