Frederick Klauschen
机构: Institute of Pathology, University of Munich (LMU)
主页: uni-muenchen.de
每年引用次数
引用次数
引用: 24,532
H-指数: 61
I10-指数 : 143
出版物: 349
Imaging bridges pathology and radiology
Hansmann Martin-Leo , Klauschen Frederick , Samek Wojciech , Müller Klaus-Robert
Journal of Pathology Informatics 100298 -100298
2
2023
Preoperative ultrasound elastography for postoperative pancreatic fistula prediction after pancreatoduodenectomy: A prospective study
Viktor H von Ehrlich-Treuenstätt , Michael Guenther , Matthias Ilmer , Mathilda M Knoblauch
Surgery 175 ( 2) 491 -497
2024
Immune-related Gene Expression Predicts Response to Neoadjuvant Chemotherapy but not Additional Benefit from PD-L1 Inhibition in Women with Early Triple-negative Breast Cancer.
Bruno V Sinn , Sibylle Loibl , Claus A Hanusch , Dirk-Michael Zahm
Clinical Cancer Research 27 ( 9) 2584 -2591
1
2021
TCR strength of signal is upstream of and dominates over cytokine effects in controlling CD4+ T cell polarization in vivo (IRC2P.449)
Nicholas van Panhuys , Frederick Klauschen , Ronald Germain
Journal of Immunology 192
2014
Quantitative Methoden in der Molekular- und Systempathologie
Frederick Klauschen
2013
13. European Congress on Digital PathologyBerlin, May 25-28, 2016
Peter Hufnagl , Frederick Klauschen , Marcial Garcia Rojo
Diagnostic Pathology 1 ( 8)
2016
Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles.
Benjamin Goeppert , Michael Bockmayr , Albrecht Stenzinger , Jan Budczies
arXiv: Computer Vision and Pattern Recognition
28
2018
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study
Albrecht Stenzinger , Eva Krieghoff-Henning , Michael Weichenthal , Jochen Sven Utikal
Journal of Medical Internet Research 23 ( 2)
23
2021
Immune-related Gene Expression Predicts Response to Neoadjuvant Chemotherapy but not Additional Benefit from PD-L1 Inhibition in Women with Early Triple-negative Breast Cancer.
Bruno V Sinn , Sibylle Loibl , Claus A Hanusch , Dirk-Michael Zahm
Clinical Cancer Research 27 ( 9) 2584 -2591
1
2021
Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling.
Peter Schirmacher , Michael Bockmayr , Philipp Jurmeister , Albrecht Stenzinger
Seminars in Cancer Biology
31
2021
Morphological and molecular breast cancer profiling through explainable machine learning
Michael Bockmayr , Michael Bockmayr , Albrecht Stenzinger , Andreas Hocke
Nature Machine Intelligence 3 ( 4) 355 -366
66
2021
Artificial Intelligence in Pathology.
Peter Hufnagl , Frederick Klauschen , Wilfried Roth , Sebastian Försch
Deutsches Arzteblatt International 118 ( 12) 194 -204
2021
Hepatic Wnt1 Inducible Signaling Pathway Protein 1 (WISP-1/CCN4) Associates with Markers of Liver Fibrosis in Severe Obesity.
Natalia Rudovich , Frederick Klauschen , Frederick Klauschen , Silke Hornemann
Cells 10 ( 5) 1048
6
2021
Streptococcus pneumoniae-induced regulation of cyclooxygenase-2 in human lung tissue
Kolja V. Szymanski , Mario Toennies , Anne Becher , Diana Fatykhova
European Respiratory Journal 40 ( 6) 1458 -1467
30
2012
Association of an APOBEC mutational signature, mutational load, and BRCAness with inflammation and PD-L1 expression in HNSCC.
Damian Tobias Rieke , Clemens Messerschmidt , Sebastian Ochsenreither , Konrad Friedrich Klinghammer
Journal of Clinical Oncology 35
3
2017
Immunologic Profiling of Mutational and Transcriptional Subgroups in Pediatric and Adult High-Grade Gliomas.
Michael Bockmayr , Frederick Klauschen , Cecile L. Maire , Stefan Rutkowski
Cancer immunology research 7 ( 9) 1401 -1411
11
2019
CognitionMaster: an object-based image analysis framework
Stephan Wienert , Daniel Heim , Manato Kotani , Björn Lindequist
Diagnostic Pathology 8 ( 1) 34 -34
36
2013
High‐protein diet more effectively reduces hepatic fat than low‐protein diet despite lower autophagy and FGF21 levels
Chenchen Xu , Mariya Markova , Nicole Seebeck , Anne Loft
Liver International 40 ( 12) 2982 -2997
35
2020
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images
Philipp Seegerer , Alexander Binder , René Saitenmacher , Michael Bockmayr
AI and ML for Digital Pathology 16 -37
6
2020
Computational modeling of cellular signaling processes embedded into dynamic spatial contexts
Bastian R Angermann , Frederick Klauschen , Alex D Garcia , Thorsten Prustel
Nature Methods 9 ( 3) 283 -289
78
2012