Thomas J. Fuchs
Titel
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Zitiert von
Jahr
Understanding neural networks through deep visualization
J Yosinski, J Clune, A Nguyen, T Fuchs, H Lipson
arXiv preprint arXiv:1506.06579, 2015
15062015
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
4322019
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
2272010
Computational pathology: challenges and promises for tissue analysis
TJ Fuchs, JM Buhmann
Computerized Medical Imaging and Graphics 35 (7-8), 515-530, 2011
2002011
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
1822011
Quickly boosting decision trees–pruning underachieving features early
R Appel, T Fuchs, P Dollár, P Perona
International conference on machine learning, 594-602, 2013
1462013
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
1232010
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
1222017
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
1152015
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), 1-13, 2009
1122009
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
992008
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
952009
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
822019
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
772015
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
732011
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
682016
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
652012
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
632013
Nuclear detection of Y-box protein-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), 1-17, 2009
612009
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