Rivka R. Colen
Rivka R. Colen
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Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas
Cancer Genome Atlas Research Network
New England Journal of Medicine 372 (26), 2481-2498, 2015
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
MJ Sheller, B Edwards, GA Reina, J Martin, S Pati, A Kotrotsou, ...
Scientific reports 10 (1), 12598, 2020
The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification
U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ...
arXiv preprint arXiv:2107.02314, 2021
MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set
DA Gutman, LAD Cooper, SN Hwang, CA Holder, JJ Gao, TD Aurora, ...
Radiology 267 (2), 560-569, 2013
Glioblastoma-infiltrated innate immune cells resemble M0 macrophage phenotype
K Gabrusiewicz, B Rodriguez, J Wei, Y Hashimoto, LM Healy, SN Maiti, ...
JCI insight 1 (2), 2016
Radiogenomic mapping of edema/cellular invasion MRI-phenotypes in glioblastoma multiforme
PO Zinn, B Majadan, P Sathyan, SK Singh, S Majumder, FA Jolesz, ...
PloS one 6 (10), e25451, 2011
Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor
R Jain, LM Poisson, D Gutman, L Scarpace, SN Hwang, CA Holder, ...
Radiology 272 (2), 484-493, 2014
Safety, antitumor activity, and immune activation of pegylated recombinant human interleukin-10 (AM0010) in patients with advanced solid tumors
A Naing, KP Papadopoulos, KA Autio, PA Ott, MR Patel, DJ Wong, ...
Journal of Clinical Oncology 34 (29), 3562-3569, 2016
Incidence of immune-related adverse events and its association with treatment outcomes: the MD Anderson Cancer Center experience
T Fujii, RR Colen, MA Bilen, KR Hess, J Hajjar, ME Suarez-Almazor, ...
Investigational new drugs 36, 638-646, 2018
Imaging of liver tumors using surface-enhanced Raman scattering nanoparticles
C Andreou, V Neuschmelting, DF Tschaharganeh, CH Huang, ...
ACS nano 10 (5), 5015-5026, 2016
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
Genomic mapping and survival prediction in glioblastoma: molecular subclassification strengthened by hemodynamic imaging biomarkers
R Jain, L Poisson, J Narang, D Gutman, L Scarpace, SN Hwang, C Holder, ...
Radiology 267 (1), 212-220, 2013
Adenocarcinomas of the esophagus: response to chemoradiotherapy is associated with decrease of metabolic tumor volume as measured on PET–CT: comparison to histopathologic and …
JB Roedl, RR Colen, NS Holalkere, AJ Fischman, NC Choi, MA Blake
Radiotherapy and oncology 89 (3), 278-286, 2008
Neurosurgical applications of MRI guided laser interstitial thermal therapy (LITT)
U Salem, VA Kumar, JE Madewell, DF Schomer, DC de Almeida Bastos, ...
Cancer Imaging 19, 1-13, 2019
Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients
M Nicolasjilwan, Y Hu, C Yan, D Meerzaman, CA Holder, D Gutman, ...
Journal of Neuroradiology 42 (4), 212-221, 2015
Window-of-opportunity clinical trial of pembrolizumab in patients with recurrent glioblastoma reveals predominance of immune-suppressive macrophages
J De Groot, M Penas-Prado, K Alfaro-Munoz, K Hunter, BL Pei, B O’Brien, ...
Neuro-oncology 22 (4), 539-549, 2020
Phase 2 study of pembrolizumab in patients with advanced rare cancers
A Naing, F Meric-Bernstam, B Stephen, DD Karp, J Hajjar, JR Ahnert, ...
Journal for immunotherapy of cancer 8 (1), 2020
Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma
N Elshafeey, A Kotrotsou, A Hassan, N Elshafei, I Hassan, S Ahmed, ...
Nature communications 10 (1), 3170, 2019
Identifying the best machine learning algorithms for brain tumor segmentation
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
progression assessment, and overall survival prediction in the BRATS …, 2018
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