Xiaosong Wang
16 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (8) πΊοΈ Taxonomy Completionist (32)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Keyword Champion
(3)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(76)
π
Century Club
(16)
π
Conference Pioneer
Conferences
CVPR (6)
MICCAI (4)
ICCV (2)
AAAI (1)
ECCV (1)
MIDL (1)
WACV (1)
Top co-authors
Keywords
medical imaging
(6)
medical image analysis
(3)
self-supervised learning
(2)
chest x-ray
(2)
disease classification
(2)
foundation model
(2)
medical image
(2)
image generation
(1)
metric learning
(1)
contrastive learning
(1)
attention mechanism
(1)
image captioning
(1)
multi-label classification
(1)
privacy preservation
(1)
lesion segmentation
(1)
image segmentation
(1)
medical image classification
(1)
noisy label learning
(1)
neural architecture search
(1)
multi-modal learning
(1)
Papers
Semantic versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification
ICCV 2025
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
Towards All-in-One Medical Image Re-Identification
CVPR 2025
Multi-modal Vision Pre-training for Medical Image Analysis
CVPR 2025
CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs
MICCAI 2025
Learning Quality Labels for Robust Image Classification
WACV 2024
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations
MICCAI 2024
BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders
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
When Radiology Report Generation Meets Knowledge Graph
AAAI 2020
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network
MIDL 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