Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network. - Jeffrey D. Rudie; David A. Weiss; Rachit Saluja; Andreas M. Rauschecker; Jiancong Wang; Leo Sugrue; Spyridon Bakas; John B. Colby (Frontiers Comput. Neurosci., 2019)

The University of California San Francisco, Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. - Jeffrey D. Rudie; Rachit Saluja; David A. Weiss; Pierre Nedelec; Evan Calabrese; John B. Colby; Benjamin Laguna; John Mongan; Steve Braunstein; Christopher Paul Hess; Andreas M. Rauschecker; Leo P. Sugrue; et al. (CoRR, 2023)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability. - Reza Eghbali; Pierre Nedelec; David A. Weiss; Radhika Bhalerao; Long Xie; Jeffrey D. Rudie; Chunlei Liu 004; Leo P. Sugrue; Andreas M. Rauschecker (Neuroinformatics, 2025)

Optimization of MR-Guided Focused Ultrasound System: Comparative Study of Water Bolus and Electrically Optimized Material Using Automated Machine Learning. - Eunwoo Lee; Taewoo Nam; Daniel Hernández 012; Eugene Ozhinsky; Kazim Narsinh; Leo Sugrue; Yeji Han; Kisoo Kim; Kyoung-Nam Kim (Int. J. Imaging Syst. Technol., 2025)