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jvs@uni-bremen.de PI: Thorsten Dickhaus Start: 01.07.2017 Defense: 28.01.2022 © Das gute Portrait SörenDittmer Industrial Mathematics sdittmer@math.uni-bremen.de PI: Peter Maaß Start: 16.10.2017 Defense: 02 [...] runge@uni-bremen.de PI: Christof Büskens Start: 01.10.2016 Parental leave: 06.2018 - 08.2019 © Sören Schulze Sören Schulze Computational Data Analysis sschulze@math.uni-bremen.de PI: Emily King Start: 01.07
Bereich: FB3
Betreuer: Dr. SörenDittmer 26.09.2022 Nikolas Dreverhoff (Technomathematik) Unsupervised Denoising von Magnetic-Particle-Imaging-Messungen durch Neuronale Netze. Betreuer: Dr. SörenDittmer 08.09.2022 2021 [...] ng eingereicht. S. Dittmer, P. Maaß. A Projectional Ansatz to Reconstruction. Zur Veröffentlichung eingereicht. online unter: https://arxiv.org/abs/1907.04675 D. Erzmann, S. Dittmer. Equivariant Neural [...] Dr. Iwona Piotrowska-Kurczewski Zweitgutachter: Prof. Dr. Dr. h.c. Peter Maaß 09.08.2021 2020 SörenDittmer On deep learning applied to inverse problems – A chicken-and-egg problem Erstgutachter: Prof.
Optimizers (summer term 2021) [Eva Dierkes, Lennart Evers, Ivan Mykhailiuk, Grace Anulika Eze, SörenDittmer] Deep Learning (summer term 2021) [Pascal Rink, Serhat Günay] Applied topological data analysis
Dr. Iwona Piotrowska-Kurczewski Zweitgutachter: Prof. Dr. Dr. h.c. Peter Maaß 09.08.2021 2020 SörenDittmer On deep learning applied to inverse problems – A chicken-and-egg problem Erstgutachter: Prof. [...] ) Inverse Problems Learning – data specific regularizations using projections. Betreuer: Dr. SörenDittmer, Prof. Dr. Dr. h.c. Peter Maaß 26.09.2022 Rudolf Herdt (Masterarbeit Technomathematik) Interp [...] Unsupervised Denoising von Magnetic-Particle-Imaging-Messungen durch Neuronale Netze. Betreuer: Dr. SörenDittmer, Prof. Dr. Dr. h.c. Peter Maaß 08.09.2022 Dennis Hottendorff (Masterarbeit Technomathematik)
). The application of a CNN (3D autoencoder) to 3D MPI reconstructions has been introduced by SörenDittmer (Deep image prior for 3D MPI: A quantitative comparison of different regularization techniques
perturbations on a periodic dielectric surface structure. Download Poster © Das gute Portrait SörenDittmer Industrial Mathematics sdittmer@math.uni-bremen.de PI: Peter Maaß Start: 16.10.2017 Defense: 02 [...] will be applied to hyper-spectral images obtained using MALDI-TOF imaging. Download Poster © Sören Schulze Sören Schulze Computational Data Analysis sschulze@math.uni-bremen.de PI: Emily King Start: 01.07
Abstract This thesis’s primary focus is on the application of deep learning methods to inverse problems. More specifically, it tries to advance the application of inverse problems for cases where stra