| Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets. arXiv 2023 S He, R Bao, J Li, J Stout, A Bjornerud, PE Grant, Y Ou arXiv preprint arXiv:2304.09324, 2023 | 225* | 2023 |
| The cell tracking challenge: 10 years of objective benchmarking M Maška, V Ulman, P Delgado-Rodriguez, E Gómez-de-Mariscal, ... Nature Methods 20 (7), 1010-1020, 2023 | 110 | 2023 |
| Predicting carbon nanotube forest attributes and mechanical properties using simulated images and deep learning T Hajilounezhad, R Bao, K Palaniappan, F Bunyak, P Calyam, ... npj Computational Materials 7 (1), 134, 2021 | 36 | 2021 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 33 | 2022 |
| Dmnet: Dual-stream marker guided deep network for dense cell segmentation and lineage tracking R Bao, NM Al-Shakarji, F Bunyak, K Palaniappan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 20 | 2021 |
| BOston Neonatal Brain Injury Dataset for Hypoxic Ischemic Encephalopathy (BONBID-HIE): Part I. MRI and Manual Lesion Annotation R Bao, Y Song, SV Bates, RJ Weiss, AN Foster, CJ Cobos, S Sotardi, ... bioRxiv, 2023 | 19 | 2023 |
| U-Netmer: U-Net meets transformer for medical image segmentation S He, R Bao, PE Grant, Y Ou arXiv preprint arXiv:2304.01401, 2023 | 17 | 2023 |
| GLSNet: Global and local streams network for 3D point cloud classification R Bao, K Palaniappan, Y Zhao, G Seetharaman, W Zeng 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-9, 2019 | 9 | 2019 |
| GLSNet++: Global and Local-Stream Feature Fusion for LiDAR Point Cloud Semantic Segmentation Using GNN Demixing Block R Bao, K Palaniappan, Y Zhao, G Seetharaman IEEE Sensors Journal, 2024 | 4 | 2024 |
| BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy (BONBID-HIE): II. 2-year Neurocognitive Outcome and NICU Outcome R Bao, Y Ou https://arxiv.org/abs/2411.03456, 2024 | 1 | 2024 |
| PARADISE: Personalized and regional adaptation for HIE disease identification and segmentation R Bao, RJ Weiss, SV Bates, Y Song, S He, J Li, A Bjornerud, RL Gollub, ... Medical Image Analysis, 103419, 2025 | | 2025 |
| Relation U-Net S He, R Bao, PE Grant, Y Ou arXiv preprint arXiv:2501.09101, 2025 | | 2025 |
| BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy (BONBID-HIE): I. MRI and Lesion Labeling R Bao, Y Song, SV Bates, RJ Weiss, AN Foster, C Jaimes, S Sotardi, ... Scientific Data 12 (1), 53, 2025 | | 2025 |
| AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury R Bao, S He, E Grant, Y Ou arXiv preprint arXiv:2411.05188, 2024 | | 2024 |
| Foundation AI Model for Medical Image Segmentation R Bao, E Darzi, S He, CH Hsiao, MA Hussain, J Li, A Bjornerud, E Grant, ... https://arxiv.org/abs/2411.02745, 2024 | | 2024 |
| AI for Brain Lesion Detection and Trauma Video Action Recognition R Bao, E Grant, A Kirkpatrick, J Wachs, Y Ou | | 2024 |
| Lightweight SDE-Net Fusing Model-Based and Learned Features for Computational Histopathology R Bao, Y Zhao, A Srivastava, S Frazier, K Palaniappan IEEE Journal of Selected Topics in Signal Processing, 2024 | | 2024 |
| The role of expert MRI scores in predicting adverse 18-22-month outcomes for Hypoxic Ischemic Encephalopathy in Neonatal Research Network trials A Kesri, R Bao, CH Hsiao, R Vyas, MA Hussain, S McDonald, J Auman, ... | | 2024 |
| P18-006-23 Maternal Dietary Nutrition Interact With Demographic and Socioeconomic Information To Impact Offspring Neurocognition by Early School Age R Bao, D Wu, R Vyas, M Kuchan, J Lasekan, B Sutton, E Grant, S Morton, ... Current Developments in Nutrition 7, 2023 | | 2023 |
| Deep learning architectures for 2D and 3D scene perception R Bao University of Missouri--Columbia, 2021 | | 2021 |
Yangming OuHarvard Medical SchoolVerified email at childrens.harvard.edu