Articles in international refereed journals

  1. J. Svane, T. Wiktorski, S. Ørn, and T. C. Eftestøl, Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction , MethodsX, vol. 11, p. 102381, 2023.

  2. J. Svane, T. Wiktorski, S. Ørn, and T. C. Eftestøl, Recurrent neural networks for artifact correction in HRV data during physical exercise , Nordic Machine Intelligence, vol. 3, no. 1, pp. 11-11, 2023.

  3. E. Unneland, A. Norvik, D. Bergum, D. G. Buckler, A. Bhardwaj, T. C. Eftestøl, E. Aramendi, T. Nordseth, B. S. Abella, J. T. Kvaløy, et al., Non-shockable rhythms: A parametric model for the immediate probability of return of spontaneous circulation , Resuscitation, vol. 191, p. 109895, 2023.

  4. A. Norvik, J. Kvaløy, G. Skjeflo, D. Bergum, T. Nordseth, J. Loennechen, E. Unneland, D. Buckler, A. Bhardwaj, T. Eftestøl, Heart rate and QRS duration as biomarkers predict the immediate outcome from pulseless electrical activity , Resuscitation, vol. 185, p. 109739, 2023.

  5. J. Urdal, K. Engan, T. Eftestøl, Ø. Meinich-Bache, I. A. Haug, P. F. Mdoe, E. Mduma, L. B. Yarrot, H. Kidanto, and H. Ersdal, Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data , Biomedical Signal Processing and Control, vol. 86, p. 105290, 2023.

  6. J. Coult, H. Kwok, T. Eftestøl, S. Bhandari, J. Blackwood, N. Sotoodehnia, P. J. Kudenchuk, and T. D. Rea, Continuous assessment of ventricular fibrillation prognostic status during cpr: Implications for resuscitation , Resuscitation, vol. 179, pp. 152-162, 2022.

  7. A. Norvik, E. Unneland, D. Bergum, D. Buckler, A. Bhardwaj, T. Eftestøl, E. Aramendi, T. Nordseth, B. Abella, J. T. Kvaløy, et al., Pulseless electrical activity in in-hospital cardiac arrest--a crossroad for decisions , Resuscitation, vol. 176, pp. 117-124, 2022.

  8. V. Frøysa, G. J. Berg, T. Eftestøl, L. Woie, and S. Ørn, Texture-based probability mapping for automatic scar assessment in late gadolinium-enhanced cardiovascular magnetic resonance images, European Journal of Radiology Open, vol. 8, p. 100387, 2021.

  9. R. Wetteland, V. Kvikstad, T. Eftestøl, E. Tøssebro, M. Lillesand, E. A. Janssen, and K. Engan, Automatic diagnostic tool for predicting cancer grade in bladder cancer patients using deep learning, IEEE Access, 2021.

  10. J. Urdal, K. Engan, T. Eftestøl, S. H. Haaland, B. Kamala, P. Mdoe, H. Kidanto, and H. Ersdal, Fetal heart rate development during labour, BioMedical Engineering OnLine, vol. 20, no. 1, pp. 1--20, 2021.

  11. M. Bjørkavoll-Bergseth, Ø. Kleiven, B. Auestad, T. Eftestøl, K. Oskal, M. Nygård, Ø. Skadberg, K. M. Aakre, T. Melberg, K. Gjesdal, et al., Duration of elevated heart rate is an important predictor of exercise-induced troponin elevation, Journal of the American Heart Association, vol. 9, no. 4, p. e014408, 2020.

  12. E. Skogvoll, T. Nordseth, R. M. Sutton, T. Eftestøl, U. Irusta, E. Aramendi, D. Niles, V. Nadkarni, R. A. Berg, B. S. Abella, et al., Factors affecting the course of resuscitation from cardiac arrest with pulseless electrical activity in children and adolescents, Resuscitation, vol. 152, pp. 116--122, 2020.

  13. I. Isasi, U. Irusta, E. Aramendi, T. Eftestøl, J. K.-J. Kramer-Johansen, L. Wik, et al., Rhythm analysis during cardiopulmonary resuscitation using convolutional neural networks, Entropy, vol. 22, no. 6, p. 595, 2020.

  14. J. Urdal, K. Engan, T. Eftestøl, V. Naranjo, I. A. Haug, A. Yeconia, H. Kidanto, and H. Ersdal, Automatic identification of stimulation activities during newborn resuscitation using ecg and accelerometer signals, Computer methods and programs in biomedicine, vol. 193, p. 105445, 2020.

  15. Ø. Meinich-Bache, S. L. Austnes, K. Engan, I. Austvoll, T. Eftestøl, H. Myklebust, S. Kusulla, H. Kidanto, and H. Ersdal, Activity recognition from newborn resuscitation videos, IEEE journal of biomedical and health informatics, vol. 24, no. 11, pp. 3258--3267, 2020.

  16. J. Schulz, J. T. Kvaløy, K. Engan, T. Eftestøl, S. Jatosh, H. Kidanto, and H. Ersdal, State transition modeling of complex monitored health data, Journal of Applied Statistics, vol. 47, no. 11, pp. 1915--1935, 2020.

  17. R. Wetteland, K. Engan, T. Eftestøl, V. Kvikstad, and E. A. Janssen, A multiscale approach for whole-slide image segmentation of five tissue classes in urothelial carcinoma slides, Technology in Cancer Research & Treatment, vol. 19, p. 1533033820946787, 2020.

  18. I. Isasi, U. Irusta, A. B. Rad, E. Aramendi, M. Zabihi, T. Eftestøl, J. Kramer-Johansen, and L. Wik, Automatic cardiac rhythm classification with concurrent manual chest compressions, IEEE Access, vol. 7, pp. 115147--115159, 2019.

  19. Ø. Meinich-Bache, K. Engan, I. Austvoll, T. Eftestøl, H. Myklebust, L. Yarrot, H. Kidanto and H. Ersdal, Object Detection During Newborn Resuscitation Activities , IEEE Journal of Biomedical and Health Informatics ( Early Access ), DOI: 10.1109/JBHI.2019.2924808..

  20. A. Picon, U. Irusta, A. Álvarez-Gila, E. Aramendi, F. Alonso-Atienza, C. Figuera, U. Ayala, E. Garrote, L. Wik, J. Kramer-Johansen, and T. Eftestøl Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia , PloS one, vol. 14, no. 5, p. e0216756, 2019.

  21. M. Khanmohammadi, K. Engan, C. Sæland, T. Eftestøl, and A. I. Larsen, Automatic estimation of coronary blood flow velocity step 1 for developing a tool to diagnose patients with micro-vascular angina pectoris , Frontiers in Cardiovascular Medicine, vol. 6, pp. 1--11, 2019.

  22. T. Nordseth, D. E. Niles, T. Eftestøl, R. M. Sutton, U. Irusta, B. S. Abella, R. A. Berg, V. M. Nadkarni, and E. Skogvoll, Rhythm characteristics and patterns of change during cardiopulmonary resuscitation for in-hospital paediatric cardiac arrest , Resuscitation, 2019.

  23. D. Dlugosz, T. Eftestøl, A. Królak, T. Wiktorski, and S. Ørn, The North sea bicycle race ECG project: Time-domain analysis , Journal of Automation, Mobile Robotics & Intelligent Systems, vol. 6, pp. 1--11, 2019.

  24. I. Isasi, U. Irusta, A. Elola, E. Aramendi, U. Ayala, E. Alonso, J. Kramer-Johansen, and T. Eftestol A machine learning shock decision algorithm for use during piston-driven chest compressions , IEEE Transactions on Biomedical Engineering, 2018.

  25. A. Bahrami Rad, T. Eftestøl, U. Irusta, J.T. Kvaløy, L. Wik, J. Kramer-Johansen, A.K. Katsaggelos, and K. Engan, An automatic system for the comprehensive retrospective analysis of cardiac rhythms in resuscitation episodes , IEEE Transactions on Biomedical Engineering (2018)), Resuscitation, vol 122;6-12;2018.

  26. A. Bahrami Rad, T. Eftestøl, K. Engan, U. Irusta, J.T. Kvaløy, J. Kramer-Johansen, L. Wik, and A.K. Katsaggelos ECG-based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis , IEEE Transactions on Biomedical Engineering (2017)), DOI 10.1109/TBME.2017.2688380, IEEE.

  27. H. Vu, K. Engan, T. Eftestøl, A. Katsaggelos, S. Jatosh, S.Kusulla, E. Mduma, H. Ersdal Automatic Classification of Resuscitation Activities on Birth-Asphyxiated Newborns using Acceleration and ECG signals , Biomedical Signal Processing and Control 36 (2017), 20-26.

  28. K. Oppedal, K. Engan, T. Eftestøl, M. Beyer and D. Aarsland Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images, Biomedical Signal Processing and Control 2017, 33, 19-29.

  29. C. Figuera ,U. Irusta, E. Morgado, E. Aramendi, U. Ayala, L. Wik, J. Kramer-Johansen, T. Eftestøl, F. Alonso-Atienza Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators , PloS one, 2016, 11.7: e0159654. i

  30. A. Bahrami Rad, K. Engan , A.K. Katsaggelos, J.T. Kvaløy, L. Wik, J. Kramer-Johansen, U. Irusta and T. Eftestøl Automatic cardiac rhythm interpretation during resuscitation , Resuscitation (2016), http://dx.doi.org/10.1016/j.resuscitation.2016.01.015

  31. H. Vu, T. Eftestøl, K. Engan, J. Eilevstjønn, L. Yarrot, J. Linde, and Hege Ersdal. Automatic Detection and Parameterization of Manual Bag-Mask Ventilation on Newborns , IEEE journal of biomedical and health informatics 2016; 10.1109/JBHI.2016.2518238

  32. E. Aramendi, U. Irusta, U. Ayala, H. Naas, J. Kramer-Johansen, H and T. Eftestøl Filtering mechanical chest compression artefacts from out-of-hospital cardiac arrest data , Resuscitation (2016), doi:10.1016/j.resuscitation.2015.10.012

  33. H. Vu, T. Eftestøl, K. Engan, J. Eilevstjønn, L. B. Yarrot, J. Linde, and Hege Ersdal. Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation, Biomedical Engineering Systems and Technologies, 2015 ; pg. 275-290

  34. L. Woie, K. Engan, T. Eftestøl, A.I. Larsen, S. Ørn The localization and characterization of ischemic scars in relation to the infarct related coronary artery assessed by cardiac magnetic resonance and a novel automatic post-processing method , Cardiology Research and Practice (2015), (in press).

  35. L. Woie, K. Engan, T. Eftestøl, J. T. Kvaløy, S. Ørn The relationship between transmurality of ischemic scars and the heart rate of ventricular tachycardia , Scandinavian Cardiovascular Journal (2015), (ahead-of-print), 1-8.

  36. L.P. Kotu, K. Engan, R. Borhani, A.K. Katsaggelos, S. Ørn, L. Woie, and T. Eftestøl Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients , Artificial Intelligence In Medicine (2015), http://dx.doi.org/10.1016/j.artmed.2015.06.001

  37. K.Gundersen, J.T. Kvaløy, T.Eftestøl, and J.Kramer-Johansen, Modelling ventricular fibrillation coarseness during cardiopulmonary resuscitation by mixed effects stochastic differential equations , Statist. Med., 2015, doi:10.1002/sim.6539.

  38. K. Oppedal, T. Eftestøl, K. Engan, M.K. Beyer, and D. Aarsland, Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images , International Journal of Biomedical Imaging, vol. 2015, Article ID 572567, 14 pages, 2015. doi:10.1155/2015/572567

  39. D. Gonzales-Otero, S.Ruiz de Gauna, J. Ruiz, M. Daya, L. Wik, J.K. Russell, J. Kramer-Johansen, T. Eftestøl, E. Alonso, and U. Ayala, Chest compression rate feedback based on transthoracic impedance , Resuscitation (2015), http://dx.doi:10.1016/j.resuscitation.2015.05.027

  40. U. Ayala, U. Irusta, J. Ruiz, S.Ruiz de Gauna, D. Gonzales-Otero, E. Alonso, J. Kramer-Johansen, H. Naas, and T. Eftestøl Fully automatic rhythm analysis during chest compression pauses , Resuscitation (2015), http://dx.doi.org/10.1016/j.resuscitation.2014.11.022

  41. T.Eftestøl, and L.D.Sherman Towards the Automated Analysis and Database Development of Defibrillator Data from Cardiac Arrest , BioMed Research International, vol. 2014, Article ID 276965, 19 pages, 2014. doi:10.1155/2014/276965

  42. E. Alonso, T. Eftestøl, E. Aramendi, J. Kramer-Johansen, E. Skogvoll, and T. Nordseth Beyond ventricular fibrillation analysis: Comprehensive waveform analysis for all cardiac rhythms occurring during resuscitation , Resuscitation (2014), http://dx.doi.org/10.1016/j.resuscitation.2014.08.022

  43. U. Ayala, T. Eftestøl, E. Alonso, U. Irusta, E. Aramendi, S. Wali, and J. Kramer-Johansen Automatic detection of chest compressions for the assessment of CPR-quality parameters , Resuscitation (2014), http://dx.doi.org/10.1016/j.resuscitation.2014.04.007

  44. U. Ayala, U. Irusta, J. Ruiz, T. Eftestøl, J. Kramer-Johansen, F. Alonso-Atienza, E. Alonso, and D. Gonzales-Otero A reliable method for rhythm analysis during cardiopulmonary resuscitation , BioMed Research International, vol. 2014, Article ID 872470, 11 pages, 2014. doi:10.1155/2014/872470

  45. S.Ruiz de Gauna, U.Irusta, J.Ruiz, U. Ayala, E.Aramendi, and T.Eftestøl, Rhythm Analysis during Cardiopulmonary Resuscitation: Past, Present, and Future, BioMed Research International, vol. 2014, Article ID 386010, 13 pages, 2014. doi:10.1155/2014/386010

  46. L.P. Kotu, K. Engan, K. Skretting, S. Ørn, L. Woie, and T. Eftestøl Segmentation of Scarred Myocardium in Cardiac Magnetic Resonance Images , ISRN Biomedical Imaging, vol. 2013, Article ID 504594, 12 pages, 2013. doi:10.1155/2013/504594

  47. L. Woie, F. Måløy, T. Eftestøl, K. Engan, T. Edvardsen, J.T. Kvaløy, and S. Ørn, Comparing a novel automatic 3D method for LGE-CMR quantification of scar size with established methods , The International Journal of Cardiovascular Imaging, 2013, doi:10.1007/s10554-013-0329-0.

  48. L.P. Kotu, K. Engan, K. Skretting, F. Måløy, S. Ørn, L. Woie, and T. Eftestøl Probability mapping of scarred myocardium using texture and intensity features in CMR images , BioMedical Engineering OnLine, 2013, DOI:10.1186/1475-925X-12-91.

  49. T. Nordseth, D.P. Edelson, D. Bergum, T.M. Olasveengen, T. Eftestøl, R. Wiseth, J.T. Kvaløy, B.S. Abella, and E. Skogvoll Optimal loop duration during the provision of in-hospital advanced life support (ALS) to patients with an initial non-shockable rhythm , Resuscitation, 2013, DOI:10.1016/j.resuscitation.2013.08.261.

  50. J.Ruiz, E. Alonso, E. Aramendi, J. Kramer-Johansen, T. Eftestøl, U. Ayala, and D. Gonzaléz-Otero Reliable extraction of the circulation component in the thoracic impedance measured by defibrillation pads , Resuscitation, DOI:10.1016/j.resuscitation.2013.05.020.

  51. J.Ruiz, U. Ayala, S.Ruiz de Gauna, U.Irusta, D. Gonzaléz-Otero, E. Aramendi, E. Alonso, and T. Eftestøl Direct evaluation of the effect of filtering the chest compression artifacts on the uninterrupted cardiopulmonary resuscitation time , The American journal of emergency medicine, 2013, DOI:10.1016/j.ajem.2013.02.044.

  52. T. Nordseth, D. Bergum, D.P. Edelson, T.M. Olasveengen, T. Eftestøl, R. Wiseth, B.S. Abella, and E. Skogvoll Clinical state transitions during advanced life support (ALS) in in-hospital cardiac arrest , Resuscitation, 2013, DOI:10.1016/j.resuscitation.2013.04.010.

  53. J.Ruiz, S.Ruiz de Gauna, U.Irusta, D. Gonzaléz-Otero, E. Alonso, J.Kramer-Johansen, and T. Eftestøl Feasibility of automated rhythm assessment in chest compression pauses during cardiopulmonary resuscitation , Resuscitation, 2013, DOI:10.1016/j.resuscitation.2013.01.034.

  54. Z. Yang, Z. Yang, T. Eftestøl, P.A. Steen, W. Lu, and R.G. Harrison , A mixture model classifier and its application on the biomedical time series , Applied Artificial Intelligence, 2012, vol 26, pp. 588-597.

  55. T.Eftestøl, Chest compressions: The good, the bad and the ugly (editorial) , Resuscitation, 2012, http://dx.doi.org/10.1016/j.resuscitation.2011.12.022.

  56. E. Aramendi, U. Ayala, U.Irusta, E. Alonso, T.Eftestøl, and J.Kramer-Johansen, Supression of the cardiopulmonary resuscitation artefacts using the instantaneous chest compression rate extracted from the thoracic impedance , Resuscitation, 2012, http://dx.doi.org/10.1016/j.resuscitation.2011.11.029.

  57. L. Woie, T. Eftestøl, K. Engan, J.T. Kvaløy, D.W.T. Nilsen, and S. Ørn, The heart rate of ventricular tachycardia following an old myocardial infarction is inversely related to the size of scarring , Europace, 2011, doi:10.1093/europace/euq466.

  58. J.Ruiz, U.Irusta, S.Ruiz de Gauna, and T.Eftestøl, Cardiopulmonary resuscitation artefact suppression using a Kalman filter and the frequency of chest compressions as the reference signal , Resuscitation, 2010, doi:10.1016/j.resuscitation.2010.02.031.

  59. T.Eftestøl, K.H. Thorsen, E.Tøssebro, C.Rong, and P.A. Steen, Representing resuscitation data - Considerations on efficient analysis of quality of cardiopulmonary resuscitation , Resuscitation, vol. 80, pp. 311-317, 2009.

  60. K.H. Thorsen, T.Eftestøl, E.Tøssebro, C.Rong, and P.A. Steen, Using ontologies to integrate and share resuscitation data from diverse medical devices , Resuscitation, 2009,doi:10.1016/j.resuscitation.2008.12.018.

  61. J.T. Kvaløy, E.Skogvoll, T.Eftestøl, K.Gundersen, J.Kramer-Johansen, T.M. Olasveengen, and P.A. Steen, Which factors influence spontaneous state transitions during resuscitation? Resuscitation 2009, doi:10.1016/j.resuscitation.2009.04.042.

  62. T.M. Olasveengen, T.Eftestøl, K.Gundersen, L.Wik, and K.Sunde, Ischemic heart disease alters ventricular fibrillation waveform characteristics in out-ofhospital cardiac arrest , Resuscitation, 2009, doi:10.1016/j.resuscitation.2009.01.012.

  63. K.Gundersen, J.T. Kvaløy, J.Kramer-Johansen, P.A. Steen, and T.Eftestøl, Development of the probability of return of spontaneous circulation in intervals without chest compressions during out-of-hospital cardiac arrest: an observational study , BMC Medicine, 2009, vol.7, doi:10.1186/1741-7015-7-6.

  64. U.Irusta, J.Ruiz, S.Ruiz de Gauna, T.Eftestøl, and J.Kramer-Johansen, A least mean square filter for the estimation of the cardiopulmonary resuscitation artifact based on the frequency of the compressions , IEEE Transactions on Biomedical Engineering, 2009, doi:10.1109/TBME.2008.2010329.

  65. K.Gundersen, J.Nysæther, J.T.Kvaløy, J.Kramer-Johansen, and T.Eftestøl, Chest compression quality factors influencing the temporal development of ROSC-predictors calculated from the ECG during VF , Resuscitation, vol.80, pp.177-182, 2009.

  66. K.Gundersen, J.T. Kvaløy, J.Kramer-Johansen, T.M. Olasveengen, and T.Eftestøl, Using within-patient correlation of samples to improve the accuracy of shock outcome prediction for cardiac arrest , Resuscitation, vol.78, pp.46-51, 2008.

  67. K.Gundersen, J.T. Kvaløy, J.Kramer-Johansen, and T.Eftestøl, Identifying approaches to improve the accuracy of shock outcome prediction for out-of-hospital cardiac arrest , Resuscitation, vol.76, no.2, pp.279-284, 2008.

  68. E.Skogvoll, T.Eftestøl, K.Gundersen, J.T. Kvaløy, J.Kramer-Johansen, T.M. Olasveengen, and P.A. Steen, The dynamics of resuscitation during out-of-hospital cardiac arrest , Resuscitation, vol.78, pp.30-37, 2008.

  69. S.Ruiz de Gauna, J.Ruiz, U.Irusta, E.Aramendi, T.Eftestøl, and J.Kramer-Johansen, A method to remove CPR artefacts from human ECG using only the recorded ECG, Resuscitation, vol.276, no.2, pp.271-278, 2008.

  70. M.Risdal, S.O. Aase, Jo Kramer-Johansen and T.Eftestøl, Automatic identification of return of spontaneous circulation during cardiopulmonary resuscitation, IEEE Transactions on Biomedical Engineering, vol.55, pp.60-68, January 2008.

  71. A.Neurauter, T.Eftestøl, J.Kramer-Johansen, B.S. Abella, W.Wenzel, K.H. Lindner, J.Eilevstjønn, H.Myklebust, P.A. Steen, F.Sterz, B.Jahn, and H.-U. Strohmenger, Improving countershock success prediction during cardiopulmonary resuscitation using ventricular fibrillation features from higher ECG frequency bands, Resuscitation, vol.79, pp.453-459, 2008.

  72. M.Risdal, S.O. Aase, M.Stavland, and T.Eftestøl, Impedance based ventilation detection during cardiopulmonary resuscitation, IEEE Transactions on Biomedical Engineering, vol.54, pp.2237-2245, December 2007.

  73. H.Losert, M.Risdal, F.Sterz, J.Nysæther, K.Köhler, T.Eftestøl, C.Wandaller, H.Myklebust, T.Uray, S.O. Aase, and A.N. Laggner, Thoracic-impedance changes measured via defibrillator pads can monitor signs of circulation, Resuscitation, vol.73, pp.221-228, May 2007.

  74. A.Neurauter, T.Eftestøl, J.Kramer-Johansen, B.S. Abella, K.Sunde, W.Wenzel, K.H. Lindner, H.Myklebust, J.Eilevstjønn, P.A. Steen, and H.-U. Strohmenger, Prediction of countershock success using single features from multiple ventricular fibrillation frequency bands and feature combinations using neural networks, Resuscitation, vol.73, pp.253-263, May 2007.

  75. A.Neurauter, J.Kramer-Johansen, J.Eilevstjønn, H.Myklebust, W.Wenzel, K.H. Lindner, T.Eftestøl, P.A. Steen, and H.-U. Strohmenger, Estimation of the duration of ventricular fibrillation using ECG single feature analysis, Resuscitation, vol.73, pp.246-253, May 2007.

  76. H.Losert, M.Risdal, F.Sterz, J.Nysæther, K.Köhler, T.Eftestøl, C.Wandaller, H.Myklebust, T.Uray, and A.N. Laggner, Thoracic impedance changes measured via defibrillator pads can monitor ventilation in critical ill patients and during cardiopulmonary resuscitation, Critical Care Medicine, vol.34, no.9, pp.2399--2405, 2006.

  77. T.Eftestøl, M.Risdal, J.Eilevstjønn, and P.A. Steen, Advanced life support therapy on out-of-hospital cardiac arrest patients: Applying signal processing and pattern recognition methods (review), Modelling, Identification and Control, vol.26, no.4, pp.221--235, 2005.

  78. T.Eftestøl, H.Losert, J.Kramer-Johansen, L.Wik, F.Sterz, and P.A. Steen, Independent evaluation of a defibrillation outcome predictor for out-of-hospital cardiac arrested patients, Resuscitation, vol.67, pp.55--60, October 2005.

  79. J.Eilevstjønn, J.Kramer-Johansen, T.Eftestøl, M.Stavland, H.Myklebust, and P.A. Steen, Reducing no flow times during automated external defibrillation, Resuscitation, vol.67, pp.93--99, October 2005.

  80. Z.Yang, Z.Yang, W.Lu, R.G. Harrison, T.Eftestøl, and P.A. Steen, Probabilistic neural network as the predictive classifier of out-of-hospital defibrillation outcomes, Resuscitation, vol.64, pp.31--36, 2005.

  81. T.Eftestøl, L.Wik, K.Sunde, and P.A. Steen, Effects of cardiopulmonary resuscitation on predictors of ventricular fibrillation defibrillation success during out-of-hospital cardiac arrest, Circulation, vol.110, pp.10--15, July 2004.

  82. J.Eilevstjønn, T.Eftestøl, S.O. Aase, H.Myklebust, J.H. Husøy, and P.A. Steen, Feasibility of shock advice analysis during cpr through removal of cpr artefacts from human ecg, Resuscitation, vol.2, pp.131--141, May 2004.

  83. J.N. Watson, N.Uchaipichat, P.S. Addison, G.R. Clegg, C.E. Robertson, T.Eftestøl, and P.A. Steen, Improved prediction of defibrillation success for out-of-hospital vf cardiac arrest using wavelet transform methods, Resuscitation, vol.63, no.3, pp.269--275, 2004.

  84. T.Eftestøl, J.Eilevstjønn, and P.A. Steen, Advanced life support therapy on out-of-hospital cardiac arrest patients: an engineering perspective (review), Expert Rev. Cardiovascular Ther., vol.1, pp.215--242, July 2003. 2003.

  85. T.Eftestøl, K.Sunde, and P.A. Steen, Effects of interrupting precordial compressions on the calculated probability of success defibrillationab during out-of-hospital cardiac arrest, Circulation, vol.105, pp.2270--2273, May 2002.

  86. J.H. Husøy, J.Eilevstjønn, T.Eftestøl, S.O. Aase, H.Myklebust, and P.A. Steen, Removal of cardiopulmonary resuscitation artifacts from human ECG using an efficient matching pursuit-like algorithm, IEEE Transactions on Biomedical Engineering, vol.49, pp.1287--1298, November 2002.

  87. H.-U. Strohmenger, T.Eftestøl, K.Sunde, W.Wenzel, M.Mair, K.H. Lindner, and P.A. Steen, Predictive value of ventricular fibrillationECG signal frequency and amplitude parameters in patients with out-of-hospital cardiac arrest, Anasthesia and Analgia, vol.93, pp.1428--33, 2001.

  88. M.Small, D.J. Yu, R.Clayton, T.Eftestøl, K.Sunde, P.A. Steen, and R.G. Harrison, Temporal evolution of nonlinear dynamics in ventricular arrythmia, International Journal of bifurcation and Chaos, vol.11, no.10, pp.2531--2548, 2001.

  89. T.Eftestøl, K.Sunde, S.O. Aase, J.H. Husøy, and P.A. Steen, "Probability of successful defibrillation" as a monitor during CPR in out-of-hospital cardiac arrested patients, Resuscitation, vol.48, pp.245--254, 2001.

  90. A.Langhelle, T.Eftestøl, H.Myklebust, M.Eriksen, B.T. Holten, and P.A. Steen, Reducing CPR artefacts in ventricular fibrillation in vitro, Resuscitation, vol.48, pp.279--291, 2001.

  91. T.Eftestøl, K.Sunde, S.O. Aase, J.H. Husøy, and P.A. Steen, Predicting outcome of defibrillation by spectral characterization and nonparametric classification of ventricular fibrillation in patients with out-of-hospital cardiac arrest, Circulation, vol.102, pp.1523--1529, September 2000.

  92. S.O. Aase, T.Eftestøl, J.H. Husøy, K.Sunde, and P.A. Steen, CPR artifact removal from human ECG using optimal multichannel filtering, IEEE Transactions on Biomedical Engineering, vol.47, pp.1440--1449, November 2000.

  93. K.Sunde, T.Eftestøl, C.Askenberg, and P.A. Steen, Quality assessment of defibrillation and advanced life support using data from the medical control module of the defibrillator, Resuscitation, vol.41, pp.237--247, 1999.

    Book chapters

  94. T.Eftestøl, H.-U. Strohmenger, and C.Robertson, Analysis and predictive value of the ventricular fibrillation waveform, in Cardiac Arrest: The Science and Practice of Resuscitation Medicine. 2nd edn., ed. Norman Paradis, Henry Halperin, Karl Kern, Volker Wenzel, Douglas Chamberlain. Published by Cambridge University Press. © Cambridge University Press, 2007. Published .

    Theses

  95. T.Eftestøl, Signal analysis of out-of-hospital cardiac arrest electrocardiograms for decision support during cardiopulmonary resuscitation , PhD thesis, Stavanger University College, Stavanger, Norway, September 2000.

  96. T.Eftestøl, Klassifikasjon av hjerterytmer i EKG signaler: Filterbankanalyse og signalmodellering (Classification of cardiac arrhythmias in ECG signals), Master's thesis, Rogaland University Center, 1994 (in Norwegian).

    Refereed conferences (full papers in proceedings)

  97. T. Eftestøl, M. A. Hognestad, S. A. Søndeland, A. B. Rad, E. Aramendi, L. Wik, and J. Kramer-Johansen, A convolutional neural network approach for interpreting cardiac rhythms from resuscitation of cardiac arrest patients, Computing in Cardiology, vol. 50, 2023

  98. N. Kanwal, T. Eftestøl, F. Khoraminia, T. C. Zuiverloon, and K. Engan, Vision transformers for small histological datasets learned through knowledge distillation , in Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 167-179, Springer, 2023.

  99. A. Fernandez-Quilez, L. Vidziunas, Ø. K. Thoresen, K. Oppedal, S. R. Kjosavik, and T. Eftestøl, Out-of-distribution multi-view auto-encoders for prostate cancer lesion detection , in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), pp. 1-5, IEEE, 2023.

  100. S. Fuster, F. Khoraminia, T. Eftestøl, T. C. Zuiverloon, and K. Engan, Active learning based domain adaptation for tissue segmentation of histopathological images , in 2023 31st European Signal Processing Conference (EUSIPCO), pp. 1045-1049, IEEE, 2023.

  101. A. Iza, A. Elola, I. Isasi, E. Aramendi, T. Eftestøl, J. Kramer-Johansen, L. Wik, et al., Adaptive filtering methods for {ECG} waveform restoration during cardiopulmonary resuscitation , in 2022 Computing in Cardiology (CinC), vol. 498, pp. 1-4, IEEE, 2022.

  102. A. Fernandez-Quilez, C. G. Andersen, T. Eftestøl, S. R. Kjosavik, and K. Oppedal, 3D masked modelling advances lesion classification in axial T2w prostate MRI ,Proceedings of the Northern Lights Deep Learning Workshop, DOI: 10.7557/18.6787, 2022.

  103. A. Fernandez-Quilez, H. Ullah, T. Eftestøl, S. R. Kjosavik, and K. Oppedal, One class to rule them all: detection and classification of prostate tumors presence in bi-parametric mri based on auto-encoders , in Medical Imaging 2022: Computer-Aided Diagnosis, vol. 12033, pp. 428-436, SPIE, 2022.

  104. A. Fernandez-Quilez, T. Eftestøl, S. R. Kjosavik, M. Goodwin, and K. Oppedal, Multi-planar T2w MRI for an improved prostate cancer lesion classification , in 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), pp. 1-5, IEEE, 2022.

  105. A. Fernandez-Quilez, T. Eftestøl, S. R. Kjosavik, and K. Oppedal, Learning to triage by learning to reconstruct: a generative self-supervised approach for prostate cancer based on axial T2w MRI , in Medical Imaging 2022: Computer-Aided Diagnosis, vol. 12033, pp. 460-466, SPIE, 2022.

  106. A. Fernandez-Quilez, T. Eftestøl, S. R. Kjosavik, M. Goodwin, and K. Oppedal, Contrasting axial T2w MRI for prostate cancer triage: A self-supervised learning approach , in 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), pp. 1-5, IEEE, 2022.

  107. A. Fernandez-Quilez, O. Parvez, T. Eftestøl, S. R. Kjosavik, and K. Oppedal, Improving prostate cancer triage with GAN-based synthetically generated prostate adc MRI , in Medical Imaging 2022: Computer-Aided Diagnosis, vol. 12033, pp. 422-427, SPIE, 2022.

  108. S. Fuster, T. Eftestøl, and K. Engan, Nested multiple instance learning with attention mechanisms , in 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 220-225, IEEE, 2022.

  109. S. Fuster, F. Khoraminia, U. Kiraz, N. Kanwal, V. Kvikstad, T. Eftestøl, T. C. Zuiverloon, E. A. Janssen, and K. Engan, Invasive cancerous area detection in non-muscle invasive bladder cancer whole slide images , in 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), pp. 1-5, IEEE, 2022.

  110. R. Wetteland, K. Engan, and T. Eftesol, Parameterized extraction of tiles in multilevel gigapixel images, in 2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA), pp. 78--83, IEEE, -- --2021.

  111. I. Isasi, E. Alonso, U. Irusta, E. Aramendi, M. Zabihi, A. B. Rad, T. Eftestøl, J. Kramer-Johansen, and L. Wik, A machine learning-based pulse detection algorithm for use during cardiopulmonary resuscitation, in 2021 Computing in Cardiology (CinC), vol. 48, pp. 1--4, IEEE, 2021.

  112. T. Eftestøl, S. E. Stokka, J. T. Kvaløy, A. B. Rad, U. Irusta, E. Aramendi, E. Alonso, T. Nordseth, E. Skogvoll, L. Wik, and J. Kramer-Johansen, A probabilistic function to model the relationship between quality of chest compressions and the physiological response for patients in cardiac arrest, Computing in Cardiology, vol. 47, 2020

  113. H. Lasa, U. Irusta, T. Eftestol, E. Aramendi, A. B. Rad, J. Kramer-Johansen, and L. Wik, Multimodal biosignal analysis algorithm for the classification of cardiac rhythms during resuscitation , Computing in Cardiology, vol. 47, 2020.

  114. R. Wetteland, K. Engan, T. Eftestøl, V. Kvikstad, and E. A. Janssen, Multiscale deep neural networks for multiclass tissue classification of histological whole-slide images, in Proceedings of Machine Laearning Research, 2019.

  115. R. Wetteland, K. Engan, T. Eftestøl, V. Kvikstad, and E. A. Janssen, Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks, 8th International Conference on Pattern Recognition Applications and Methods, 2019..

  116. K. Le, T. Eftestøl, K. Engan, Ø. Kleiven, and S. Ørn, Baseline wander removal and isoelectric correction in electrocardiograms using clustering, in ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1274-1278, IEEE, 2019.

  117. I. Isasi, U. Irusta, A. Elola, E. Aramendi, T. Eftestøl, J. Kramer-Johansen, and L. Wik, A robust machine learning architecture for a reliable ecg rhythm analysis during cpr, in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1903--1907, IEEE, 2019.

  118. J. Urdal, K. Engan, T. Eftestøl, L. B. Yarrot, H. Kidanto, and H. Ersdal, Noise and contraction detection using fetal heart rate and accelerometer signals during labour, in SHI 2019. Proceedings of the 17th Scandinavian Conference on Health Informatics, November 12-13, 2019, Oslo, Norway, no. 161 in -, pp. 121--126, Linköping University Electronic Press, 2019.

  119. K. Le, T. Eftestøl, K. Engan, Ø. Kleiven, and S. Ørn, Validation of baseline wander removal and isoelectric correction in electrocardiograms using clustering, in 2019 27th European Signal Processing Conference (EUSIPCO), pp. 1--5, IEEE, 2019.

  120. K. Le, T. Eftestøl, K. Engan, Ø. Kleiven, and S. Ørn, Invariant mean electrical axis in electrocardiogram, in 2018 Computing in Cardiology Conference (CinC), vol. 45, pp. 1-4, IEEE, 2018.

  121. K. Le, T. Eftestøl, K. Engan, S. Ørn, and Ø. Kleiven, High frequency noise detection and handling in ECG signals, in 2018 26th European Signal Processing Conference (EUSIPCO), pp. 46-50, IEEE, 2018.

  122. D. Dlugosz, A. Królak, T. Eftestøl, S. Ørn, T. Wiktorski, K. R. J. Oskal, and M. Nygård, ECG signal analysis for troponin level assessment and coronary artery disease detection: The NEEDED study 2014, in 2018 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1065-1068, IEEE, 2018.

  123. I. Isasi, A. B. Rad, U. Irusta, M. Zabihi, E. Aramendi, T. Eftestøl, J. Kramer-Johansen, and L. Wik, ECG rhythm analysis during manual chest compressions using an artefact removal filter and random forest classifiers, Computing in Cardiology, vol. 45, pp. 1-4, 2018

  124. I. Isasi, U. Irusta, E. Aramendi, U. Ayala, E. Alonso, J. Kramer-Johansen, and T. Eftestøl, An accurate shock advise algorithm for use during piston-driven chest compressions, in {\em 2018 Computing in Cardiology Conference (CinC), vol. 45, pp. 1-4, IEEE, 2018.

  125. Ø. Meinich-Bache, K. Engan, T. Eftestøl, and I. Austvoll, Kinect modelling of chest compressions - a feasibility study for chest compression depth measurement using digital strategies, Proceedings of IEEE international conference on image processing 2018, pp. 913-917, 2018.

  126. M. Khanmohammadi, K. Engan, T. Eftestøl, C. Sæland, A. Larsen, Segmentation of coronary arteries from x-ray angiography sequences during contrast fluid propagation by image registration, in 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 715-719, IEEE, 2017.

  127. D. Dlugosz, A. Królak, T. C. Eftestøl, S. Ørn, T. Wiktorski, The north sea bicycle race ECG project: Time-domain analysis, in Computer Science and Information Systems (FedCSIS), 2017 Federated Conference on, pp. 1353-1353, IEEE, 2017.

  128. I. Isasi, U. Irusta, E. Aramendi, U. Ayala, E. Alonso, J. Kramer-Johansen, and T. Eftestøl, Removing piston-driven mechanical chest compression artefacts from the ECG, Computing in Cardiology, vol. 44, 2017.

  129. J. Urdal, K. Engan, T. Eftestøl, H. Kidanto, L. B. Yarrot, J. Eilevstjønn, and H. Ersdal, Signal processing and classification for identification of clinically important parameters during neonatal resuscitation, Signal and Image Processing Applications (ICSIPA), 2017 IEEE International Conference on, pp. 547-552, IEEE, 2017.

  130. Ø. Meinich-Bache, K. Engan, T. Eftestøl, and I. Austvoll, Detecting chest compression depth using a smartphone camera and motion segmentation, Scandinavian Conference on Image Analysis, pp. 53-64, Springer

  131. H. Vu, K. Engan, T. Eftestøl, A. Katsaggelos, S. Jatosh, S.Kusulla, E. Mduma, H. Ersdal Detection of Activities during Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal, International Conference on Image and Signal Processing (pp. 262-270). Springer International Publishing.

  132. T. Eftestøl, E. Singsaas, K. Engan, L. Woie, S. Ørn. Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction . Computing in Cardiology 2015 ;Volum 42.

  133. K. Engan, V. Naranjo, T. Eftestøl, S. Ørn, and L. Woie. Segmentation of LG Enhanced Cardiac MRI , In Proceedings of the International Conference on Bioimaging, 47-55, 2015, Lisbon, Portugal.

  134. H. Vu, T. Eftestøl, K. Engan, J. Eilevstjønn, J. Linde, and Hege Ersdal. Exploratory Analysis of Ventilation Signals from Resuscitation Data of Newborns, In Proceedings of the International Conference on Bioimaging, 12-20, 2015, Lisbon, Portugal.

  135. Ayala, Unai; Irusta, Unai; Ruiz, Jesús; Alonso-Atienza, Felipe; Alonso, Erik; González-Otero, Digna; Kramer-Johansen, Jo; Naas, Henning; Eftestøl, Trygve. Filtering Chest Compression Artifacts Improves the Performance of VF-detection Parameters. Computing in Cardiology 2014

  136. T. Eftestøl, F. Måløy, K. Engan, L. Kotu, L. Woie, and S. Ørn. A Texture-based Probability Mapping for Localisation of Clinically Important Cardiac Segments in the Myocardium in Cardiac Magnetic Resonance Images from Myocardial Infarction Patients , Proceedings of IEEE international conference on image processing 2014

  137. Engan, Kjersti; Woie, Leik; Eftestøl, Trygve. Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images . Computing in Cardiology 2014 ;Volum 41.

  138. Huyen, Vu; Eftestøl, Trygve; Engan, Kjersti; Eilevstjønn, Joar; Linde, Jørgen Erland; Ersdal, Hege. Exploratory Analysis of Heart Rate Changes in Newborns to Investigate the Effectiveness of Bag-Mask Ventilation . Computing in Cardiology 2014

  139. A. Bahrami Rad, T. Eftestøl, J.T. Kvaløy, U. Ayala, J. Kramer-Johansen, and K. Engan Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation , in IEEE International Conference om Acoustic, Speech and Signal Processing (ICASSP) Proceedings 2014, Florence, Italy, May 2014.

  140. A. Bahrami Rad, T. Eftestøl, J.T. Kvaløy, U. Ayala, J. Kramer-Johansen, and K. Engan Probabilistic classification approaches for cardiac arrest rhythm interpretation during resuscitation , in IEEE Computing in Cardiology Conference Proceedings 2013, (Zaragoza, Spain), September 2013.

  141. K. Engan, V. Naranjo, T. Eftestøl, L. Woie, A. Schuchter, and S. Ørn Automatic Detection of Heart Center in Late Gadolinium Enhanced MRI , in MEDICON Proceedings 2013, (Sevilla, Spain), September 2013.

  142. D. Gonzaléz-Otero, E. Alonso, J. Ruiz, E. Aramendi, S. Ruiz de Gauna, J. Kramer-Johansen, and T. Eftestøl A simple impedance-based method for ventilation detection during cardiopulmonary resuscitation , in IEEE Computing in Cardiology Conference Proceedings 2013, (Zaragoza, Spain), September 2013.

  143. U. Ayala, U. Irusta, J. Ruiz, D. Gonzaléz-Otero, E. Alonso, J. Kramer-Johansen, and T. Eftestøl A new rhythm analysis algorithm for chest compression intervals: Effect on cardiopulmonary resuscitation delivery , in IEEE Computing in Cardiology Conference Proceedings 2013, (Zaragoza, Spain), September 2013.

  144. F. Måløy, L. Woie, T. Eftestøl, K. Engan, and S. Ørn Measuring the degree of fibrosity in myocardial scars from LGE-CMR images , in IEEE Computing in Cardiology Conference Proceedings 2013, (Zaragoza, Spain), September 2013.

  145. K. Engan, V. Naranjo, T. Eftestøl, S. Ørn, and L. Woie Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images , in IEEE Computing in Cardiology Conference Proceedings 2013, (Zaragoza, Spain), September 2013.

  146. T. Eftestøl, J.T. Kvaløy, D.W.T. Nilsen, and L. Woie, Analysis of intracardiac electrogram changes ,in IEEE Computing in Cardiology Conference Proceedings 2012, (Krakow, Poland), September 2012.

  147. T. Eftestøl, L. Woie, K.Engan, J.T. Kvaløy, D.W.T. Nilsen, and S. Ørn, Texture analysis to assess risk of serious arrhythmias after myocardial infarction , in IEEE Computing in Cardiology Conference Proceedings 2012, (Krakow, Poland), September 2012.

  148. L.P. Kotu, K.Engan, T.Eftestøl, S.Ørn, L.Woie, and A.Katsaggelos, Local binary patterns used on cardiac MRI to classify high and low risk patient groups , in Proc. EUSIPCO 2012, (Bucharest, Romania), August 2012.

  149. K. Oppedal, K. Engan, D. Aarsland, M. Beyer, O.-B. Tysnes, and T. Eftestøl, Using local binary pattern to classify dementia in MRI , in Proc. ISBI 2012, (Barcelona, Spain), May 2012.

  150. L.P. Kotu, K. Engan, T. Eftestøl, Stein Ørn, and L. Woie, Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis , in Proc. EMBS '12, vol.36, (Boston, MA, USA), September 2011.

  151. L.P. Kotu, K. Engan, T. Eftestøl, Stein Ørn, and L. Woie, Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries, Image Processing (ICIP), 2011 18th IEEE International Conference on , vol., no., pp.65-68, 11-14 Sept. 2011 doi: 10.1109/ICIP.2011.6116638

  152. U. Ayala, J. Eilevstjønn, U.Irusta, T.Eftestøl, E. Alonso, and D. Gonzalez, Are dual-channel methods as accurate as multi-channel methods to suppress the CPR artifact? , in IEEE Computers in Cardiology Conference Proceedings 2011, (Hangzhou, China), September 2011.

  153. K. Engan, T. Eftestøl, Stein Ørn, J.T. Kvaløy, and L. Woie, Exploratory data analysis of image texture and statistical features on myocardium and infarction areas in cardiac magnetic resonance images, in Proc. EMBS '10, vol.36, (Buenos Aires, Argentina), September 2010.

  154. T.Eftestøl, Controlling true positive rate in ROC analysis, in IEEE Computers in Cardiology Conference Proceedings 2009, (Park City, Utah, USA), September 2009.

  155. K.A.H. Thorsen, T. Eftestøl, C. Rong, and P.A. Steen, An integrated information sharing structure for resuscitation data, in 2009 International Conference on Advanced Information Networking and Applications Workshops, 2009.

  156. T. Kjosmoen, T. Ryen, and T.Eftestøl, Exploring the combinatorics of motif alignments for accurately computing E-values from p-values , in International meeting on computational intelligence for bioinformatics and biostatistics IIASS, (Rome, Italy), April 2009.

  157. Ø. Johansen, T. Ryen, T. Eftestøl, T. Kjosmoen, and P. Ruoff, Splice site prediction using artificial neural networks , in Internatiopnal meeting on computational intelligence for bioinformatics and biostatistics IIASS, (Vietri sul Mare, Salerno, Italy), october 2008.

  158. I.Dragsund, K.Gundersen, M.Risdal, J.Kramer-Johansen, B.Abella, D.Edelson, F.Sterz, and T.Eftestøl, Analysing the dynamics of pulseless electrical activity during cardiopulmonary resuscitation, in IEEE Computers in Cardiology Conference Proceedings 2006, (Valencia, Spain), September 2006.

  159. T.Eftestøl, T.Ryen, S.O. Aase, C.Strassle, M.Boos, G.Schuster, and P.Ruoff, Eukaryotic gene prediction by spectral analysis and pattern recognition techniques, in NORSIG-2006 Proceeedings, (Reykjavik, Iceland), June 2006.

  160. T.Eftestøl, E.Skogvoll, K.Gundersen, J.T. Kvaløy, J.Kramer-Johansen, and P.A. Steen, Information structuring and symbolic representation for analysis of resuscitation data, in NORSIG-2006 Proceedings, (Reykjavik, Iceland), June 2006.

  161. M.Risdal, H.Losert, F.Sterz, S.O. Aase, and T.Eftestøl, Using thoracic impedance for identification of return of spontaneous circulation during resuscitation, in NORSIG-2006 Proceedings, (Reykjavik, Iceland), June 2006.

  162. N.Uchaipichat, P.S. Addison, J.N. Watson, G.R. Clegg, C.E. Robertson, P.A. Steen, and T.Eftestøl, The effect of wavelet central frequency on defibrillator shock outcome prediction, in 12th International Conference on Biomedical Engineering, (Singapore), December 2005.

  163. M.Risdal, T.Sleveland, P.A. Steen, J.Kramer-Johansen, L.Wik, F.Sterz, H.Losert, T.Eftestøl and S.O. Aase, Improving rhythm classification using electrocardiogram and thorax impedance recorded by automated external defibrillators, in NORSIG-2005 Proceedings, (Stavanger, Norway), September 2005. (preprint)

  164. M.Risdal, T.Eftestøl, and S.O. Aase, Arbitrary feature space dimensionality reduction with minimal loss of discrimination for two-class problems, in NORSIG-2005 Proceedings, (Stavanger, Norway), September 2005. (preprint)

  165. M.Risdal, H.Losert, J.Nysæther, T.Eftestøl, F.Sterz, and S.O. Aase, Examining the potential of using thorax impedance measured by automated external defibrillators for quantification of circulation, in IEEE Computers in Cardiology Conference Proceedings 2005, (Lyon, France), September 2005.

  166. M.Risdal, H.Losert, J.Nysæther, S.O. Aase, F.Sterz, and T.Eftestøl, Non-invasive ventilation monitoring during cardiopulmonaryresuscitation by means of thoracic impedance, in Proceedings of 3rd Eurpean Medical & Biological Engineering Conference, 2005.

  167. M.Risdal, H.Losert, J.Nysæther, S.O. Aase, F.Sterz, and T.Eftestøl, Ventilation classification for cardiopulmonary resuscitation quality monitoring using thoracic impedance, in Proceedings of 3rd Eurpean Medical & Biological Engineering Conference, 2005.

  168. M.Risdal, M.Stavland, S.O. Aase, and T.Eftestøl, Impedance-based ventilation detection during cardiopulmonary resuscitation using a neural network, in Proceedings of 3rd Eurpean Medical & Biological Engineering Conference, 2005.

  169. N.Uchaipichat, P.S. Addison, G.R. Clegg, C.E. Robertson, T.Eftestøl, P.A. Steen, and J.N. Watson, Wavelet transform-based methods to assess pre-shock probability of successful defibrillation in patients with ventricular fibrillation, in IEEE EMBS Student Conference, (Birmingham), July 2003.

  170. J.Eilevstjønn, J.H. Husøy, T.Eftestøl, S.O. Aase, and P.A. Steen, Multichannel adaptive filtering using an efficient matching pursuit-like algorithm for removal of CPR artifacts in ECG signals, in Proc. IEEE Int. Conf. Acoust., Speech, Signal Proc., vol.IV, (Orlando, Florida), pp.3864-3867, 2002.

  171. P.S. Addison, N.Uchaipichat, J.N. Watson, G.R. Clegg, C.E. Robertson, P.A. Steen, and T.Eftestøl, Positional depedence of time-frequency information in the electrocardiograph used for the prediction of successful defibrillation, in 2nd European Medical and Biological Engineering Conference, (Vienna, Austria), December 2002. (preprint)

  172. N.Uchaipichat, J.N. Watson, P.S. Addison, G.R. Clegg, C.E. Robertson, P.A. Steen, and T.Eftestøl, Optimal pre-shock signal length for time-frequency classification used in the predicition of successful defibrillation, in ICBME Conference, (Singapore), December 2002. (preprint)

  173. N.Uchaipichat, P.S. Addison, J.N. Watson, G.R. Clegg, C.E. Robertson, P.A. Steen, and T.Eftestøl, Wavelet power spectrum analysis of cardiac arrhythmias: Ventricular fibrillation, in The Engineering Institute of Thailand 24th Electrical Engineering Conference, (Bangkok, Thailand), November 2001. (preprint)

  174. P.S. Addison, N.Uchaipichat, J.N. Watson, G.R. Clegg, C.E. Robertson, P.A. Steen, and T.Eftestøl, Wavelet power spectrum-based prediction of successful defibrillation from ventricular fibrillation, in Proceedings EMBS, (Istanbul, Turkey), pp.25-28, October 2001.

  175. T.Eftestøl, S.O. Aase, and J.H. Husøy, Spectral characterisation of ECG in out-of-hospital cardiac arrest patients, in Proc. Computers in Cardiology '99, vol.26, (Hannover, Germany), pp.707-710, September 1999.

  176. T.Eftestøl and E.Vatland, A method for detection of signal harmonics in the spectrum, in Proc. Computers in Cardiology '99, vol.26, (Hannover, Germany), pp.547-550, September 1999.

  177. T.Eftestøl, S.O. Aase, and J.H. Husøy, Spectral flatness measure for characterising changes in cardiac arrhythmias, in Proc. NOBIM '98, (Oslo, Norway), June 1998. (preprint)

  178. T.Eftestøl, S.O. Aase, and J.H. Husøy, A flexible pattern recognition system for analysis of ECG and related demographics and annotations, in Proc. EMBS '98, vol.20, (Hong Kong), pp.135-138, October 1998.

  179. T.Eftestøl, S.O. Aase, and J.H. Husøy, Characterisation of changes in cardiac arrhythmias using spectral parameters, in Proc. NORSIG '97, (Tromsø, Norway), pp.129-133, May 1997.

  180. G.E. øien, N.A. Bertelsen, T.Eftestøl, and J.H. Husøy, ECG rhythm classification using artificial neural networks, September 1996. Proc. IEEE DSP Workshop, Loen, Norway.

  181. D.E. Kristiansen, J.H. Husøy, and T.Eftestøl, Rhythm detection in ECG signals, September 1995. Proc. NORSIG-95, Stavanger, Norway. (preprint)

    Refereed conferences (abstracts in journals)

  182. A. Norvik, G. W. Skjeflo, E. Unneland, D. Bergum, D. Buckler, A. Bhardwaj, T. Eftestøl, E. Aramendi, T. Nordseth, B. Abella, et al., Heart rate and QRS duration predict immediate outcome in pulseless electrical activity (PEA) during in-hospital cardiac arrest (IHCA) , Circulation, vol. 146, no. Suppl\_1, pp. A250-A250, 2022.

  183. S. N. Larsen, K. Oppedal, T. Eftestøl, D. Ferreira, A. W. Lemstra, M. t. Kate, A. Padovani, I. Rektorova, L. Bonanni, F. M. Nobili, et al., Data-assisted differential diagnosis of dementia by deep neural networks using mri: A study from the european dlb consortium: Neuroimaging/differential diagnosis , Alzheimer's & Dementia, vol. 16, p. e043593, 2020.

  184. E. Alonso, T. Eftestøl, E. Aramendi, J. Kramer-Johansen Monitoring the probability of desired rhythm transition during resuscitation , Resuscitation, Volume 85, Supplement 1, May 2014, Page S33

  185. U. Ayala, U. Irusta, J. Kramer-Johansen, D. Gonzalez-Otero, S. Ruiz de Gauna, J. Ruiz, E. Alonso, T. Eftestøl Automatic detection of chest compression pauses for rhythm analysis during 30:2 CPR in an ALS scenario , Resuscitation, Volume 85, Supplement 1, May 2014, Page S9

  186. U. Ayala, E. Aramandi, U. Irusta, E. Alonso, D. Gonzalez-Otero, T. Eftestøl, J. Kramer-Johansen, A.I. Bodegas Recommendations of the American Heart Association on the rhythm library specifications for the development of shock advice algorithms: Do they reflect the real scenario? , Resuscitation, Volume 83, Supplement 1, October 2012, Page e66-e67

  187. S. Ruiz de Gauna, D. Gonzalez-Otero, J. Ruiz, U. Ayala, E. Alonso, T. Eftestøl, J. Kramer-Johansen Is rhythm analysis during chest compression pauses for ventilation feasible? , Resuscitation, Volume 83, Supplement 1, October 2012, Page e8

  188. T. Nordseth, D.P. Edelson, D. Bergum, T.M. Olasveengen, T. Eftestøl, B. Abella, E. Skogvoll, Optimal CPR Loop Duration for Asystole and PEA during In-Hospital Cardiac Arrest. Resuscitation Science Symposium; 2011-11-12 - 2011-11-13

  189. T. Nordseth, D.P. Edelson, D. Bergum, T.M. Olasveengen, T. Eftestøl, B. Abella, E. Skogvoll, Prevalence and Development of Clinical States during In-Hospital Cardiac Arrest. Resuscitation Science Symposium; 2011-11-12 - 2011-11-13

  190. J.T. Kvaløy, E. Skogvoll, T. Eftestøl, K. Gundersen, J. Kramer-Johansen, T.M. Olasveengen, P.A. Steen, Analysing clinical state transitions during cardiopulmonary resuscitation. ISCB2010; 2010-08-29 - 2010-09-02

  191. T. Nordseth, D. Bergum, T. Eftestøl, T.M. Olasveengen, E. Skogvoll, Optimal CPR loop duration for asystole and pulseless electrical activity during in-hospital cardiac arrest. Resuscitation 2010; 2010-12-02 - 2010-12-04

  192. T. Nordseth, D. Bergum, T. Eftestøl, T.M. Olasveengen, E. Skogvoll, The dynamics of in-hospital cardiac arrest. Resuscitation 2010; 2010-12-02 - 2010-12-04

  193. D.M. Pampanin, E. Ravagnan, S. Apeland, N. Aarab, B.F. Godal, S. Westerlund, D.Ø. Hjermann, T. Eftestøl, M. Budka, B. Gabrys, A. Viarengo, J. Barsiene, The marine environment IQ concept Developing an index of the quality of the marine environment based on biomarkers: Integration of pollutant effects on marine organisms. Comparative Biochemistry and Physiology A 2010 ;Volum 157.(1) s. S52-S52

  194. E. Skogvoll, J.T. Kvaløy, J. Kramer-Johansen,T.M. Olasveengen, K. Gundersen, T. Eftestøl, and P.A. Steen, Optimal loop duration in asystole and pulseless electrical activity in out-of-hospital cardiac arrest. Resuscitation 2010 ;Volum 81.(2) Suppl. 1 s. S2-S2

  195. L. Woie, T. Eftestøl, K. Engan, J.T. Kvaløy, D. Nilsen, and S. Ørn Use of late gadolinium enhancement cardiovascular magnetic resonance images and texture analyses to distinguish patients with high and low risk of arrhythmias after myocardial infarction. Congress, European Society of Cardiology (ESC); 2010-08-28 - 2010-09-01

  196. L. Woie, T. Eftestøl, J.T. Kvaløy, T. Aarsland, K. Tjelta, and D. Nilsen, Intracardiac electrocardiographic (egm) morphology changes in patients with implantable cardioverter defibrillator (icd),'' in World Congress of Cardiology, vol.118, p.e238, May 2008, Abstract.

  197. K.Gundersen, J.T. Kvaløy, J.Kramer-Johansen, T.M. Olasveengen, and T.Eftestøl, The effect of using within-patient correlation to improve shock outcome prediction, in Resuscitation, Ninth Congress of the European Resuscitation Council, ERC, Ghent, Belgium, May 2008, Abstract.

  198. K.Gundersen, J.T. Kvaløy, J.Kramer-Johansen, P.A. Steen, and T.Eftestøl, Using ECG-analysis to quantify the effect of increasing pre-shock pauses in chest compressions on the probability of ROSC, in Resuscitation, Ninth Congress of the European Resuscitation Council, ERC, Ghent, Belgium, May 2008, Abstract.

  199. T.M. Olasveengen, T.Eftestøl, K.Gundersen, P.A. Steen, L. Wik, and K. Sunde, Ventricular fibrillation characteristics are different in patients with coronary heart disease compared to patients with primary arrhythmia, Ninth Congress of the European Resuscitation Council, ERC, Ghent, Belgium, May 2008, Abstract.

  200. J.T. Kvaløy, E. Skogvoll, T. Eftestøl, K. Gundersen, J.Kramer-Johansen, T.M. Olasveengen, and P.A. Steen, Identifying factors influencing clinical state transitions in cardiac arrest resuscitation, in Resuscitation, Ninth Congress of the European Resuscitation Council, ERC, Ghent, Belgium, May 2008, Abstract.

  201. K.Gundersen, J.T. Kvaløy, T.Eftestøl, P.A. Steen, J.Kramer-Johansen, L.Wik, F.Sterz, H.Losert, and S.O. Aase, Improved shock outcome prediction from a random model, in Resuscitation, Eigth Congress of the European Resuscitation Council, ERC, Stavanger, Norway, vol.6, p.128, May 2006. Abstract.

  202. K.Gundersen, J.T. Kvaløy, T.Eftestøl, P.A. Steen, J.Kramer-Johansen, L.Wik, F.Sterz, H.Losert, and S.O. Aase, Random effects in shock outcome prediction, in Resuscitation, Eigth Congress of the European Resuscitation Council, ERC, Stavanger, Norway, vol.6, pp.72-73, 2006. Abstract.

  203. E.Skogvoll, T.Eftestøl, K.Gundersen, J.T. Kvaløy, J.Kramer-Johansen, and P.A. Steen, The dynamics of cardiac arrest - clinical state transitions during CPR, in Resuscitation, Eigth Congress of the European Resuscitation Council, ERC, Stavanger, Norway, vol.6, p.78, May 2006. Abstract.

  204. J.T. Kvaløy, T.Eftestøl, K.Gundersen, E.Skogvoll, J.Kramer-Johansen, and P.A. Steen, Analysis of factors influencing clinical state transitions in cardiac arrest, in Resuscitation, Eigth Congress of the European Resuscitation Council, ERC, Stavanger, Norway, vol.6, p.129, May 2006. Abstract.

  205. M.Risdal, P.A. Steen, J.Kramer-Johansen, L.Wik, F.Sterz, H.Losert, S.O. Aase, and T.Eftestøl, Discriminating between PEA and pulse circulating rhythm using ECG, in Resuscitation, Eigth Congress of the European Resuscitation Council, ERC, Stavanger, Norway, vol.6, p.46, May 2006. Abstract.

  206. A.Neurauter, T.Eftestøl, J.Kramer-Johansen, V.Wenzel, K.Lindner, J.Eilevstjønn, H.Myklebust, P.Steen, and H.Strohmenger, Prediction of countershock success employing single feature analysis from ventricular fibrillation power bands or feature combination using neural networks, in Resuscitation, Eigth Congress of the European Resuscitation Council, ERC, Stavanger, Norway, vol.6, pp.51-52, May 2006. Abstract.

  207. T.Eftestøl, L.Wik, K.Sunde, and P.A. Steen, CPR causes changes in predictors of vf defibrillation success during out-of-hospital cardiac arrest, in Resuscitation, Seventh Congress of the European Resuscitation Council, ERC, Budapest, Hungary, vol.62, p.364, September 2004. Abstract.

  208. J.Eilevstjønn, T.Eftestøl, J.Kramer-Johansen, and P.A. Steen, Reducing the no flow time in automated external defibrillation, in Resuscitation, Seventh Congress of the European Resuscitation Council, ERC, Budapest, Hungary, vol.62, p.362, September 2004. Abstract.

  209. J.N. Watson, N.Uchaipichat, P.S. Addison, G.R. Clegg, C.E. Robertson, T.Eftestøl, and P.A. Steen, Novel wavelet transform methods predict defibrillation success for out-of-hospital cardiac arrest, in Resuscitation, Seventh Congress of the European Resuscitation Council, ERC, Budapest, Hungary, vol.62, p.358, September 2004. Abstract.

  210. J.Eilevstjønn, T.Eftestøl, and P.A. Steen, Reducing the hands-off interval by filtering CPR artefacts in ECG, in HLR 2003 Conference (Scand J Trauma Emerg Med), vol.11, (Stavanger, Norway), September 2003.

  211. T.Eftestøl, K.Sunde, and P.A. Steen, The effects of interrupting precordial compressions on the calculated probability of defibrillation success in out-of-hospital cardiac arrest patients, in Resuscitation, Sixth Congress of the European Resuscitation Council, ERC, Florence, Italy, vol.55, p.102, October 2002. Abstract.

  212. T.Eftestøl, K.Sunde, S.O. Aase, J.H. Husøy, and P.A. Steen, Monitoring the "probability of successful defibrillation" during cpr in out-of-hospital cardiac arrested patients, Circulation, vol.102, pp.II-828, 2000. Abstract.

  213. T.Eftestøl, K.Sunde, S.O. Aase, J.H. Husøy, and P.A. Steen, Predicting defibrillation outcome from VF-characteristics in out-of hospital cardiac arrest, Resuscitation, vol.45, p.41, 2000. Abstract.

  214. K.Sunde, T.Eftestøl, and P.A. Steen, Survival rate depends on place of collapse in patients with out-of-hospital cardiac arrest in Oslo, Resuscitation, vol.45, p.37, 2000. Abstract.

  215. K.Sunde, T.Eftestøl, C.Askenberg, and P.A. Steen, Kvalitetsvurdering av avansert hjerte-lunge-redning i ambulansetjenesten i Oslo ved analysering av defibrillatorens datamodul, NAForum, vol.12, no.3, p.34, 1999. Abstract 27, in Norwegian.

  216. K.Sunde, T.Eftestøl, and P.A. Steen, Prehospital hjertestans - Resultater etter to aars Utstein-registrering ved ambulansetjenesten i Oslo, NAForum, vol.12, no.3, p.34, 1999. Abstract 28, in Norwegian.

    Invited speech

  217. T.Eftestøl, Signal processing and pattern recognition in resuscitation science, in Symposium on ECG signal processing, University of the Basque Country, Bilbao, Spain 2007, July 2007.

  218. T.Eftestøl, A research experience in bioengineering in Norway, in Symposium on ECG signal processing, University of the Basque Country, Bilbao, Spain 2007, July 2007.

  219. T.Eftestøl, Waveform analysis - the way to improve survival?, in Resuscitation, Eigth Congress of the European Resuscitation Council, ERC, Stavanger, Norway, 2006.

  220. T.Eftestøl, Signalbehandling og mønstergjenkjenning innen akuttmedisin (signal processing and pattern recognition in emergency medicine), in Industrisemninar 2005, Norsk forening for bildebehandling og mønstergjenkjenning, September 2005. Invited speech.

  221. T.Eftestøl, Signalbehandling i livredning (signal processing in life saving), in AApen fagdag, Høgskolen i Stavanger, November 2004. Invited speech.

  222. T.Eftestøl, Signalbehandling i akuttmedisin (signal processing in resuscitation medicine), in Forskningsdagene, Høgskolen i Stavanger, September 2004. Invited speech.

  223. T.Eftestøl, Livreddende signalbehandling (lifesaving signal processing), in Servomøtet 2004, Norsk forening for automatisering, Oktober 2004. Invited speech.

  224. T.Eftestøl, Livreddende signalbehandling (lifesaving signal processing), in Seminar ved Høgskolen i Stavanger, November 2003. Invited speech.

  225. T.Eftestøl, Ingeniører - kan de hjelpe oss? (engineers - can they help us?), in HLR 2003 conference, September 2003. Invited speech.

    Preprints

  226. V. Frøysa, G. J. Berg, E. Singsaas, T. Eftestøl, L. Woie, and S. Ørn, Texture-based probability mapping in cardiac lge images: A novel automatic assessment of myocardial injury following revascularized stemi , medRxiv, pp. 2023-09, 2023.

  227. A. Fernandez-Quilez, T. Nordstom, T. Eftestol, A. B. Alvestad, F. Jaderling, S. R. Kjosavik, and M. Eklund Revisiting prostate segmentation in magnetic resonance imaging (MRI): On model transferability, degradation and pi-rads adherence , medRxiv, pp. 2023-08, 2023.

  228. T. N. Lindeijer, T. M. Ytredal, T. Eftestøl, T. Nordström, F. Jäderling, M. Eklund, and A. Fernandez-Quilez, Leveraging multi-view data without annotations for prostate mri segmentation: A contrastive approach , arXiv preprint arXiv:2308.06477, 2023.

  229. E. S. Rolfsnes, P. Thangngat, T. Eftestøl, T. Nordstr{\"o}m, F. J{\"a}derling, M. Eklund, and A. Fernandez-Quilez, Reconsidering evaluation practices in modular systems: On the propagation of errors in mri prostate cancer detection , arXiv preprint arXiv:2309.08381, 2023.

  230. A. Fernandez-Quilez, T. Eftestøl, M. Goodwin, S. R. Kjosavik, and K. Oppedal, Self-transfer learning via patches: a prostate cancer triage approach based on bi-parametric MRI , arXiv preprint arXiv:2107.10806, 2021.