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Maximilian Schmidt
Maximilian Schmidt
Researcher of Entrepreneurial Finance, Technische Universität München (TUM)
Geverifieerd e-mailadres voor wi.tum.de
Titel
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Computed tomography reconstruction using deep image prior and learned reconstruction methods
DO Baguer, J Leuschner, M Schmidt
Inverse Problems 36 (9), 094004, 2020
1612020
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
702021
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
682017
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
612011
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
601984
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
592012
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
532019
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
481996
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
472019
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
442021
Conditional invertible neural networks for medical imaging
A Denker, M Schmidt, J Leuschner, P Maass
Journal of Imaging 7 (11), 243, 2021
362021
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
352020
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
332016
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
302016
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
262021
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
262012
Status of the Sulzer Hexis product development
R Diethelm, M Schmidt, K Honegger, E Batawi
ECS Proceedings Volumes 1999 (1), 60, 1999
231999
Normalizing flows for novelty detection in industrial time series data
M Schmidt, M Simic
arXiv preprint arXiv:1906.06904, 2019
222019
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
212015
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
212014
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Artikelen 1–20