Leveraging uncertainty information from deep neural networks for disease detection von Leibig, Christian, Allken, Vaneeda, Ayhan, Murat Seçkin, Berens, Philipp, Wahl, Siegfried

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Fish species identification using a convolutional neural network trained on synthetic data von Allken, Vaneeda, Handegard, Nils Olav, Rosen, Shale, Schreyeck, Tiffanie, Mahiout, Thomas, Malde, Ketil

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Automatic interpretation of otoliths using deep learning von Moen, Endre, Handegard, Nils Olav, Allken, Vaneeda, Albert, Ole Thomas, Harbitz, Alf, Malde, Ketil

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Trajectory-based fish event classification through pre-training with diffusion models von Canovi, Noemi, Ellis, Benjamin A., Sørdalen, Tonje K., Allken, Vaneeda, Halvorsen, Kim T., Malde, Ketil, Beyan, Cigdem

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A real‐world dataset and data simulation algorithm for automated fish species identification von Allken, Vaneeda, Rosen, Shale, Handegard, Nils Olav, Malde, Ketil

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The subcellular distribution of T-type Ca2+ channels in interneurons of the lateral geniculate nucleus von Allken, Vaneeda, Chepkoech, Joy-Loi, Einevoll, Gaute T, Halnes, Geir

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A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images von Allken, Vaneeda, Rosen, Shale, Handegard, Nils Olav, Malde, Ketil

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Factors controlling the mode of rift interaction in brittle-ductile coupled systems: A 3D numerical study von Allken, Vaneeda, Huismans, Ritske S., Thieulot, Cedric

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A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images von Allken, Vaneeda, Rosen, Shale Pettit, Handegard, Nils Olav, Malde, Ketil

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Three-dimensional numerical modeling of upper crustal extensional systems von Allken, Vaneeda, Huismans, Ritske S., Thieulot, Cedric

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Automatic interpretation of otoliths using deep learning von Moen, Endre, Handegard, Nils Olav, Allken, Vaneeda, Albert, Ole Thomas, Harbitz, Alf, Malde, Ketil

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The Subcellular Distribution of T-Type Ca2+ Channels in Interneurons of the Lateral Geniculate Nucleus von Allken, Vaneeda, Chepkoech, Joy-Loi, Einevoll, Gaute, Halnes, Geir

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3D numerical modelling of graben interaction and linkage: a case study of the Canyonlands grabens, Utah von Allken, Vaneeda, Huismans, Ritske S., Fossen, Haakon, Thieulot, Cedric

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Deep Vision fish dataset von Allken, Vaneeda

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Automatic interpretation of otoliths using deep learning von Moen, Endre, Handegard, Nils Olav, Allken, Vaneeda, Albert, Ole Thomas, Harbitz, Alf, Malde, Ketil

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A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images von Allken, Vaneeda, Rosen, Shale Pettit, Handegard, Nils Olav, Malde, Ketil

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A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images von Allken, Vaneeda, Rosen, Shale Pettit, Handegard, Nils Olav, Malde, Ketil

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Survey report for CRIMAC SFI 2023 von Handegard, Nils Olav, Allken, Vaneeda, Holmin, Arne Johannes, Johnsen, Espen, Korneliussen, Rolf, Pedersen, Geir, Skjefstad, Joakim, Rogge, Rabea Patricia, Samuelsen, Mikal Arntzen, Tenningen, Maria, Sivle, Lise Doksæter

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Survey report for CRIMAC SFI 2023 von Handegard, Nils Olav, Allken, Vaneeda, Holmin, Arne Johannes, Johnsen, Espen, Korneliussen, Rolf, Pedersen, Geir, Skjefstad, Joakim, Rogge, Rabea Patricia, Samuelsen, Mikal Arntzen, Tenningen, Maria, Sivle, Lise Doksæter

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Survey report for CRIMAC SFI 2023 von Handegard, Nils Olav, Allken, Vaneeda, Holmin, Arne Johannes, Johnsen, Espen, Korneliussen, Rolf, Pedersen, Geir, Skjefstad, Joakim, Rogge, Rabea Patricia, Samuelsen, Mikal Arntzen, Tenningen, Maria, Sivle, Lise Doksæter

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