58 citations · 72 across the 3 of their papers we have counts for
3 papers
eess.IV2021★ 58 cited
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, Ujjwal Baid +89
Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…
eess.IV2020
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
Laura Mora Ballestar, Veronica Vilaplana
Automation of brain tumor segmentation in 3D magnetic resonance images (MRIs) is key to assess the diagnostic and treatment of the disease. In recent years, convolutional neural ne…
eess.IV2020★ 14 cited
Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation
Laura Mora Ballestar, Veronica Vilaplana
Automation of brain tumors in 3D magnetic resonance images (MRIs) is key to assess the diagnostic and treatment of the disease. In recent years, convolutional neural networks (CNNs…