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Nora Gourmelon
Orcid ID:
0000-0003-3760-0184
List of publications:
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Lehrstuhl für Informatik 5 (Mustererkennung)
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)
Award(s)
(1)
Project Memberships
(3)
Publications
(16)
Types of publications
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Journal article
Journal article
Book chapter / Article in edited volumes
Book chapter / Article in edited volumes
Authored book
Authored book
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Translation
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Thesis
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Edited Volume
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Conference contribution
Other publication type
Other publication type
Unpublished / Preprint
Unpublished / Preprint
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IceAnatomy: a benchmark dataset and methodology for automatic ice boundary extraction from radio-echo sounding data (2025)
Dreier MN, Koch M, Gourmelon N, Blindow N, Steinhage D, Wu F, Seehaus T, et al.
Journal article, Online publication
PASAL: Progress- and sparsity-aware loss balancing for heterogeneous dataset fusion (2025)
Gorges T, Scholz T, Saloman S, Zinnen M, Hoffmann J, Gourmelon N, Maier A, et al.
Journal article
SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery (2025)
Gourmelon N, Dreier MN, Mayr M, Seehaus T, Pyles DR, Braun M, Maier A, Christlein V
Journal article
Valuation of confidentiality and availability in a personal ransomware attack scenario (2025)
Gassmann F, Beck J, Gourmelon N, Benenson Z
Journal article
Contextual HookFormer for Glacier Calving Front Segmentation (2024)
Wu F, Gourmelon N, Seehaus T, Zhang J, Braun M, Maier A, Christlein V
Journal article, Original article
A Benchmark Dataset for Radio Echo Sounding Data (2024)
Dreier MN, Gourmelon N, Koch M, Seehaus T, Braun M, Maier A, Christlein V
Conference contribution, Abstract of a poster
Out-of-the-box Calving Front Detection Method Using Deep Learning (2023)
Herrmann O, Gourmelon N, Seehaus T, Maier A, Fürst J, Braun M, Christlein V
Journal article, Original article
CaFFe - a Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery (2023)
Gourmelon N, Seehaus T, Klink J, Braun M, Maier A, Christlein V
Conference contribution, Conference Contribution
Conditional Random Fields for Improving Deep Learning-based Glacier Calving Front Delineations (2023)
Gourmelon N, Klink J, Seehaus T, Braun M, Maier A, Christlein V
Conference contribution, Conference Contribution
AMD-HookNet for Glacier Front Segmentation (2023)
Wu F, Gourmelon N, Seehaus T, Zhang J, Braun M, Maier A, Christlein V
Journal article, Original article
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