Markus Plass

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 20

Top Topics

Convolutional Neural Network

Decision Making

Radical Prostatectomy

Top Venues

Communications medicine

Nature communications

Learning health systems

The journal of pathology. Clinical research

This page only lists publications with an associated author ORCID identifier.

Publications

Nic Gabriel Reitsam, Bianca Grosser, David F Steiner, Veselin Grozdanov, Ellery Wulczyn, Vincenzo L'Imperio, Markus Plass, Heimo Müller, Kurt Zatloukal, Hannah S Muti, Jakob Nikolas Kather, Bruno Märkl
Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer. Communications medicine 4 (1) (2024)
Nic Gabriel Reitsam, Bianca Grosser, David F Steiner, Veselin Grozdanov, Ellery Wulczyn, Vincenzo L'Imperio, Markus Plass, Heimo Müller, Kurt Zatloukal, Hannah S Muti, Jakob Nikolas Kather, Bruno Märkl
Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer. Communications medicine 4 (1) (2024)
Nic Gabriel Reitsam, Bianca Grosser, David F Steiner, Veselin Grozdanov, Ellery Wulczyn, Vincenzo L'Imperio, Markus Plass, Heimo Müller, Kurt Zatloukal, Hannah S Muti, Jakob Nikolas Kather, Bruno Märkl
Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer. Communications medicine 4 (1) (2024)
Rudolf Wittner, Petr Holub, Cecilia Mascia, Francesca Frexia, Heimo Müller, Markus Plass, Clare Allocca, Fay Betsou, Tony Burdett, Ibon Cancio, Adriane Chapman, Martin Chapman, Mélanie Courtot, Vasa Curcin, Johann Eder, Mark Elliot, Katrina Exter, Carole Goble, Martin Golebiewski, Bron Kisler, Andreas Kremer, Simone Leo, Sheng Lin-Gibson, Anna Marsano, Marco Mattavelli, Josh Moore, Hiroki Nakae, Isabelle Perseil, Ayat Salman, James P Sluka, Stian Soiland-Reyes, Caterina Strambio-De-Castilla, Michael D Sussman, Jason R Swedlow, Kurt Zatloukal, Joerg Geiger
Toward a common standard for data and specimen provenance in life sciences. Learning health systems 8 (1) (2023)
Markus Plass, Michaela Kargl, Tim-Rasmus Kiehl, Peter Regitnig, Christian Geißler, Theodore Evans, Norman Zerbe, Rita Carvalho, Andreas Philipp Hassler, Heimo Müller
Explainability and causability in digital pathology. The journal of pathology. Clinical research (2023)
Petr Holub, Heimo Müller, Tomáš Bíl, Luca Pireddu, Markus Plass, Fabian Prasser, Irene Schlünder, Kurt Zatloukal, Rudolf Nenutil, Tomáš Brázdil
Privacy risks of whole-slide image sharing in digital pathology. Nature communications 14 (1) (2023)
Justin D Krogue, Shekoofeh Azizi, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, Pema Richeson, Greg S Corrado, Lily H Peng, Craig H Mermel, Yuan Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas Montine, Jeanne Shen, David F Steiner, Ellery Wulczyn
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. Communications medicine 3 (1) (2023)
Petr Holub, Heimo Müller, Tomáš Bíl, Luca Pireddu, Markus Plass, Fabian Prasser, Irene Schlünder, Kurt Zatloukal, Rudolf Nenutil, Tomáš Brázdil
Privacy risks of whole-slide image sharing in digital pathology. Nature communications 14 (1) (2023)
Rudolf Wittner, Petr Holub, Cecilia Mascia, Francesca Frexia, Heimo Müller, Markus Plass, Clare Allocca, Fay Betsou, Tony Burdett, Ibon Cancio, Adriane Chapman, Martin Chapman, Mélanie Courtot, Vasa Curcin, Johann Eder, Mark Elliot, Katrina Exter, Carole Goble, Martin Golebiewski, Bron Kisler, Andreas Kremer, Simone Leo, Sheng Lin-Gibson, Anna Marsano, Marco Mattavelli, Josh Moore, Hiroki Nakae, Isabelle Perseil, Ayat Salman, James P Sluka, Stian Soiland-Reyes, Caterina Strambio-De-Castilla, Michael D Sussman, Jason R Swedlow, Kurt Zatloukal, Joerg Geiger
Toward a common standard for data and specimen provenance in life sciences. Learning health systems 8 (1) (2023)
Justin D Krogue, Shekoofeh Azizi, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, Pema Richeson, Greg S Corrado, Lily H Peng, Craig H Mermel, Yuan Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas Montine, Jeanne Shen, David F Steiner, Ellery Wulczyn
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. Communications medicine 3 (1) (2023)
Justin D Krogue, Shekoofeh Azizi, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, Pema Richeson, Greg S Corrado, Lily H Peng, Craig H Mermel, Yuan Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas Montine, Jeanne Shen, David F Steiner, Ellery Wulczyn
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. Communications medicine 3 (1) (2023)
Petr Holub, Heimo Müller, Tomáš Bíl, Luca Pireddu, Markus Plass, Fabian Prasser, Irene Schlünder, Kurt Zatloukal, Rudolf Nenutil, Tomáš Brázdil
Privacy risks of whole-slide image sharing in digital pathology. Nature communications 14 (1) (2023)
Justin D Krogue, Shekoofeh Azizi, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, Pema Richeson, Greg S Corrado, Lily H Peng, Craig H Mermel, Yuan Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas Montine, Jeanne Shen, David F Steiner, Ellery Wulczyn
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. Communications medicine 3 (1) (2023)
Justin D Krogue, Shekoofeh Azizi, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, Pema Richeson, Greg S Corrado, Lily H Peng, Craig H Mermel, Yuan Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas Montine, Jeanne Shen, David F Steiner, Ellery Wulczyn
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. Communications medicine 3 (1) (2023)
Rudolf Wittner, Petr Holub, Cecilia Mascia, Francesca Frexia, Heimo Müller, Markus Plass, Clare Allocca, Fay Betsou, Tony Burdett, Ibon Cancio, Adriane Chapman, Martin Chapman, Mélanie Courtot, Vasa Curcin, Johann Eder, Mark Elliot, Katrina Exter, Carole Goble, Martin Golebiewski, Bron Kisler, Andreas Kremer, Simone Leo, Sheng Lin-Gibson, Anna Marsano, Marco Mattavelli, Josh Moore, Hiroki Nakae, Isabelle Perseil, Ayat Salman, James P Sluka, Stian Soiland-Reyes, Caterina Strambio-De-Castilla, Michael D Sussman, Jason R Swedlow, Kurt Zatloukal, Joerg Geiger
Toward a common standard for data and specimen provenance in life sciences. Learning health systems 8 (1) (2023)
Petr Holub, Heimo Müller, Tomáš Bíl, Luca Pireddu, Markus Plass, Fabian Prasser, Irene Schlünder, Kurt Zatloukal, Rudolf Nenutil, Tomáš Brázdil
Privacy risks of whole-slide image sharing in digital pathology. Nature communications 14 (1) (2023)
Julia Höhn, Eva Krieghoff-Henning, Christoph Wies, Lennard Kiehl, Martin J Hetz, Tabea-Clara Bucher, Jitendra Jonnagaddala, Kurt Zatloukal, Heimo Müller, Markus Plass, Emilian Jungwirth, Timo Gaiser, Matthias Steeg, Tim Holland-Letz, Hermann Brenner, Michael Hoffmeister, Titus Josef Brinker
Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning. NPJ precision oncology 7 (1) (2023)
Petr Holub, Heimo Müller, Tomáš Bíl, Luca Pireddu, Markus Plass, Fabian Prasser, Irene Schlünder, Kurt Zatloukal, Rudolf Nenutil, Tomáš Brázdil
Privacy risks of whole-slide image sharing in digital pathology. Nature communications 14 (1) (2023)
Ellery Wulczyn, David F Steiner, Melissa Moran, Markus Plass, Robert Reihs, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Peter Regitnig, Po-Hsuan Cameron Chen, Narayan Hegde, Apaar Sadhwani, Robert MacDonald, Benny Ayalew, Greg S Corrado, Lily H Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yuan Liu, Martin C Stumpe, Kurt Zatloukal, Craig H Mermel
Interpretable survival prediction for colorectal cancer using deep learning. NPJ digital medicine 4 (1) (2021)
Ellery Wulczyn, Kunal Nagpal, Matthew Symonds, Melissa Moran, Markus Plass, Robert Reihs, Farah Nader, Fraser Tan, Yuannan Cai, Trissia Brown, Isabelle Flament-Auvigne, Mahul B Amin, Martin C Stumpe, Heimo Müller, Peter Regitnig, Andreas Philipp Hassler, Greg S Corrado, Lily H Peng, Po-Hsuan Cameron Chen, David F Steiner, Kurt Zatloukal, Yuan Liu, Craig H Mermel
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading. Communications medicine 1 (2021)