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Matthias Eisenmann
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2020 – today
- 2023
- [c6]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali
, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c5]Tobias Düser, Maximilian Fischer, Stefan Eric Schwarz, Annika Bastian, Jonas Freyer
Application of the Metaverse in Product Engineering - A Workshop for Identification of Potential Field of Action. METAVERSE 2023: 39-52 - [i11]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i10]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali
Why is the winner the best? CoRR abs/2303.17719 (2023) - 2022
- [j3]Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou
Surgical data science - from concepts toward clinical translation. Medical Image Anal. 76: 102306 (2022) - [j2]Kyle Lam
A Delphi consensus statement for digital surgery. npj Digit. Medicine 5 (2022) - [c4]Matthias Eisenmann, Minu Dietlinde Tizabi, Keno März, Lena Maier-Hein:
Abstract: How to Generate Patient Benefit with Surgical Data Science - Results of an International Delphi Process. Bildverarbeitung für die Medizin 2022: 113 - [i9]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i8]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [i7]Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - 2020
- [j1]Lena Maier-Hein, Annika Reinke, Michal Kozubek
BIAS: Transparent reporting of biomedical image analysis challenges. Medical Image Anal. 66: 101796 (2020) - [i6]Lena Maier-Hein, Martin Wagner, Tobias Roß, Annika Reinke, Sebastian Bodenstedt, Peter M. Full, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Anna Kisilenko, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Minu Tizabi, Matthias Eisenmann, Tim J. Adler, Janek Gröhl, Melanie Schellenberg, Silvia Seidlitz, T. Y. Emmy Lai, Veith Roethlingshoefer, Fabian Both, Sebastian Bittel, Marc Mengler, Martin Apitz, Stefanie Speidel, Hannes Götz Kenngott, Beat P. Müller-Stich:
Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room. CoRR abs/2005.03501 (2020) - [i5]Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Beat Peter Müller-Stich, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Hannes Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Pierre Jannin, Stefanie Speidel:
Surgical Data Science - from Concepts to Clinical Translation. CoRR abs/2011.02284 (2020)
2010 – 2019
- 2019
- [i4]Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman:
BIAS: Transparent reporting of biomedical image analysis challenges. CoRR abs/1910.04071 (2019) - 2018
- [c3]Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic
How to Exploit Weaknesses in Biomedical Challenge Design and Organization. MICCAI (4) 2018: 388-395 - [d1]Lena Maier-Hein
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. Zenodo, 2018 - [i3]Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - [i2]Lena Maier-Hein, Matthias Eisenmann, Carolin Feldmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Bernard Gibaud
Surgical Data Science: A Consensus Perspective. CoRR abs/1806.03184 (2018) - 2017
- [c2]Matthias Eisenmann, Patrick Scholz, Marko Stankovic, Pierre Jannin, Christian Stock, Lena Maier-Hein:
Abstract: Können wir Rankings vertrauen? Eine systematische Analyse biomedizinischer Challenges hinsichtlich Reporting und Design. Bildverarbeitung für die Medizin 2017: 49 - [i1]Lena Maier-Hein, S. Swaroop Vedula, Stefanie Speidel, Nassir Navab, Ron Kikinis, Adrian Park, Matthias Eisenmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Makoto Hashizume, Darko Katic, Hannes Kenngott, Michael Kranzfelder, Anand Malpani, Keno März, Thomas Neumuth, Nicolas Padoy, Carla M. Pugh, Nicolai Schoch, Danail Stoyanov, Russell H. Taylor, Martin Wagner, Gregory D. Hager, Pierre Jannin:
Surgical Data Science: Enabling Next-Generation Surgery. CoRR abs/1701.06482 (2017) - 2014
- [c1]Lena Maier-Hein, Sven Mersmann, Daniel Kondermann, Sebastian Bodenstedt
Can Masses of Non-Experts Train Highly Accurate Image Classifiers? - A Crowdsourcing Approach to Instrument Segmentation in Laparoscopic Images. MICCAI (2) 2014: 438-445
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