Ortega-Martorell, S, Olier, I and Lip, GYH (2024) A European network to develop virtual twin technology for personalized stroke management in atrial fibrillation: the TARGET consortium. European Heart Journal. ISSN 0195-668X

Ortega-Martorell, S, Olier, I, Ohlsson, M, Lip, GY and TARGET Consortium, (2024) TARGET: a major European project aiming to advance the personalised management of atrial fibrillation related stroke. Thrombosis and Haemostasis. ISSN 0340-6245

Bellfield, RAA, Olier, I, Lotto, R, Jones, ID, Dawson, EA, Li, G, Tuladhar, AM, Lip, GYH and Ortega-Martorell, S (2024) AI-based derivation of atrial fibrillation phenotypes in the general and critical care populations. eBioMedicine, 107. ISSN 2352-3964

Sante, A, Font, AS, Ortega-Martorell, S, Olier, I and McCarthy, IG (2024) 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, 531 (4). pp. 4363-4382. ISSN 0035-8711

Bellfield, RAA, Ortega-Martorell, S, Lip, GYH, Oxborough, D and Olier, I (2024) Impact of ECG data format on the performance of machine learning models for the prediction of myocardial infarction. Journal of Electrocardiology, 84. pp. 17-26. ISSN 0022-0736

Wang, R, Liu, Y, Thabane, L, Olier, I, Li, L, Ortega-Martorell, S, Lip, GYH and Li, G (2024) Relationship between trajectories of dietary iron intake and risk of type 2 diabetes mellitus: evidence from a prospective cohort study. Nutrition Journal, 23 (1). p. 15.

Ungan, G, Pons-Escoda, A, Ulinic, D, Arús, C, Ortega-Martorell, S, Olier, I, Vellido, A, Majós, C and Julià-Sapé, M (2024) Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous. NMR in Biomedicine. pp. 1-12. ISSN 0952-3480

Palermi, S, Vecchiato, M, Saglietto, A, Niederseer, D, Oxborough, D, Ortega-Martorell, S, Olier, I, Castelletti, S, Baggish, A, Maffessanti, F, Biffi, A, D’Andrea, A, Zorzi, A, Cavarretta, E and D’Ascenzi, F (2024) Unlocking the potential of artificial intelligence in sports cardiology: does it have a role in evaluating athlete’s heart? European Journal of Preventive Cardiology. ISSN 2047-4873

Aikodon, N, Ortega-Martorell, S and Olier-Caparroso, I (2023) Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning. Algorithms, 17 (1). ISSN 1999-4893

Ortega-Martorell, S, Bellfield, RAA, Harrison, S, Drewery, D, Williams, N and Olier-Caparroso, I (2023) Mapping the global free expression landscape using machine learning. SN Applied Sciences, 5 (354). ISSN 2523-3963

Ortega-Martorell, S, Olier, I, Johnston, BW and Welters, ID (2023) Sepsis-induced coagulopathy is associated with new episodes of atrial fibrillation in patients admitted to critical care in sinus rhythm. Frontiers in Medicine, 10. ISSN 2296-858X

Wang, R, Gerstein, HC, Van Spall, HGC, Lip, GYH, Olier, I, Ortega-Martorell, S, Thabane, L, Ye, Z and Li, G (2023) Relationship between remnant cholesterol and risk of heart failure in participants with diabetes mellitus. European heart journal. Quality of care & clinical outcomes, 9 (5). pp. 537-545. ISSN 2058-5225

Walters, B, Ortega-Martorell, S, Olier, I and Lisboa, PJG (2023) How to Open a Black Box Classifier for Tabular Data. Algorithms, 16 (4).

Heseltine, T, Hughes, E, Mattew, J, Murray, S, Ortega-Martorell, S, Olier, I, Dey, D, Lip, GYH and Khoo, S (2023) The association of epicardial adipose tissue volume and density with coronary calcium in HIV-positive and HIV-negative patients. Journal of Infection. ISSN 0163-4453

Vinciguerra, M, Olier, I, Ortega-Martorell, S and Lip, GYH (2022) New use for an old drug: Metformin and atrial fibrillation. Cell reports. Medicine, 3 (12). ISSN 2666-3791

Lisboa, PJG, Jayabalan, M, Ortega-Martorell, S, Olier, I, Medved, D and Nilsson, J (2022) Enhanced survival prediction using explainable artificial intelligence in heart transplantation. Scientific Reports, 12 (1). ISSN 2045-2322

Mohammed, SJ, Zubaidi, SL, Ortega-Martorell, S, Al-Ansari, N, Ethaib, S and Hashim, K (2022) Application of hybrid machine learning models and data pre-processing to predict water level of watersheds: Recent trends and future perspective. Cogent Engineering, 9 (1).

Bellfield, RAA, Ortega-Martorell, S, Lip, GYH, Oxborough, D and Olier, I (2022) The Athlete’s Heart and Machine Learning: A Review of Current Implementations and Gaps for Future Research. Journal of Cardiovascular Development and Disease, 9 (11). ISSN 2308-3425

Wang, R, Olier, I, Ortega-Martorell, S, Liu, Y, Ye, Z, Lip, GYH and Li, G (2022) Association between metabolically healthy obesity and risk of atrial fibrillation: taking physical activity into consideration. Cardiovascular Diabetology, 21 (1).

Khudhair, ZS, Zubaidi, SL, Ortega-Martorell, S, Al-Ansari, N, Ethaib, S and Hashim, KS (2022) A Review of Hybrid Soft Computing and Data Pre-Processing Techniques to Forecast Freshwater Quality’s Parameters: Current Trends and Future Directions. Environments, 9 (7). ISSN 2076-3298

Ortega-Martorell, S, Pieroni, M, Johnston, BW, Olier, I and Welters, ID (2022) 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, 9.

Walters, B, Ortega-Martorell, S, Olier, I and Lisboa, PJG (2021) The partial response SVM. In: ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning . (ESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 06 October 2021 - 08 October 2021, Online).

Olier, I, Ortega-Martorell, S, Pieroni, M and Lip, GYH (2021) How machine learning is impacting research in atrial fibrillation: Implications for risk prediction and future management. Cardiovascular Research, 117 (7). pp. 1700-1717. ISSN 0008-6363

Olier-Caparroso, I, Sansom, A, Lisboa, P and Ortega-Martorell, S (2021) Using MLP partial responses to explain in-hospital mortality in ICU. In: 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI) . (2020 International Conference on Data Analytics for Business and Industry, 26 October 2020 - 27 October 2020, Sakheer, Bahrain).

Casaña-Eslava, RV, Jarman, IH, Ortega-Martorell, S, Lisboa, PJG and Martín-Guerrero, JD (2020) Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering. Neural Computing and Applications. ISSN 0941-0643

Casaña-Eslava, RV, Ortega-Martorell, S, Lisboa, PJ, Candiota, AP, Julià-Sapé, M, Martín-Guerrero, JD and Jarman, IH (2020) Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites. PLoS One, 15 (7). ISSN 1932-6203

Casaña-Eslava, RV, Lisboa, P, Ortega-Martorell, S, Jarman, I and Martin-Guerrera, J (2020) Probabilistic quantum clustering. Knowledge-Based Systems. ISSN 0950-7051

Marnell, S, Riley, P, Olier, I, Rea, M and Ortega-Martorell, S (2019) A comparative assessment of Feed-Forward and Convolutional Neural Networks for the classification of prostate lesions. In: Lecture Notes in Computer Science . pp. 132-138. (20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), 14 November 2019 - 16 November 2019, Manchester).

Srivastava, M, Olier, I, Riley, P, Lisboa, P and Ortega-Martorell, S (2019) Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer. In: Advances in Intelligent Systems and Computing , 976. pp. 304-313. (13th International Workshop, WSOM+ 2019, 26th-28th June 2019, Barcelona, Spain).

Riley, P, Olier, I, Rea, M, Lisboa, P and Ortega-Martorell, S (2019) A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI. In: Advances in Intelligent Systems and Computing , 976. (13th International Workshop, WSOM+ 2019, 26th-28th June 2019, Barcelona, Spain).

Zubaidi, S, Dooley, J, Alkhaddar, R, Abdellatif, M, Al-Bugharbee, H and Ortega-Martorell, S (2018) A Novel Approach for Predicting Monthly Water Demand by Combining Singular Spectrum Analysis with Neural Networks. Journal of Hydrology, 561. pp. 136-145. ISSN 0022-1694

Jiménez-Xarrié, E, Davila, M, Candiota, AP, Delgado-Mederos, R, Ortega-Martorell, S, Julià-Sapé, M, Arús, C and Martí-Fàbregas, J (2017) Brain metabolic pattern analysis using a magnetic resonance spectra classification software in experimental stroke. BMC Neuroscience, 18 (13). ISSN 1471-2202

Ortega-Martorell, S, Julià-Sapé, M, Lisboa, P and Arús, C (2016) Pattern Recognition Analysis of MR Spectra. In: Griffiths, J and Bottomley, P, (eds.) Handbook of in vivo Magnetic Resonance Spectroscopy. John Wiley & Sons. ISBN 978-1-118-99766-6

Mocioiu, V, De Barros, NMP, Ortega-Martorell, S, Slotboom, J, Knecht, U, Arús, C, Vellido, A and Julià-Sapé, M (2016) A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases. In: ESANN 2016 - 24th European Symposium on Artificial Neural Networks , ES2016 (82). (ESANN 2016 - 24th European Symposium on Artificial Neural Networks, 27th - 29th April 2016, Bruges, Belgium).

Mocioiu, V, Ortega-Martorell, S, Olier, I, Jablonski, M, Starcukova, J, Lisboa, P, Arús, C and Julià-Sapé, M (2015) From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML. BMC Bioinformatics, 16 (378). pp. 1-11. ISSN 1471-2105

Ortega-Martorell, S, Olier, I, Delgado-Goni, T, Ciezka, M, Julià-Sapé, M, Lisboa, P and Arús, C (2015) Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. In: CIDM 2014: Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on . pp. 93-98. (2014 IEEE Symposium on Computation Intelligence and Data Mining, 9th-12th December 2014, Orlando, FL).

Ortega-Martorell, S, Olier, I, Julià-Sapé, M, Arús, C and Lisboa, P (2014) Automatic relevance source determination in human brain tumors using Bayesian NMF. In: 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) . pp. 99-104. (2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 9th-12th December 2014, Orlando, Florida).

Ortega-Martorell, S, Ruiz, H, Vellido, A, Olier, I, Romero, E, Julia-Sape, M, Martin, JD, Jarman, I, Arus, C and Lisboa, P (2013) A Novel Semi-Supervised Methodology for Extracting Tumor Type-Specific MRS Sources in Human Brain Data. PLOS ONE, 8 (12). pp. 1-14. ISSN 1932-6203

Ortega-Martorell, S, Olier, I, Julia-Sape, M and Arus, C (2010) SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system. BMC Bioinformatics, 11. ISSN 1471-2105

Khan, W, Topham, L, Khayam, U, Ortega-Martorell, S, Heather, P, Ansell, D, Al-Jumeily, D and Hussain, A Person de-Identification: A Comprehensive Review of Methods, Datasets, Applications, and Ethical Aspects Along-With New Dimensions. IEEE Transactions on Biometrics, Behavior, and Identity Science. (Accepted)