Mengya Xu
Orcid: 0000-0002-4338-7079
According to our database1,
Mengya Xu
authored at least 34 papers
between 2020 and 2024.
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Bibliography
2024
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding.
IEEE Trans Autom. Sci. Eng., July, 2024
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation.
IEEE Trans Autom. Sci. Eng., July, 2024
IEEE Trans. Medical Imaging, June, 2024
AMIFN: Aspect-guided multi-view interactions and fusion network for multimodal aspect-based sentiment analysis.
Neurocomputing, March, 2024
SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation.
CoRR, 2024
CoRR, 2024
An Efficient MLP-based Point-guided Segmentation Network for Ore Images with Ambiguous Boundary.
CoRR, 2024
CoRR, 2024
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.
CoRR, 2024
Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
PitVQA: Image-Grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Medical Image Anal., May, 2023
Task-aware asynchronous multi-task model with class incremental contrastive learning for surgical scene understanding.
Int. J. Comput. Assist. Radiol. Surg., May, 2023
AMagPoseNet: Real-Time Six-DoF Magnet Pose Estimation by Dual-Domain Few-Shot Learning From Prior Model.
IEEE Trans. Ind. Informatics, 2023
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge.
CoRR, 2023
S<sup>2</sup>ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-Supervised Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Rectifying Noisy Labels with Sequential Prior: Multi-scale Temporal Feature Affinity Learning for Robust Video Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis.
IROS, 2023
2022
Rethinking Feature Extraction: Gradient-Based Localized Feature Extraction for End-To-End Surgical Downstream Tasks.
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
2021
Testing the Feasibility of a Multi-Model Fusion Method for Monitoring the Action of Rehabilitating Stroke Patients in Care Management.
IEEE Access, 2021
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Stent Deployment Detection Using Radio Frequency-Based Sensor and Convolutional Neural Networks.
Adv. Intell. Syst., 2020