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Tiffany Ting Liu
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MRI surrogates for molecular subgroups of medulloblastoma
S Perreault, V Ramaswamy, AS Achrol, K Chao, TT Liu, D Shih, M Remke, ...
American Journal of Neuroradiology 35 (7), 1263-1269, 2014
3142014
Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities
H Itakura, AS Achrol, LA Mitchell, JJ Loya, T Liu, EM Westbroek, ...
Science translational medicine 7 (303), 303ra138-303ra138, 2015
2782015
Errors in quantitative image analysis due to platform-dependent image scaling
TL Chenevert, DI Malyarenko, D Newitt, X Li, M Jayatilake, A Tudorica, ...
Translational oncology 7 (1), 65-71, 2014
702014
Magnetic resonance perfusion image features uncover an angiogenic subgroup of glioblastoma patients with poor survival and better response to antiangiogenic treatment
TT Liu, AS Achrol, LA Mitchell, SA Rodriguez, A Feroze, M Iv, C Kim, ...
Neuro-oncology 19 (7), 997-1007, 2017
532017
Quantitative imaging biomarker ontology (QIBO) for knowledge representation of biomedical imaging biomarkers
AJ Buckler, M Ouellette, J Danagoulian, G Wernsing, TT Liu, E Savig, ...
Journal of digital imaging 26, 630-641, 2013
402013
Identification of usual interstitial pneumonia pattern using RNA-Seq and machine learning: challenges and solutions
Y Choi, TT Liu, DG Pankratz, TV Colby, NM Barth, DA Lynch, PS Walsh, ...
BMC genomics 19, 147-159, 2018
372018
Computational identification of tumor anatomic location associated with survival in 2 large cohorts of human primary glioblastomas
TT Liu, AS Achrol, LA Mitchell, WA Du, JJ Loya, SA Rodriguez, A Feroze, ...
American Journal of Neuroradiology 37 (4), 621-628, 2016
332016
Multiple subsets of brain tumor initiating cells coexist in glioblastoma
RC Rennert, AS Achrol, M Januszyk, SA Kahn, TT Liu, Y Liu, D Sahoo, ...
Stem Cells 34 (6), 1702-1707, 2016
212016
Automatic annotation of radiological observations in liver CT images
F Gimenez, J Xu, Y Liu, T Liu, C Beaulieu, D Rubin, S Napel
AMIA Annual Symposium Proceedings 2012, 257, 2012
182012
On the feasibility of predicting radiological observations from computational imaging features of liver lesions in CT scans
F Gimenez, J Xu, Y Liu, TT Liu, CF Beaulieu, DL Rubin, S Napel
2011 IEEE First International Conference on Healthcare Informatics, Imaging …, 2011
162011
Revealing cancer subtypes with higher-order correlations applied to imaging and omics data
K Graim, TT Liu, AS Achrol, EO Paull, Y Newton, SD Chang, GR Harsh, ...
BMC medical genomics 10, 1-14, 2017
102017
Methods of identifying glioblastoma patients as susceptible to anti-angiogenic therapy using quantitative imaging features and molecular profiling
T Liu, DL Rubin
US Patent App. 15/821,703, 2018
42018
Nimg-27. glioblastoma tumor segmentation using deep convolutional neural networks
TT Liu, A Achrol, D Rubin, S Chang
Neuro-oncology 19 (Suppl 6), vi147, 2017
12017
123 Quantitative Volumetric Magnetic Resonance Perfusion Identifies a Distinct Vasculogenic Molecular Subtype of Human Glioblastoma Associated With Worse Clinical Outcomes
AS Achrol, T Liu, LA Mitchell, JJ Loya, EM Westbroek, S Rodriguez, ...
Neurosurgery 62, 204-205, 2015
12015
Errors in quantitative image analysis due to platform-dependent image scaling (vol 7, pg 65, 2014)
TL Chenevert, DI Malyarenko, D Newitt, X Li, M Jayatilake, A Tudorica, ...
TRANSLATIONAL ONCOLOGY 7 (4), 523-523, 2014
12014
Deep Learning Approaches Substantially Improve Automated Extraction of Information from Free-Text Medical Reports
TT Liu
Radiology: Artificial Intelligence 1 (5), e190118, 2019
2019
Integrated Analysis Using Molecular-Scale and Imaging-Scale Data to Identify Prognostic Subgroups in Glioblastoma
TT Liu
Stanford University, 2015
2015
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