Zongwei Zhou

Zongwei Zhou

Arizona State University

H-index: 18

North America-United States

About Zongwei Zhou

Zongwei Zhou, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of Biomedical Informatics, Imaging Informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient 3D Representation Learning for Medical Image Analysis

Ultra-TransUNet: ultrasound segmentation framework with spatial-temporal context feature fusion

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images

Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis

Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?

Towards Generalizable Tumor Synthesis

Structure-aware sparse-view x-ray 3d reconstruction

How Well Do Supervised Models Transfer to 3D Image Segmentation?

Zongwei Zhou Information

University

Position

Postdoctoral Researcher, Johns Hopkins University

Citations(all)

9472

Citations(since 2020)

9369

Cited By

1463

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

24

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Zongwei Zhou Skills & Research Interests

Biomedical Informatics

Imaging Informatics

Top articles of Zongwei Zhou

Efficient 3D Representation Learning for Medical Image Analysis

2024/4/1

Ultra-TransUNet: ultrasound segmentation framework with spatial-temporal context feature fusion

2024/4/1

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

2024/3/13

Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis

arXiv preprint arXiv:2403.04116

2024/3/7

Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?

2024/2/29

Structure-aware sparse-view x-ray 3d reconstruction

2024/2/29

How Well Do Supervised Models Transfer to 3D Image Segmentation?

2024/1/15

Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism

Medical image analysis

2024/1/1

Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis

2023/8/6

Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

2023/5/25

MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging

2023/5/25

Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline

2023/3/27

Label-Free Liver Tumor Segmentation

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

2023/3/27

SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection

2023/3/27

Label-Assemble: Leveraging Multiple Datasets with Partial Labels

2023/1/22

Making your first choice: to address cold start problem in medical active learning

2023

Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks

2023/1

See List of Professors in Zongwei Zhou University(Arizona State University)

Co-Authors

academic-engine