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 | 318 | 2014 |
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 | 282 | 2015 |
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 | 70 | 2014 |
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 | 53 | 2017 |
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 | 40 | 2013 |
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 | 37 | 2018 |
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 | 33 | 2016 |
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 | 21 | 2016 |
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 | 18 | 2012 |
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 | 16 | 2011 |
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 | 10 | 2017 |
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 | 5 | 2018 |
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 | 1 | 2017 |
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 | 1 | 2015 |
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 | 1 | 2014 |
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 |