Mingyuan Meng
Orcid: 0000-0002-9562-1613
According to our database1,
Mingyuan Meng
authored at least 31 papers
between 2020 and 2025.
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Bibliography
2025
Toward Next-generation Medical Vision Backbones: Modeling Finer-grained Long-range Visual Dependency.
CoRR, September, 2025
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation.
CoRR, July, 2025
Enhancing Medical Vision-Language Contrastive Learning via Inter-Matching Relation Modeling.
IEEE Trans. Medical Imaging, June, 2025
MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering.
CoRR, May, 2025
Pattern Recognit., 2025
2024
Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention.
CoRR, 2024
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments.
CoRR, 2024
CoRR, 2024
SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance.
CoRR, 2024
Enhancing medical vision-language contrastive learning via inter-matching relation modelling.
CoRR, 2024
Enabling Text-Free Inference in Language-Guided Segmentation of Chest X-Rays via Self-guidance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images.
CoRR, 2023
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT.
IEEE J. Biomed. Health Informatics, 2022
NeuroImage, 2022
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning.
Neurocomputing, 2021
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics.
CoRR, 2021
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021
2020
CoRR, 2020
BioSNet: A Fast-Learning and High-Robustness Unsupervised Biomimetic Spiking Neural Network.
CoRR, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020