Wang, Hongzhi

Multi-Atlas Segmentation with Joint Label Fusion

Wang, H., Suh, J. W., Das, S. R., Pluta, J. B., Craige, C., & Yushkevich, P. A. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 796

Multi-atlas segmentation with joint label fusion and corrective learning—an open source implementation

Wang, H., & Yushkevich, P. A. (2013) · Frontiers in Neuroinformatics

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 218

A learning-based wrapper method to correct systematic errors in automatic image segmentation: Consistently improved performance in hippocampus, cortex and brain segmentation

Wang, H., Das, S. R., Suh, J. W., Altinay, M., Pluta, J., Craige, C., Avants, B., & Yushkevich, P. A. (2011) · NeuroImage

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 177

Assessing atrophy measurement techniques in dementia: results from the MIRIAD atrophy challenge

Cash, D. M., Frost, C., Iheme, L. O., Ünay, D., Kandemir, M., Fripp, J., Salvado, O., Bourgeat, P., Reuter, M., Fischl, B., et al. (2015) · NeuroImage

Dementia and Cognitive Impairment ResearchMedical Image Segmentation Techniques

Cited by 72

ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework

Wang, C., Chen, X., Wang, J., & Wang, H. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Privacy-Preserving Technologies in DataAdvanced Neural Network Applications

Cited by 45

IoT data cleaning techniques: A survey

Ding, X., Wang, H., Li, G., Li, H., Li, Y., & Liu, Y. (2022) · Intelligent and Converged Networks

Data Quality and ManagementTime Series Analysis and Forecasting

Cited by 35