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PD Dr. med. Sebastian Foersch
PD Dr. med. Sebastian Foersch
Physician / Scientist, University Medical Center Mainz
Verified email at unimedizin-mainz.de
Title
Cited by
Cited by
Year
Interleukin-6-a key regulator of colorectal cancer development
MJ Waldner, S Foersch, MF Neurath
International journal of biological sciences 8 (9), 1248, 2012
4992012
In vivo molecular imaging of colorectal cancer with confocal endomicroscopy by targeting epidermal growth factor receptor
M Goetz, A Ziebart, S Foersch, M Vieth, MJ Waldner, P Delaney, PR Galle, ...
Gastroenterology 138 (2), 435-446, 2010
2622010
Swarm learning for decentralized artificial intelligence in cancer histopathology
OL Saldanha, P Quirke, NP West, JA James, MB Loughrey, HI Grabsch, ...
Nature medicine 28 (6), 1232-1239, 2022
1722022
Molecular imaging of VEGF in gastrointestinal cancer in vivo using confocal laser endomicroscopy
S Foersch, R Kiesslich, MJ Waldner, P Delaney, PR Galle, MF Neurath, ...
Gut 59 (8), 1046-1055, 2010
1662010
Deep learning predicts molecular subtype of muscle-invasive bladder cancer from conventional histopathological slides
AC Woerl, M Eckstein, J Geiger, DC Wagner, T Daher, P Stenzel, ...
European urology 78 (2), 256-264, 2020
1512020
Denoising diffusion probabilistic models for 3D medical image generation
F Khader, G Müller-Franzes, S Tayebi Arasteh, T Han, C Haarburger, ...
Scientific Reports 13 (1), 7303, 2023
1402023
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
S Foersch, C Glasner, AC Woerl, M Eckstein, DC Wagner, S Schulz, ...
Nature medicine 29 (2), 430-439, 2023
1322023
Programming of intestinal epithelial differentiation by IL-33 derived from pericryptal fibroblasts in response to systemic infection
M Mahapatro, S Foersch, M Hefele, GW He, E Giner-Ventura, ...
Cell Reports 15 (8), 1743-1756, 2016
1282016
Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study
SJ Wagner, D Reisenbüchler, NP West, JM Niehues, J Zhu, S Foersch, ...
Cancer Cell 41 (9), 1650-1661. e4, 2023
1182023
Confocal laser endomicroscopy for diagnosis and histomorphologic imaging of brain tumors in vivo
S Foersch, A Heimann, A Ayyad, GA Spoden, L Florin, K Mpoukouvalas, ...
PloS one 7 (7), e41760, 2012
1012012
PARP-1 protects against colorectal tumor induction, but promotes inflammation-driven colorectal tumor progression
B Dörsam, N Seiwert, S Foersch, S Stroh, G Nagel, D Begaliew, E Diehl, ...
Proceedings of the National Academy of Sciences 115 (17), E4061-E4070, 2018
1002018
Artificial intelligence to identify genetic alterations in conventional histopathology
D Cifci, S Foersch, JN Kather
The Journal of Pathology 257 (4), 430-444, 2022
972022
Artificial intelligence in pathology
S Försch, F Klauschen, P Hufnagl, W Roth
Deutsches Ärzteblatt International 118 (12), 199, 2021
952021
Deep learning for diagnosis and survival prediction in soft tissue sarcoma
S Foersch, M Eckstein, DC Wagner, F Gach, AC Woerl, J Geiger, ...
Annals of Oncology 32 (9), 1178-1187, 2021
942021
Transient receptor potential melastatin 8 ion channel in macrophages modulates colitis through a balance-shift in TNF-alpha and interleukin-10 production
M Khalil, A Babes, R Lakra, S Försch, PW Reeh, S Wirtz, C Becker, ...
Mucosal immunology 9 (6), 1500-1513, 2016
922016
Prognostic and predictive value of tumor-infiltrating leukocytes and of immune checkpoint molecules PD1 and PDL1 in clear cell renal cell carcinoma
PJ Stenzel, M Schindeldecker, KE Tagscherer, S Foersch, E Herpel, ...
Translational oncology 13 (2), 336-345, 2020
732020
Colitis-associated neoplasia: molecular basis and clinical translation
S Foersch, MF Neurath
Cellular and molecular life sciences 71, 3523-3535, 2014
732014
Multimodal deep learning for prognosis prediction in renal cancer
S Schulz, AC Woerl, F Jungmann, C Glasner, P Stenzel, S Strobl, ...
Frontiers in oncology 11, 788740, 2021
722021
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study
JM Niehues, P Quirke, NP West, HI Grabsch, M van Treeck, Y Schirris, ...
Cell reports Medicine 4 (4), 2023
642023
Medical domain knowledge in domain-agnostic generative AI
JN Kather, N Ghaffari Laleh, S Foersch, D Truhn
NPJ digital medicine 5 (1), 90, 2022
572022
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