Zongwei Zhou
28 papers · 2017–2026 · 11 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (45) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Deep Specialist
(11)
π€
Dynamic Duo
(15)
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Topic Evolution
π
Grand Slam
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Keyword Champion
(6)
π₯
Mega-Team Β· Legion
β‘
Prolific Year Β· Productive
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Unstoppable Β· Bronze
β
The Questioner
(3)
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Century Club Β· Bronze
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Conference Pioneer
ποΈ
Keyword Collector
(111)
Venues
Top co-authors
Research topics
Keywords
medical imaging
(9)
computed tomography
(6)
active learning
(3)
domain generalization
(3)
medical image segmentation
(3)
transfer learning
(3)
ct scan
(2)
tumor segmentation
(2)
diffusion model
(2)
anatomical structure
(2)
image segmentation
(2)
semantic segmentation
(2)
annotation efficiency
(2)
synthetic data
(2)
chest x-ray
(2)
medical image synthesis
(2)
semi-supervised learning
(2)
anomaly detection
(1)
benchmark evaluation
(1)
image generation
(1)
Papers
CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization
MIDL 2026
RayD3D: Distilling Depth Knowledge Along the Ray for Robust Multi-View 3D Object Detection
AAAI 2026
Learning Segmentation from Radiology Reports
MICCAI 2025
Medical World Model
ICCV 2025
MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs
ICCV 2025
RadGPT: Constructing 3D Image-Text Tumor Datasets
ICCV 2025
Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data
ICCV 2025
Embracing Massive Medical Data
MICCAI 2024
From Pixel to Cancer: Cellular Automata in Computed Tomography
MICCAI 2024
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
ICLR 2024
Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis
ECCV 2024
Structure-Aware Sparse-View X-ray 3D Reconstruction
CVPR 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NeurIPS 2024
Towards Generalizable Tumor Synthesis
CVPR 2024
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
NeurIPS 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
ICCV 2023
Delving Into Masked Autoencoders for Multi-Label Thorax Disease Classification
WACV 2023
Label-Free Liver Tumor Segmentation
CVPR 2023
Making Your First Choice: To Address Cold Start Problem in Medical Active Learning
MIDL 2023
Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline
CVPR 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
CVPR 2023
Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks
ICLR 2023
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
ICML 2022
Learning From Temporal Gradient for Semi-Supervised Action Recognition
CVPR 2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
MIDL 2022
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
ICCV 2019
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally
CVPR 2017