most citedA Large Open Access Dataset of Brain Metastasis 3D Segmentations with Clinical and Imaging Feature Information

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025

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…

q-bio.QM2025

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…

eess.IV20251 cited

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis

Florian Kofler, Marcel Rosier, Mehdi Astaraki +34

The Brain Tumor Segmentation (BraTS) cluster of challenges has significantly advanced brain tumor image analysis by providing large, curated datasets and addressing clinically rele…

q-bio.QM20232 cited

A Large Open Access Dataset of Brain Metastasis 3D Segmentations with Clinical and Imaging Feature Information

Divya Ramakrishnan, Leon Jekel, Saahil Chadha +19

Resection and whole brain radiotherapy (WBRT) are the standards of care for the treatment of patients with brain metastases (BM) but are often associated with cognitive side effect…