Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection. - Zhenyu Yang; Kyle J. Lafata; Eugene Vaios; Zongsheng Hu; Trey Mullikin; Fang-Fang Yin; Chunhao Wang (CoRR, 2022)

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; Trey Mullikin; Zachary J. Reitman; Scott Floyd; John Kirkpatrick; Joseph K. Salama; Paul W. Sperduto; Jian-Guo Liu; Mustafa R. Bashir; Kyle J. Lafata (CoRR, 2023)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - Dominic LaBella; Katherine Schumacher; Michael Mix; Kevin Leu; Shan McBurney-Lin; Pierre Nedelec; Javier E. Villanueva-Meyer; Jonathan Shapey; Tom Vercauteren; Kazumi Chia; Omar Al-Salihi; Justin Leu; et al. (CoRR, 2024)