most citedMRI-based Head and Neck Tumor Segmentation Using nnU-Net with 15-fold Cross-Validation Ensemble

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

physics.med-ph2024★ 1 cited

MRI-based Head and Neck Tumor Segmentation Using nnU-Net with 15-fold Cross-Validation Ensemble

Frank N. Mol, Luuk van der Hoek, Baoqiang Ma +6

The superior soft tissue differentiation provided by MRI may enable more accurate tumor segmentation compared to CT and PET, potentially enhancing adaptive radiotherapy treatment p…

cs.HC2023

DASS Good: Explainable Data Mining of Spatial Cohort Data

Andrew Wentzel, Carla Floricel, Guadalupe Canahuate +5

Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose distributions across adjacent org…