- 2022
- Published
High accuracy in classifying endoscopic severity in ulcerative colitis using convolutional neural network
Lo, B., Liu, Z., Bendtsen, Flemming, Igel, Christian, Vind, Ida & Burisch, J., 2022, In: The American Journal of Gastroenterology. 117, 10, p. 1648-1654Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Hyperspectral imaging for classification of bulk grain samples with deep convolutional neural networks
Dreier, E. S., Sørensen, Klavs Martin, Lund-Hansen, T., Jespersen, Birthe P Møller & Steenstrup Pedersen, Kim, 2022, In: Journal of Near Infrared Spectroscopy. 30, 3, p. 107–121Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space
Antanavicius, J., Leiras, Roberto & Selvan, Raghav, 2022, Biomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings. Hering, A., Schnabel, J., Zhang, M., Ferrante, E., Heinrich, M. & Rueckert, D. (eds.). 1 ed. Springer Science and Business Media Deutschland GmbH, p. 166-176 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13386 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting
Chalkidis, Ilias & Søgaard, Anders, 2022, FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022). ASSOC COMPUTATIONAL LINGUISTICS-ACL, p. 2441-2454 14 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images
Jensen, H. G., Lauze, Francois Bernard & Darkner, Sune, 2022, In: Journal of Mathematical Imaging and Vision. 64, p. 1-16Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods
Schön, Julian Elisha, Selvan, Raghav & Petersen, Jens, 2022, Deep Generative Models: Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Springer, p. 24-33 (Lecture Notes in Computer Science, Vol. 13609).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Meiotic drive in chronic lymphocytic leukemia compared with other malignant blood disorders
Jønsson, V., Awan, H., Jones, Neil, Johannesen, T. B., Thøgersen, K., Steig, B., Andorsdottir, G. & Tjønnfjord, G. E., 2022, In: Scientific Reports. 12, 1, p. 1-11 6138.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
No Repetition: Fast and Reliable Sampling with Highly Concentrated Hashing
Aamand, A., Das, D., Kipouridis, Evangelos, Knudsen, J. B. T., Rasmussen, Peter Michael Reichstein & Thorup, Mikkel, 2022, In: Proceedings of the VLDB Endowment. 15, 13, p. 3989-4001Research output: Contribution to journal › Conference article › Research › peer-review
- Published
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
Arora, Arnav, Kaffee, L. F. & Augenstein, Isabelle, 2022, arxiv.org, 11 p.Research output: Working paper › Preprint › Research
- Published
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy
Smith, Abraham George, Petersen, Jens, Terrones-Campos, C., Berthelsen, A. K., Forbes, N. J., Darkner, Sune, Specht, Lena & Vogelius, I. R., 2022, In: Medical Physics. 49, 1, p. 461-473Research output: Contribution to journal › Journal article › Research › peer-review
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Addressing the path-length-dependency confound in white matter tract segmentation
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Virtual Trackballs Revisited
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Locally orderless registration
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Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale
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Deep learning and computer vision techniques for microcirculation analysis: A review
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