%0 Journal Article %1 2022 %A Arndt, Clemens %A Denker, Alexander %A Nickel, Judith %A Leuschner, Johannes %A Schmidt, Maximilian %A Rigaud, Gael %D 2022 %I American Institute of Mathematical Sciences (AIMS) %J Inverse Problems and Imaging %K EXC2075 PN6 PN6-9 curated %N 0 %P 0--0 %R 10.3934/ipi.2022061 %T In Focus - hybrid deep learning approaches to the HDC2021 challenge %U https://doi.org/10.3934%2Fipi.2022061 %V 0

@article{2022, added-at = {2023-10-30T10:42:24.000+0100}, author = {Arndt, Clemens and Denker, Alexander and Nickel, Judith and Leuschner, Johannes and Schmidt, Maximilian and Rigaud, Gael}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/246f0476d332064fbb5f1a0961a103122/simtech}, doi = {10.3934/ipi.2022061}, interhash = {d827685a803c1189b197c35b8f583c11}, intrahash = {46f0476d332064fbb5f1a0961a103122}, journal = {Inverse Problems and Imaging}, keywords = {EXC2075 PN6 PN6-9 curated}, number = 0, pages = {0--0}, publisher = {American Institute of Mathematical Sciences ({AIMS})}, timestamp = {2023-11-08T16:37:05.000+0100}, title = {In Focus - hybrid deep learning approaches to the {HDC}2021 challenge}, url = {https://doi.org/10.3934%2Fipi.2022061}, volume = 0, year = 2022 }