| Computed tomography reconstruction using deep image prior and learned reconstruction methods DO Baguer, J Leuschner, M Schmidt Inverse Problems 36 (9), 094004, 2020 | 202 | 2020 |
| LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction J Leuschner, M Schmidt, DO Baguer, P Maass Scientific Data 8 (1), 109, 2021 | 95 | 2021 |
| Highly Active N, O Zinc Guanidine Catalysts for the Ring‐Opening Polymerization of Lactide PM Schäfer, M Fuchs, A Ohligschläger, R Rittinghaus, P McKeown, E Akin, ... ChemSusChem 10 (18), 3547-3556, 2017 | 73 | 2017 |
| Considering the shareholder perspective: value-based management systems and stock market performance MS Rapp, D Schellong, M Schmidt, M Wolff Review of Managerial Science 5, 171-194, 2011 | 67 | 2011 |
| Supervised non-negative matrix factorization methods for MALDI imaging applications J Leuschner, M Schmidt, P Fernsel, D Lachmund, T Boskamp, P Maass Bioinformatics 35 (11), 1940-1947, 2019 | 64 | 2019 |
| Quantitative comparison of deep learning-based image reconstruction methods for low-dose and sparse-angle CT applications J Leuschner, M Schmidt, PS Ganguly, V Andriiashen, SB Coban, ... Journal of Imaging 7 (3), 44, 2021 | 61 | 2021 |
| Non-thermal fixed points and solitons in a one-dimensional Bose gas M Schmidt, S Erne, B Nowak, D Sexty, T Gasenzer New Journal of Physics 14 (7), 075005, 2012 | 60 | 2012 |
| Backfiltration in hemodialyzers with highly permeable membranes: an in vitro and in vivo investigation M Schmidt, CA Baldamus, W Schoeppe Blood purification 2 (2), 108-114, 1984 | 59 | 1984 |
| Cellulose ethers H Thielking, M Schmidt Ullmann's encyclopedia of industrial chemistry, 2000 | 54 | 2000 |
| The lodopab-ct dataset: A benchmark dataset for low-dose ct reconstruction methods J Leuschner, M Schmidt, DO Baguer, P Maaß arXiv preprint arXiv:1910.01113, 2019 | 51 | 2019 |
| Product-state distributions in the dissociative recombination of and J Semaniak, S Rosen, G Sundström, C Strömholm, S Datz, H Danared, ... Physical Review A 54 (6), R4617, 1996 | 48 | 1996 |
| Conditional invertible neural networks for medical imaging A Denker, M Schmidt, J Leuschner, P Maass Journal of Imaging 7 (11), 243, 2021 | 44 | 2021 |
| Structural behavior of large-scale I-beams with combined textile and CFRP reinforcement J Bielak, M Schmidt, J Hegger, F Jesse Applied Sciences 10 (13), 4625, 2020 | 39 | 2020 |
| Superior catalyst recycling in surfactant based multiphase systems–Quo vadis catalyst complex? T Pogrzeba, D Müller, M Illner, M Schmidt, Y Kasaka, A Weber, G Wozny, ... Chemical Engineering and Processing: Process Intensification 99, 155-166, 2016 | 36 | 2016 |
| In-situ study of the impact of temperature and architecture on the interfacial structure of microgels S Bochenek, F Camerin, E Zaccarelli, A Maestro, MM Schmidt, ... Nature communications 13 (1), 3744, 2022 | 34 | 2022 |
| A novel process concept for the three step Boscalid® synthesis I Volovych, M Neumann, M Schmidt, G Buchner, JY Yang, J Wölk, ... RSC Advances 6 (63), 58279-58287, 2016 | 34 | 2016 |
| Influence of charges on the behavior of polyelectrolyte microgels confined to oil–water interfaces MM Schmidt, S Bochenek, AA Gavrilov, II Potemkin, W Richtering Langmuir 36 (37), 11079-11093, 2020 | 33 | 2020 |
| Shear response of members without shear reinforcement—experiments and analysis using shear crack propagation theory (SCPT) M Schmidt, P Schmidt, S Wanka, M Classen Applied Sciences 11 (7), 3078, 2021 | 31 | 2021 |
| Phase behavior of ultrasoft spheres show stable bcc lattices A Scotti, JE Houston, M Brugnoni, MM Schmidt, MF Schulte, S Bochenek, ... Physical Review E 102 (5), 052602, 2020 | 30 | 2020 |
| Normalizing flows for novelty detection in industrial time series data M Schmidt, M Simic arXiv preprint arXiv:1906.06904, 2019 | 30 | 2019 |
