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European Urology Focus|June 14, 2021
Common Pitfalls and Recommendations for Grand Challenges in Medical Artificial IntelligenceAnnika Reinke, Minu D Tizabi, Matthias Eisenmann, et al.Scientific Reports|January 28, 2021
Methods and open-source toolkit for analyzing and visualizing challenge resultsManuel Wiesenfarth, Annika Reinke, Bennett A Landman, et al.Medical Image Analysis|September 10, 2020
BIAS: Transparent reporting of biomedical image analysis challengesLena Maier-Hein, Annika Reinke, Michal Kozubek, et al.Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Large-scale medical image annotation with crowd-powered algorithmsEric Heim, Tobias Roß, Alexander Seitel, et al.Scientific Reports|June 19, 2024
Miniaturized electromagnetic tracking enables efficient ultrasound-navigated needle insertionsAlexander Seitel, Daniel Groener, Matthias Eisenmann, et al.Scientific Data|April 13, 2021
Heidelberg colorectal data set for surgical data science in the sensor operating roomLena Maier-Hein, Martin Wagner, Tobias Ross, et al.Nature Communications|February 1, 2019
Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with careLena Maier-Hein, Matthias Eisenmann, Annika Reinke, et al.Nature Communications|December 8, 2018
Why rankings of biomedical image analysis competitions should be interpreted with careLena Maier-Hein, Matthias Eisenmann, Annika Reinke, et al.NPJ Digital Medicine|July 19, 2022
A Delphi consensus statement for digital surgeryKyle Lam, Michael D Abràmoff, José M Balibrea, et al.Medical Image Analysis|December 8, 2021
Surgical data science - from concepts toward clinical translationLena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, et al.Pageof 2