Author profile
Duke University
Glioblastoma has a low median survival of 3cm from the tumor, where deformation is minimal. Vessels 80% of patients. Future work will incorporate this pathway into a full front-to-end deformable registration approach to precisely determine the origin of recur...
To propose a federated learning (FL) framework incorporating a novel deep ensemble strategy for multi-institutional brain metastasis (BM) segmentation, improving performance in limited local datasets while preserving privacy by avoiding large-scale data trans...
Low grade diffuse gliomas are slow-growing tumors that must be monitored longitudinally to detect progression to more aggressive higher-grade disease. However, the slow growth of these tumors can make it difficult for radiologists to appreciate subtle tumor c...
To develop and evaluate a federated learning (FL) framework for brain metastasis (BM) segmentation that integrates an uncertainty score into a novel FL objective, improving segmentation robustness and potentially performance when training on limited-size data...
To evaluate whether a federated learning (FL) scheme that leverages adult glioma patient data improves multi-parametric MRI (mp-MRI) based pediatric glioma segmentation.