| |
Author |
Title |
Year |
Publication  |
Volume |
Times cited |
Additional Links |
Links |
|
|
Friedrich, T. |
Quantifying atomic structures using neural networks from 4D scanning transmission electron microscopy (STEM) datasets |
2023 |
|
|
|
UA library record |
|
|
|
Dinger, J.; Friedrich, T.; Reimann, T.; Toepfer, J. |
NiMn₂O₄ revisited : temperature-dependent cation distribution from in situ neutron diffraction and thermopower studies |
2023 |
Journal of the American Ceramic Society |
106 |
|
UA library record; WoS full record |
|
|
|
Yu, C.-P.; Friedrich, T.; Jannis, D.; Van Aert, S.; Verbeeck, J. |
Real-Time Integration Center of Mass (riCOM) Reconstruction for 4D STEM |
2022 |
Microscopy and microanalysis |
|
7 |
UA library record; WoS full record; WoS citing articles |
|
|
|
Friedrich, T.; Yu, C.-P.; Verbeeck, J.; Van Aert, S. |
Phase object reconstruction for 4D-STEM using deep learning |
2023 |
Microscopy and microanalysis |
29 |
1 |
UA library record; WoS full record; WoS citing articles |
|
|
|
Lobato, I.; Friedrich, T.; Van Aert, S. |
Deep convolutional neural networks to restore single-shot electron microscopy images |
2024 |
npj Computational Materials |
10 |
|
UA library record; WoS full record |
|
|
|
Friedrich, T.; Yu, C.-P.; Verbeek, J.; Pennycook, T.; Van Aert, S. |
Phase retrieval from 4-dimensional electron diffraction datasets |
2021 |
Proceedings
T2 – IEEE International Conference on Image Processing (ICIP), SEP 19-22, 2021, Electr. network |
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|
UA library record; WoS full record; WoS citing articles |
|
|
|
Sentürk, D.G.; De Backer, A.; Friedrich, T.; Van Aert, S. |
Optimal experiment design for element specific atom counting using multiple annular dark field scanning transmission electron microscopy detectors |
2022 |
Ultramicroscopy |
242 |
|
UA library record; WoS full record; WoS citing articles |
|
