1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2022
Learning Population-level Shape Statistics and Anatomy Segmentation From Images: A Joint Deep Learning Model
Wenzheng Tao, Riddhish Bhalodia, Shireen Elhabian
Statistical shape modeling is an essential tool for the quantitative analysis of anatomical populations. Point distribution models (PDMs) represent the anatomical surface via a den…
cs.IR2020★ 1 cited
Review Regularized Neural Collaborative Filtering
Zhimeng Pan, Wenzheng Tao, Qingyao Ai
In recent years, text-aware collaborative filtering methods have been proposed to address essential challenges in recommendations such as data sparsity, cold start problem, and lon…
cs.CV2020★ 1 cited
Unsupervised Shape Normality Metric for Severity Quantification
Wenzheng Tao, Riddhish Bhalodia, Erin Anstadt +3
This work describes an unsupervised method to objectively quantify the abnormality of general anatomical shapes. The severity of an anatomical deformity often serves as a determina…