| Quantitative image analysis of cellular heterogeneity in breast tumors complements genomic profiling Y Yuan, H Failmezger, OM Rueda, HR Ali, S Gräf, SF Chin, RF Schwarz, ... Science translational medicine 4 (157), 157ra143-157ra143, 2012 | 462 | 2012 |
| Interfaces of malignant and immunologic clonal dynamics in ovarian cancer AW Zhang, A McPherson, K Milne, DR Kroeger, PT Hamilton, A Miranda, ... Cell 173 (7), 1755-1769. e22, 2018 | 298 | 2018 |
| Global analysis of eukaryotic mRNA degradation reveals Xrn1-dependent buffering of transcript levels M Sun, B Schwalb, N Pirkl, KC Maier, A Schenk, H Failmezger, A Tresch, ... Molecular cell 52 (1), 52-62, 2013 | 276 | 2013 |
| Topological tumor graphs: a graph-based spatial model to infer stromal recruitment for immunosuppression in melanoma histology H Failmezger, S Muralidhar, A Rullan, CE de Andrea, E Sahai, Y Yuan Cancer research 80 (5), 1199-1209, 2020 | 58 | 2020 |
| Semi-automated 3D leaf reconstruction and analysis of trichome patterning from light microscopic images H Failmezger, B Jaegle, A Schrader, M Hülskamp, A Tresch PLoS Computational Biology 9 (4), e1003029, 2013 | 27 | 2013 |
| Superpixel-based conditional random fields (SuperCRF): incorporating global and local context for enhanced deep learning in melanoma histopathology K Zormpas-Petridis, H Failmezger, SEA Raza, I Roxanis, Y Jamin, Y Yuan Frontiers in oncology 9, 1045, 2019 | 25 | 2019 |
| Continuous single cell imaging reveals sequential steps of plasmacytoid dendritic cell development from common dendritic cell progenitors E Dursun, M Endele, A Musumeci, H Failmezger, SH Wang, A Tresch, ... Scientific reports 6 (1), 37462, 2016 | 22 | 2016 |
| Analysis of spatial organization of suppressive myeloid cells and effector T cells in colorectal cancer—a potential tool for discovering prognostic biomarkers in clinical research N Zwing, H Failmezger, CH Ooi, DP Hibar, M Canamero, B Gomes, ... Frontiers in Immunology 11, 550250, 2020 | 17 | 2020 |
| Factor graph analysis of live cell–imaging data reveals mechanisms of cell fate decisions T Niederberger, H Failmezger, D Uskat, D Poron, I Glauche, N Scherf, ... Bioinformatics 31 (11), 1816-1823, 2015 | 13 | 2015 |
| Unsupervised automated high throughput phenotyping of RNAi time-lapse movies H Failmezger, H Fröhlich, A Tresch BMC bioinformatics 14, 1-10, 2013 | 12 | 2013 |
| Learning gene network structure from time laps cell imaging in RNAi Knock downs H Failmezger, P Praveen, A Tresch, H Fröhlich Bioinformatics 29 (12), 1534-1540, 2013 | 11 | 2013 |
| MowJoe: a method for automated-high throughput dissected leaf phenotyping H Failmezger, J Lempe, N Khadem, M Cartolano, M Tsiantis, A Tresch Plant methods 14, 1-9, 2018 | 9 | 2018 |
| CRImage: CRImage a package to classify cells and calculate tumour cellularity H Failmezger, Y Yuan, O Rueda, F Markowetz, MH Failmezger R Packag version 1 (0), 2010 | 8 | 2010 |
| Quantitative image analysis of cellular heterogeneity in breast tumors complements genomic profiling. Sci Transl Med. 2012; 4 (157): 157ra43 Y Yuan, H Failmezger, OM Rueda, HR Ali, S Graf, SF Chin, RF Schwarz, ... Epub 2012/10/27. https://doi. org/10.1126/scitranslmed. 3004330 PMID: 23100629, 0 | 8 | |
| Capturing global spatial context for accurate cell classification in skin cancer histology K Zormpas-Petridis, H Failmezger, I Roxanis, M Blackledge, Y Jamin, ... Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018 | 6 | 2018 |
| Quantitative image analysis of cellular heterogeneity in breast tumors complements genomic profiling. Sci Transl Med 4: 157ra143 Y Yuan, H Failmezger, OM Rueda, HR Ali, S Gräf, SF Chin, RF Schwarz, ... | 6 | 2012 |
| Computational tumor infiltration phenotypes enable the spatial and genomic analysis of immune infiltration in colorectal cancer H Failmezger, N Zwing, A Tresch, K Korski, F Schmich Frontiers in Oncology 11, 552331, 2021 | 4 | 2021 |
| Clustering of samples with a tree-shaped dependence structure, with an application to microscopic time lapse imaging H Failmezger, E Dursun, S Dümcke, M Endele, D Poron, T Schroeder, ... Bioinformatics 35 (13), 2291-2299, 2019 | 4 | 2019 |
| The interface of malignant and immunologic clonal dynamics in high-grade serous ovarian cancer AW Zhang, A McPherson, K Milne, DR Kroeger, PT Hamilton, A Miranda, ... bioRxiv, 198101, 2017 | 2 | 2017 |
| Computational pathology–based HER2 quantification to identify novel biomarkers in gastric cancer (GC). A Kapil, H Failmezger, A Spitzmüller, J Chan, S Haneder, A Shumilov, ... Journal of Clinical Oncology 41 (4_suppl), 449-449, 2023 | | 2023 |
