IBI: Publications https://www.tuhh.de/ibi/publications?showUid=191170&cHash=316bef24a4564441d6f0d9a300386a6f
TotalSegmentator combines a large CT dataset and the well-established nnU-Net framework to train
TotalSegmentator combines a large CT dataset and the well-established nnU-Net framework to train
ET6 > Directions Directions Coming from Hamburg-Harburg Train
ET6 > Directions Directions Coming from Hamburg-Harburg Train
More LESSMAT – Lightweight system for passenger trains
Reconstruction of low-rank tensors Tensor trains (with Željka Stojanac, Daniel Suess
Before the process can be applied, it is of course necessary to train the CNN for
Each data sets includes 12080 sinograms, split in train (60%), validation (20%) and
Most prominently, matrix product states (MPS) (a.k.a. tensor trains) are the workhorse
the principle „Technology for Humanity“, Hamburg University of Technology (TUHH) trains
More LESSMAT – Lightweight system for passenger trains