Yucheng Tang
15 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (6) π§ Keyword Pioneer
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Mega-Team
(53)
π
Keyword Champion
(2)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(13)
ποΈ
Keyword Collector
(50)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
CVPR (4)
ICCV (2)
MICCAI (2)
MIDL (2)
NIPS (2)
WACV (2)
AAAI (1)
Top co-authors
Keywords
medical imaging
(6)
computed tomography
(4)
semantic segmentation
(3)
medical image segmentation
(2)
multi-organ segmentation
(2)
3d segmentation
(2)
anatomical structure
(2)
latent diffusion model
(2)
medical image synthesis
(2)
transfer learning
(2)
image generation
(1)
out-of-distribution generalization
(1)
domain knowledge
(1)
diffusion model
(1)
benchmark evaluation
(1)
zero-shot learning
(1)
instruction fine-tuning
(1)
self-supervised learning
(1)
image segmentation
(1)
graph attention network
(1)
Papers
MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
AAAI 2026
MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics
MIDL 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
MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs
ICCV 2025
Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications
MICCAI 2025
MAISI: Medical AI for Synthetic Imaging
WACV 2025
PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation
CVPR 2024
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis
MICCAI 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
MIDL 2024
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
ICCV 2023
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
NIPS 2023
UNETR: Transformers for 3D Medical Image Segmentation
WACV 2022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
CVPR 2022