Intrinsic-extrinsic convolution and pooling for learning on 3d protein structures P Hermosilla, M Schäfer, M Lang, G Fackelmann, PP Vázquez, ... arXiv preprint arXiv:2007.06252, 2020 | 69 | 2020 |
Visual Analysis of Large‐Scale Protein‐Ligand Interaction Data K Schatz, JJ Franco‐Moreno, M Schäfer, AS Rose, V Ferrario, J Pleiss, ... Computer Graphics Forum 40 (6), 394-408, 2021 | 9 | 2021 |
InVADo: interactive visual analysis of molecular docking data M Schäfer, N Brich, J Byška, SM Marques, D Bednář, P Thiel, B Kozlíková, ... IEEE Transactions on Visualization and Computer Graphics, 2023 | 4 | 2023 |
A massively parallel CUDA algorithm to compute and visualize the solvent excluded surface for dynamic molecular data M Schäfer, M Krone The Eurographics Association, 2019 | 4 | 2019 |
ProteiNN: Intrinsic-Extrinsic Convolution and Pooling for Scalable Deep Protein Analysis P Hermosilla, M Schäfer, M Lang, G Fackelmann, PP Vázquez, ... arXiv preprint arXiv:2007.06252, 2020 | 3 | 2020 |
Analyzing the similarity of protein domains by clustering Molecular Surface Maps K Schatz, F Friess, M Schäfer, PCF Buchholz, J Pleiss, T Ertl, M Krone Computers & Graphics 99, 114-127, 2021 | 2 | 2021 |
Comparative visual analysis of molecular dynamics M Bok, M Schäfer, N Brich, K Schreiner, V Fäßler, M Keckeisen, ... Eurographics workshop on visual computing for biology and medicine, 2022 | 1 | 2022 |
Analyzing Protein Similarity by Clustering Molecular Surface Maps. K Schatz, F Frieß, M Schäfer, T Ertl, M Krone VCBM, 103-114, 2020 | 1 | 2020 |
Towards an Enhanced Interactive Protein Sequence Diagram M Schäfer, A Cremer, M Aktürk, M Krone | | 2020 |
Optimierung des Rekonstruktions-Tools TSNI für genregulatorische Netzwerke mittels Parallelisierung und ein Vergleich mit Time Delay ARACNE M Schäfer, C Jetschni, C Wang, H Pospisil Wissenschaftliche Beiträge 2019 23, 7-10, 2019 | | 2019 |