Donghuan Lu
8 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (10) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
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
Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map
MIDL 2020
Deep Image Clustering with Category-Style Representation
ECCV 2020