activity
20222024
most citedAnalysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge

7 citations · 11 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 7 cited

Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge

Dominic LaBella, Valeriia Abramova, Mehdi Astaraki +102

The 2024 Brain Tumor Segmentation Meningioma Radiotherapy (BraTS-MEN-RT) challenge aimed to advance automated segmentation algorithms using the largest known multi-institutional da…

cs.LG2023

A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth

Yuqi Wang, Aarzu Gupta, David Carpenter +9

TodevelopanovelUncertaintyQuantification (UQ) framework to estimate the uncertainty of patient survival models in the absence of ground truth, we developed and evaluated our approa…

physics.med-ph2023★ 2 cited

Study of linear energy transfer effect on rib fracture in breast patients receiving pencil-beam-scanning proton therapy

Yunze Yang, Kimberly R. Gergelis, Jiajian Shen +8

Purpose: To study the effect of proton linear energy transfer (LET) on rib fracture in breast cancer patients treated with pencil-beam scanning proton therapy (PBS) using a novel t…

q-bio.QM2022★ 2 cited

Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection

Zhenyu Yang, Kyle Lafata, Eugene Vaios +4

The projection of planar MRI data onto a spherical surface is equivalent to a nonlinear image transformation that retains global anatomical information. By incorporating this image…