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2020 – today
- 2024
[i8]Jonas Dippel, Barbara Feulner, Tobias Winterhoff, Simon Schallenberg, Gabriel Dernbach, Andreas Kunft, Stephan Tietz, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Maximilian Alber:
RudolfV: A Foundation Model by Pathologists for Pathologists. CoRR abs/2401.04079 (2024)- [i7]Julius Hense, Mina Jamshidi Idaji, Oliver Eberle, Thomas Schnake, Jonas Dippel, Laure Ciernik, Oliver Buchstab, Andreas Mock, Frederick Klauschen, Klaus-Robert Müller:
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology. CoRR abs/2406.04280 (2024) - [i6]Jonas Dippel, Niklas Prenißl, Julius Hense, Philipp Liznerski, Tobias Winterhoff, Simon Schallenberg, Marius Kloft, Oliver Buchstab, David Horst, Maximilian Alber, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen:
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics. CoRR abs/2406.14866 (2024) - 2023
- [j4]Caroline Stellmach
, Julian Sass, Bernd Auber, Martin Boeker, Thomas F. Wienker, Andrew J. Heidel, Manuela Benary, Simon Schumacher, Stephan Ossowski, Frederick Klauschen, Yvonne Möller, Rita Schmutzler, Arsenij Ustjanzew, Patrick Werner, Aurelie Tomczak, Thimo Hölter, Sylvia Thun:
Creation of a structured molecular genomics report for Germany as a local adaption of HL7's Genomic Reporting Implementation Guide. J. Am. Medical Informatics Assoc. 30(6): 1179-1189 (2023) - [c1]Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed M. Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala:
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. NeurIPS 2023 - [i5]Miriam Hägele, Johannes Eschrich, Lukas Ruff, Maximilian Alber, Simon Schallenberg, Adrien Guillot, Christoph Roderburg, Frank Tacke, Frederick Klauschen:
Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides. CoRR abs/2302.01813 (2023) - [i4]Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed M. Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala:
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. CoRR abs/2306.13384 (2023) - 2021
- [j3]Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Masaru Ishii, Albrecht Stenzinger, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen:
Morphological and molecular breast cancer profiling through explainable machine learning. Nat. Mach. Intell. 3(4): 355-366 (2021) - [i3]Kirill Bykov, Marina M.-C. Höhne, Adelaida Creosteanu, Klaus-Robert Müller, Frederick Klauschen, Shinichi Nakajima, Marius Kloft:
Explaining Bayesian Neural Networks. CoRR abs/2108.10346 (2021) - 2020
- [p1]Philipp Seegerer, Alexander Binder, René Saitenmacher, Michael Bockmayr, Maximilian Alber, Philipp Jurmeister, Frederick Klauschen, Klaus-Robert Müller:
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images. AI and ML for Digital Pathology 2020: 16-37
2010 – 2019
- 2019
- [i2]Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, Michael Bockmayr, Wojciech Samek, Frederick Klauschen, Klaus-Robert Müller, Alexander Binder:
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods. CoRR abs/1908.06943 (2019) - 2018
- [i1]Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Albrecht Stenzinger, Laura Parlow, Jan Budczies, Benjamin Goeppert, Denise Treue, Manato Kotani, Masaru Ishii, Manfred Dietel, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen:
Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles. CoRR abs/1805.11178 (2018) - 2015
- [j2]Jan Budczies, Michael Bockmayr, Denise Treue, Frederick Klauschen, Carsten Denkert:
Semiconductor sequencing: how many flows do you need? Bioinform. 31(8): 1199-1203 (2015) - 2013
- [j1]Michael Bockmayr, Frederick Klauschen, Balazs Györffy, Carsten Denkert, Jan Budczies:
New network topology approaches reveal differential correlation patterns in breast cancer. BMC Syst. Biol. 7: 78 (2013)
Coauthor Index
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