Computed tomography reconstruction using deep image prior and learned reconstruction methods DO Baguer, J Leuschner, M Schmidt Inverse Problems 36 (9), 094004, 2020 | 163 | 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 | 70 | 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 | 68 | 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 | 61 | 2011 |
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 | 60 | 1984 |
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 | 59 | 2012 |
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 | 53 | 2019 |
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 | 48 | 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 |
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 | 45 | 2021 |
Conditional invertible neural networks for medical imaging A Denker, M Schmidt, J Leuschner, P Maass Journal of Imaging 7 (11), 243, 2021 | 37 | 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 | 35 | 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 | 33 | 2016 |
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 | 30 | 2016 |
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 | 26 | 2021 |
Micellar enhanced ultrafiltration of a rhodium catalyst M Schwarze, M Schmidt, LAT Nguyen, A Drews, M Kraume, ... Journal of membrane science 421, 165-171, 2012 | 26 | 2012 |
Status of the Sulzer Hexis product development R Diethelm, M Schmidt, K Honegger, E Batawi ECS Proceedings Volumes 1999 (1), 60, 1999 | 23 | 1999 |
Normalizing flows for novelty detection in industrial time series data M Schmidt, M Simic arXiv preprint arXiv:1906.06904, 2019 | 22 | 2019 |
Should I stay, or should I go?–How fund dynamics influence venture capital exit decisions C Bock, M Schmidt Review of Financial Economics 27, 68-82, 2015 | 21 | 2015 |
The limited partnership model in private equity: Deal returns over a fund's life R Braun, M Schmidt Center for Entrepreneurial and Financial Studies Working Paper, 2014 | 21 | 2014 |