Can Zhao
14 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (5) π Conference Polyglot (6) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (23)
πΊοΈ
Taxonomy Completionist
(23)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Mega-Team
(24)
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
ποΈ
Keyword Collector
(50)
π₯
Unstoppable
(5)
π
Century Club
(12)
π
Conference Pioneer
Conferences
CVPR (5)
AAAI (2)
MIDL (2)
WACV (2)
ECCV (1)
ICCV (1)
MICCAI (1)
Top co-authors
Keywords
medical imaging
(3)
medical image segmentation
(3)
semi-supervised learning
(2)
federated learning
(2)
3d segmentation
(2)
contrastive learning
(2)
latent diffusion model
(2)
image generation
(1)
image reconstruction
(1)
few-shot learning
(1)
knowledge graph
(1)
neural architecture search
(1)
information extraction
(1)
model aggregation
(1)
communication efficiency
(1)
image restoration
(1)
fourier transform
(1)
domain knowledge
(1)
deep learning
(1)
domain generalization
(1)
Papers
MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
AAAI 2026
NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
AAAI 2026
MAISI: Medical AI for Synthetic Imaging
WACV 2025
VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
CVPR 2025
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
CVPR 2025
Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion
MICCAI 2024
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
MIDL 2024
IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction
WACV 2024
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction
MIDL 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation
CVPR 2023
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
ICCV 2023
Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation
CVPR 2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation
ECCV 2022
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation
CVPR 2021