Publications

Journals (peer-reviewed)

1. R. Bellfield, I. Olier, R. Lotto, I.D. Jones, E. Dawson, G. Li, A.M. Tuladhar, G.Y.H. Lip, S. Ortega-Martorell. “AI-based derivation of atrial fibrillation phenotypes in the general and critical care populations”. THE LANCET eBioMedicine 2024, 107. DOI: 10.1016/j.ebiom.2024.105280                

2. A. Sante, A.S. Font, S. Ortega-Martorell, I. Olier, I.G. McCarthy. “Applying machine learning to Galactic Archaeology: how well can we recover the origin of stars in Milky Way-like galaxies?”. Monthly Notices of the Royal Astronomical Society Main Journal (MNRAS) 2024, stae1398. DOI: 10.1093/mnras/stae1398                

3. R. Bellfield, S. Ortega-Martorell, G.Y.H. Lip, D. Oxborough, I. Olier. “Impact of ECG data format on the performance of Machine Learning models for the prediction of Myocardial Infarction”. Journal of Echocardiography 2024. DOI: 10.1016/j.jelectrocard.2024.03.005                

4. R. Wang, Y. Liu, L. Thabane, I. Olier, L. Li, S. Ortega-Martorell, G.Y.H. Lip, G. Li. “Relationship between trajectories of dietary iron intake and risk of type 2 diabetes mellitus: evidence from a prospective cohort study”. Nutrition Journal 2024. 23, 15. DOI: 10.1186/s12937-024-00925-5                

5. S. Palermi, M. Vecchiato, A. Saglietto, D. Niederseer, D. Oxborough, S. Ortega-Martorell, I. Olier, S. Castelletti, A. Baggish, F. Maffessanti, A. Biffi, A. D’Andrea, A. Zorzi, E. Cavarretta, F. D’Ascenzi. “Unlocking the potential of Artificial Intelligence in Sports Cardiology: does it have a role in evaluating athlete’s heart?” European Journal of Preventive Cardiology 2024, zwae008, DOI: 10.1093/eurjpc/zwae008                

6. N. Aikodon, S. Ortega-Martorell, I. Olier. “Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning”. Algorithms 2024, 17(1), 6. DOI: 10.3390/a17010006                

7. K. Sumera, T. Ilczak, M. Bakkerud, J.D. Lane, J. Pallas, S. Ortega-Martorell, A. Sumera, C.A. Webster, T. Quinn, J. Sandars, N. Siriwardena. “CPR Quality Officer Role to Improve CPR Quality: A Multi-Centred International Simulation Randomised Control Trial”. Resuscitation Plus 2024, 17. DOI: 10.1016/j.resplu.2023.100537                .

8. G. Ungan, A. Pons-Escoda, D. Ulinic, C. Arus, S. Ortega-Martorell, I. Olier, A. Vellido, C. Majos-Torro, M. Julia-Sape. “Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous”. NMR in Biomedicine 2024, e5095. DOI: 10.1002/nbm.5095                .

9. S. Ortega-Martorell, R. Bellfield, S. Harrison, D. Dyke, N. Williams, I. Olier, “Mapping the global free expression landscape using machine learning”. SN Applied Sciences 2023. 5, 354. DOI: 10.1007/s42452-023-05554-x                

10. S. Ortega-Martorell, I. Olier, B.W. Johnston, I.D. Welters. "Sepsis-induced coagulopathy is associated with new episodes of atrial fibrillation in patients admitted to Critical Care in sinus rhythm". Frontiers in Medicine - Intensive Care Medicine and Anesthesiology 2023. DOI: 10.3389/fmed.2023.1230854                

11. S. Ortega-Martorell, I. Olier, O. Hernandez, P.D. Restrepo-Galvis, R.A.A Bellfield, A.P. Candiota. “Tracking Therapy Response in Glioblastoma Using 1D Convolutional Neural Networks”. Cancers 2023, 15(15):4002. DOI: 10.3390/cancers15154002                

12. R. Wang; H. Gerstein; H. Van Spall; G. Lip; I. Olier; S. Ortega-Martorell; L. Thabane; Z. Ye; G. Li. “Relationship between remnant cholesterol and risk of heart failure in participants with diabetes mellitus”. European Journal of Epidemiology 2023, 9(5):537-545. DOI: 10.1093/ehjqcco/qcad030                

13. B. Walters, S. Ortega-Martorell, I. Olier, P.J.G. Lisboa “How to open a black box classifier for tabular data”. Algorithms 2023, 16(4), 181. DOI: 10.3390/a16040181                

14. T. Heseltine; E. Hughes; J. Mattew; S. Murray; S. Ortega-Martorell; I. Olier; D. Dey; G. Lip; S. Khoo. "The association of epicardial adipose tissue volume and density with coronary calcium in HIV-positive and HIV-negative patients". Journal of Infection 2023.  DOI: 10.1016/j.jinf.2023.02.020                

15. M. Vinciguerra, I. Olier, S. Ortega-Martorell, G.Y.H. Lip. "New use for an old drug: Metformin and atrial fibrillation". Cell Reports Medicine 2022, 3(12), 100875. DOI: 10.1016/j.xcrm.2022.100875                

16. P.J.G. Lisboa, M. Jayabalan, S. Ortega-Martorell, I. Olier, D. Medved, J. Nilsson. “Enhanced survival prediction using explainable artificial intelligence in heart transplantation”. Scientific Reports 2022, 12, 19525. DOI: 10.1038/s41598-022-23817-2                

17. R. Bellfield, S. Ortega-Martorell, G.Y.H. Lip, D. Oxborough, I. Olier. “The athlete’s heart and machine learning: A review of current implementations and gaps for future research”. Journal of Cardiovascular Development and Disease 2022, 9:382. DOI: 10.3390/jcdd9110382                 

18. S. Zubaidi, N.S.S. Al-Bdairi, S. Ortega-Martorell, H.M. Ridha, N. Al-Ansari, H. Al-Bugharbee, K. Hashim, S.K. Gharghan. “Assessing the Benefits of Nature-Inspired Algorithms for the Parameterisation of ANN in the Prediction of Water Demand”. Journal of Water Resources Planning and Management 2022. DOI: 10.1061/(ASCE)WR.1943-5452.0001602                

19. S.J. Mohammed, S.L. Zubaidi, S. Ortega-Martorell, N. Al-Ansari, S. Ethaib, K. Hashim. “Application of Hybrid Machine Learning Models and Data Pre-Processing to Predict Water Level of Watersheds: Recent Trends and Future Perspective”. Cogent Engineering 2022. DOI: 10.1080/23311916.2022.2143051                

20. R. Wang; I. Oier; S. Ortega-Martorell; Y. Liu; Z. Ye; G.Y.H. Lip; G. Li “Association between metabolically healthy obesity and risk of atrial fibrillation: taking physical activity into consideration”. Cardiovascular Diabetology 2022, 21:208. DOI: 10.1186/s12933-022-01644-z                

21. M. Witham, R. Cooper, K.A. Bowden Davies, S. Ortega-Martorell, C.E. Stewart, A.A. Sayer. “Ageing Research Translation: a new era for UK Geroscience”. Nature Aging 2022. DOI: 10.1038/s43587-022-00288-8                .

22. S. Ortega-Martorell, P. Riley, I. Olier, R.G. Raidou, R. Casana-Eslava, M. Rea, L. Shen, P.J.G. Lisboa, C. Palmieri. “Breast Cancer Patient Characterisation and Visualisation Using Deep Learning and Fisher Information Networks”. Scientific Reports 2022, 12:14004. DOI: 10.1038/s41598-022-17894-6                .

23. M. Pieroni, I. Olier, S. Ortega-Martorell, B.W. Johnston, I.D. Welters. “In-hospital mortality of sepsis differs depending on the origin of infection: an investigation of predisposing factors”. Frontiers in Medicine – Intensive Care Medicine and Anesthesiology 2022. DOI: 10.3389/fmed.2022.915224                

24. Z.S. Khudhair, S.L. Zubaidi, S. Ortega-Martorell, N. Al-Ansari, S.E., K. Hashim. “A Review of Hybrid Soft Computing and Data Pre-Processing Techniques to Forecast Freshwater Quality’s Parameters: Current Trends and Future Directions”. Environments 2022, 9(7):85. DOI: 10.3390/environments9070085                

25. S. Ortega-Martorell, M. Pieroni, B.W. Johnston, I. Olier, I.D. Welters. “Development of a risk prediction model for new episodes of atrial fibrillation in medical-surgical critically ill patients using the AmsterdamUMCdb” Frontiers in Cardiovascular Medicine - Cardiac Rhythmology 2022. DOI: 10.3389/fcvm.2022.897709/full                

26. S. Givnan, C. Chalmers, P. Fergus, S. Ortega-Martorell, T. Whalley. “Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors”. Sensors 2022, 22(9): 3166. DOI: 10.3390/s22093166                

27. I. Olier, S. Ortega-Martorell, M. Pieroni, G.Y.H. Lip. “How machine learning is impacting research in atrial fibrillation: Implications for risk prediction and future management”. Cardiovascular Research 2021. cvab169. DOI: 10.1093/cvr/cvab169                 .

28. T. Heseltine, S. Murray, S. Ortega-Martorell, I. Olier, G.Y.H. Lip, S. Khoo. “Associations of Hepatosteatosis with Cardiovascular Disease in HIV Positive and HIV Negative Patients: The Liverpool HIV-Heart Project”. Journal of Acquired Immune Deficiency Syndromes (JAIDS) 2021. DOI: 10.1097/QAI.0000000000002721                 

29. R.V. Casana-Eslava, I.H. Jarman, S. Ortega-Martorell, P.J.G. Lisboa, J.D. Martin-Guerrero. “Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering”. Neural Computing and Applications 2021, 33:7521–7539. DOI: 10.1007/s00521-020-05499-x                

30. R.V. Casaña-Eslava; S. Ortega-Martorell; P.J. Lisboa; A.P. Candiota; M. Julià-Sapé; J.D. Martin-Guerrero; I.H. Jarman. “Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites”. PLOS ONE 2020, 15(7):e0235057 .

31. S.L. Zubaidi, S. Ortega-Martorell, H. Al-Bugharbee, I. Olier, K.S Hashim, S. K. Gharghan, P. Kot, R.M. Al Khaddar. “Urban Water Demand Prediction for a City that Suffers from Climate Change and Population Growth: Gauteng Province case study”. Water 2020, 12(7):1885.

32. S.L. Zubaidi, H. Al-Bugharbee, S. Ortega-Martorell, S.K. Gharghan, I Olier, K.S. Hashim, N.S.S. Al-Bdairi, P. Kot. “A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach”. Water 2020, 12 (6):1628.

33. R.V. Casana-Eslava, P.J.G. Lisboa, S. Ortega-Martorell, I.H. Jarman, J.D. Martin-Guerrero. “Probabilistic Quantum Clustering”. Knowledge-Based Systems 2020, 194:105567. DOI: 10.1016/j.knosys.2020.105567                 

34. S.L. Zubaidi, S. Ortega-Martorell, P. Kot, R.M. Alkhaddar, M. Abdellatif, S.K. Gharghan, M.S. Ahmed, K. Hashim. “A method for predicting long-term municipal water demands under climate change”. Water Resources Management 2020. DOI: 10.1007/s11269-020-02500-z                

35. S. Wu, P. Calero Pérez, L. Villamañan, N. Arias-Ramos, M. Pumarola Batlle, S. Ortega-Martorell, M. Julia-Sape, C. Arus, A.P. Candiota. “Anti-tumour immune response in GL261 glioblastoma generated by Temozolomide Immune-Enhancing Metronomic Schedule monitored with MRSI-based nosological images”. NMR in Biomedicine 2020, e4229. DOI: 10.1002/nbm.4229                .

36. Y. Hernández-Villegas, S. Ortega-Martorell, C. Arús, A. Vellido, M. Julià-Sapé. “Extraction of artefactual MRS patterns from a large database using non-negative matrix factorization”. NMR in Biomedicine 2019, e4193 . DOI: 10.1002/nbm.4193                .

37. S. Ortega-Martorell, A.P. Candiota, R. Thomson, P. Riley, M. Julia-Sape, I. Olier. “Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models”. PLOS ONE 2019, 14(8):e0220809. DOI: 10.1371/journal.pone.0220809                 

38. S.L. Zubaidi, J. Dooley, R.M. Alkhaddar, M. Abdellatif, H. Al-Bugharbee, S. Ortega-Martorell. “A Novel Approach for Predicting Monthly Water Demand by Combining Singular Spectrum Analysis with Neural Networks”. Journal of Hydrology 2018, 561:136-145. DOI: 10.1016/j.jhydrol.2018.03.047                

39. E. Jimenez-Xarrie, M. Davila, A.P. Candiota, R. Delgado-Mederos, S. Ortega-Martorell, M. Julia-Sape, C. Arus, J. Marti-Fabregas. “Brain metabolic pattern analysis using a magnetic resonance spectra classification software in experimental stroke”. BMC Neuroscience 2017, 18:13. DOI: 10.1186/s12868-016-0328-x                

40. T. Delgado-Goñi, S. Ortega-Martorell, M. Ciezka, I. Olier, A.P. Candiota, M. Julià-Sapé, F. Fernández, M. Pumarola, P.J.G. Lisboa, C. Arús. “MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis”. NMR in Biomedicine 2016. DOI: 10.1002/nbm.3521                .

41. V. Mocioiu, S. Ortega-Martorell, I. Olier, M. Jablonski, J. Starcukova, P.J.G. Lisboa, C. Arús, M. Julià-Sapé. “From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML”. BMC Bioinformatics 2015, 16:378. DOI: 10.1186/s12859-015-0796-5                

42. S. Ortega-Martorell; H. Ruiz; Alfredo Vellido; I. Olier; E. Romero; M. Julià-Sapé; J. D. Martín; I. H. Jarman; C. Arús; P.J.G. Lisboa. “A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data”. PLOS ONE 2013. DOI: 10.1371/journal.pone.0083773                

43. A. Vilamala; P.J.G. Lisboa; S. Ortega-Martorell; Alfredo Vellido. “Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours”. Pattern Recognition Letters 2013, 34(14), 1734–1747. DOI:10.1016/j.patrec.2013.05.023                

44. S. Ortega-Martorell; P.J.G. Lisboa; A. Vellido; R.V. Simões; M. Pumarola; M. Julià-Sapé; C. Arús. “Convex Non-Negative Matrix Factorization for Brain Tumor Delimitation from MRSI Data”. PLOS ONE 2012, 7(10): e47824. DOI:10.1371/journal.pone.0047824                .

45. S. Ortega-Martorell, P.J.G. Lisboa, A. Vellido, M. Juliá-Sapè, C. Arús. “Non-negative Matrix Factorisation methods for the spectral decomposition of MRS data from human brain tumours”. BMC Bioinformatics 2012, 13:38. DOI: 10.1186/1471-2105-13-38                

46. R.V. Simões, S. Ortega-Martorell, T. Delgado-Goñi, Y. Le Fur, M. Pumarola, A.P. Candiota, J. Martín, R. Stoyanova, P.J. Cozzone, M. Julià-Sapé, C. Arús. “Improving the classification of brain tumors in mice with Perturbation Enhanced (PE)-MRSI”. Integrative Biology 2012, 4(2), 183-191. DOI: 10.1039/C2IB00079B                

47. S. Ortega-Martorell, I. Olier, M. Julià-Sapé, C. Arús. “SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system”. BMC Bioinformatics 2010, 11:106. DOI: 10.1186/1471-2105-11-106                

48. Book chapter (peer-reviewed)

49. S. Ortega-Martorell, M. Julià-Sapé, P.J.G. Lisboa, C. Arús. “Pattern Recognition Analysis of MR Spectra” in Handbook of in vivo Magnetic Resonance Spectroscopy, edited by J. Griffiths and P. Bottomley. John Wiley & Sons, Ltd. eMagRes 2016, 5(1), 945-958. DOI 10.1002/9780470034590.emrstm1484                .

50. ArXiv publications (before peer review)

51. P.J.G. Lisboa, S. Ortega-Martorell, S. Cashman, I. Olier. “The Partial Response Network: a neural network nomogram”. 2019 arXiv:1908.05978                 [cs.LG], updated on July 2020.

52. R.V. Casana-Eslava, P.J.G.  Lisboa, S. Ortega-Martorell, I.H. Jarman, J.D. Martin-Guerrero. “A Probabilistic framework for Quantum Clustering”. 2019 arXiv:1902.05578                 [stat.ML]

Conference publications (journal proceedings, peer-reviewed)

1. B. Walters, S. Ortega-Martorell, I. Olier, P.J.G. Lisboa. “Towards interpretable machine learning for clinical decision support”. IEEE World Congress on Computational Intelligence (WCCI) and International Joint Conference on Neural Networks (IJCNN). Padua, Italy. 2022

2. B. Walters, S. Ortega-Martorell, I. Olier, P.J.G. Lisboa. “The partial response SVM”. ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Belgium, Oct 2021.

3. I. Olier, A. Sansom, P. Lisboa, S. Ortega-Martorell. “Using MLP partial responses to explain in-hospital mortality in ICU”. International Conference on Data Analytics for Business and Industry (ICDABI). Bahrain Oct 2020.

4. P. Lisboa, S. Ortega-Martorell, M. Jayabalan, I. Olier. “Efficient estimation of General Additive Neural Networks: a Case Study for CTG data”. ECML PKDD International Workshop on eXplainable Knowledge Discovery in Data Mining. Ghent, Belgium, UK. Sep 2020. 

5. P. Lisboa, S. Ortega-Martorell, I. Olier. “Explaining the neural network: A case study to model the incidence of cervical cancer”. 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2020). Lisbon, Portugal. Jun 2020.

6. S. Marnell, P. Riley, I. Olier, M. Rea, S. Ortega-Martorell. “A comparative assessment of Feed-Forward and Convolutional Neural Networks for the classification of prostate lesions”. 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL). Manchester, UK. Nov 2019.

7. P.G. McCabe, I. Olier, S. Ortega-Martorell, I. Jarman, V. Baltzopoulos, P. Lisboa. “Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis”. 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL). Manchester, UK. Nov 2019. 

8. P.G. McCabe, S. Ortega-Martorell, I. Olier. “Benchmarking multi-task learning in predictive models for drug discovery”. International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary. July 2019.

9. R. Casana-Eslava, J.D. Martin-Guerrero, S. Ortega-Martorell, P.J.G. Lisboa, I. Jarman. “Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric”. International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary. July 2019. 

10. M. Srivastava, I. Olier, P. Riley, P.J.G Lisboa, S. Ortega-Martorell. “Classifying and grouping mammography images into communities using Fisher information networks to assist the diagnosis of breast cancer”. 13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+) 2019. Barcelona, Spain. June 2019.

11. P. Riley, I. Olier, M. Rea, P. Lisboa, S. Ortega-Martorell. “A voting ensemble method to assist the diagnosis of prostate cancer using multiparametric MRI”. 13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+) 2019. Barcelona, Spain. June 2019.

12. V. Mocioiu, N.M. Pedrosa de Barros, S. Ortega-Martorell, J. Slotboom, U. Knecht, C. Arús, A. Vellido, M. Julià-Sapé. “A machine learning pipeline for differentiating glioblastomas from single brain metastases”. European Symposium on Artificial Neural Networks (ESANN) 2016. Bruges, Belgium. April, 2016.

13. S. Ortega-Martorell, I. Olier, M. Julià-Sapé, C. Arús, P.J.G. Lisboa. “Automatic relevance source determination in human brain tumors using Bayesian NMF”. IEEE Symposium Series on Computational Intelligence (SSCI). Orlando, FL, USA. December, 2014.

14. S. Ortega-Martorell, I. Olier, T. Delgado-Goñi, M. Ciezka, M. Julià-Sapé, P.J.G. Lisboa, C. Arús. “Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy”. IEEE Symposium Series on Computational Intelligence (SSCI). Orlando, FL, USA. December, 2014.

15. H. Ruiz, S. Ortega-Martorell, I.H. Jarman, A. Vellido, E. Romero, J.D. Martín, P.J.G. Lisboa. “Towards interpretable classifiers with blind signal separation”. International Joint Conference on Neural Networks (IJCNN). Brisbane, Australia. June, 2012.

16. H. Ruiz, S. Ortega-Martorell, I.H. Jarman, J.D. Martín, P.J.G. Lisboa. “Constructing similarity networks using the Fisher information metric”. European Symposium on Artificial Neural Networks (ESANN) 2012. Bruges, Belgium. April, 2012.

17. S. Ortega-Martorell, P.J.G. Lisboa, A. Vellido, R.V. Simões, M. Juliá-Sapè, C. Arús. “Brain tumor pathological area delimitation through Non-negative Matrix Factorization”. 11th IEEE International Conference on Data Mining (ICDM) Workshops. Vancouver, Canada. December, 2011.

18. P.J.G. Lisboa, I.H. Jarman, T.A. Etchells, S.J. Chambers, D. Bacciu, J. Whittaker, J. M. Garibaldi, S. Ortega-Martorell, A. Vellido and I.H. Ellis. “Discovering hidden pathways in bioinformatics”. 8th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB). Lecture Notes in Computer Science 2012, 7548:49-60. Gargnano-Lago di Garda, Italy. June, 2011.

19. S. Ortega-Martorell, A. Vellido, P.J.G. Lisboa, M. Julià-Sapé, C. Arús. “Spectral decomposition methods for the analysis of MRS information from human brain tumors”. International Joint Conference on Neural Networks (IJCNN). San José, CA, USA. July, 2011.

20. S. Ortega-Martorell, I. Olier, A. Vellido, M. Julià-Sapé, C. Arús. “Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis”. European Symposium on Artificial Neural Networks (ESANN) 2010. Bruges, Belgium. April, 2010.

21. S. Panagiotidi, J. Vázquez-Salceda, S. Álvarez-Napagao, S. Ortega-Martorell, S. Willmott, R. Confalonieri, P. Storms. “Intelligent Contracting Agents Language”. Symposium on Behaviour Regulation in Multi-agent Systems. Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB) 2008. Proceedings Volume 4. Aberdeen, Scotland. Apr 2008. 

22. F. Fernández-Peña, S. Ortega-Martorell. “Towards a Contract-based Interoperation Framework”. JDARE 2007. Alicante, Spain. Feb 2007. 

Conference abstracts (peer-reviewed)

1. S. Wu, P. Calero, L. Villamañan, N. Arias-Ramos, M. Pumarola, S. Ortega-Martorell, M. Julià-Sapé, C. Arús, A.P. Candiota. “MRSI-based nosological images in glioblastoma therapy monitoring: an oscillatory pattern could act as immune system biomarker”. 2019 International Conference on Molecular Imaging and Minimally Invasive Therapy (MIMIT). Beijing, China. Oct 2019.

2. L. Villamañan, P. Calero, S. Wu, N. Arias-Ramos, M. Pumarola, S. Ortega-Martorell, M. Julià-Sapé, C. Arús, A.P. Candiota. Oscillatory pattern of response in MRSI-based Glioblastoma therapy follow-up: an immune system biomarker? European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2019. Rotterdam, NL. Oct 2019.

3. A.P. Candiota, S. Wu, P. Calero, L. Villamañan, N. Arias-Ramos, S. Ortega-Martorell, M. Pumarola, M. Julià-Sapé, Arús C. “Long-term antitumour immune memory in C57BL/6j mice harbouring GL261 glioblastoma after metronomic Temozolomide administration”. Fifth International Cancer Immunotherapy Conference (CICON) 2019. Paris, France. Sep 2019. 

4. S. Wu, P. Calero, L. Villamañan, N. Arias-Ramos, M. Pumarola, S. Ortega-Martorell, M. Julià-Sapé, C. Arús, A.P. Candiota. “Can the oscillatory pattern of response in MRSI-based Glioblastoma therapy follow-up become an immune system activity biomarker?” 3rd Young Spanish ESMI Group Meeting.  Barcelona, Spain. 2019

5. P. Calero, L. Villamañan, S. Wu, N. Arias-Ramos, M. Pumarola, S. Ortega-Martorell, M. Julià-Sapé, C. Arús, A.P. Candiota. “One step beyond: using metabolism to assess therapy efficacy in preclinical glioblastoma”. 5th MetNet International Annual Meeting. Barcelona, Spain. 2019.

6. E. Jiménez-Xarrié, V. Mocioiu, M. Julià-Sapé, S. Ortega-Martorell, R. Delgado-Mederos, J. Martí-Fàbregas, A.P. Candiota, C. Arús. “Unsupervised source extraction from brain magnetic resonance spectroscopy data in a stroke rat model using convex non-negative matrix factorization”. European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2017. Barcelona, Spain. Oct 2017.

7. E. Jiménez-Xarrié, V. Mocioiu, M. Julià-Sapé, S. Ortega-Martorell, A.P. Candiota, R. Delgado-Mederos, C. Arús, J. Martí-Fàbregas. “Unsupervised source extraction from brain magnetic resonance spectroscopy data in a stroke rat model”. European Stroke Conference (ESC) 2016.  Barcelona, Spain. May 2016.

8. S. Ortega-Martorell, T. Delgado-Goñi, I. Olier, M. Ciezka, A.P. Candiota, M. Julià-Sapé, M. Pumarola, P.J.G. Lisboa, C. Arús. “Tracking therapy response in pre-clinical glioblastoma using source-based nosologic images”. European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2015. Edinburgh, UK. Oct, 2015.

9. V. Mocioiu, N.M. Pedrosa de Barros, S. Ortega-Martorell, U. Knecht, J. Slotboom, C. Arús, M. Julià-Sapé. “Differentiating glioblastomas from brain metastases by means of convex nonnegative matrix factorization”. European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2015. Edinburgh, UK. Oct, 2015.

10. N.M. Pedrosa de Barros, V. Mocioiu, S. Ortega-Martorell, U. Knecht, C. Arús, J. Slotboom, M. Julià-Sapé. “Highlighting differences between GBM and brain metastasis using a blind source separation method applied to MRSI data”. European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2015. Edinburgh, UK. Oct, 2015.

11. V. Mocioiu, S. Ortega-Martorell, I. Olier, M. Jablonski, J. Starcukova, P.J.G Lisboa, C. Arús, M. Julià-Sapé. “jMRUI plugin software (jMRUI2XML) to allow automated MRS processing and XMLbased standardized output”. European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2015. Edinburgh, UK. Oct, 2015.

12. S. Ortega-Martorell, I. Olier, T. Delgado-Goñi, M. Ciezka, A.P. Candiota, M. Julià-Sapé, M. Pumarola, P.J.G. Lisboa, C. Arús. “Source-based nosologic imaging of response to therapy in pre-clinical glioblastoma”. International Society for Magnetic Resonance in Medicine (ISMRM) 2015. Toronto, Canada. May, 2015.

13. M. Ciezka, T. Delgado-Goñi, S. Ortega-Martorell, I. Olier, M. Julià-Sapé, A.P. Candiota, P.J.G. Lisboa, C. Arús. “Nosological imaging of glioblastoma response to therapy”. XIV Congress of the Spanish Biophysical Society (SBE) 2014. Alcala de Henares, Spain. June, 2014.

14. S. Ortega-Martorell, P.J.G. Lisboa, A. Vellido, R.V. Simões, M. Pumarola, M. Julià-Sapé, C. Arús. "Unsupervised tumour area delimitation in glioblastoma multiforme using non-negative matrix factorisation of MRSI grids". European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2012. Lisbon, Portugal. October, 2012.

15. S. Ortega-Martorell, M. Julià-Sapé, A. García-Chacón, C. Arús. "An integrated framework to produce classifiers for MRS data and to visualise them into a decision-support system". European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2012. Lisbon, Portugal. October, 2012.

16. S. Ortega-Martorell, P.J.G. Lisboa, A. Vellido, R.V. Simões, M. Pumarola, M. Julià-Sapé, C. Arús. “Tumour area delimitation in glioblastoma multiforme using non-negative matrix factorisation”. IMA Conference on Mathematics of Medical Devices and Surgical Procedures. UCL, London, UK. Sep 2012.

17. S. Ortega-Martorell, P.J.G. Lisboa, A. Vellido, R.V. Simões, M. Pumarola, M. Julià-Sapé, C. Arús. “Delimitation of the solid tumour area in glioblastomas using Non-negative Matrix Factorisation”. 10th IEEE International Symposium on Biomedical Imaging (ISBI). Barcelona, Spain. May, 2012.

18. S. Ortega-Martorell, I. Olier, A. Vellido, P.J.G. Lisboa, W. El-Deredy. “Comparing independent component analysis and non-negative matrix factorisation in the identification of event-related brain dynamics”. 11th International Conference on Cognitive Neuroscience (ICON XI). Mallorca, Spain. September, 2011.

19. R.V. Simões, S. Ortega-Martorell, T. Delgado-Goñi, Y. le Fur, M. Pumarola, AP. Candiota, PJ Cozzone, M. Juliá-Sapè, C. Arús. “Improving the classification of brain tumors in mice with perturbation enhanced (PE)-MRSI”. 16th International Charles Heidelberger Symposium on Cancer Research. Coimbra, Portugal. September, 2010.

20. S. Ortega-Martorell; I. Olier; A. Vellido; M. Julià-Sapé; C. Arús. “Spectral Prototype Extraction for the discrimination of glioblastomas from metastases in a SV 1H-MRS brain tumour database”. International Society for Magnetic Resonance in Medicine (ISMRM) 2010. Stockholm, Sweden. May, 2010.

21. RV. Simões, S. Ortega-Martorell, M. Acosta, M. Pumarola, AP. Candiota, M. Julià-Sapé, C. Arús. “Improving tumor classification with MRSI pattern perturbation”.  Cambridge Research Institute Annual International Symposium 2010. University of Cambridge. Cambridge, UK. March, 2010.

22. S. Ortega-Martorell, I. Olier, M. Julià-Sapé, C. Arús. “TumourClassifier 1.0, a java solution for a fast development of MRS-based classifiers”. European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2009. Antalya, Turkey. September, 2009.

23. M. Julià-Sapé, C. Majós, S. Ortega-Martorell, I. Olier, M. Cos, C. Aguilera, C. Arús. “Choosing optimal classifiers for 1.5T SV 1H-MRS data for pseudotumoural brain diseases”. European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2009. Antalya, Turkey. September, 2009.

24. S. Ortega-Martorell, I. Olier, M. Julià-Sapé, C. Arús. “TumourClassifier, a java tool for fast development and implementation of MRS- based classifiers”. International Society for Magnetic Resonance in Medicine (ISMRM) 2009. Hawaii, USA. April, 2009.