| Regional differences in dynamic cerebral autoregulation in the healthy brain assessed by magnetic resonance imaging MA Horsfield, JL Jara, NP Saeed, RB Panerai, TG Robinson PLoS One 8 (4), e62588, 2013 | 43 | 2013 |
| Dynamic cerebral autoregulation following acute ischaemic stroke: comparison of transcranial Doppler and magnetic resonance imaging techniques RB Panerai, JL Jara, NP Saeed, MA Horsfield, TG Robinson Journal of Cerebral Blood Flow & Metabolism 36 (12), 2194-2202, 2016 | 38 | 2016 |
| Dynamic cerebral autoregulation reproducibility is affected by physiological variability ML Sanders, JWJ Elting, RB Panerai, M Aries, E Bor-Seng-Shu, ... Frontiers in physiology 10, 865, 2019 | 35 | 2019 |
| A ProtoType Question Answering System Using Syntactic and Semantic Information for Answer Retrieval. E Alfonseca, M De Boni, JL Jara-Valencia, S Manandhar TREC, 2001 | 35 | 2001 |
| Reproducibility of dynamic cerebral autoregulation parameters: a multi-centre, multi-method study ML Sanders, JAHR Claassen, M Aries, E Bor-Seng-Shu, A Caicedo, ... Physiological Measurement 39 (12), 125002, 2018 | 31 | 2018 |
| Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability? JW Elting, ML Sanders, RB Panerai, M Aries, E Bor-Seng-Shu, A Caicedo, ... PLoS One 15 (1), e0227651, 2020 | 22 | 2020 |
| Using machine learning methods to identify significant variables for the prediction of first-year Informatics Engineering students dropout FA Bello, J Kóhler, K Hinrechsen, V Araya, L Hidalgo, JL Jara 2020 39th International Conference of the Chilean Computer Science Society …, 2020 | 13 | 2020 |
| A new model-free index of dynamic cerebral blood flow autoregulation M Chacón, JL Jara, RB Panerai PLoS One 9 (10), e108281, 2014 | 13 | 2014 |
| Using complexity–entropy planes to detect Parkinson’s disease from short segments of haemodynamic signals JL Jara, C Morales-Rojas, J Fernández-Muñoz, VJ Haunton, M Chacón Physiological measurement 42 (8), 084002, 2021 | 11 | 2021 |
| Non-linear models for the detection of impaired cerebral blood flow autoregulation M Chacón, JL Jara, R Miranda, E Katsogridakis, RB Panerai PloS one 13 (1), e0191825, 2018 | 9 | 2018 |
| Crisp classifiers vs. fuzzy classifiers: A statistical study JL Jara, R Acevedo-Crespo Adaptive and Natural Computing Algorithms. ICANNGA 2009. Lecture Notes in …, 2009 | 7 | 2009 |
| Empirical evaluation of three machine learning method for automatic classification of neoplastic diagnoses JL Jara, M Chacón, G Zelaya Ingeniare. Revista chilena de ingeniería 19 (3), 359-368, 2011 | 6 | 2011 |
| Comparing models of spontaneous variations, maneuvers and indexes to assess dynamic cerebral autoregulation M Chacón, SH Noh, J Landerretche, JL Jara Intracranial Pressure & Neuromonitoring XVI, 159-162, 2018 | 4 | 2018 |
| Analysis of cerebral blood flow entropy while listening to music with emotional content R Cavieres, J Landerretche, JL Jara, M Chacón Physiological Measurement 42 (5), 055002, 2021 | 3 | 2021 |
| Using machine learning techniques to predict academic success in an introductory programming course J Köhler, L Hidalgo, JL Jara 2022 41st International Conference of the Chilean Computer Science Society …, 2022 | 2 | 2022 |
| Predictive model for estimating internal transfer of Informatics Engineering students J Köhler, FA Bello-Robles, JL Jara 2020 39th International Conference of the Chilean Computer Science Society …, 2020 | 2 | 2020 |
| Increasing the contrast-to-noise ratio of MRI signals for regional assessment of dynamic cerebral autoregulation JL Jara, NP Saeed, RB Panerai, TG Robinson Intracranial Pressure & Neuromonitoring XVI, 153-157, 2018 | 1 | 2018 |
| Desafíos en la codificación de diagnósticos médicos JL Jara, G Zelaya Jornadas Chilenas de Ingeniería Biomédica, 2007 | 1 | 2007 |
| Individual Patient Data Meta-Analysis of Dynamic Cerebral Autoregulation and Functional Outcome After Ischemic Stroke L Beishon, T Vasilopoulos, ASM Salinet, B Levis, S Barnes, E Hills, ... Stroke, 2024 | | 2024 |
| Exploring Physiological Differences in Brain Areas Using Statistical Complexity Analysis of BOLD Signals C Morales-Rojas, RB Panerai, JL Jara Entropy 26 (1), 81, 2024 | | 2024 |
