Xiaomeng Li
Orcid: 0000-0003-1105-8083Affiliations:
- The Hong Kong University of Science and Technology
- Stanford University, Department of Radiation Oncology, Palo Alto, CA, USA (former)
- Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong (PhD 2019)
- Xidian University, Shaanxi, China (former)
According to our database1,
Xiaomeng Li
authored at least 75 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE J. Biomed. Health Informatics, April, 2024
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition.
IEEE Trans. Medical Imaging, March, 2024
Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models.
CoRR, 2024
2023
A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images.
Medical Image Anal., December, 2023
Compete to Win: Enhancing Pseudo Labels for Barely-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, November, 2023
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
IEEE Trans. Medical Imaging, June, 2023
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos.
IEEE Trans. Medical Imaging, May, 2023
HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Context-Aware Pseudo-label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
CoRR, 2022
CoRR, 2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.
CoRR, 2022
Enhancing Pseudo Label Quality for Semi-SupervisedDomain-Generalized Medical Image Segmentation.
CoRR, 2022
Semi-supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology Images.
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 Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Medical Imaging, 2021
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation.
IEEE Trans. Medical Imaging, 2021
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Circuits Syst. Video Technol., 2021
Medical Image Anal., 2021
Exploiting Segment-level Semantics for Online Phase Recognition from Surgical Videos.
CoRR, 2021
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation.
CoRR, 2021
CoRR, 2021
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging, 2020
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading.
IEEE Trans. Medical Imaging, 2020
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
Medical Image Anal., 2020
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation.
CoRR, 2019
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes.
IEEE Trans. Medical Imaging, 2018
3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.
Medical Image Anal., 2018
Feature-preserving ultrasound speckle reduction via <i>L</i><sub>0</sub> minimization.
Neurocomputing, 2018
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model.
Proceedings of the British Machine Vision Conference 2018, 2018
2017
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes.
CoRR, 2017
2016
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2016
Proceedings of the Computer Vision - ACCV 2016, 2016