| The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models Nature biotechnology 28 (8), 827-838, 2010 | 847 | 2010 |
| Comparing two correlated C indices with right‐censored survival outcome: a one‐shot nonparametric approach L Kang, W Chen, NA Petrick, BD Gallas Statistics in medicine 34 (4), 685-703, 2015 | 316 | 2015 |
| Effect of training-sample size and classification difficulty on the accuracy of genomic predictors V Popovici, W Chen, BD Gallas, C Hatzis, W Shi, FW Samuelson, ... Breast Cancer Research 12, 1-13, 2010 | 244 | 2010 |
| Validating the use of channels to estimate the ideal linear observer BD Gallas, HH Barrett JOSA A 20 (9), 1725-1738, 2003 | 179 | 2003 |
| One-shot estimate of MRMC variance: AUC BD Gallas Academic radiology 13 (3), 353-362, 2006 | 168 | 2006 |
| Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning F Klauschen, KR Müller, A Binder, M Bockmayr, M Hägele, P Seegerer, ... Seminars in cancer biology 52, 151-157, 2018 | 150 | 2018 |
| Observer Variability in the Interpretation of HER2/neu Immunohistochemical Expression With Unaided and Computer-Aided Digital Microscopy MA Gavrielides, BD Gallas, P Lenz, A Badano, SM Hewitt Archives of pathology & laboratory medicine 135 (2), 233-242, 2011 | 150 | 2011 |
| Stabilized estimates of Hotelling-observer detection performance in patient-structured noise HH Barrett, CK Abbey, BD Gallas, MP Eckstein Medical Imaging 1998: Image Perception 3340, 27-43, 1998 | 131 | 1998 |
| Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer Z Kos, E Roblin, RS Kim, S Michiels, BD Gallas, W Chen, KK van de Vijver, ... NPJ breast cancer 6 (1), 17, 2020 | 128 | 2020 |
| Channelized Hotelling observers for the assessment of volumetric imaging data sets L Platiša, B Goossens, E Vansteenkiste, S Park, BD Gallas, A Badano, ... JOSA A 28 (6), 1145-1163, 2011 | 125 | 2011 |
| Report on computational assessment of tumor infiltrating lymphocytes from the International Immuno-Oncology Biomarker Working Group M Amgad, ES Stovgaard, E Balslev, J Thagaard, W Chen, S Dudgeon, ... NPJ breast cancer 6 (1), 16, 2020 | 117 | 2020 |
| A framework for random-effects ROC analysis: biases with the bootstrap and other variance estimators BD Gallas, A Bandos, FW Samuelson, RF Wagner Communications in Statistics—Theory and Methods 38 (15), 2586-2603, 2009 | 90 | 2009 |
| Evaluating imaging and computer-aided detection and diagnosis devices at the FDA BD Gallas, HP Chan, CJ D’Orsi, LE Dodd, ML Giger, D Gur, EA Krupinski, ... Academic radiology 19 (4), 463-477, 2012 | 82 | 2012 |
| Lubberts effect in columnar phosphors: Lubberts effect in columnar phosphors A Badano, RM Gagne, BD Gallas, RJ Jennings, JS Boswell, KJ Myers Medical physics 31 (11), 3122-3131, 2004 | 80 | 2004 |
| Multireader multicase variance analysis for binary data BD Gallas, GA Pennello, KJ Myers JOSA A 24 (12), B70-B80, 2007 | 63 | 2007 |
| Multi-reader ROC studies with split-plot designs: a comparison of statistical methods NA Obuchowski, BD Gallas, SL Hillis Academic radiology 19 (12), 1508-1517, 2012 | 58 | 2012 |
| Toward objective and quantitative evaluation of imaging systems using images of phantoms RM Gagne, BD Gallas, KJ Myers Medical physics 33 (1), 83-95, 2006 | 56 | 2006 |
| Megalopinakophobia: its symptoms and cures HH Barrett, KJ Myers, BD Gallas, E Clarkson, H Zhang Medical Imaging 2001: Physics of Medical Imaging 4320, 299-307, 2001 | 53 | 2001 |
| The MAQC-II Project: A comprehensive study of common practices for the development and validation of microarray-based predictive models. L Shi, G Campbell, W Jones, F Campagne, Z Wen, S Walker, Z Su, T Chu, ... Nature biotechnology 28 (8), 827-838, 2010 | 48 | 2010 |
| Observer performance in the use of digital and optical microscopy for the interpretation of tissue-based biomarkers MA Gavrielides, C Conway, N O’Flaherty, BD Gallas, SM Hewitt Analytical Cellular Pathology 2014, 2014 | 43 | 2014 |
