14 citations as recorded by crossref.

1. AMD-HookNet for Glacier Front Segmentation F. Wu et al. 10.1109/TGRS.2023.3245419
2. Capturing the transition from marine to land-terminating glacier from the 126-year retreat history of Nordenskiöldbreen, Svalbard J. Kavan et al. 10.1017/jog.2023.92
3. Advances in monitoring glaciological processes in Kalallit Nunaat (Greenland) over the past decades D. Fahrner et al. 10.1371/journal.pclm.0000379
4. A Deep Active Contour Model for Delineating Glacier Calving Fronts K. Heidler et al. 10.1109/TGRS.2023.3296539
5. Calving front monitoring at a subseasonal resolution: a deep learning application for Greenland glaciers E. Loebel et al. 10.5194/tc-18-3315-2024
6. Out-of-the-box calving-front detection method using deep learning O. Herrmann et al. 10.5194/tc-17-4957-2023
7. A high-resolution calving front data product for marine-terminating glaciers in Svalbard T. Li et al. 10.5194/essd-16-919-2024
8. GLA-STDeepLab: SAR Enhancing Glacier and Ice Shelf Front Detection Using Swin-TransDeepLab With Global–Local Attention Q. Zhu et al. 10.1109/TGRS.2023.3324404
9. Contextual HookFormer for Glacier Calving Front Segmentation F. Wu et al. 10.1109/TGRS.2024.3368215
10. Analysis of continuous calving front retreat and the associated influencing factors of the Thwaites Glacier using high-resolution remote sensing data from 2015 to 2023 Q. Zhu et al. 10.1080/17538947.2024.2390438
11. AutoTerm: an automated pipeline for glacier terminus extraction using machine learning and a “big data” repository of Greenland glacier termini E. Zhang et al. 10.5194/tc-17-3485-2023
12. Investigating the dynamics and interactions of surface features on Pine Island Glacier using remote sensing and deep learning Q. Zhu et al. 10.1016/j.accre.2024.07.011
13. Out-of-the-box calving-front detection method using deep learning O. Herrmann et al. 10.5194/tc-17-4957-2023
14. Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture radar imagery N. Gourmelon et al. 10.5194/essd-14-4287-2022