Xiaosong Wang
17 papers · 2017–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Topic Evolution
π
Keyword Champion
(3)
π§
Keyword Pioneer
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(79)
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Conference Pioneer
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Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(11)
Healthcare & Medicine
(10)
Clinical
(10)
Computer Vision
(9)
Machine Learning
(8)
Domain-Specific
(8)
Learning Types Β· Deep Learning
(6)
Learning Types Β· Machine Learning
(5)
Analysis
(3)
Models
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Architectures
(2)
Core AI
(2)
Core Methods
(2)
Keywords
medical imaging
(7)
medical image analysis
(3)
self-supervised learning
(2)
chest x-ray
(2)
medical image
(2)
multimodal learning
(2)
foundation model
(2)
disease classification
(2)
metric learning
(1)
image segmentation
(1)
contrastive learning
(1)
attention mechanism
(1)
weakly supervised learning
(1)
noisy label learning
(1)
zero-shot learning
(1)
neural architecture search
(1)
privacy preservation
(1)
anomaly detection
(1)
multi-label classification
(1)
image captioning
(1)
Papers
InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-training
CVPR 2026
A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images
MICCAI 2025
Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models
CVPR 2025
CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs
MICCAI 2025
Multi-modal Vision Pre-training for Medical Image Analysis
CVPR 2025
Semantic versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification
ICCV 2025
Towards All-in-One Medical Image Re-Identification
CVPR 2025
BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders
MICCAI 2024
Learning Quality Labels for Robust Image Classification
WACV 2024
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations
MICCAI 2024
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification
ECCV 2024
T-AutoML: Automated Machine Learning for Lesion Segmentation Using Transformers in 3D Medical Imaging
ICCV 2021
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network
MIDL 2020
When Radiology Report Generation Meets Knowledge Graph
AAAI 2020
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
CVPR 2018
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays
CVPR 2018
ChestX-ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
CVPR 2017