Mengkang Lu
Orcid: 0009-0003-5679-1761
According to our database1,
Mengkang Lu authored at least 22 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
Deformable Medical Image Registration With Effective Anatomical Structure Representation and Divide-and-Conquer Network.
IEEE J. Biomed. Health Informatics, June, 2026
PAINT: Pathology-Aware Integrated Next-Scale Transformation for Virtual Immunohistochemistry.
CoRR, January, 2026
Decoupling Target Semantics via Text-Anchored Visual Contrast for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Image Process., 2026
A variational Bayesian algorithm for probabilistic affine and non-rigid point cloud registration.
Pattern Recognit., 2026
Improving multiple instance contrastive learning via sparse transformer for whole slide image classification.
Biomed. Signal Process. Control., 2026
2025
IEEE J. Biomed. Health Informatics, December, 2025
IEEE Trans. Medical Imaging, November, 2025
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, July, 2025
Consistency-Guided Differential Decoding for Enhancing Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, January, 2025
ATEC23 Challenge: Automated prediction of treatment effectiveness in ovarian cancer using histopathological images.
Medical Image Anal., 2025
Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025
2024
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
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution.
IEEE Trans. Medical Imaging, September, 2023
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation.
CoRR, 2023
Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion.
CoRR, 2022
$\mathrm {M^{2}F}$: A Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022
2021
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
2020
Adaptive soft subspace clustering combining within-cluster and between-cluster information.
J. Intell. Fuzzy Syst., 2020
2018
Proceedings of the 2nd International Conference on Vision, Image and Signal Processing, 2018