| An interpretable mortality prediction model for COVID-19 patients L Yan, HT Zhang, J Goncalves, Y Xiao, M Wang, Y Guo, C Sun, X Tang, ... Nature Machine Intelligence, 1-6, 2020 | 1585* | 2020 |
| SARS-CoV-2 transmission risk from asymptomatic carriers: results from a mass screening programme in Luxembourg P Wilmes, J Zimmer, J Schulz, F Glod, L Veiber, L Mombaerts, ... The Lancet Regional Health–Europe 4, 2021 | 104 | 2021 |
| Gene regulatory network inference from sparsely sampled noisy data A Aalto, L Viitasaari, P Ilmonen, L Mombaerts, J Gonçalves Nature communications 11 (1), 1-9, 2020 | 79 | 2020 |
| Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden F Kemp, D Proverbio, A Aalto, L Mombaerts, AF d’Hérouël, A Husch, ... Journal of Theoretical Biology 530, 110874, 2021 | 40 | 2021 |
| Differential effects of day/night cues and the circadian clock on the barley transcriptome LM Müller, L Mombaerts, A Pankin, SJ Davis, AAR Webb, J Goncalves, ... Plant Physiology 183 (2), 765-779, 2020 | 37 | 2020 |
| SARS-CoV-2 transmission in educational settings during an early summer epidemic wave in Luxembourg, 2020 J Mossong, L Mombaerts, L Veiber, J Pastore, GL Coroller, M Schnell, ... BMC Infectious Diseases 21, 1-8, 2021 | 26 | 2021 |
| Development and validation of a prognostic risk score system for COVID-19 inpatients: a multi-center retrospective study in China Y Yuan, C Sun, X Tang, C Cheng, L Mombaerts, M Wang, T Hu, C Sun, ... Engineering 8, 116-121, 2022 | 23* | 2022 |
| Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks D Proverbio, F Kemp, S Magni, A Husch, A Aalto, L Mombaerts, A Skupin, ... PloS one 16 (5), e0252019, 2021 | 20 | 2021 |
| Dynamical differential expression (DyDE) reveals the period control mechanisms of the Arabidopsis circadian oscillator L Mombaerts, A Carignano, FC Robertson, TJ Hearn, J Junyang, ... PLOS Computational Biology 15 (1), e1006674, 2019 | 20 | 2019 |
| Intraoperative discrimination of native meningioma and dura mater by Raman spectroscopy F Jelke, G Mirizzi, FK Borgmann, A Husch, R Slimani, GG Klamminger, ... Scientific Reports 11 (1), 23583, 2021 | 19 | 2021 |
| COVID-19 crisis management in Luxembourg: insights from an epidemionomic approach M Burzyński, J Machado, A Aalto, M Beine, J Goncalves, T Haas, F Kemp, ... Economics & Human Biology 43, 101051, 2021 | 18 | 2021 |
| Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd A Gabor, M Tognetti, A Driessen, J Tanevski, B Guo, W Cao, H Shen, T Yu, ... Molecular systems biology 17 (10), e10402, 2021 | 17 | 2021 |
| Optimising time-series experimental design for modelling of circadian rhythms: The value of transient data L Mombaerts, A Mauroy, J Gonçalves IFAC-PapersOnLine 49 (26), 109-113, 2016 | 11 | 2016 |
| An interpretable mortality prediction model for COVID-19 patients. Nat Mach Intell 2: 283–288 L Yan, HT Zhang, J Goncalves, Y Xiao, M Wang, Y Guo, C Sun, X Tang, ... | 9 | 2020 |
| A multifactorial evaluation framework for gene regulatory network reconstruction L Mombaerts, A Aalto, J Markdahl, J Gonçalves IFAC-PapersOnLine 52 (26), 262-268, 2019 | 7 | 2019 |
| Differentiation of primary CNS lymphoma and glioblastoma using Raman spectroscopy and machine learning algorithms GG Klamminger, K Klein, L Mombaerts, F Jelke, G Mirizzi, R Slimani, ... Free Neuropathology 2, 2-26, 2021 | 5 | 2021 |
| Computational assessment of spectral heterogeneity within fresh glioblastoma tissue using Raman spectroscopy and machine learning algorithms K Klein, GG Klamminger, L Mombaerts, F Jelke, IF Arroteia, R Slimani, ... Molecules 29 (5), 979, 2024 | 4 | 2024 |
| Continuous glucose monitoring: Using CGM to guide insulin therapy virtual trials results L Mombaerts, F Thomas, M Signal, T Desaive, JG Chase IFAC-PapersOnLine 48 (20), 112-117, 2015 | 4 | 2015 |
| Meta knowledge for retrieval augmented large language models L Mombaerts, T Ding, A Banerjee, F Felice, J Taws, T Borogovac arXiv preprint arXiv:2408.09017, 2024 | 3 | 2024 |
| Sensor-Based Quantification of MDS-UPDRS III Subitems in Parkinson’s Disease Using Machine Learning RP Bremm, L Pavelka, MM Garcia, L Mombaerts, R Krüger, F Hertel Sensors 24 (7), 2195, 2024 | 3 | 2024 |
Jorge GoncalvesUniversity of LuxembourgEmail confirmado em uni.lu