| Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry C Giesen, HAO Wang, D Schapiro, N Zivanovic, A Jacobs, B Hattendorf, ... Nat Meth, 2014 | 1748 | 2014 |
| Cancer genetics-guided discovery of serum biomarker signatures for diagnosis and prognosis of prostate cancer I Cima, R Schiess, P Wild, M Kaelin, P Schüffler, V Lange, P Picotti, ... Proceedings of the National Academy of Sciences 108 (8), 3342-3347, 2011 | 227 | 2011 |
| Whole slide imaging equivalency and efficiency study: experience at a large academic center MG Hanna, VE Reuter, MR Hameed, LK Tan, S Chiang, C Sigel, ... Modern Pathology 32 (7), 916-928, 2019 | 187 | 2019 |
| Validation of a digital pathology system including remote review during the COVID-19 pandemic MG Hanna, VE Reuter, O Ardon, D Kim, SJ Sirintrapun, PJ Schüffler, ... Modern Pathology 33 (11), 2115-2127, 2020 | 160 | 2020 |
| Prognostic relevance of Wnt-inhibitory factor-1 (WIF1) and Dickkopf-3 (DKK3) promoter methylation in human breast cancer J Veeck, PJ Wild, T Fuchs, PJ Schüffler, A Hartmann, R Knüchel, E Dahl BMC cancer 9, 1-13, 2009 | 136 | 2009 |
| Deep learning methods for lung cancer segmentation in whole-slide histopathology images—the acdc@ lunghp challenge 2019 Z Li, J Zhang, T Tan, X Teng, X Sun, H Zhao, L Liu, Y Xiao, B Lee, Y Li, ... IEEE Journal of Biomedical and Health Informatics 25 (2), 429-440, 2020 | 122 | 2020 |
| Prediction of colorectal cancer diagnosis based on circulating plasma proteins S Surinova, M Choi, S Tao, PJ Schüffler, CY Chang, T Clough, K Vysloužil, ... EMBO molecular medicine 7 (9), 1166-1178, 2015 | 105 | 2015 |
| Automatic detection and segmentation of Crohn's disease tissues from abdominal MRI D Mahapatra, PJ Schüffler, JAW Tielbeek, JC Makanyanga, J Stoker, ... IEEE transactions on medical imaging 32 (12), 2332-2347, 2013 | 99 | 2013 |
| TMARKER: A free software toolkit for histopathological cell counting and staining estimation PJ Schüffler, TJ Fuchs, CS Ong, PJ Wild, NJ Rupp, JM Buhmann Journal of pathology informatics 4 (2), 2, 2013 | 87 | 2013 |
| Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology G Campanella, AR Rajanna, L Corsale, PJ Schüffler, Y Yagi, TJ Fuchs Computerized medical imaging and graphics 65, 142-151, 2018 | 69 | 2018 |
| Semi-supervised and active learning for automatic segmentation of crohn’s disease D Mahapatra, PJ Schüffler, JAW Tielbeek, FM Vos, JM Buhmann Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 67 | 2013 |
| Is there an association between pain and magnetic resonance imaging parameters in patients with lumbar spinal stenosis? JM Burgstaller, PJ Schüffler, JM Buhmann, G Andreisek, S Winklhofer, ... Spine 41 (17), E1053-E1062, 2016 | 66 | 2016 |
| Automatic single cell segmentation on highly multiplexed tissue images PJ Schüffler, D Schapiro, C Giesen, HAO Wang, B Bodenmiller, ... Cytometry Part A 87 (10), 936-942, 2015 | 63 | 2015 |
| A supervised learning based approach to detect crohn’s disease in abdominal mr volumes D Mahapatra, P Schueffler, JAW Tielbeek, JM Buhmann, FM Vos Abdominal Imaging. Computational and Clinical Applications: 4th …, 2012 | 61 | 2012 |
| Clinical validation of artificial intelligence–augmented pathology diagnosis demonstrates significant gains in diagnostic accuracy in prostate cancer detection P Raciti, J Sue, JA Retamero, R Ceballos, R Godrich, JD Kunz, A Casson, ... Archives of Pathology & Laboratory Medicine 147 (10), 1178-1185, 2023 | 57 | 2023 |
| Integrated digital pathology at scale: a solution for clinical diagnostics and cancer research at a large academic medical center PJ Schüffler, L Geneslaw, DVK Yarlagadda, MG Hanna, J Samboy, ... Journal of the American Medical Informatics Association 28 (9), 1874-1884, 2021 | 57 | 2021 |
| Comprehensive immunohistochemical analysis of PD-L1 shows scarce expression in castration-resistant prostate cancer CD Fankhauser, PJ Schüffler, S Gillessen, A Omlin, NJ Rupp, ... Oncotarget 9 (12), 10284, 2017 | 54 | 2017 |
| Computational modeling for assessment of IBD: to be or not to be? FM Vos, JAW Tielbeek, RE Naziroglu, Z Li, P Schueffler, D Mahapatra, ... 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 54 | 2012 |
| A supervised learning approach for Crohn's disease detection using higher-order image statistics and a novel shape asymmetry measure D Mahapatra, P Schueffler, JAW Tielbeek, JM Buhmann, FM Vos Journal of digital imaging 26, 920-931, 2013 | 51 | 2013 |
| A model development pipeline for Crohn’s disease severity assessment from magnetic resonance images PJ Schüffler, D Mahapatra, JAW Tielbeek, FM Vos, J Makanyanga, ... Abdominal Imaging. Computation and Clinical Applications: 5th International …, 2013 | 43 | 2013 |
Joachim M. BuhmannETH ZurichVerified email at inf.ethz.ch