Zongwei Zhou
28 papers · 2017–2026 · 11 conferences · across top CS/AI conferences
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Conferences
CVPR (7)
ICCV (6)
MICCAI (3)
MIDL (3)
ICLR (2)
NIPS (2)
AAAI (1)
ECCV (1)
ICML (1)
JMLR (1)
WACV (1)
Top co-authors
Research topics
Keywords
medical imaging
(8)
computed tomography
(6)
active learning
(3)
domain generalization
(3)
medical image segmentation
(3)
diffusion model
(2)
ct scan
(2)
semi-supervised learning
(2)
annotation efficiency
(2)
semantic segmentation
(2)
image segmentation
(2)
medical image synthesis
(2)
transfer learning
(2)
synthetic datum
(2)
chest x-ray
(2)
tumor segmentation
(2)
anomaly detection
(1)
benchmark evaluation
(1)
image generation
(1)
3d reconstruction
(1)
Papers
RayD3D: Distilling Depth Knowledge Along the Ray for Robust Multi-View 3D Object Detection
AAAI 2026
CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization
MIDL 2026
MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs
ICCV 2025
Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data
ICCV 2025
RadGPT: Constructing 3D Image-Text Tumor Datasets
ICCV 2025
Medical World Model
ICCV 2025
Learning Segmentation from Radiology Reports
MICCAI 2025
Structure-Aware Sparse-View X-ray 3D Reconstruction
CVPR 2024
Towards Generalizable Tumor Synthesis
CVPR 2024
Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis
ECCV 2024
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
ICLR 2024
Embracing Massive Medical Data
MICCAI 2024
From Pixel to Cancer: Cellular Automata in Computed Tomography
MICCAI 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
Delving Into Masked Autoencoders for Multi-Label Thorax Disease Classification
WACV 2023
Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline
CVPR 2023
Label-Free Liver Tumor Segmentation
CVPR 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
ICCV 2023
Making Your First Choice: To Address Cold Start Problem in Medical Active Learning
MIDL 2023
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
NIPS 2023
Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks
ICLR 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
CVPR 2023
Learning From Temporal Gradient for Semi-Supervised Action Recognition
CVPR 2022
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
ICML 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