Automatic Detection and Segmentation of Postoperative Cerebellar Damage Based on Normalization

no code implementations • 3 Mar 2022 • Silu Zhang, Stuart McAfee, Zoltan Patay, Matthew Scoggins

In our proposed approach, normal brain tissues are first segmented using a Bayesian algorithm customized for postoperative scans.

A Prior Knowledge Based Tumor and Tumoral Subregion Segmentation Tool for Pediatric Brain Tumors

no code implementations • 30 Sep 2021 • Silu Zhang, Angela Edwards, Shubo Wang, Zoltan Patay, Asim Bag, Matthew A. Scoggins

Because pediatric data is very limited, both labeled and unlabeled, we present a brain tumor segmentation model that is based on knowledge rather than learning from data.

Brain Tumor Segmentation Segmentation +2

Estimating Feature-Label Dependence Using Gini Distance Statistics

1 code implementation • 5 Jun 2019 • Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen

Uniform convergence bounds and asymptotic bounds are derived for the test statistics.

Density Estimation