| Understanding neural networks through deep visualization J Yosinski, J Clune, A Nguyen, T Fuchs, H Lipson arXiv preprint arXiv:1506.06579, 2015 | 1304 | 2015 |
| Clinical-grade computational pathology using weakly supervised deep learning on whole slide images G Campanella, MG Hanna, L Geneslaw, A Miraflor, VWK Silva, KJ Busam, ... Nature medicine 25 (8), 1301-1309, 2019 | 214 | 2019 |
| TAK1 suppresses a NEMO-dependent but NF-κB-independent pathway to liver cancer K Bettermann, M Vucur, J Haybaeck, C Koppe, J Janssen, F Heymann, ... Cancer cell 17 (5), 481-496, 2010 | 213 | 2010 |
| Computational pathology: Challenges and promises for tissue analysis TJ Fuchs, JM Buhmann Computerized Medical Imaging and Graphics 35 (7-8), 515-530, 2011 | 179 | 2011 |
| 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 | 175 | 2011 |
| Quickly boosting decision trees–pruning underachieving features early R Appel, T Fuchs, P Dollár, P Perona International conference on machine learning, 594-602, 2013 | 137 | 2013 |
| Neuron geometry extraction by perceptual grouping in sstem images V Kaynig, T Fuchs, JM Buhmann 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 120 | 2010 |
| 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), 217, 2009 | 106 | 2009 |
| Hybrid deep learning on single wide-field optical coherence tomography scans accurately classifies glaucoma suspects H Muhammad, TJ Fuchs, N De Cuir, CG De Moraes, DM Blumberg, ... Journal of glaucoma 26 (12), 1086, 2017 | 105 | 2017 |
| Robot-centric activity prediction from first-person videos: What will they do to me? MS Ryoo, TJ Fuchs, L Xia, JK Aggarwal, L Matthies 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2015 | 102 | 2015 |
| Computational pathology analysis of tissue microarrays predicts survival of renal clear cell carcinoma patients TJ Fuchs, PJ Wild, H Moch, JM Buhmann International Conference on Medical Image Computing and Computer-Assisted …, 2008 | 93 | 2008 |
| The Bayesian group-lasso for analyzing contingency tables S Raman, TJ Fuchs, PJ Wild, E Dahl, V Roth Proceedings of the 26th annual international conference on machine learning …, 2009 | 90 | 2009 |
| Nuclear karyopherin α2 expression predicts poor survival in patients with advanced breast cancer irrespective of treatment intensity O Gluz, P Wild, R Meiler, R Diallo‐Danebrock, E Ting, S Mohrmann, ... International journal of cancer 123 (6), 1433-1438, 2008 | 73 | 2008 |
| Machine learning approaches to analyze histological images of tissues from radical prostatectomies A Gertych, N Ing, Z Ma, TJ Fuchs, S Salman, S Mohanty, S Bhele, ... Computerized Medical Imaging and Graphics 46, 197-208, 2015 | 67 | 2015 |
| Aerosols transmit prions to immunocompetent and immunodeficient mice J Haybaeck, M Heikenwalder, B Klevenz, P Schwarz, I Margalith, C Bridel, ... PLoS Pathog 7 (1), e1001257, 2011 | 67 | 2011 |
| A seven-marker signature and clinical outcome in malignant melanoma: a large-scale tissue-microarray study with two independent patient cohorts S Meyer, TJ Fuchs, AK Bosserhoff, F Hofstädter, A Pauer, V Roth, ... PloS one 7 (6), e38222, 2012 | 60 | 2012 |
| Nuclear detection of Y-boxprotein-1 (YB-1) closely associates with progesterone receptor negativity and is a strong adverse survival factor in human breast cancer E Dahl, A En-Nia, F Wiesmann, R Krings, S Djudjaj, E Breuer, T Fuchs, ... BMC cancer 9 (1), 410, 2009 | 59 | 2009 |
| 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 (Suppl), 2013 | 58 | 2013 |
| A generalized computer vision approach to mapping crop fields in heterogeneous agricultural landscapes SR Debats, D Luo, LD Estes, TJ Fuchs, KK Caylor Remote Sensing of Environment 179, 210-221, 2016 | 56 | 2016 |
| DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem I Häggström, CR Schmidtlein, G Campanella, TJ Fuchs Medical image analysis 54, 253-262, 2019 | 51 | 2019 |
Peter WildFull Professor of Pathology, Director Dr. Senckenberg Institute of Pathology, Univ. HospitalVerified email at kgu.de
