Publicaciones

Publicaciones en Revistas Indexadas

2018

  1. Hird EJ, Jones AKP, Talmi D., El-Deredy W (2018)  A comparison between the neural correlates of laser and electric pain stimulation and their modulation by expectation. Journal of Neuroscience Methods 293, 117-127. (ISI)
  2. Hird EJ, El-Deredy W, Jones A, Talmi D. (in press) Temporal dissociation of salience and prediction error responses to appetitive and aversive taste. Psychophysiology. (ISI)
  3. F. Plaza, R. Salas, E. Yáñez (2018). Identifying ecosystem patterns from time series of anchovy (Engraulis ringens) and sardine (Sardinops Sagax) landings in northern Chile. Published in the Journal of Statistical Computation and Simulation. doi: 0.1080/00949655.2017.1410150 (ISI)
  4. R. Torres, R.Salas, N. Bencomo, H. Astudillo (2018). An architecture based on computing with words to support runtime reconfiguration decisions of service-based systems. Published in the International Journal of Computational Intelligence Systems. Vol 11, issue 1, pp. 272-281.  doi:10.2991/ijcis.11.1.21 (IJCIS) (ISI)

2017

  1. Warren, P. A., Gostoli, U., Farmer, G. D., El-Deredy, W., & Hahn, U. (2017). A Re-Examination of "Bias" in Human Randomness Perception. Journal of Experimental Psychology: Human Perception and Performance. Advance online publication.(ISI)
  2. Lea-Carnall CA, Trujillo-Barreto NJ, Montemurro MA, El-Deredy W., Parkes L. (2017) Evidence for frequency-dependent cortical plasticity in the human brain. Proceedings of the National Academy of Sciences 114, 8871-8876 (ISI)
  3. Craddock, M., Poliakoff, E., El-deredy, W., Klepousniotou, E., & Lloyd, D. M. (2017). Pre-stimulus alpha oscillations over somatosensory cortex predict tactile misperceptions. Neuropsychologia, 96, 9-18. (ISI)
  4. Koychev, I., Deakin, J. F. W., El-Deredy, W., & Haenschel, C. (2017). Effects of Acute Ketamine Infusion on Visual Working Memory: Event-related Potentials. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 2, 253-262 (ISI)
  5. Farmer GD, & Warren, PA, El-Deredy W, Howes A. (2017) The Effect of Expected Value on Attraction Effect Preference Reversals. Journal of Behavioral Decision Making 30: 785-793. (ISI)
  6. Hoskin R, Berzuini CC, Acosta-Kane D, El-Deredy W, Guo H,Talmi D, 2017 Sensitivity to Pain Expectations: A Bayesian Model of Individual Differences bioRxiv, 17617.  doi: https://doi.org/10.1101/176172 (ISI)
  7. Romina Torres, Mauricio Poblete, Rodrigo Salas (2017). Classifying human actions in daily life using computational intelligence techniques. 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), Pucon, Chile, 2017, pp. 1-5. IEEE Press. doi: 10.1109/CHILECON.2017.8229514 (SCOPUS)
  8. Diego Mellado, Carolina Saavedra, Steren Chabert and Rodrigo Salas (2017). Pseudorehearsal Approach for Incremental Learning of Deep Convolutional Neural Networks. Computational Neuroscience, Communications in Computer and Information Science, vol. 720, Chapter 10. Springer. doi: 10.1007/978-3-319-71011-2_10 (SCOPUS)
  9. G. Tapia, M. Salinas, J. Plaza, D. Mellado, Rodrigo Salas, C. SaavedraA. Veloz, A. Arriola, J. Idiaquez, A. Glaría (2017). Photoplethysmogram fits Finger Blood Pressure waveform for non-Invasive and minimally-Intrusive Technologies. Evaluation of derivative approaches. BIOSIGNALS 2017. Volume 4: Biosignals, pp. 155-162. SCITEPRESS ISBN: 978-989-758-212-7. DOI:  20.5220/0006143901550162 (DBLP)
  10. Steren Chabert, Tomás Mardones, Rodrigo Riveros, Maximiliano Godoy, Alejandro Veloz, Rodrigo Salas, Pablo Cox (2017). Applying machine learning and image feature extraction techniques to the problem of cerebral aneurysm rupture. Research Ideas and Outcomes 3: e11731. doi: 10.3897/rio.3.e11731
  11. Guillermo Avendaño, Antonio Rienzo (2017). Degree Models in Biomedical Engineering. Revista de Ingeniería Biomédica. ISSN 1909-9762, vol. 11, issue 22, pp. 51-56. doi: 10.24050/19099762.n22.2017.1186
  12.  Guillermo Avendaño, Antonio Rienzo, Luis Danyau (2017). Importance of HTA in modern Clinical Engineering. In: Eskola H., Väisänen O., Viik J., Hyttinen J. (eds) EMBEC & NBC 2017. EMBEC 2017, NBC 2017. IFMBE Proceedings, vol 65, pp.73-76. Springer, Singapore. doi: 10.1007/978-981-10-5122-7_19

2016

  1. Howes, A., Warren, P., Farmer, G., El-Deredy, W. & Lewis, R (2016) Why contextual preference reversals in humans maximise expercted value. Psychological Reviews. (ISI)
  2. Mirams, L., Poliakoff, E., Zandstra, E. H., Hoeksma, M., Thomas, A., & El-Deredy, W. (In press). Good Vibrations: Global Processing Can Increase the Pleasantness of Touch. The Quarterly Journal of Experimental Psychology, 1-32. (ISI)
  3. Symons, A. E., El-Deredy, W., Schwartze, M., & Kotz, S. A. (2016). The functional role of neural oscillations in non-verbal emotional communication. Frontiers in human neuroscience10. (ISI)
  4. Cousins, JN., El-Deredy W, Parkes, LM., Hennies, N., & Lewis, PA. (2016). Cued Reactivation of Motor Learning during Sleep Leads to Overnight Changes in Functional Brain Activity and Connectivity. PLoS Biology 14(5), e1002451. (ISI)
  5. Mirams, L., Poliakoff, E., Zandstra, EH., Hoeksma, M., Thomas, A., & El-Deredy, W. (2016). I feel bad and look worse than you: Social comparisons moderate the effect of mood on face health judgementActa psychologica,168, 12-19. (ISI)
  6. Lea-Carnall CA, Montemurro MA, Trujillo-Barreto NJ, Parkes LM, El-Deredy W (2016) Cortical resonance frequencies emerge from network size and connectivity. PLoS Computational Biology 12 (2), e1004740 (ISI)
  7. Mason, L., Trujillo-Barreto, N. J., Bentall, R. P., & El-Deredy, W.  (2016) Attentional bias predicts increased reward salience and risk-taking in bipolar disorder. Biological Psychiatry 79 (4), 311-319.Krol M, El-Deredy W (2015) The clash of expectancies- does the P300 amplitude reflect both passive and active expectations? Quarterly Journal of Experimental Psychology  68 (9), 1723-1734 (ISI)
  8. Knowles, M. M., Foden, P., El‐Deredy, W., & Wells, A. (2016). A Systematic Review of Efficacy of the Attention Training Technique in Clinical and Nonclinical Samples. Journal of clinical psychology. DOI: 10.1002/jclp.22312. (ISI)
  9. H. Allende-Cid, R. Salas, A. Veloz, H. Allende and C. Moraga (2016). Structure Identification and Modeling with a Self-Organizing Neural Network. Published in International Journal of Computational Intelligence Systems, vol 9, issue 4, pages 416-432. Atlantis Press. ISSN 1875-6883. [doi: 10.1080/18756891.2016.1175809] Impact Factor (2014): 0.574 (ISI)
  10. A. Veloz, R. Salas, H. Allende-Cid, H. Allende and C. Moraga (2016) Identification of lags in nonlinear autoregressive time series using a flexible fuzzy model, Published in the journal Neural Processing Letters. Volume 43 Issue 3, Pages 641-666  Impact Factor: 1.448 [doi: 10.1007/s11063-015-9438-1] (ISI)

2015

  1. Visram, A. S., Innes-Brown, H., El-Deredy, W., & McKay, C. M. (2015). Cortical auditory evoked potentials as an objective measure of behavioral thresholds in cochlear implant users. Hearing research, 327, 35-42.
  2. Brown, C. A., Matthews, J., Fairclough, M., McMahon, A., Barnett, E., Al-Kaysi, A., El-Deredy W; Jones, AK (2015). Striatal opioid receptor availability is related to acute and chronic pain perception in arthritis: does opioid adaptation increase resilience to chronic pain? Pain156(11), 2267-2275.
  3. Tsivilis, D., Allan, K., Roberts, J., Williams, N., Downes, JJ., & El-Deredy, W. (2015). Old-new ERP effects and remote memories: the late parietal effect is absent as recollection fails whereas the early mid-frontal effect persists as familiarity is retained. Frontiers in human neuroscience9.
  4. Farmer, G. D., El-Deredy, W., Howes, A., & Warren, P. A. (2015). The attraction effect in motor planning decisions. Judgment and Decision Making, 10(5), 503-510.
  5. Colette M. McKay CM , Azadpour M, Jayewardene-Aston D, O’Driscoll M, El Deredy- W. (2015) Electrode selection and speech understanding in patients with auditory brainstem implants. Ear & Hearing, 36, 454–463.
  6. Akhoun I, El-Deredy W, McKay C. (2015) Electrically evoked compound action potentials artefact rejection by independent component analysis: procedure automation Journal of Neuroscience Methods 239, 85-93.
  7. G. Tapia-Cabrera, A. Glaría (2015). Red neuronal artificial para detectar esfuerzo físico desde planos de fase de onda de pulso. Revista de Ingeniería Biomédica. Vol. 9, número 17, pp. 21-34. [DOI: http:/dx.doi.org/10.14508/rbme.2015.9.17.21-34]

2014

  1. S. Chabert, C. Tejos, S. Uribe (2014). “Multiple echo multi-shot diffusion sequence”. Journal Magnetic Resonance Imaging. Vol 39, issue 5, pp. 1027-1032. [doi: 10.1002/jmri.24244] (ISI)
  2. R. Torres, R. Salas, H. Astudillo (2014). “Time-based hesitant fuzzy information aggregation approach for decision making problems”. Journal: International Journal of Intelligent Systems, vol 29, issue 6, pp. 579-595. Wiley Interscience. [doi:10.1002/int.21658] (ISI)

2013

  1. D. Laree, P. Reyes-Cabrera (2013). Método para la evaluación del uso seguro de dispositivos médicos en el ambiente del hogar (Evaluation method of the use of medical devices in the homecare environment). Vol. 7, número 13, pp.

2012

  1. Chabert S, Morán M, Hidalgo M, Vielma J (2012). “Estudio de Reproducibilidad de Resonancia Magnética Funcional Motora en el Hospital Carlos Van Buren.” Submitted to the Revista Médica de Chile. (ISI)
  2. S. Chabert, M. Villalobos, P. Ulloa, R. Salas, C. Tejos, S. San Martín and J. Pereda (2012). “Quantitative description of the morphology and ossification center in axial skeleton of 20 week-gestation formalin-fixed human fetuses using magnetic resonance images”. Accepted to the Journal of Prenatal Diagnosis. Interscience Wiley (ISI)

2011

  1. [2011] I.K. Dimov, G. Kijanka, Y. Park, J. Ducrée, T. Kang and L.P. Lee. “Integrated Microfluidic Array Plate (iMAP) for Cellular and Molecular Analysis“. Lab on a Chip, 2011, DOI: 10.1039/c1lc20105k
  2. [2011] D.Y. Liang, A.M. Tentori, I.K. Dimov, and L.P. Lee. Systematic characterization of degas-driven flow for poly(dimethylsiloxane) microfluidic devices. Biomicrofluidics, 2011, 5 (2), 024108 Berkeley, USA. (ISI)
  3. [2011] I.K. Dimov, L. Basabe-Desmonts, J.L. Garcia-Cordero, B.M. Ross, Y. Park, A.J. Ricco, and L. P. Lee. Stand-alone self-powered integrated microfluidic blood analysis system (SIMBAS), Lab Chip, 2011, 11 (5), pp. 845-850. (ISI)
  4. [2011] Yujie Wang, Gonzalo Álvarez, Rodrigo Salinas, Gloria Ramírez, Mónica Catalán, Cristian Díaz. Análisis del cumplimiento de la Guía Clínica del AUGE en pacientes con accidente cerebrovascular isquémico: la utilización de tecnología sanitaria de diagnóstico para prevención secundaria en un hospital público. Revista Médica de Chile vol.139 no.6 Santiago jun. 2011. doi: 10.4067/S0034-98872011000600001 (ISI)
  5. [2011] R. Salas, C. Saavedra, H. Allende, C. Moraga. “Machine Fusion to Enhance the Topology Preservation of Vector Quantization Artificial Neural Networks”. Pattern Recognition Letters, vol 32, issue 7, pp. 962-972, May 2011. Elsevier. (ISI)

2010 y anteriores

  1. Letelier I, Vielma J, Chabert S. (2010) “Implementación y validación de protocolo de comprensión de lenguaje mediante resonancia magnética funcional en el Hospital Carlos Van Buren”. Revista Chilena de Radiología, vol. 16, no. 2, pp.64-69. 2010 (SCIELO)
  2. I.K. Dimov, A. Riaz, J. Ducrée, and L.P. Lee (2010), “Hybrid Integrated PDMS Microfluidics with Silica Capillary”. Lab on a Chip, 2010, 10, pp. 1468-1471. (ISI)
  3. Ivan K. Dimov, Jose L. Garcia-Cordero, Justin O’Grady, Claus R. Poulsen, Caroline Viguier, Lorcan Kent, Paul Daly, Bryan Lincoln, Majella Maher, Richard O’Kennedy, Terry J. Smith, Antonio J. Ricco and Luke P. Lee (2008). Integrated microfluidic tmRNA purification and real-time NASBA device for molecular diagnostics. Lab on a Chip, 2008 DOI: 10.1039/b812515e (ISI)
  4. R. Salas, S. Moreno, H. Allende y C. Moraga (2007). “A Robust and Flexible model of Hierarchical Self Organizing Maps for Nonstationary Environments“. Neurocomputing, vol. 70, issues 16-18, pp. 2744-2757, october 2007. Elsevier. (ISI)
  5. Chabert S, Scifo P. (2007). “Diffusion Signal in Magnetic Resonance Imaging: Origin and Interpretation in Neurosciences.”. Biological Research. Vol. 40, pp. 385-400. (ISI)
  6. Patrick W. Wheeler, José R. Rodriguez, Jon C. Clare, Lee Empringham, Alejandro Weinstein (2002). Matrix converters: a technology review. IEEE Trans. Industrial Electronics 49(2): 276-288 (ISI)
  7. José R. Rodriguez, Jorge Pontt, Gerardo Alzamora, Norbert Becker, Ottomar Einenkel, Alejandro Weinstein
     (2002). Novel 20-MW downhill conveyor system using three-level converters. IEEE Trans. Industrial Electronics 49(5): 1093-1100

Libros

  1. [2010] P. Reyes. Structural Awareness in Mediated Learning Conversations (ISBN 978-3-639-19609-2). VDM Verlag. Número páginas 172
  2. [2009] G. Avendaño y C. Muñoz. Sensores y Transductores Biomédicos. 224 pag. Editorial UAM-Iztapalapa México 2002. (Texto oficial de Asignatura “Mediciones Biomédicas”, carrera Ingeniería Biomédica, U de Valparaíso)
  3. [2001] A. Glaría, P. Arellano. Máquinas que aprenden: Tópicos de Redes de Neuronas Artificiales”. NY Editores, www.e-libro.net. 227 páginas.

Capítulo de Libro

  1. [2011] A. Veloz, A. Orellana, J. Vielma, R. Salas and S. Chabert. “Brain Tumors: How Can Images and Segmentation Techniques Help?”. Chapter 4 in Diagnostic Techniques and Surgical Management of Brain Tumors. Ed. Ana Lucía Abujamra. pp. 67-92. ISBN 978-953-307-589-1. In Tech.
  2. [2010] H. Allende, C. Moraga, R. Ñanculef and R. Salas. “Ensembles Methods for Machine Learning”. Pattern Recognition and Machine Vision – In honor and memory of prof. King-Sun Fu. P. Shen-Pei Wang (Ed.), pp. 247-261. The River Publishers Series in Information Science and Technology
  3. [2007] G. Avendaño. La Formación en ingeniería Biomédica: Aspectos característicos de una inovación curricular en la Universidad de Valparaíso. Innovación curricular en educación superior: una estrategia de desarrollo hacia el bicentenario, pp. 53-68. Universidad de Valparaíso.
  4. [2001] A. Glaría. Modelaje Neuronal. Antonio Glaría y Patricio Arellano (Editores). “Máquinas que aprenden: Tópicos de Redes de Neuronas Artificiales” NY EDITORES www.e-libro.net: Cap. (7): 162-203.
  5. [2001] A. Glaría. “Prefacio” en A. Glaría y P. Arellano (Editores). “Máquinas que aprenden: Tópicos de Redes de Neuronas Artificiales”. NY Editores www.e-libro.net. pp: v-xii

Propiedad Intelectual

  1. [2010] Pablo Reyes, Álvaro Jara, Alex Saez, 2010, Sistema de gestión para pacientes diabéticos tipo I (software). Departamento de Derechos Intelectuales. Nº Registro 188430
  2. [2010] Pablo Reyes, Álvaro Jara, Alex Saez, 2010, Diabmovil (software). Departamento de Derechos Intelectuales. Nº Registro 188432
  3. [2010] Pablo Reyes, Álvaro Jara, Alex Saez, 2010, Plataforma móvil para el monitoreo de pacientes diabéticos tipo I (software). Departamento de Derechos Intelectuales. Nº Registro 188431
 

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