Radiogenomic analysis of hypoxia pathway is predictive of overall survival in GlioblastomaNiha Beig, Pallavi Tiwari, Jay Patel et al.|Scientific Reports|2018Cited by 155
Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumorsJian Peng, Harrison X. Bai, Chengzhang Zhu et al.|Neuro-Oncology|2021Cited by 77
Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with RuptureMichael A. Silva, Nirav J. Patel, Jay Patel et al.|World Neurosurgery|2019Cited by 69
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking ResultsRaghav Mehta, Elizabeth R. Gerstner, Angelos Filos et al.|The Journal of Machine Learning for Biomedical Imaging|2022Cited by 56
Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of GlioblastomaKatharina Hoebel, Jayashree Kalpathy–Cramer, Jay Patel et al.|Radiology Artificial Intelligence|2020Cited by 54