Article

Essa, H, Ortega-Martorell, S, Olier, I and Lip, GYH (2024) Machine learning to identify phenotypic clusters of patients with atrial fibrillation. Heart Rhythm O2. ISSN 2666-5018

Boriani, G, Mei, DA, Lip, GYH, Bonini, N, Vitolo, M, Imberti, JF, Saendig, N, Bøgsted, M, Vesteghem, C, Hose, K, Sagi, T, Johnsen, S, Eriksen, M, Nielsen, PB, Brøndum, RF, Dahl, SC, Rasmussen, TS, Ortuno, FM, Roldan, V, Rivera Caravaca, JM et al, Vivani, L, Anastasia, S, Christofidis, V, Pajic, A, Martínez, A, Roca, A, Vicente, A, Asensio, JM, Sepúlveda, S, Holm, S, Henriksen, H, Ivarrud, E, Sethre, EA, Larsen, JH, Dan, A, Dan, A, Lionis, C, Kochiadakis, G, Anastasaki, M, Marketou, M, Chlouverakis, G, Galenianos, M, Vasilaki, I, Kritis, P, Ceseri, M, Gorini, M, Orso, F, Lucci, D, Maggioni, A, Lorimer, A, Paubert, G, Collin, S, De Palma, C, Martins Gonçalves, LM, Gervasio, S, Costa, I, Breysse, MM, Rodríguez, IS, Fernández, RT, Munoz, IS, De guio, F, Lara, M, Orsini, M, Monari, M, Roberts, G, Appleton, C, Loftus, J, Buchan, I, El-Bouri, W, Leeming, G, Lane, D, Zheng, Y, McVey, D, Stephens, D, Ainsworth, J, Fay, L, Couch, P, Tempest, E, Stephen, R, White, R, Olier-Caparroso, I, Ortega-Martorell, S, Bellfield, RAA, Mason, B, Schmidt, AF, Da Providencia E Costa, RB, Ponnuthurai, J and the ARISTOTELES project, (2024) Artificial intelligence in patients with atrial fibrillation to manage clinical complexity and comorbidities: the ARISTOTELES project. European Heart Journal. ISSN 0195-668X

Ortega-Martorell, S, Olier, I, Ohlsson, M and Lip, GYH (2024) Advancing personalised care in atrial fibrillation and stroke: the potential impact of AI from prevention to rehabilitation. Trends in Cardiovascular Medicine. ISSN 1050-1738

Ortega-Martorell, S, van Kempen, E, Jouvent, E and Tuladhar, AM (2024) The Rise of the Machines: Using Machine Learning to Assess Thrombosis and Bleeding Risks, and Optimizing Anticoagulation Strategies. Thrombosis and Haemostasis. ISSN 0340-6245

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.

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

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

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

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, 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)

Book Section

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

Conference or Workshop Item

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-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).

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).

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).

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).