Items where Author is "Olier, I"
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Article
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
Mistry, D, Copperwheat, CM, Darnley, MJ and Olier, I (2023) Machine-learning applications for cataclysmic variable discovery in the ZTF alert stream. Monthly Notices of the Royal Astronomical Society, 527. pp. 8633-8658. ISSN 0035-8711
Olier, I, Zhan, Y, Liang, X and Volovici, V (2023) Causal inference and observational data. BMC Medical Research Methodology, 23 (1).
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
Ortega Martorell, S, Olier, I, Hernandez, O, Restrepo-Galvis, PD, Bellfield, RAA and Candiota, AP (2023) Tracking Therapy Response in Glioblastoma Using 1D Convolutional Neural Networks. Cancers, 15 (15). ISSN 2072-6694
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
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).
Mistry, D, Copperwheat, CM, Darnley, MJ and Olier, I (2022) Machine Learning based search for Cataclysmic Variables within Gaia Science Alerts. Monthly Notices of the Royal Astronomical Society, 517 (3). pp. 3362-3376. ISSN 0035-8711
McCabe, PG, Lisboa, P, Baltzopoulos, V and Olier, I (2022) Externally validated models for first diagnosis and risk of progression of knee osteoarthritis. PloS one, 17 (7). ISSN 1932-6203
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, Orhobor, OI, Dash, T, Davis, AM, Soldatova, LN, Vanschoren, J and King, RD (2021) Transformational machine learning: Learning how to learn from many related scientific problems. Proceedings of the National Academy of Sciences, 118 (49). ISSN 0027-8424
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
Núñez-Gil, IJ, Olier, I, Feltes, G, Viana-Llamas, MC, Maroun-Eid, C, Romero, R, Fernández-Rozas, I, Uribarri, A, Becerra-Muñoz, VM, Alfonso-Rodriguez, E, García-Aguado, M, Elola, J, Castro-Mejía, A, Pepe, M, Garcia-Prieto, JF, Gonzalez, A, Ugo, F, Cerrato, E, Bondia, E, Raposeiras, S , Mendez, JLJ, Espejo, C, Masjuan, ÁL, Marin, F, López-Pais, J, Abumayyaleh, M, Corbi-Pascual, M, Liebetrau, C, Ramakrisna, H, Estrada, V, Macaya, C and HOPE COVID-19 investigators (Cols appendix), (2021) Renin-Angiotensin system inhibitors effect before and during hospitalization in COVID-19 outcomes: final analysis of the international HOPE COVID-19 (Health Outcome Predictive Evaluation for COVID-19) Registry. American Heart Journal, 237. pp. 104-115. ISSN 0002-8703
Ta, Q, Ting, J, Harwood, S, Browning, N, Simm, A, Ross, K, Olier, I and Al-Kassas, R (2021) Chitosan nanoparticles for enhancing drugs and cosmetic components penetration through the skin. European Journal of Pharmaceutical Sciences. ISSN 0928-0987
Zubaidi, S, Al-Bugharbee, H, Ortega Martorell, S, Gharghan, SK, Olier, I, Hashim, KS, Al-Bdairi, NSS and Kot, P (2020) A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach. Water, 12 (6). ISSN 2073-4441
Sadawi, N, Olier, I, Vanschoren, J, van Rijn, JN, Besnard, J, Bickerton, R, Grosan, C, Soldatova, L and King, RD (2019) Multi-task learning with a natural metric for quantitative structure activity relationship learning. Journal of Cheminformatics, 11 (68). pp. 1-13. ISSN 1758-2946
Ortega Martorell, S, Candiota, AP, Thomson, R, Riley, P, Julia-Sape, M and Olier, I (2019) Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models. PLoS One, 14 (8). pp. 1-21. ISSN 1932-6203
Olier, I, Carr, M, Curzen, N, Ludman, P, Baumbach, A, Kinnaird, T, de Belder, MA, Hildick-Smith, D, Sirker, A, Kwok, CS, Rashid, M, Nolan, J, Kontopantelis, E and Mamas, MA (2018) Changes in Peri-procedural Bleeding Complications Following Percutaneous Coronary Intervention in The United Kingdom Between 2006-2013 (From the British Cardiovascular Interventional Society). The American Journal of Cardiology. ISSN 0002-9149
Olier, I, Sirker, A, Hildick-Smith, DJR, Kinnaird, T, Ludman, P, de Belder, MA, Baumbach, A, Byrne, J, Rashid, M, Curzen, N, Mamas, MA and British Cardiovascular Intervention Society and the National Ins, (2018) Association of different antiplatelet therapies with mortality after primary percutaneous coronary intervention. Heart. ISSN 1355-6037
Olier, I, Sadawi, N, Bickerton, GR, Vanschoren, J, Grosan, C, Soldatova, L and King, RD (2017) Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. Machine Learning, 107 (1). pp. 285-311. ISSN 0885-6125
Rashid, M, Rushton, CA, Kwok, CS, Kinnaird, T, Kontopantelis, E, Olier, I, Ludman, P, De Belder, MA, Nolan, J and Mamas, MA (2017) Impact of Access Site Practice on Clinical Outcomes in Patients Undergoing Percutaneous Coronary Intervention Following Thrombolysis for ST-Segment Elevation Myocardial Infarction in the United Kingdom An Insight From the British Cardiovascular Intervention Society Dataset. JACC: Cardiovascular Interventions, 10 (22). pp. 2258-2265. ISSN 1936-8798
Springate, DA, Parisi, R, Olier, I, Reeves, D and Kontopantelis, E (2017) rEHR: An R package for manipulating and analysing Electronic Health Record data. PLoS One, 12 (2). ISSN 1932-6203
Kwok, CS, Hulme, W, Olier, I, Holroyd, E and Mamas, MA (2017) Review of early hospitalisation after percutaneous coronary intervention. International Journal of Cardiology, 227. pp. 370-377. ISSN 0167-5273
Rashid, M, Kwok, CS, Gale, CP, Doherty, P, Olier, I, Sperrin, M, Kontopantelis, E, Peat, G and Mamas, MA (2016) Impact of co-morbid burden on mortality in patients with coronary heart disease, heart failure, and cerebrovascular accident: a systematic review and meta-analysis. European Heart Journal Quality of Care & Clinical Outcomes, 3 (1). pp. 20-36. ISSN 2058-5225
Delgado-Goñi, T, Ortega Martorell, S, Ciezka, M, Olier, I, Candiota, AP, Julià-Sapé, M, Fernández, F, Pumarola, M, Lisboa, P and Arús, C (2016) MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis. NMR in Biomedicine, 29 (6). pp. 732-743. ISSN 1099-1492
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
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).
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).
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).