Conditional Random Fields for Improving Deep Learning-Based Glacier Calving Front Delineations. - Nora Gourmelon; Julian Klink; Thorsten Seehaus; Matthias H. Braun; Andreas K. Maier; Vincent Christlein (IGARSS, 2023)

Caffe - A Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery. - Nora Gourmelon; Thorsten Seehaus; Julian Klink; Matthias Braun 001; Andreas Maier 001; Vincent Christlein (IGARSS, 2023)

AMD-HookNet for Glacier Front Segmentation. - Fei Wu 025; Nora Gourmelon; Thorsten Seehaus; Jianlin Zhang 001; Matthias H. Braun; Andreas K. Maier; Vincent Christlein (IEEE Trans. Geosci. Remote. Sens., 2023)

Contextual HookFormer for Glacier Calving Front Segmentation. - Fei Wu 025; Nora Gourmelon; Thorsten Seehaus; Jianlin Zhang 001; Matthias H. Braun; Andreas K. Maier; Vincent Christlein (IEEE Trans. Geosci. Remote. Sens., 2024)

PASAL: Progress- and sparsity-aware loss balancing for heterogeneous dataset fusion. - Thomas Gorges; Teresa Scholz; Stefan Saloman; Mathias Zinnen; Juliane Hoffmann; Nora Gourmelon; Andreas Maier 001; Sebastian Hettenkofer; Vincent Christlein (Inf. Fusion, 2025)

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction From SAR Imagery. - Nora Gourmelon; Marcel Dreier; Martin Mayr; Thorsten Seehaus; Dakota Pyles; Matthias H. Braun; Andreas K. Maier; Vincent Christlein (IEEE Trans. Geosci. Remote. Sens., 2025)

Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning. - Nora Gourmelon; Konrad Heidler; Erik Loebel; Daniel Cheng; Julian Klink; Anda Dong; Fei Wu 025; Noah Maul; Moritz Koch; Marcel Dreier; Dakota Pyles; Thorsten Seehaus; et al. (CoRR, 2025)