Donghuan Lu
8 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (8) π Conference Polyglot (5) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer
π
Interdisciplinary Bridge
π₯
Unstoppable
(6)
π
Conference Pioneer
Conferences
MICCAI (3)
ECCV (2)
AAAI (1)
ICCV (1)
MIDL (1)
Top co-authors
Keywords
active learning
(1)
semantic segmentation
(1)
self-supervised learning
(1)
unsupervised domain adaptation
(1)
magnetic resonance imaging
(1)
multimodal representation learning
(1)
masked autoencoder
(1)
missing modality
(1)
brain tumor segmentation
(1)
cascaded network
(1)
missing modalities
(1)
optical coherence tomography
(1)
multimodal mri
(1)
retinal layer segmentation
(1)
fluid segmentation
(1)
self distillation
(1)
modal dropout
(1)
multi-anchor clustering
(1)
Papers
Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models
MICCAI 2025
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
MICCAI 2024
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
MICCAI 2024
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
AAAI 2023
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
ECCV 2022
Multi-Anchor Active Domain Adaptation for Semantic Segmentation
ICCV 2021
Deep Image Clustering with Category-Style Representation
ECCV 2020
Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map
MIDL 2020