| The autopet challenge: towards fully automated lesion segmentation in oncologic pet/ct imaging S Gatidis, M Früh, M Fabritius, S Gu, K Nikolaou, C La Fougère, J Ye, J He, ... | 33 | 2023 |
| Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies Y Peng, L Bi, Y Guo, D Feng, M Fulham, J Kim 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 30 | 2019 |
| Multi-modality information fusion for radiomics-based neural architecture search Y Peng, L Bi, M Fulham, D Feng, J Kim Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 16 | 2020 |
| Multi-task deep learning for joint tumor segmentation and outcome prediction in head and neck cancer M Meng, Y Peng, L Bi, J Kim 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 160-167, 2021 | 14 | 2021 |
| Automatic tumor segmentation via false positive reduction network for whole-body multi-modal PET/CT images Y Peng, J Kim, D Feng, L Bi arXiv preprint arXiv:2209.07705, 2022 | 7 | 2022 |
| Predicting distant metastases in soft-tissue sarcomas from PET-CT scans using constrained hierarchical multi-modality feature learning Y Peng, L Bi, A Kumar, M Fulham, D Feng, J Kim Physics in Medicine & Biology 66 (24), 245004, 2021 | 5 | 2021 |
| CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images Y Xue, Y Peng, L Bi, D Feng, J Kim 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 2 | 2023 |
| PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network Y Xue, L Bi, Y Peng, M Fulham, DD Feng, J Kim IEEE Transactions on Radiation and Plasma Medical Sciences, 2023 | 1 | 2023 |
| Deep Learning-based Radiomics Framework for Multi-Modality PET-CT Images Y Peng | | 2023 |
Jinman KimSchool of Computer Science, University of Sydney在 sydney.edu.au 的电子邮件经过验证
