| Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation R Wang, P Chaudhari, C Davatzikos Medical image analysis 76, 102309, 2022 | 41 | 2022 |
| Bias in machine learning models can be significantly mitigated by careful training: Evidence from neuroimaging studies R Wang, P Chaudhari, C Davatzikos Proceedings of the National Academy of Sciences 120 (6), e2211613120, 2023 | 25 | 2023 |
| Applications of generative adversarial networks in neuroimaging and clinical neuroscience R Wang, V Bashyam, Z Yang, F Yu, V Tassopoulou, SS Chintapalli, ... Neuroimage 269, 119898, 2023 | 24 | 2023 |
| Harmonization with flow-based causal inference R Wang, P Chaudhari, C Davatzikos Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 23 | 2021 |
| Efficient folded attention for medical image reconstruction and segmentation H Zhang, J Zhang, R Wang, Q Zhang, P Spincemaille, TD Nguyen, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10868 …, 2021 | 20 | 2021 |
| Geometric loss for deep multiple sclerosis lesion segmentation H Zhang, J Zhang, R Wang, Q Zhang, SA Gauthier, P Spincemaille, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 24-28, 2021 | 20 | 2021 |
| Tuning photonic crystal fabrication by nanosphere lithography and surface treatment of AlGaN-based ultraviolet light-emitting diodes KWA Chee, W Guo, JR Wang, Y Wang, Y Chen, J Ye Materials & Design 160, 661-670, 2018 | 20 | 2018 |
| Nerd: Neural representation of distribution for medical image segmentation H Zhang, R Wang, J Zhang, C Li, G Yang, P Spincemaille, T Nguyen, ... arXiv preprint arXiv:2103.04020, 2021 | 12 | 2021 |
| Spatially covariant lesion segmentation H Zhang, R Wang, J Zhang, D Liu, C Li, J Li Proceedings of the International Joint Conference on Artificial Intelligence …, 2023 | 7 | 2023 |
| Deda: Deep directed accumulator H Zhang, R Wang, R Hu, J Zhang, J Li International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 5 | 2023 |
| Machine Learning Models Are Not Necessarily Biased When Constructed Properly: Evidence from Neuroimaging Studies R Wang, P Chaudhari, C Davatzikos arXiv e-prints, arXiv: 2205.13421, 2022 | 2 | 2022 |
| Spatially covariant image registration with text prompts H Zhang, X Chen, R Wang, R Hu, D Liu, G Li arXiv preprint arXiv:2311.15607, 2023 | 1 | 2023 |
| DAGrid: directed accumulator grid H Zhang, R Hu, X Chen, R Wang, J Zhang, J Li arXiv preprint arXiv:2306.02589, 2023 | 1 | 2023 |
| Investigating causal genetic effects on overall survival of glioblastoma patients using normalizing flow and structural causal model F Yu, R Wang, P Chaudhari, C Davatzikos Medical Imaging 2024: Computer-Aided Diagnosis 12927, 326-331, 2024 | | 2024 |
| Slicer Networks H Zhang, X Chen, R Wang, R Hu, D Liu, G Li arXiv preprint arXiv:2401.09833, 2024 | | 2024 |
| Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning J Wen, M Antoniades, Z Yang, G Hwang, I Skampardoni, R Wang, ... arXiv preprint arXiv:2401.09517, 2024 | | 2024 |
| Investigating Causality Between Genotype And Clinical Phenotype In Neurological Disorders Using Structural Causal Model and Normalizing Flow F Yu, R Wang, P Chaudhari, C Davatzikos Deep Generative Models for Health Workshop NeurIPS 2023, 2023 | | 2023 |
| PagFormer: Polar Accumulator Grid Integrated into Transformers for Medical Image Segmentation H Zhang, R Hu, R Wang, D Liu, G Li | | 2023 |
| Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience R Wang, G Erus, P Chaudhari, C Davatzikos arXiv preprint arXiv:2308.03175, 2023 | | 2023 |
| Reply to Holm et al.: Careful training is a good practice R Wang, P Chaudhari, C Davatzikos Proceedings of the National Academy of Sciences 120 (23), e2305855120, 2023 | | 2023 |
