A Massively Parallel CUDA Algorithm to Compute and Visualize the Solvent Excluded Surface for Dynamic Molecular Data. - Marco Schäfer; Michael Krone (MolVa@EuroVis, 2019)

Analyzing Protein Similarity by Clustering Molecular Surface Maps. - Karsten Schatz; Florian Frieß; Marco Schäfer; Thomas Ertl; Michael Krone (VCBM, 2020)

ProteiNN: Intrinsic-Extrinsic Convolution and Pooling for Scalable Deep Protein Analysis. - Pedro Hermosilla; Marco Schäfer; Matej Lang; Gloria Fackelmann; Pere-Pau Vázquez; Barbora Kozlíková; Michael Krone; Tobias Ritschel 001; Timo Ropinski (CoRR, 2020)

Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures. - Pedro Hermosilla; Marco Schäfer; Matej Lang; Gloria Fackelmann; Pere-Pau Vázquez; Barbora Kozlíková; Michael Krone; Tobias Ritschel 001; Timo Ropinski (ICLR, 2021)

Analyzing the similarity of protein domains by clustering Molecular Surface Maps. - Karsten Schatz; Florian Frieß; Marco Schäfer; Patrick C. F. Buchholz; Jürgen Pleiss; Thomas Ertl; Michael Krone (Comput. Graph., 2021)

Visual Analysis of Large-Scale Protein-Ligand Interaction Data. - Karsten Schatz; Juan José Franco-Moreno; Marco Schäfer; Alexander S. Rose; Valerio Ferrario; Jürgen Pleiss; Pere-Pau Vázquez; Thomas Ertl; Michael Krone (Comput. Graph. Forum, 2021)

InVADo: Interactive Visual Analysis of Molecular Docking Data. - Marco Schäfer; Nicolas Brich; Jan Byska; Sérgio M. Marques; David Bednár; Philipp Thiel; Barbora Kozlíková; Michael Krone (IEEE Trans. Vis. Comput. Graph., 2024)