Articles with public access mandates - Thomas J. FuchsLearn more
Not available anywhere: 3
Risk-aware planetary rover operation: Autonomous terrain classification and path planning
M Ono, TJ Fuchs, A Steffy, M Maimone, J Yen
2015 IEEE aerospace conference, 1-10, 2015
Mandates: US National Aeronautics and Space Administration
KPNA2 is overexpressed in human and mouse endometrial cancers and promotes cellular proliferation
K Ikenberg, N Valtcheva, S Brandt, Q Zhong, CE Wong, A Noske, ...
The Journal of pathology 234 (2), 239-252, 2014
Mandates: Swiss National Science Foundation
Computational pathology
PJ Schüffler, Q Zhong, PJ Wild, TJ Fuchs
Mechanisms of Molecular Carcinogenesis–Volume 2, 263-279, 2017
Mandates: US National Institutes of Health
Available somewhere: 55
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
G Campanella, MG Hanna, L Geneslaw, A Miraflor, ...
Nature medicine 25 (8), 1301-1309, 2019
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
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
Mandates: German Research Foundation
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), 1086-1094, 2017
Mandates: US National Institutes of Health
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
Mandates: Swiss National Science Foundation
Robot-centric activity prediction from first-person videos: What will they do to me?
MS Ryoo, TJ Fuchs, L Xia, JK Aggarwal, L Matthies
Proceedings of the tenth annual ACM/IEEE international conference on human …, 2015
Mandates: US National Aeronautics and Space Administration
Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies
P Raciti, J Sue, R Ceballos, R Godrich, JD Kunz, S Kapur, V Reuter, ...
Modern Pathology 33 (10), 2058-2066, 2020
Mandates: US National Institutes of Health
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
Mandates: German Research Foundation
H&E-stained whole slide image deep learning predicts SPOP mutation state in prostate cancer
AJ Schaumberg, MA Rubin, TJ Fuchs
BioRxiv, 064279, 2016
Mandates: US National Institutes of Health
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
Mandates: US National Science Foundation, US National Aeronautics and Space Administration
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
Mandates: US National Institutes of Health
Independent real‐world application of a clinical‐grade automated prostate cancer detection system
LM da Silva, EM Pereira, PGO Salles, R Godrich, R Ceballos, JD Kunz, ...
The Journal of pathology 254 (2), 147-158, 2021
Mandates: US National Institutes of Health
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
Mandates: Swiss National Science Foundation
Deep multi-magnification networks for multi-class breast cancer image segmentation
DJ Ho, DVK Yarlagadda, TM D’Alfonso, MG Hanna, A Grabenstetter, ...
Computerized Medical Imaging and Graphics 88, 101866, 2021
Mandates: US National Institutes of Health
Autonomous Terrain Classification with Co-and Self-Training Approach
K Otsu, M Ono, T Fuchs, I Baldwin, T Kubota
IEEE Robotics and Automation Letters 1 (2), 814 - 819, 2016
Mandates: US National Aeronautics and Space Administration
p53 suppresses type II endometrial carcinomas in mice and governs endometrial tumour aggressiveness in humans
PJ Wild, K Ikenberg, TJ Fuchs, M Rechsteiner, S Georgiev, N Fankhauser, ...
EMBO molecular medicine 4 (8), 808-824, 2012
Mandates: Swiss National Science Foundation
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, 1-17, 2009
Mandates: German Research Foundation
Publication and funding information is determined automatically by a computer program