Thomas J. Fuchs
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Understanding neural networks through deep visualization
J Yosinski, J Clune, A Nguyen, T Fuchs, H Lipson
arXiv preprint arXiv:1506.06579, 2015
13652015
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
2842019
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
2212010
Computational pathology: Challenges and promises for tissue analysis
TJ Fuchs, JM Buhmann
Computerized Medical Imaging and Graphics 35 (7-8), 515-530, 2011
1862011
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
1782011
Quickly boosting decision trees–pruning underachieving features early
R Appel, T Fuchs, P Dollár, P Perona
International conference on machine learning, 594-602, 2013
1412013
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
1222010
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
1112017
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
1092009
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
1052015
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
932009
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
932008
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
752008
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
702011
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
692015
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
622016
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
612019
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
612012
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
612009
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
582013
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