| Predicting Protein Content in Grain Using Hyperspectral Deep Learning OCG Engstrøm, ES Dreier, KS Pedersen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 12 | 2021 |
| Improving deep learning on hyperspectral images of grain by incorporating domain knowledge from chemometrics OCG Engstrøm, ES Dreier, BM Jespersen, KS Pedersen Proceedings of the IEEE/CVF International Conference on Computer Vision, 485-494, 2023 | 7 | 2023 |
| Ikpls: improved kernel partial least squares and fast cross-validation algorithms for python with cpu and gpu implementations using numpy and jax OCG Engstrøm, ES Dreier, BM Jespersen, KS Pedersen Journal of Open Source Software 9 (99), 6533, 2024 | 6 | 2024 |
| Fast Partition‐Based Cross‐Validation With Centering and Scaling for XTX and XTY OCG Engstrøm, MH Jensen Journal of Chemometrics 39 (3), e70008, 2025 | 3* | 2025 |
| Analyzing near-infrared hyperspectral imaging for protein content regression and grain variety classification using bulk references and varying grain-to-background ratios OCG Engstrøm, ES Dreier, BM Jespersen, KS Pedersen arXiv preprint arXiv:2311.04042, 2023 | 3 | 2023 |
| Near-Infrared Hyperspectral Imaging Applications in Food Analysis--Improving Algorithms and Methodologies OCG Engstrøm arXiv preprint arXiv:2510.13452, 2025 | | 2025 |
| Transforming hyperspectral images into chemical maps: a novel End‐to‐End Deep Learning approach OCG Engstrøm, M Albano‐Gaglio, ES Dreier, Y Bouzembrak, ... Journal of Chemometrics 39 (8), e70041, 2025 | | 2025 |
| A Time Series Dataset of NIR Spectra and RGB and NIR-HSI Images of the Barley Germination Process OC Galbo Engstrøm, E Schou Dreier, B Møller Jespersen, ... arXiv e-prints, arXiv: 2504.16658, 2025 | | 2025 |