bc. C. da Silva Lourenço (Catarina)

ISARIC Clinical Characterisation Group (2023). Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19. International journal of epidemiology, 52(2), 355-376. https://doi.org/10.1093/ije/dyad012

Wainstein, M., Spyrison, N., Dai, D., Ghadimi, M., Chávez-Iñiguez, J. S., Claure-Del Granado, R. , Brusse-Keizer, M. , Haalboom, M. , Nguyen, D. , Silva, C. , van der Palen, J. , Vonkeman, H., & ISARIC Characterization Group (2023). Association of Country Income Level With the Characteristics and Outcomes of Critically Ill Patients Hospitalized With Acute Kidney Injury and COVID-19. Kidney International Reports, 8(8), 1514-1530. https://doi.org/10.1016/j.ekir.2023.05.015

ISARIC Clinical Characterisation Group (2023). Thrombotic and hemorrhagic complications of COVID-19 in adults hospitalized in high-income countries compared with those in adults hospitalized in low- and middle-income countries in an international registry. Research and practice in thrombosis and haemostasis, 7(5), [102142]. https://doi.org/10.1016/j.rpth.2023.102142

da Silva Lourenço, C. , Tjepkema-Cloostermans, M. C. , & van Putten, M. J. A. M. (2023). Ultrafast review of ambulatory EEGs with deep learning. Clinical neurophysiology, 154, 43-48. https://doi.org/10.1016/j.clinph.2023.07.005

da Silva Lourenço, C. , Tjepkema-Cloostermans, M. C. , & van Putten, M. J. A. M. (2023). Not one size fits all: Influence of EEG type when training a deep neural network for interictal epileptiform discharge detection. Informatics in Medicine Unlocked, 41, [101318]. https://doi.org/10.1016/j.imu.2023.101318

da Silva Lourenço, C. (2023). Deep Learning for EEG Analysis. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036556910

Reyes, L. F., Murthy, S., Garcia-Gallo, E., Merson, L., Ibáñez-Prada, E. D., Rello, J., Fuentes, Y. V., Martin-Loeches, I., Bozza, F., Duque, S., Taccone, F. S., Fowler, R. A., Kartsonaki, C., Gonçalves, B. P., Citarella, B. W., Aryal, D., Burhan, E., Cummings, M. J., Delmas, C., ... the ISARIC Characterization Group (2022). Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study. Critical care, 26(1), [276]. https://doi.org/10.1186/s13054-022-04155-1

Garcia-Gallo, E., Merson, L., Kennon, K., Kelly, S., Citarella, B. W., Fryer, D. V., Shrapnel, S., Lee, J., Duque, S., Fuentes, Y. V., Balan, V., Smith, S., Wei, J., Gonçalves, B. P., Russell, C. D., Sigfrid, L., Dagens, A., Olliaro, P. L., Baruch, J., ... The Western Australian COVID-19 Research Response (2022). ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19. Scientific Data, 9(1), [454]. https://doi.org/10.1038/s41597-022-01534-9

da Silva Lourenço, C. , Tjepkema-Cloostermans, M. C. , & van Putten, M. J. A. M. (2021). Machine learning for detection of interictal epileptiform discharges. Clinical neurophysiology, 132(7), 1433-1443. https://doi.org/10.1016/j.clinph.2021.02.403

da Silva Lourenço, C. , Tjepkema-Cloostermans, M. C. , & van Putten, M. J. A. M. (2021). Efficient use of clinical EEG data for deep learning in epilepsy. Clinical neurophysiology, 132(6), 1234-1240. https://doi.org/10.1016/j.clinph.2021.01.035