Chiharu Sako

Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset.

Ruchika Verma, Pallavi Tiwari, Michel Bilello, 2020, Medical physics.

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

Christos Davatzikos, Spyridon Bakas, Uday Kulkarni, 2019, BrainLes@MICCAI.

Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols

Christos Davatzikos, Michel Bilello, Russell T. Shinohara, 2020, Medical Imaging: Image-Guided Procedures.

Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities

Christos Davatzikos, Michel Bilello, Gaurav Shukla, 2020, Journal of medical imaging.

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

Spyridon Bakas, Michel Bilello, Saima Rathore, 2020, NeuroImage.

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification pdf

Christos Davatzikos, Russell T. Shinohara, Spyridon Bakas, 2021, ArXiv.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results pdf

Christos Davatzikos, Gowtham Krishnan Murugesan, Chandan Ganesh, 2021, ArXiv.

AI-based Prognostic Imaging Biomarkers for Precision Neurooncology: the ReSPOND Consortium.

Christos Davatzikos, Spyridon Bakas, Adam P Dicker, 2020, Neuro-oncology.

Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma

Christos Davatzikos, Spyridon Bakas, Ashutosh Kumar Singh, 2020, JCO clinical cancer informatics.