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T. Friedrich

3 papers hereh-index 10422 citations38 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci2
  • physics.med-ph1
same name
  • T. Friedrich — 91 papers, h 43
  • T. Friedrich — 45 papers, h 31
  • T. Friedrich — 5 papers, h 5
  • T. Friedrich — 2 papers, h 1
  • T. Friedrich — 1 paper, h 2
  • T. Friedrich — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedPhase Object Reconstruction for 4D-STEM using Deep Learning

22 citations · 22 across the 2 of their papers we have counts for

collaborators

3 papers

cond-mat.mtrl-sci2022★ 22 cited

Phase Object Reconstruction for 4D-STEM using Deep Learning

Thomas Friedrich, Chu-Ping Yu, Jo Verbeeck +1

In this study we explore the possibility to use deep learning for the reconstruction of phase images from 4D scanning transmission electron microscopy (4D-STEM) data. The process c…

cond-mat.mtrl-sci2021

Phase retrieval from 4-dimensional electron diffraction datasets

Thomas Friedrich, Chu-Ping Yu, Johan Verbeek +2

We present a computational imaging mode for large scale electron microscopy data, which retrieves a complex wave from noisy/sparse intensity recordings using a deep learning approa…

physics.med-ph2017

Towards Picogram Detection of Superparamagnetic Iron-Oxide Particles Using a Gradiometric Receive Coil

Matthias Gräser, Tobias Knopp, Patryk Szwargulski +7

Superparamagnetic iron-oxide nanoparticles can be used in a variety of medical applications like vascular or targeted imaging. Magnetic particle imaging (MPI) is a promising tomogr…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.