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Tian Mou
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Cited by
Year
Reproducibility of methods to detect differentially expressed genes from single-cell RNA sequencing
T Mou, W Deng, F Gu, Y Pawitan, TN Vu
Frontiers in genetics 10, 486248, 2020
662020
The Gamma characteristic of reconstructed PET images: Implications for ROI analysis
T Mou, J Huang, F O’Sullivan
IEEE transactions on medical imaging 37 (5), 1092-1102, 2017
282017
Water sorption-induced crystallization, structural relaxations and strength analysis of relaxation times in amorphous lactose/whey protein systems
F Fan, T Mou, B Nurhadi, YH Roos
Journal of food engineering 196, 150-158, 2017
222017
Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data
W Deng, T Mou, KR Kalari, N Niu, L Wang, Y Pawitan, TN Vu
Bioinformatics 36 (3), 805-812, 2020
132020
Spatial auto-regressive analysis of correlation in 3-d pet with application to model-based simulation of data
J Huang, T Mou, K O’Regan, F O’Sullivan
IEEE transactions on medical imaging 39 (4), 964-974, 2019
102019
The transcriptome‐wide landscape of molecular subtype‐specific mRNA expression profiles in acute myeloid leukemia
T Mou, Y Pawitan, M Stahl, M Vesterlund, W Deng, R Jafari, A Bohlin, ...
American Journal of hematology 96 (5), 580-588, 2021
92021
Combining structural and textural assessments of volumetric FDG-PET uptake in NSCLC
E Wolsztynski, J O’Sullivan, NM Hughes, T Mou, P Murphy, F O’Sullivan, ...
IEEE transactions on radiation and plasma medical sciences 3 (4), 421-433, 2019
82019
Tumor heterogeneity measurement using [18F] FDG PET/CT shows prognostic value in patients with non-small cell lung cancer
NM Hughes, T Mou, KN O’Regan, P Murphy, JN O’Sullivan, E Wolsztynski, ...
European Journal of Hybrid Imaging 2, 1-9, 2018
82018
Model and texture-based characterizations of intratumoral heterogeneity in FDG-PET imaging of lung cancer
E Wolsztynski, T Mou, K O'Regan, J O'Sullivan, N Hughes, J Huang, ...
Journal of Nuclear Medicine 58 (supplement 1), 148-148, 2017
62017
Prognostic value of tumor heterogeneity evaluated by FDG-PET/CT imaging in lung cancer patients.
NM Hughes, T Mou, KN O'Regan, P Murphy, JN O'Sullivan, E Wolsztynski, ...
Journal of Clinical Oncology 34 (15_suppl), 11564-11564, 2016
62016
Quantification of mutant–allele expression at isoform level in cancer from RNA-seq data
W Deng, T Mou, Y Pawitan, TN Vu
NAR Genomics and Bioinformatics 4 (3), lqac052, 2022
42022
Spatial covariance characteristics in a collection of 3-D PET scanners used in clinical imaging trials
T Mou, J Huang, Y Zhang, B Elston, P Kinahan, M Muzi, A Opanowski, ...
2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2014
42014
An improved statistical approach to the estimation of spatial bias and variability in reconstructed PET data
T Mou, J Huang, Y Zhang, P Kinahan, F O'Sullivan
2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2015
32015
A comprehensive landscape of imaging feature-associated RNA expression profiles in human breast tissue
T Mou, J Liang, TN Vu, M Tian, Y Gao
Sensors 23 (3), 1432, 2023
22023
Prediction model for drug response of acute myeloid leukemia patients
QT Trac, Y Pawitan, T Mou, T Erkers, P Östling, A Bohlin, A Österroos, ...
NPJ Precision Oncology 7 (1), 32, 2023
12023
Spatial auto-regressive analysis of correlation in 3-D PET with
J Huang, T Mou, K O'Regan, F O'Sullivan
2019
Tumor heterogeneity measurement using [18F] FDG PET/CT shows
NM Hughes, T Mou, KN O'Regan, P Murphy
2018
Statistical Analysis of the 3-D Imaging Characteristics of a PET Scanner: More Detailed Processing of Routine Quality Assurance Data.
T Mou, J Huang, F O'Sullivan
Journal of Nuclear Medicine 59 (supplement 1), 1738-1738, 2018
2018
Statistical analysis of positron emission tomography data
T Mou
University College Cork, 2018
2018
The Gamma characteristic of reconstructed PET images: Implications
T Mou, J Huang, F O'Sullivan
2017
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Articles 1–20