Image‐derived, three‐dimensional generative models of cellular organization T Peng, RF Murphy Cytometry Part A 79 (5), 383-391, 2011 | 72 | 2011 |
Quantifying the distribution of probes between subcellular locations using unsupervised pattern unmixing LP Coelho, T Peng, RF Murphy Bioinformatics 26 (12), i7-i12, 2010 | 55 | 2010 |
Determining the distribution of probes between different subcellular locations through automated unmixing of subcellular patterns T Peng, GMC Bonamy, E Glory-Afshar, DR Rines, SK Chanda, RF Murphy Proceedings of the National Academy of Sciences 107 (7), 2944-2949, 2010 | 53 | 2010 |
Instance-based generative biological shape modeling T Peng, W Wang, GK Rohde, RF Murphy 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009 | 29 | 2009 |
Deformation-based nonlinear dimension reduction: Applications to nuclear morphometry GK Rohde, W Wang, T Peng, RF Murphy 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008 | 25 | 2008 |
A graph-based method for detecting characteristic phenotypes from biomedical images W Wang, C Chen, T Peng, D Slepčev, JA Ozolek, GK Rohde 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2010 | 4 | 2010 |
Image-derived Generative Models for Three-dimensional Cellular Organization T Peng Carnegie Mellon University, 2011 | | 2011 |
Structure preserving semantic coherent object segmentation X Jiang, Q Wu, P Tao, L Sweeney 2010 IEEE International Conference on Image Processing, 2209-2212, 2010 | | 2010 |