| Multi-organ omics-based prediction for adaptive radiation therapy eligibility in nasopharyngeal carcinoma patients undergoing concurrent chemoradiotherapy SK Lam, Y Zhang, J Zhang, B Li, JC Sun, CYT Liu, PH Chou, X Teng, ... Frontiers in oncology 11, 792024, 2022 | 45 | 2022 |
| Hemodynamic stress shapes subchondral bone in osteoarthritis: An emerging hypothesis R Ni, XE Guo, CH Yan, C Wen Journal of orthopaedic translation 32, 85-90, 2022 | 26 | 2022 |
| A dual‐supervised deformation estimation model (DDEM) for constructing ultra‐quality 4D‐MRI based on a commercial low‐quality 4D‐MRI for liver cancer radiation therapy H Xiao, R Ni, S Zhi, W Li, C Liu, G Ren, X Teng, W Liu, W Wang, Y Zhang, ... Medical physics 49 (5), 3159-3170, 2022 | 21 | 2022 |
| A multi-center study of CT-based neck nodal radiomics for predicting an adaptive radiotherapy trigger of ill-fitted thermoplastic masks in patients with nasopharyngeal carcinoma SK Lam, J Zhang, YP Zhang, B Li, RY Ni, T Zhou, T Peng, ALY Cheung, ... Life 12 (2), 241, 2022 | 19 | 2022 |
| Deep learning-based automatic assessment of radiation dermatitis in patients with nasopharyngeal carcinoma R Ni, T Zhou, G Ren, Y Zhang, D Yang, VCW Tam, WS Leung, H Ge, ... International Journal of Radiation Oncology* Biology* Physics 113 (3), 685-694, 2022 | 11 | 2022 |
| Artificial intelligence applications in brachytherapy: A literature review JZL Zhao, R Ni, R Chow, A Rink, R Weersink, J Croke, S Raman Brachytherapy 22 (4), 429-445, 2023 | 8 | 2023 |
| Deep learning attention-guided radiomics for COVID-19 chest radiograph classification D Yang, G Ren, R Ni, YH Huang, NFD Lam, H Sun, SBN Wan, MFE Wong, ... Quantitative imaging in medicine and surgery 13 (2), 572, 2022 | 7 | 2022 |
| Generalizability of deep learning in organ-at-risk segmentation: A transfer learning study in cervical brachytherapy R Ni, K Han, B Haibe-Kains, A Rink Radiotherapy and Oncology 197, 110332, 2024 | 4 | 2024 |
| Hierarchical Fuzzy Inference System Quantifiable Rule-Based Diagnosis of Radiation Dermatitis with Linguistically Refined Features-Driven Optimization T Zhou, Y Zhou, J Cao, W Yan, M Yang, Z Wang, R Ni, S Lam, Y Zhang, ... HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES 15, 2025 | | 2025 |
| Multi-Modal HR-CTV Segmentation: Leveraging a Large Language Model in Cervical Brachytherapy R Ni, A Fyles, B Haibe-Kains, A Rink AAPM 66th Annual Meeting & Exhibition, 2024 | | 2024 |
| OC-0131 Deep learning-based segmentation in cervical HDR brachytherapy with two types of applicators R Ni, K Han, B Haibe-Kains, A Rink Radiotherapy and Oncology 182, S93-S94, 2023 | | 2023 |
| OC-0132 Near-to-target-aware OARs segmentation in cervical HDR brachytherapy via deep learning R Ni, B Haibe-Kains, A Rink Radiotherapy and Oncology 182, S94-S95, 2023 | | 2023 |
| Deep Learning-Based Automatic Segmentation Framework for Targets and OARs in Cervical High Dose Rate (HDR) Brachytherapy R Ni, S Kim, B Haibe-Kains, A Rink MEDICAL PHYSICS 49 (6), E392-E392, 2022 | | 2022 |
| Near-to-target organs-at-risk segmentation in cervical high dose-rate brachytherapy via deep learning R Ni, E Chuk, K Han, J Croke, A Fyles, J Lukovic, M Milosevic, ... | | |
| Ultra-quality 4D-MRI synthesis using deep learning-based deformable image registration H Xiao, T Li, J Zhang, R Ni, G Ren, Y Zhang, W Liu, W Wang, H Wu, V Lee, ... | | |
