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Journal Articles
- 2024
[j4]Daniel Truhn
, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Müller-Franzes, Firas Khader, Philip Quirke, Nicholas P. West, Richard Gray, Gordon G. A. Hutchins, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Alexander Brobeil, Tanwei Yuan, Jenny Chang-Claude, Michael Hoffmeister, Sebastian Foersch, Tianyu Han, Sebastian Keil, Maximilian Schulze-Hagen, Peter Isfort, Philipp Bruners, Georgios Kaissis, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather:
Encrypted federated learning for secure decentralized collaboration in cancer image analysis. Medical Image Anal. 92: 103059 (2024)- 2023
- [j3]Tanwei Yuan, Dominic Edelmann, Ziwen Fan, Elizabeth Alwers, Jakob Nikolas Kather, Hermann Brenner, Michael Hoffmeister:
Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: A systematic review of epigenome-wide studies. Artif. Intell. Medicine 143: 102589 (2023) - 2022
- [j2]Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather:
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. 79: 102474 (2022) - [j1]Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather:
Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. Medical Image Anal. 82: 102622 (2022)
Conference and Workshop Papers
- 2019
- [c5]Rainer Drath, Markus Rentschler, Michael Hoffmeister:
The AutomationML Component Description in the context of the Asset Administration Shell. ETFA 2019: 1278-1281 - 2017
- [c4]Constantin Wagner, Julian Grothoff, Ulrich Epple, Rainer Drath, Somayeh Malakuti, Sten Grüner, Michael Hoffmeister, Patrick Zimmermann:
The role of the Industry 4.0 asset administration shell and the digital twin during the life cycle of a plant. ETFA 2017: 1-8 - 2016
- [c3]Irlán Grangel-González, Lavdim Halilaj, Gökhan Coskun, Sören Auer, Diego Collarana, Michael Hoffmeister:
Towards a Semantic Administrative Shell for Industry 4.0 Components. ICSC 2016: 230-237 - 2012
- [c2]Konstantin Konrad, Michael Hoffmeister, Matthias Zapp, Alexander Verl, Johannes Busse:
Enabling Fast Ramp-Up of Assembly Lines through Context-Mapping of Implicit Operator Knowledge and Machine-Derived Data. IPAS 2012: 163-174 - 2005
- [c1]Clemens Birkenhofer, Michael Hoffmeister, Johann Marius Zöllner, Rüdiger Dillmann:
Compliant motion of a multi-segmented inspection robot. IROS 2005: 2632-2637
Informal and Other Publications
- 2024
- [i4]Peter Neidlinger, Omar S. M. El Nahhas, Hannah Sophie Muti, Tim Lenz, Michael Hoffmeister, Hermann Brenner, Marko van Treeck, Rupert Langer, Bastian Dislich, Hans Michael Behrens, Christoph Röcken, Sebastian Foersch, Daniel Truhn, Antonio Marra, Oliver Lester Saldanha, Jakob Nikolas Kather:
Benchmarking foundation models as feature extractors for weakly-supervised computational pathology. CoRR abs/2408.15823 (2024) - 2023
- [i3]Sophia J. Wagner, Daniel Reisenbüchler, Nicholas P. West, Jan Moritz Niehues, Gregory Patrick Veldhuizen, Philip Quirke, Heike Irmgard Grabsch, Piet A. van den Brandt, Gordon G. A. Hutchins, Susan D. Richman, Tanwei Yuan, Rupert Langer, Josien Christina Anna Jenniskens, Kelly Offermans, Wolfram Müller, Richard Gray, Stephen B. Gruber, Joel K. Greenson, Gad Rennert, Joseph D. Bonner, Daniel Schmolze, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Michael Hoffmeister, Daniel Truhn, Julia A. Schnabel, Melanie Boxberg, Tingying Peng, Jakob Nikolas Kather:
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. CoRR abs/2301.09617 (2023) - [i2]Omar S. M. El Nahhas, Chiara Maria Lavinia Loeffler, Zunamys I. Carrero, Marko van Treeck, Fiona R. Kolbinger, Katherine Jane Hewitt, Hannah Sophie Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge S. Reis-Filho, Jakob Nikolas Kather:
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. CoRR abs/2304.05153 (2023) - 2016
- [i1]Irlán Grangel-González, Lavdim Halilaj, Gökhan Coskun, Sören Auer, Diego Collarana, Michael Hoffmeister:
Towards a Semantic Administrative Shell for Industry 4.0 Components. CoRR abs/1601.01556 (2016)
Coauthor Index
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