Laursen, M. S.
, Nyholm Jørgensen, R., Midtiby, H. S., Jensen, K., Christiansen, M. P., Giselsson, T. M.
, Mortensen, A. K. & Jensen, P. K. (2016).
Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops.
Sensors,
16(11), Article 1848.
https://doi.org/10.3390/s16111848
Laursen, M. S.
, Nyholm Jørgensen, R., Skov Midtiby, H.
, Mortensen, A. K. & Santhome, S. (2017).
Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops: Statistical Evaluation of the Potential Herbicide Savings.
International Journal of Agricultural and Biosystems Engineering,
11(4), 1285.
https://www.waset.org/abstracts/62424
Lati, R. N., Rasmussen, J., Andujar, D., Dorado, J., Berge, T. W., Wellhausen, C., Pflanz, M., Nordmeyer, H., Schirrmann, M., Eizenberg, H., Neve, P.
, Jørgensen, R. N. & Christensen, S. (2021).
Site-specific weed management—constraints and opportunities for the weed research community: Insights from a workshop.
Weed Research,
61(3), 147-153.
https://doi.org/10.1111/wre.12469
Larsen, O. V., Haase, J., Hansen, K. V., Brix, L. C.
& Pedersen, C. F. (2003).
Training brain retraction in a virtual reality environment. In Westwood, J.D. : Hoffman, H.M. : Mogel, G.T. : Phillips, R. : Robb, R.A. : Stredney, D. (eds.) (Ed.),
Medicine Meets Virtual Reality 11 - NextMed: Health Horizon, MMVR 11, Newport Beach, CA, USA], [22-25 January: Studies in Health Technology and Informatics (94 ed., pp. 174-180).
Larsen, J. J., Liu, L., Grombacher, D. J., Osterman, G. K. & Auken, E. (2018).
Apsu - a new surface NMR instrument.. C01. Paper presented at 7th International Workshop on Magnetic Resonance, Jilin, China.
Larsen, D.
, Skovsen, S., Steen, K. A., Grooters, K.
, Eriksen, J., Green, O.
& Nyholm Jørgensen, R. (2018).
Autonomous Mapping of Grass-Clover Ratio Based on Unmanned Aerial Vehicles and Convolutional Neural Networks. In
Proceedings of the 14th International Conference on Precision Agriculture Article 5107 International Society of Precision Agriculture.
https://www.ispag.org/proceedings/?action=download&item=5107
Larsen, J. J., Liu, L., Grombacher, D., Osterman, G. K. & Auken, E. (2020).
Apsu — A new compact surface nuclear magnetic resonance system for groundwater investigation.
Geophysics,
85(2), JM1-JM11.
https://doi.org/10.1190/geo2018-0779.1
Larsen, J. J., Griffiths, M., Vang, M., Liu, L. & Grombacher, D. (2021).
Apsu - A compact surface NMR instrument for groundwater investigations.
SEG Technical Program Expanded Abstracts,
2021-September, 3135-3139.
https://doi.org/10.1190/segam2021-3582046.1
Larsen, J. J., Langhof, R. B.
, Kjær, M. W., Vang, M., Liu, L., Griffiths, M.
& Grombacher, D. (2022).
Efficient processing of surface NMR data with spectral analysis.
Geophysical Journal International,
229(1), 286-298.
https://doi.org/10.1093/gji/ggab472
Lang, X.
, Rehman, N. U., Zhang, Y., Xie, L. & Su, H. (2020).
Median ensemble empirical mode decomposition.
Signal Processing,
176, Article 107686.
https://doi.org/10.1016/j.sigpro.2020.107686
Laakom, F., Passalis, N., Raitoharju, J., Nikkanen, J., Tefas, A.
, Iosifidis, A. & Gabbouj, M. (2020).
Bag of Color Features for Color Constancy.
IEEE Transactions on Image Processing,
29, 7722-7734. Article 9130881.
https://doi.org/10.1109/TIP.2020.3004921
Laakom, F., Raitoharju, J.
, Iosifidis, A., Tuna, U., Nikkanen, J. & Gabbouj, M. (2020).
Probabilistic Color Constancy. In
2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings (pp. 978-982). Article 9190893 IEEE.
https://doi.org/10.1109/ICIP40778.2020.9190893
Laakom, F., Raitoharju, J., Nikkanen, J.
, Iosifidis, A. & Gabbouj, M. (2021).
INTEL-TAU: A Color Constancy Dataset.
IEEE Access,
9, 39560-39567. Article 9371681.
https://doi.org/10.1109/ACCESS.2021.3064382
Laakom, F., Raitoharju, J., Passalis, N.
, Iosifidis, A. & Gabbouj, M. (2022).
Graph Embedding with Data Uncertainty.
IEEE Access,
10, 24232-24239.
https://doi.org/10.1109/ACCESS.2022.3155233