Laursen, K., Zamani, M., Rezaeiyan, Y., Hosseini, S., Mondal, T., Corbett, B., Ouagazzal, A. M., Amalric, M.
& Moradi, F. (2023).
An Ultrasonically-Powered System for 1.06mm3 Implantable Optogenetics and Drug Delivery Dust.
IEEE Transactions on Circuits and Systems II: Express Briefs,
70(10), 3937-3941.
https://doi.org/10.1109/TCSII.2023.3289028
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, P. G., Macedo, H. D., Fitzgerald, J., Pfeifer, H., Benedikt, M., Tonetta, S., Marguglio, A., Gusmeroli, S. & Jr, G. S. (2020).
A Cloud-Based Collaboration Platform for Model-Based Design of Cyber-Physical Systems. In F. De Rango, T. Ören & M. Obaidat (Eds.),
Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (Vol. Volume 1: SIMULTECH, pp. 263-270). SCITEPRESS Digital Library.
https://doi.org/10.5220/0009892802630270
Larsen, P. G., Fitzgerald, J.
, Woodcock, J., Gamble, C., Payne, R. & Pierce, K. (2018).
Features of Integrated Model-Based Co-modelling and Co-simulation Technology. In A. Cerone & M. Roveri (Eds.),
Software Engineering and Formal Methods - SEFM 2017 Collocated Workshops: DataMod, FAACS, MSE, CoSim-CPS, and FOCLASA, Revised Selected Papers (pp. 377-390). Springer.
https://doi.org/10.1007/978-3-319-74781-1_26
Larsen, P. G., Soulioti, G.
, Macedo, H. D., Alifragkis, V., Fitzgerald, J., Livanos, N., Pfeifer, H., Pasquinelli, M., Benedict, M.
, Thule, C., Tonetta, S., Stritzelberger, B., Marguglio, A., Sutton, L. F., Obstbaum, M., Gusmeroli, S., Beutenmüller, F., Jr., G. S., Wijnands, Q.
& Talasila, P. (2020).
Enabling Combining Models and Tools in an Online MBSE Collaboration Platform. In
Model Based Space Systems and Software Engineering (MBSE2020) https://indico.esa.int/event/329/attachments/3868/5508/Abstracts_combined.pdf
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
Larsen, P. G., Macedo, H. D., Fitzgerald, J., Pfeifer, H., Benedikt, M., Tonetta, S., Marguglio, A., Veneziano, G., Sutton, L., Gusmeroli, S. & Suciu, G. (2022).
HUBCAP: A Novel Collaborative Approach to Model-Based Design of Cyber-Physical Systems. In M. S. Obaidat, T. Oren & F. D. Rango (Eds.),
Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2020 (pp. 90-110). Springer.
https://doi.org/10.1007/978-3-030-84811-8_5
Larsen, E. L., Espelund, U., Lauritsen, S. M., Thiesson, B., Lange, J., Friis Kjeldsen, G.
& Jørgensen, M. J. (2022).
+Priokritisk. Early identification of clinical detorioriation among hospitalized patients by explainable AI. Poster session presented at Symposium on Artificial Intelligence for Learning Health Systems.
Lading, T., Lindskow, T., Sharghbin, M., Benhassen, L. L., Bechsgaard, T. K., Røpcke, D. M., Nielsen, S. L. & Johansen, P. (2018).
Aortic valve repair techniques affect the annulus differently: an In Vitro characterization.
The Journal of Heart Valve Disease,
27(4), 251-58.
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
Kumar, R. R., Hänsel, A., Far Brusatori, M., Nielsen, L., Augustin, L.
, Volet, N. & Heck, M. (2022).
A 10-kHz intrinsic linewidth coupled extended-cavity DBR laser monolithically integrated on an InP platform.
Optics Letters,
47(9), 2346-2349 .
https://doi.org/10.1364/OL.454478
Kumar, R. R., Hänsel, A., Far Brusatori, M., Nielsen, L., Arent, N. H., Volet, N. & Heck, M. (2022).
Sub-10 kHz Intrinsic Linewidth Extended Cavity DBR laser on InP Generic Foundry Platform.
Kulik, T., Talasila, P., Greco, P., Veneziano, G., Marguglio, A., Sutton, L. F.
, Larsen, P. G. & Macedo, H. D. (2021).
Extending the Formal Security Analysis of the HUBCAP sandbox. In H. D. Macedo, C. Thule & K. Pierce (Eds.),
Proceedings of the 19th International Overture Workshop (pp. 36-50)
https://arxiv.org/abs/2110.09371
Kulik, T., Dongol, B.
, Larsen, P. G., Macedo, H. D., Schnieder, S.
, Tran-Jørgensen, P. W. V. & Woodcock, J. (2022).
A Survey of Practical Formal Methods for Security.
Formal Aspects of Computing,
34(1), Article 3522582.
https://doi.org/10.1145/3522582
Kulik, T., Gomes, C., Macedo, H. D., Hallerstede, S. & Larsen, P. G. (2022).
Towards Secure Digital Twins. In T. Margaria & B. Steffen (Eds.),
Leveraging Applications of Formal Methods, Verification and Validation. Practice, ISoLA 2022 (pp. 159-176). Springer.
https://doi.org/10.1007/978-3-031-19762-8_11
Kruckel, C. J.
, Becker, H., Ban, Y.
, Heck, M. J. R., Van Campenhout, J. & Van Thourhout, D. (2021).
Towards Maximum Energy Efficiency of Carrier-Injection-Based Silicon Photonics.
Journal of Lightwave Technology,
39(9), 2931-2940.
https://doi.org/10.1109/JLT.2021.3059915
Kretsis, A., Kokkinos, P., Soumplis, P., Vegas Olmos, J. J.
, Fehér, M., Sipos, M. A.
, Lucani Rötter, D. E., Khabi, D., Masouros, D., Siozios, K., Bourgos, P., Tsekeridou, S., Zyulkyarov, F., Karanastasis, E., Chondrogiannis, E., Andronikou, V., Fernandez Gomez, A., Panica, S., Iuhasz, G. ... Varvarigos, M. (2021).
SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum. In
2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021 (pp. 55-60). IEEE.
https://doi.org/10.1109/MeditCom49071.2021.9647689
Kragh, M. F., Rimestad, J., Lassen, J. T., Berntsen, J.
& Karstoft, H. (2022).
Predicting embryo viability based on self-supervised alignment of time-lapse videos.
IEEE Transactions on Medical Imaging,
41(2), 465-475.
https://doi.org/10.1109/TMI.2021.3116986
Kopler, I., Marchaim, U., Tikász, I. E., Opaliński, S., Kokin, E., Mallinger, K., Neubauer, T., Gunnarsson, S.
, Soerensen, C., Phillips, C. J. C. & Banhazi, T. (2023).
Farmers’ Perspectives of the Benefits and Risks in Precision Livestock Farming in the EU Pig and Poultry Sectors.
Animals,
13(18), Article 2868.
https://doi.org/10.3390/ani13182868
Klionsky, D. J., Abeliovich, H., Agostinis, P., Agrawal, D. K., Aliev, G., Askew, D. S., Baba, M., Baehrecke, E. H., Bahr, B. A., Ballabio, A., Bamber, B. A., Bassham, D. C., Bergamini, E., Bi, X., Biard-Piechaczyk, M., Blum, J. S., Bredesen, D. E., Brodsky, J. L., Brumell, J. H. ... Deter, R. L. (2008).
Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes.
Autophagy,
4(2), 151-75.
https://doi.org/10.4161/auto.5338