| DeepMTS: deep multi-task learning for survival prediction in patients with advanced nasopharyngeal carcinoma using pretreatment PET/CT M Meng, B Gu, L Bi, S Song, DD Feng, J Kim IEEE Journal of Biomedical and Health Informatics 26 (9), 4497 - 4507, 2022 | 28 | 2022 |
| 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 | 23 | 2022 |
| Multi-task deep learning for joint tumor segmentation and outcome prediction in head and neck cancer M Meng, Y Peng, L Bi, J Kim Head and Neck Tumor Segmentation and Outcome Prediction (HECKTOR 2021), 160-167, 2021 | 14 | 2021 |
| High-parallelism inception-like spiking neural networks for unsupervised feature learning M Meng, X Yang, L Bi, J Kim, S Xiao, Z Yu Neurocomputing 441, 92-104, 2021 | 14 | 2021 |
| Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks M Meng, X Yang, S Xiao, Z Yu International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 14 | 2020 |
| Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics B Gu*, M Meng*, L Bi, J Kim, DD Feng, S Song Frontiers in Oncology 12, 899352, 2022 | 13 | 2022 |
| Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning M Meng, L Bi, D Feng, J Kim International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 12 | 2022 |
| Enhancing medical image registration via appearance adjustment networks M Meng, L Bi, M Fulham, DD Feng, J Kim NeuroImage 259, 119444, 2022 | 11 | 2022 |
| Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer M Meng, L Bi, D Feng, J Kim Head and Neck Tumor Segmentation and Outcome Prediction (HECKTOR 2022), 135-143, 2022 | 9 | 2022 |
| High-quality Panorama Stitching based on Asymmetric Bidirectional Optical Flow M Meng, S Liu International Conference on Computational Intelligence and Applications …, 2020 | 8 | 2020 |
| Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision M Meng, L Bi, D Feng, J Kim International MICCAI Brainlesion Workshop (BrainLes 2022), 273–282, 2022 | 4 | 2022 |
| Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration M Meng, L Bi, M Fulham, D Feng, J Kim International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer M Meng, L Bi, M Fulham, D Feng, J Kim International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs X Yang, M Meng, S Xiao, Z Yu International Conference on Pattern Recognition (ICPR), 6417-6424, 2021 | 2 | 2021 |
| AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration M Meng, M Fulham, D Feng, L Bi, J Kim arXiv preprint arXiv:2309.05271, 2023 | 1 | 2023 |
| Dual-modal Dynamic Traceback Learning for Medical Report Generation S Ye, M Meng, M Li, D Feng, J Kim arXiv preprint arXiv:2401.13267, 2024 | | 2024 |
| Enhancing medical vision-language contrastive learning via inter-matching relation modelling M Li, M Meng, M Fulham, DD Feng, L Bi, J Kim arXiv preprint arXiv:2401.10501, 2024 | | 2024 |
| Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation S Ye, M Meng, DD Feng, J Kim 2023 International Conference on Digital Image Computing: Techniques and …, 2023 | | 2023 |
| Full-resolution MLPs Empower Medical Dense Prediction M Meng, Y Xue, D Feng, L Bi, J Kim arXiv preprint arXiv:2311.16707, 2023 | | 2023 |
| Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma B Gu*, M Meng*, M Xu*, DD Feng, L Bi, J Kim, S Song European Journal of Nuclear Medicine and Molecular Imaging 50, 3996-4009, 2023 | | 2023 |
Jinman KimSchool of Computer Science, University of Sydney在 sydney.edu.au 的电子邮件经过验证
