Publicaciones en Revistas Indexadas


  1. A. Veloz, C. Moraga, A. Weinstein, L. Hernández-García, S. Chabert, R. Salas, R. Riveros, C. Bennett, H. Allende (2020). Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis (2020). IEEE Trans. Fuzzy Systems. vol 28, issue 1, pp.100-111. doi: 10.1109/TFUZZ.2019.2936807 (WOS)
  2. Oscar Valencia, Iver Cristi, Darío Ahumada, Keiny Meza, Rodrigo Salas, Alejandro Weinstein, Rodrigo Guzmán-Venegas (2020) El impacto inicial con antepié incrementa la actividad muscular del gastrocnemios durante la carrera. Un estudio cuantitativo de actividad electromiográfica. The initial impact with forefoot increases the muscular activity of gastrocnemius during running. A quantitative study of electromyographic activity. Retos, vol 38, pp. 271-275. WoS


  1. D. Mellado, R. Salas, C. Saavedra, R. Torres, S. Chabert (2019). Self-Improving Generative Artificial Neural Network with novelty detection for Incremental Class Learning. Algorithms 2019, 12(10), 206. DOI: 10.3390/a12100206 (WOS)
  2. S. Chabert, J. Verdu, G. Huerta, C. Montalba, P. Cox, R. Riveros, S. Uribe, R. Salas, A. Veloz. Impact of b-value sampling scheme on Brain IVIM estimation in Healthy subjects. Journal Magnetic Resonance in Medical Sciences. Article ID mp.2019-0061, ISSN 1880-2206, doi: 10.2463/ (WOS)
  3. C. Saavedra, R. Salas, L. Bougrain. Wavelet-based semblance methods to enhance single-trial ERP detection. Computational Intelligence and Neuroscience. Article ID 8432953, 10 pages (WOS)
  4. E. Vivas, H. Allende-Cid, R. Salas and L. Bravo (2019). Polynomial and wavelet-type transfer function models to improve the  fisheries landing forecasting with exogenous variable. Entropy 2019, 21(11), 1-17 MDPI. DOI:10.3390/e21111082 WoS
  5. M. Salinas, R. Salas, D. Mellado, A. Glaría, C. Saavedra. A Computational Fractional Signal Derivative Method. Modelling and Simulation in Engineering. Research Article (10 pages), Article ID 7280306, Volume 2018. ISSN: 1687-5591 (WOS)
  6. Pavel Prado-Gutierrez, Eduardo Martínez-Montes, Alejandro Weinstein, Matías Zañartu (2019) Estimation of auditory steady-state responses based on the averaging of independent EEG epochs. Plos One 14 (1) e0206018 (ISI)
  7. Solis-Urra, Olivares-Arancibia, Suarez-Cadenas, Sanchez-Martinez, Rodriguez-Rodriguez, Ortega, Esteban-Cornejo, Sanchez-Cadenas, Castro-Piñero, Veloz, Chabert, Saradangani, Zavala, Migueles, Quiroz, Martinez, Urzua, Cristi-Montero. Rationale, design and methods of a cross-sectional study on brain, cognition, physical activity, and fitness in schoolchildren. The Cogni-Action project: part I. BMC Pediatrics,19:260 (2019). WoS
  8. Varela-Mattatall, Tobisch, Stirnberg, Chabert, Uribe, Tejos, Stöcker, Irarrázaval, Comparison of Q-Space Reconstruction Methods for Undersampled Diffusion Spectrum Imaging Data. Magnetic Resonance in Medical Sciences. (2019) In Press. doi:10.2463/ WoS
  9. Ulloa G, Naranjo R, Allende-Cid H, Chabert S, Allende H, Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation. CIARP 2018, LNCS 11401 proceedings, pp 1—8, 2019. Springer


  1. P. Reyes-Cabrera, D. Larée, A. Weinstein and A. Jara (2018) Towards a conceptual model for the use of home healthcare medical devices: The multi-parameter monitor case. Plos One 13 (12) e0208723 (ISI)
  2. PA Warren, U Gostoli, GD Farmer, W El-Deredy, U Hahn. A re-examination of “bias” in human randomness perception. Journal of Experimental Psychology: Human Perception and Performance 44 (5), 663 (2018)
  3. EJ Hird, W El‐Deredy, A Jones, D Talmi. Temporal dissociation of salience and prediction error responses to appetitive and aversive taste. Psychophysiology 55 (2), e12976 (2018)
  4. M Craddock, E Klepousniotou, W El-Deredy, E Poliakoff, DM Lloyd. Transcranial alternating current stimulation at 10 Hz modulates response bias in the Somatic Signal Detection Task. bioRxiv, 330134 (2018)
  5. EJ Hird, AKP Jones, D Talmi, W El-Deredy. A comparison between the neural correlates of laser and electric pain stimulation and their modulation by expectation Journal of neuroscience methods 293, 117-127 (2018)
  6. Suliman Belal, James Cousins, Wael El-Deredy, Laura M. Parkes, Jules Schneider, Hikaru Tsujimura, Alexia Zoumpoulaki, Marta Perapoch, Lorena Santamaría, Penelope A. Lewis: Identification of memory reactivation during sleep by EEG classification. NeuroImage 176: 203-214 (2018)
  7. M. Salinas, R. Salas, D. Mellado, A. Glaría y C. Saavedra (2018) A Computational Fractional Signal Derivative Method. Journal of  Modelling and Simulation in Engineering. Volume 2018, Article ID 7280306, 10 pages. DOI: 10.1155/2018/7280306 (ISI)
  8. 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)
  9. 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)
  10. Richard A, Orio P, Tanré E (2018) An Integrate-and-fire Model To Generate Spike Trains With Long-range Dependence. Journal Of Computational Neuroscience 44(3):297-312. Doi: 10.1007/s10827-018-0680-1
  11. Xu K, Maidana JP, Castro S and Orio P (2018) Synchronization transition in neuronal networks composed of chaotic or non-chaotic oscillators. Scientific Reports. 8(1):8370. doi: 10.1038/s41598-018-26730-9
  12. Taramasco, C., Rodenas, T., Martinez, F., Fuentes, P., Muñoz, R., Olivares, R., De Albuquerque V., Demongeot, J. (2018). A Novel Monitoring System for Fall Detection in Older People. IEEE Access (ISI - Aceptado)
  13. Vieira, F., Cechinel, C. Munoz, R., Villarroel, R., Merino, E. , Lemos, R. (2018). Using Multimodal Data to Find Patterns in Student Presentations. In Learning Objects and Technology (LACLO), Latin American Conference on (Scopus - Aceptado)
  14. Quezada, A., Juárez-Ramírez, R., Jiménez, S., Ramírez-Noriega, A., Inzunza, S., Villarroel, R. & Munoz, R. (2018). Relations between Touch Target Size and Drag Distance in Mobile Applications for Users with Autism Spectrum Disorders. Journal of Medical Systems (ISI - Aceptado)
  15. Barcelos, T. S., Munoz, R., Villarroel, R., Merino, E., Silveira, I.F. (2018). Mathematics Learning through Computational Thinking Activities: A Systematic Literature Review. Journal of Universal Computer Science, 24(6) (ISI - To appear)
  16. Munoz, R., Becerra, C., Noël, R., Camblor, M., Barcelos, T. S., Kreisel, S., & Villarroel, R. (2018). Design, Implementation and Evaluation of a Learning Object that Supports the Mathematics Learning in Children with Autism Spectrum Disorders. CLEI Electronic Journal, 21(1), 8. (ScIELO)
  17. Munoz, R., Barcelos, T. S., & Villarroel, R. (2018). CT4All: Enhancing Computational Thinking Skills in Adolescents with Autism Spectrum Disorders. IEEE Latin America Transactions, 16(3), 909–917. (ISI)
  18. Munoz, R., Olivares, R., Taramasco, C., Villarroel, R., Soto, R., Barcelos, T. S., Merino, E., Alonso-Sánchez, M. F. (2018). Using Black Hole Algorithm to improve EEG-based Emotion Recognition. Computational Intelligence and Neuroscience, 2018, 21. (ISI)
  19. Munoz, R., Villarroel, R., Barcelos, T. S., Souza, A., Merino, E., Guiñez, R., & Silva, L. A. (2018). Development of a Software that Supports Multimodal Learning Analytics: A Case Study on Oral Presentations. Journal of Universal Computer Science, 24(2), 149–170. (ISI)
  20. Quezada, A., Juárez-Ramírez, R., Jiménez, S., Ramírez-Noriega, A., Inzunza, S., & Munoz, R. (2018). Assessing the Target’ Size and Drag Distance in Mobile Applications for Users with Autism. In World Conference on Information Systems and Technologies (pp. 1219–1228). Springer. (Scopus)


  1. Arredondo, L.T., C. Perez. (2017) Spatially coincident vibrotactile noise improves subthreshold stimulus detection. PLos ONE 12 (11):e0186932.
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. 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: (ISI)
  8. 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)
  9. 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)
  10. 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)
  11. 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
  12. 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
  13.  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
  14. González A, Herrera G, Ugarte G, Restrepo C, Piña R, Pertusa M, Orio P, Madrid R. (2017) IKD Current in Cold Transduction and Damage-Triggered Cold Hypersensitivity. Adv Exp Med Biol. 2017;1015:265-277. doi: 10.1007/978-3-319-62817-2_14.
  15. González A, Ugarte G, Restrepo C, Herrera G, Piña R, Gómez-Sánchez JA, Pertusa M, Orio P, Madrid R. (2017) Role of the excitability brake potassium current IKD in cold allodynia induced by chronic peripheral nerve injury. J Neurosci. 37 (12) 3109-3126; doi: 10.1523/JNEUROSCI.3553-16.2017.
  16. Xu K., Maidana JP, Caviedes M, Quero D, Aguirre P and Orio P. (2017). Hyperpolarization-activated current induces period-doubling cascades and chaos in a cold thermoreceptor model. Front Comp Neurosci. 11:12. doi: 10.3389/fncom.2017.00012. eCollection 2017
  17. Alvarado, C., Munoz, R., Villarroel, R., Acuña, O., Barcelos, T. S., & Becerra, C. (2017). ValpoDijo: Developing a software that supports the teaching of chilean idioms to children with autism spectrum disorders. In Learning Technologies (LACLO), 2017 Twelfth Latin American Conference on (pp. 1–4). IEEE. (Scopus)
  18. Souza, A., Barcelos, T. S., Munoz, R., Silveira, I. F., Omar, N., & Silva, L. (2017). Self-organizing maps to find computational thinking features in a game building workshop. In Computer Conference (CLEI), 2017 XLIII Latin American (pp. 1–8). IEEE. (Scopus)
  19. Villarroel, R., Cornide-Reyes, H., Muñoz, R., & Barcelos, T. (2017). Flipped classroom+ plickers, an experience to propitiate collaborative learning in software engineering. In 2017 36th International Conference of the Chilean Computer Science Society (SCCC). IEEE. (Scopus)


  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)
  11. Becerra, C., Muñoz, R., Noël, R., & Barría, M. (2016). Learning objects recommendation platform based on learning styles for programming fundamentals. In Learning Objects and Technology (LACLO), Latin American Conference on (pp. 1–6). IEEE.  (Scopus)
  12. Becerra, C., Noel, R., Munoz, R., & Quiroga, I. (2016). Explorando aprendo: Learning object to enhance language development in children with specific language impairment. In Learning Objects and Technology (LACLO), Latin American Conference on (pp. 1–5). IEEE.  (Scopus)
  13. Munoz, R., Barcelos, T. S., Villarroel, R., & Silveira, I. F. (2016). Game design workshop to develop computational thinking skills in teenagers with Autism Spectrum Disorders. In Information Systems and Technologies (CISTI), 2016 11th Iberian Conference on (pp. 1–4). IEEE.  (Scopus)
  14. Munoz, R., Barcelos, T., Villarroel, R., Becerra, C., Noël, R., & Ponce, F. (2016). Using app inventor to change perceptions about software engineering. In Computer Science Society (SCCC), 2016 35th International Conference of the Chilean (pp. 1–9). IEEE.  (Scopus)
  15. Munoz, R., Becerra, C., Noël, R., Barcelos, T., Villarroel, R., Kreisel, S., & Camblor, M. (2016). Proyect@ matemáticas: A learning object for supporting the practitioners in autism spectrum disorders. In Learning Objects and Technology (LACLO), Latin American Conference on (pp. 1–6). IEEE.  (Scopus)
  16. Noël, R., Munoz, R., Becerra, C., & Villarroel, R. (2016). Developing competencies for software requirements analysis through project based learning. In Computer Science Society (SCCC), 2016 35th International Conference of the Chilean (pp. 1–7). IEEE.  (Scopus)


  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:/]
  8. Leiva V, Tejo M, Guiraud P, Schmachtenberg O, Orio P and Marmolejo-Ramos F.  Modeling neural activity with cumulative damage distributions. Biological Cybernetics. 109(4-5):421-33. Doi: 10.1007/s00422-015-0651-9
  9. Olivares E, Orio P. (2015) Mathematical Modeling of TRPM8 and the Cold Thermoreceptors. In: TRP Channels in Sensory Transduction. Madrid, R.; Bacigalupo, J.,editors. Springer International Publishing
  10. Olivares E, Salgado S, Maidana JP, Herrera G, Campos M, Madrid R and Orio P (2015). TRPM8-dependent dynamic response in a mathematical model of cold thermoreceptor. PLOS One 588(Pt 17):3141-8 Doi: 10.1371/journal.pone.0139314
  11. Barcelos, T. S., Munoz, R., & Silveira, I. F. (2015). Improving Novice Programmers’ Skills through Playability and Pattern Discovery: A Descriptive Study of a Game Building Workshop. In Human Factors in Software Development and Design (pp. 141–172). IGI Global (Scopus).


  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)
  3. Pezo D, Soudry D and Orio P (2014). Diffusion approximation-based simulation of stochastic ion channels: which method to use?. Front. Comput. Neurosci. 8:139. Doi: 10.3389/fncom.2014.00139.
  4. Barcelos, T. S., Costa, G. C., Munoz, R., & Silveira, I. (2014). Informal HCI: Fixing Playability Issues As A Strategy To Improve The Skills Of Novice Programmers. IEEE Latin America Transactions, 12(1), 29–35. (ISI)


  1. D. Laree, P. Reyes-Cabrera (2013). Método para la evaluación del usoseguro 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.
  2. Boric K, Orio P, Viéville T, Whitlock KE (2013). Quantitative analysis of cell migration using optical flow. PLOS One,8(7): e69574. Doi: 10.1371/journal.pone.0069574.
  3. Escobar MJ, Pezo D, Orio P. (2013) Mathematical analysis and modeling of motion direction selectivity in the retina. Journal of Physiology Paris. 107(5):349-59. Doi: 10.1016/j.jphysparis.2013.08.003
  4. Barcelos, T., Costa, G., Muñoz, R., Noël, R., & Silveira, I. (2013). Informal HCI: what may students learn from playability issues during a game design workshop? In Proceedings of the 2013 Chilean Conference on Human-Computer Interaction (pp. 116–119). ACM. (Scopus)
  5. Barcelos, T. S., Muñoz-Soto, R., & Silveira, I. F. (2013). IHC no ensino técnico: doisrelatos de experiência. In WEIHC (pp. 13–18).(Scopus)
  6. Barcelos, T., Costa, G., Muñoz, R., Noël, R., & Silveira, I. (2013). Informal HCI: what may students learn from playability issues during a game design workshop? In Proceedings of the 2013 Chilean Conference on Human-Computer Interaction (pp. 116–119). ACM. (Scopus)
  7. Barcelos, T. S., Muñoz, R., & Silveira, I. F. (2013). IHC no ensino técnico: doisrelatos de experiência. In WEIHC (pp. 13–18). (Scopus)


  1. Chabert S, Morán M, Hidalgo M, Vielma J (2012). “Estudio de Reproducibilidad de Resonancia Magnética FuncionalMotora 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)
  3. Orio P, Parra A, Madrid R, González O, Belmonte C, Viana F. (2012) Role of ih in the firing pattern of mammalian cold thermoreceptor endings. J Neurophysiol. 108(11):3009-23.
  4. Orio P, Soudry D. (2012) Simple, fast and accurate implementation of the diffusion approximation algorithm for stochastic ion channels with multiple states. PLoS ONE. 7(5): e36670
  5. Pertusa M, Moldenhauer H, Brauchi S, Latorre R, Madrid R, Orio P (2012). Mutagenesis and temperature-sensitive little machines. In: Mutagenesis, Mishra, R. Ed., InTech Open Access publisher. Chapter 11, pp 221-246.


  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)
  6. Brauchi S., Orio P. (2011) Voltage Sensing in ThermoTRP Channels. Adv.Exp. Med. Biol. 704:517-530.
  7. Latorre R, Brauchi S, Madrid R, Orio P. (2011) A cool channel in cold transduction. Physiology (Bethesda). Aug;26(4):273-85
  8. Muñoz, R., Barcelos, T., & Chalegre, V. (2011). Defining and validating virtual worlds usability heuristics. In Chilean Computer Science Society (SCCC), 2011 30th International Conference of the (pp. 171–178). IEEE.
  9. Muñoz, R., & Rusu, C. (2011). Mundos virtuales:?` usabilidad real? In Proceedings of the 10th Brazilian Symposium on Human Factors in Computing Systems and the 5th Latin American Conference on Human-Computer Interaction (pp. 134–138). Brazilian Computer Society. (Scopus)
  10. Rusu, C., Muñoz, R., Roncagliolo, S., Rudloff, S., Rusu, V., & Figueroa, A. (2011). Usability heuristics for virtual worlds. In The Third International Conference on Advances in Future Internet (AFIN2011) (pp. 16–19). (Scopus)

2010 y anteriores

  1. Letelier I, Vielma J, Chabert S. (2010) “Implementación y validación de protocolo de comprensión de lenguajemedianteresonancia 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


  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 queaprenden: Tópicos de Redes de Neuronas Artificiales”. NY Editores, 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 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 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

Conferencias organizadas por la EICB

  1. XIII IEEE Escuela de Verano Latinoamericana de Inteligencia Computacional EVIC2017
  2. 1er Jornada Estudiantil de Inteligencia Computacional JEIC2017
  3. Jornadas Chilenas de Ingeniería Biomédica JCIB










Programa Acreditado CNA