Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. - Sanvesh Srivastava; Wenyi Wang 001; Pascal O. Zinn; Rivka R. Colen; Veerabhadran Baladandayuthapani (GENSiPS, 2012)

Manual Refinement System for Graph-Based Segmentation Results in the Medical Domain. - Jan Egger; Rivka R. Colen; Bernd Freisleben; Christopher Nimsky (J. Medical Syst., 2012)

Brain tumor identification using Gaussian Mixture Model features and Decision Trees classifier. - Ahmad Chaddad; Pascal O. Zinn; Rivka R. Colen (CISS, 2014)

Quantitative texture analysis for Glioblastoma phenotypes discrimination. - Ahmad Chaddad; Pascal O. Zinn; Rivka R. Colen (CoDIT, 2014)

Survival analysis of pre-operative GBM patients by using quantitative image features. - Pattana Wangaryattawanich; Jixin Wang; Ginu A. Thomas; Ahmad Chaddad; Pascal O. Zinn; Rivka R. Colen (CoDIT, 2014)

Radiomics texture feature extraction for characterizing GBM phenotypes using GLCM. - Ahmad Chaddad; Pascal O. Zinn; Rivka R. Colen (ISBI, 2015)

Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma. - Vasileios G. Kanas; Evangelia I. Zacharaki; Ginu A. Thomas; Pascal O. Zinn; Vasileios Megalooikonomou; Rivka R. Colen (Comput. Methods Programs Biomed., 2017)

Corrigendum to "Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models". - Ahmad Chaddad; Markus Luedi; Pascal O. Zinn; Rivka R. Colen (Int. J. Biomed. Imaging, 2017)

FGWAS: Functional genome wide association analysis. - Chao Huang 005; Paul M. Thompson; Yalin Wang 001; Yang Yu 053; Jingwen Zhang; Dehan Kong; Rivka R. Colen; Rebecca C. Knickmeyer; Hongtu Zhu; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2017)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

The Federated Tumor Segmentation (FeTS) Challenge. - Sarthak Pati; Ujjwal Baid; Maximilian Zenk; Brandon Edwards; Micah J. Sheller; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Jason Martin; Shadi Albarqouni; Yong Chen 016; Russell Taki Shinohara; et al. (CoRR, 2021)

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. - Ujjwal Baid; Satyam Ghodasara; Michel Bilello; Suyash Mohan; Evan Calabrese; Errol Colak; Keyvan Farahani; Jayashree Kalpathy-Cramer; Felipe C. Kitamura; Sarthak Pati; Luciano M. Prevedello; Jeffrey D. Rudie; et al. (CoRR, 2021)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)