| Severe COVID-19 is marked by a dysregulated myeloid cell compartment J Schulte-Schrepping, N Reusch, D Paclik, K Baßler, S Schlickeiser, ... Cell 182 (6), 1419-1440. e23, 2020 | 1259 | 2020 |
| Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients AC Aschenbrenner, M Mouktaroudi, B Kraemer, M Oestreich, ... Genome Medicine 13 (1), 1-25, 2021 | 227 | 2021 |
| Scalable prediction of acute myeloid leukemia using high-dimensional machine learning and blood transcriptomics S Warnat-Herresthal, K Perrakis, B Taschler, M Becker, K Baßler, M Beyer, ... Iscience 23 (1), 100780, 2020 | 55 | 2020 |
| Model-based segmentation in orbital volume measurement with cone beam computed tomography and evaluation against current concepts MEH Wagner, NC Gellrich, KI Friese, M Becker, FE Wolter, JT Lichtenstein, ... International journal of computer assisted radiology and surgery 11 (1), 1-9, 2016 | 43 | 2016 |
| Suppressive myeloid cells are a hallmark of severe COVID-19 J Schulte-Schrepping, N Reusch, D Paclik, K Baßler, S Schlickeiser, ... medRxiv, 2020 | 29 | 2020 |
| Swarm Learning as a privacy-preserving machine learning approach for disease classification S Warnat-Herresthal, H Schultze, KPL Shastry, S Manamohan, ... bioRxiv, 2020 | 27 | 2020 |
| Shiny-Seq: advanced guided transcriptome analysis Z Sundararajan, R Knoll, P Hombach, M Becker, JL Schultze, T Ulas BMC research notes 12 (1), 1-5, 2019 | 27 | 2019 |
| Deformable Models in Medical Image Segmentation M Becker, N Magnenat-Thalmann 3D Multiscale Physiological Human, 81-106, 2014 | 24 | 2014 |
| Towards Understanding Communication Structure in Pair Programming K Stapel, E Knauss, K Schneider, M Becker Agile Processes in Software Engineering and Extreme Programming, 117-131, 2010 | 20 | 2010 |
| Alterations of multiple alveolar macrophage states in chronic obstructive pulmonary disease K Bassler, W Fujii, TS Kapellos, A Horne, B Reiz, E Dudkin, M Luecken, ... bioRxiv, 2020 | 15 | 2020 |
| A rule-based data-informed cellular consensus map of the human mononuclear phagocyte cell space P Günther, B Cirovic, K Baßler, K Händler, M Becker, CA Dutertre, ... BioRxiv, 658179, 2019 | 14 | 2019 |
| A computational approach to calculate personalized pennation angle based on MRI: effect on motion analysis A Chincisan, K Tecante, M Becker, N Magnenat-Thalmann, C Hurschler, ... International journal of computer assisted radiology and surgery 11 (5), 683-693, 2016 | 12 | 2016 |
| FASTGenomics: An analytical ecosystem for single-cell RNA sequencing data CJ Scholz, P Biernat, M Becker, K Baßler, P Günther, J Balfer, H Dickten, ... bioRxiv, 272476, 2018 | 10 | 2018 |
| Scaling genomics data processing with memory-driven computing to accelerate computational biology M Becker, U Worlikar, S Agrawal, H Schultze, T Ulas, S Singhal, ... International Conference on High Performance Computing, 328-344, 2020 | 9 | 2020 |
| Dynamic skin deformation based on biomechanical modeling L Assassi, M Becker, N Magnenat-Thalmann Proceedings of the 25th Annual Conference on Computer Animation and Social …, 2012 | 9 | 2012 |
| A novel computational architecture for large-scale genomics M Becker, H Schultze, K Bresniker, S Singhal, T Ulas, JL Schultze Nature Biotechnology 38 (11), 1239-1241, 2020 | 7 | 2020 |
| Memory-driven computing accelerates genomic data processing M Becker, M Chabbi, S Warnat-Herresthal, K Klee, J Schulte-Schrepping, ... bioRxiv, 519579, 2019 | 6 | 2019 |
| Development of a reliable method for orbit segmentation & measuring M Becker, KI Friese, FE Wolter, NC Gellrich, H Essig 2015 IEEE International Symposium on Medical Measurements and Applications …, 2015 | 6 | 2015 |
| Accelerated genomics data processing using memory-driven computing M Becker, M Chabbi, S Warnat-Herresthal, U Worlikar, S Agrawal, J Bhat, ... 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 4 | 2019 |
| A Bioinformatic Toolkit for Single-Cell mRNA Analysis K Baßler, P Günther, J Schulte-Schrepping, M Becker, P Biernat Single Cell Methods, 433-455, 2019 | 3 | 2019 |
