| 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation HH Lee, S Bao, Y Huo, BA Landman International Conference on Learning Representations (ICLR 2023), 2022 | 147 | 2022 |
| 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 | 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 |
| An animal model of co-existing sarcopenia and osteoporotic fracture in senescence accelerated mouse prone 8 (SAMP8) N Zhang, SKH Chow, KS Leung, HH Lee, WH Cheung Experimental gerontology 97, 1-8, 2017 | 41 | 2017 |
| Moddrop++: A dynamic filter network with intra-subject co-training for multiple sclerosis lesion segmentation with missing modalities H Liu, Y Fan, H Li, J Wang, D Hu, C Cui, HH Lee, H Zhang, I Oguz International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 26 | 2022 |
| Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation HH Lee, Q Liu, S Bao, Q Yang, X Yu, LY Cai, T Li, Y Huo, X Koutsoukos, ... International Conference on Medical Image Computing and Computer Assisted …, 2023 | 18 | 2023 |
| 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 | 17 | 2020 |
| 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, ... Medical Imaging 2020: Image Processing 11313, 363-369, 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 |
| Label efficient segmentation of single slice thigh CT with two-stage pseudo labels Q Yang, X Yu, HH Lee, Y Tang, S Bao, KS Gravenstein, AZ Moore, ... Journal of Medical Imaging 9 (5), 052405-052405, 2022 | 14 | 2022 |
| Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior HH Lee, Y Tang, S Bao, RG Abramson, Y Huo, BA Landman 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1491-1494, 2021 | 14 | 2021 |
| A cross-platform informatics system for the Gut Cell Atlas: integrating clinical, anatomical and histological data S Bao, S Chiron, Y Tang, CN Heiser, AN Southard-Smith, HH Lee, ... Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and …, 2021 | 12 | 2021 |
| Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation HH Lee, Y Tang, Q Yang, X Yu, S Bao, LY Cai, LW Remedios, ... IEEE Journal of Biomedical and Health Informatics, 2023 | 11* | 2023 |
| Multi-contrast computed tomography healthy kidney atlas HH Lee, Y Tang, K Xu, S Bao, AB Fogo, R Harris, MP de Caestecker, ... Computers in biology and medicine 146, 105555, 2022 | 11 | 2022 |
| Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas HH Lee, Y Tang, S Bao, Q Yang, X Xu, AB Fogo, R Harris, ... Proceedings of SPIE--the International Society for Optical Engineering 12032 …, 2022 | 11 | 2022 |
| Learning white matter subject‐specific segmentation from structural MRI Q Yang, CB Hansen, LY Cai, F Rheault, HH Lee, S Bao, BQ Chandio, ... Medical physics 49 (4), 2502-2513, 2022 | 10 | 2022 |
| 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, ... Medical Imaging 2021: Image Processing 11596, 379-386, 2021 | 9 | 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, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| Foundation models for biomedical image segmentation: A survey HH Lee, Y Gu, T Zhao, Y Xu, J Yang, N Usuyama, C Wong, M Wei, ... arXiv preprint arXiv:2401.07654, 2024 | 8 | 2024 |
| Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context LY Cai, HH Lee, NR Newlin, CI Kerley, P Kanakaraj, Q Yang, ... bioRxiv, 2023 | 8 | 2023 |
Bennett Allan LandmanElectrical and Computer Engineering, Vanderbilt UniversityVerified email at vanderbilt.edu
