Tumor Heterogeneity Research Interactive Visualization Environment


[1] Spagnolo DM, Al-Kofahi Y, Zhu P, Lezon TR, Gough A, Stern AM, Lee AV, Ginty F, Sarachan B, Taylor DL, Chennubhotla SC. Platform for Quantitative Evaluation of Spatial Intratumoral Heterogeneity in Multiplexed Fluorescence Images, Cancer Res November 1 2017 (77) (21) e71-e74; DOI: 10.1158/0008-5472.CAN-17-0676

[2] Spagnolo DM, Gyanchandai R, Al-Kofahi Y, Stern AM, Gough A, Meyer DE, Ginty F, Sarachan B, Fine J, Lee AV, Taylor DL, Chennubhotla SC. (2016). Pointwise mutual information quantifies intra-tumor heterogeneity in tissue sections labeled with multiple fluorescent biomarkers, J. Pathol. Inform. 7(1): 47, doi: 10.4103/2153-3539.194839

[3] Gough A, Stern AM, Maier J, Lezon T, Shun TY, Chennubhotla SC, Schurdak ME, Haney SA, Taylor DL. (2017). Biologically Relevant Heterogeneity: Metrics and Practical Insights, SLAS Discov. Mar;22(3):213-237. doi: 10.1177/2472555216682725. Epub 2017 Jan 6.

[4] Nguyen L, Tosun B, Fine J, Lee A, Taylor DL, Chennubhotla SC. (2017). Spatial statistics for segmenting histological structures in H&E stained tissue images, IEEE Trans Med Imaging. 2017 Mar 16. doi: 10.1109/TMI.2017.2681519.

[5] Nguyen L, Tosun B, Fine J, Taylor DL, Chennubhotla SC. (2017). Architectural patterns for differential diagnosis of proliferative breast lesions from histopathological images, IEEE International Symposium on Biomedical Imaging (ISBI) Melbourne, Australia April, 2017

[6] Tosun B, Nguyen L, Ong N, Navolotskaia O, Carter G, Fine J, Taylor DL, Chennubhotla SC. (2017). Histological detection of high-risk benign breast lesions from whole slide images, 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec City, Quebec, Canada 2017.

[7] Jones T, Nguyen L, Tosun B, Chennubhotla SC, Fine J. (2017). Computational Pathology versus Manual Microscopy: Comparison Based on Workflow Simulations of Breast Core Biopsies, 106th Annual Meeting of USACP, San Antonio, Texas, March 2017

Related Publications

[1] Kumar VS, Weisenberg J, Aggour KS, Sarachan B. (2015). Collaborative Analysis of High-Content Image Data,” NIST 2015 BioImage Informatics Conference.

[2] Gough AH, Chen N, Shun TY, Lezon TR, Boltz RC, Reese CE, Wagner J, Vernetti LA, Grandis JR, Lee AV, Stern AM, Schurdak ME, Taylor DL. (2014). Identifying and quantifying heterogeneity in high content analysis: application of heterogeneity indices to drug discovery, PloS one 9.7 2014: e102678.

[3] Gerdes MJ, et al. (2013). Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue, Proceedings of the National Academy of Sciences 110.29 2013: 11982-11987.

[4] Padfield D, Rittscher J, and Roysam B. (2008). Spatio-temporal cell segmentation and tracking for automated screening, Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on. IEEE, 2008.