| Diagnostic classification of lung nodules using 3D neural networks R Dey, Z Lu, Y Hong 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 178 | 2018 |
| CompNet: Complementary segmentation network for brain MRI extraction R Dey, Y Hong Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 54 | 2018 |
| Hybrid cascaded neural network for liver lesion segmentation R Dey, Y Hong 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1173-1177, 2020 | 28 | 2020 |
| Asc-net: Adversarial-based selective network for unsupervised anomaly segmentation R Dey, Y Hong Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 19 | 2021 |
| ChatterHub: Privacy invasion via smart home hub O Setayeshfar, K Subramani, X Yuan, R Dey, D Hong, KH Lee, IK Kim 2021 IEEE International Conference on Smart Computing (SMARTCOMP), 181-188, 2021 | 7 | 2021 |
| An AI-enhanced pattern recognition approach to temporal and spatial analysis of children's embodied interactions C Ocak, TJ Kopcha, R Dey Computers and Education: Artificial Intelligence 5, 100146, 2023 | 3 | 2023 |
| An AI-enhanced Pattern Recognition Approach to Analyze Children’s Embodied Interactions C OCAK, TJ KOPCHA, R DEYc Proceedings of the 29th international conference on computers in education …, 2021 | 2 | 2021 |
| Privacy invasion via smart-home hub in personal area networks O Setayeshfar, K Subramani, X Yuan, R Dey, D Hong, IK Kim, KH Lee Pervasive and Mobile Computing 85, 101675, 2022 | 1 | 2022 |
| Complementary learning for Deep Medical Image Segmentation and Anomaly Detection R Dey University of Georgia, 2021 | 1 | 2021 |
| Handwriting recognition R Dey, GB Veni, MS Fujimoto, YY Yu, J Lee US Patent App. 17/643,545, 2022 | | 2022 |
| ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network R Dey, W Sun, H Xu, Y Hong arXiv preprint arXiv:2112.09135, 2021 | | 2021 |
