Context-aware Augmented Reality in laparoscopic surgery. - Darko Katic; Anna-Laura Wekerle; Jochen Görtler; Patrick Spengler; Sebastian Bodenstedt; Sebastian Röhl; Stefan Suwelack; Hannes Götz Kenngott; Martin Wagner 001; Beat Peter Müller-Stich; Rüdiger Dillmann; Stefanie Speidel (Comput. Medical Imaging Graph., 2013)

Strukturidentifikation mittels Superpixel in der Laparoskopie. - Sebastian Bodenstedt; Jochen Görtler; Martin Wagner 001; Hannes Kenngott; Beat P. Müller-Stich; Rüdiger Dillmann; Stefanie Speidel (CURAC, 2015)

Superpixel-based structure classification for laparoscopic surgery. - Sebastian Bodenstedt; Jochen Görtler; Martin Wagner 001; Hannes Kenngott; Beat Peter Müller-Stich; Rüdiger Dillmann; Stefanie Speidel (Image-Guided Procedures, 2016)

Probabilistic Graph Layout for Uncertain Network Visualization. - Christoph Schulz 001; Arlind Nocaj; Jochen Görtler; Oliver Deussen; Ulrik Brandes; Daniel Weiskopf (IEEE Trans. Vis. Comput. Graph., 2017)

Bubble Treemaps for Uncertainty Visualization. - Jochen Görtler; Christoph Schulz 001; Daniel Weiskopf; Oliver Deussen (IEEE Trans. Vis. Comput. Graph., 2018)

Stippling of 2D Scalar Fields. - Jochen Görtler; Marc Spicker; Christoph Schulz 001; Daniel Weiskopf; Oliver Deussen (IEEE Trans. Vis. Comput. Graph., 2019)

Uncertainty-Aware Principal Component Analysis. - Jochen Görtler; Thilo Spinner; Dirk Streeb; Daniel Weiskopf; Oliver Deussen (IEEE Trans. Vis. Comput. Graph., 2020)

Predicting intent behind selections in scatterplot visualizations. - Kiran Gadhave; Jochen Görtler; Zach Cutler; Carolina Nobre; Oliver Deussen; Miriah Meyer; Jeff M. Phillips; Alexander Lex (Inf. Vis., 2021)

Quantitative Methods for Uncertainty Visualization. - Jochen Görtler (2021)

Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. - Jochen Görtler; Fred Hohman; Dominik Moritz; Kanit Wongsuphasawat; Donghao Ren; Rahul Nair; Marc Kirchner; Kayur Patel (CHI, 2022)

SPEULER: Semantics-preserving Euler Diagrams. - Rebecca Kehlbeck; Jochen Görtler; Yunhai Wang; Oliver Deussen (IEEE Trans. Vis. Comput. Graph., 2022)

Replication Data for: Uncertainty-Aware Principal Component Analysis. - Jochen Görtler; Thilo Spinner; Daniel Weiskopf; Oliver Deussen (DaRUS, 2022)

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference. - Fred Hohman; Chaoqun Wang 002; Jinmook Lee; Jochen Görtler; Dominik Moritz; Jeffrey P. Bigham; Zhile Ren; Cecile Foret; Qi Shan; Xiaoyi Zhang 006 (CHI, 2024)