27 citations · 28 across the 5 of their papers we have counts for
5 papers
Training the next generation of physicians for artificial intelligence-assisted clinical neuroradiology: ASNR MICCAI Brain Tumor Segmentation (BraTS) 2025 Lighthouse Challenge education platform
Raisa Amiruddin, Nikolay Y. Yordanov, Nazanin Maleki +45
High-quality reference standard image data creation by neuroradiology experts for automated clinical tools can be a powerful tool for neuroradiology & artificial intelligence educa…
An 11,000-Study Open-Access Dataset of Longitudinal Magnetic Resonance Images of Brain Metastases
Saahil Chadha, David Weiss, Anastasia Janas +19
Brain metastases are a common complication of systemic cancer, affecting over 20% of patients with primary malignancies. Longitudinal magnetic resonance imaging (MRI) is essential…
Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI
Nazanin Maleki, Raisa Amiruddin, Ahmed W. Moawad +240
Despite continuous advancements in cancer treatment, brain metastatic disease remains a significant complication of primary cancer and is associated with an unfavorable prognosis.…
Application of Novel PACS-based Informatics Platform to Identify Imaging Based Predictors of CDKN2A Allelic Status in Glioblastomas
Niklas Tillmanns, Jan Lost, Joanna Tabor +20
Gliomas with CDKN2A mutations are known to have worse prognosis but imaging features of these gliomas are unknown. Our goal is to identify CDKN2A specific qualitative imaging bioma…
NCI Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation
John Kang, Reid F. Thompson, Sanjay Aneja +5
Artificial intelligence (AI) is about to touch every aspect of radiotherapy from consultation, treatment planning, quality assurance, therapy delivery, to outcomes modeling. There…