An introduction to convolutional neural networks K O'Shea arXiv preprint arXiv:1511.08458, 2015 | 4526 | 2015 |
An introduction to convolutional neural networks. arXiv 2015 K O’Shea, R Nash arXiv preprint arXiv:1511.08458, 2015 | 428 | 2015 |
Software tools, databases and resources in metabolomics: updates from 2018 to 2019 K O’Shea, BB Misra Metabolomics 16 (3), 36, 2020 | 94 | 2020 |
Metabolomic-based biomarker discovery for non-invasive lung cancer screening: A case study K O'Shea, SJS Cameron, KE Lewis, C Lu, LAJ Mur Biochimica et Biophysica Acta (BBA)-General Subjects 1860 (11), 2682-2687, 2016 | 45 | 2016 |
An Introduction to Convolutional Neural Networks. 1–11 K O’Shea, R Nash arXiv preprint arXiv:1511.08458 816, 2015 | 20 | 2015 |
DIMEdb: an integrated database and web service for metabolite identification in direct infusion mass spectrometery K O’Shea, D Kattupalli, LAJ Mur, NW Hardy, BB Misra, C Lu bioRxiv, 291799, 2018 | 4 | 2018 |
Massively Deep Artificial Neural Networks for Handwritten Digit Recognition K O'Shea arXiv preprint arXiv:1507.05053, 2015 | 3 | 2015 |
Visualizing ontologies with AberOWL MÁ Rodrıguez-Garcıa, L Slater, K O’Shea, PN Schofield, GV Gkoutos, ... Semantic Web Applications and Tools for the Life Sciences, 183-192, 2015 | 2 | 2015 |
EP27. 11: Deep neural networks for predicting pouch of Douglas obliteration based on transvaginal ultrasound sliding sign videos K O'Shea, S Reid, G Condous, C Lu Ultrasound in Obstetrics & Gynecology 48, 381-381, 2016 | 1 | 2016 |
Experiences with Aber-OWL, an ontology repository with OWL EL reasoning L Slater, MÁ Rodríguez-García, K O’Shea, PN Schofield, GV Gkoutos, ... Ontology Engineering: 12th International Experiences and Directions Workshop …, 2016 | 1 | 2016 |
Using artificial neural networks to inform the exploitation of’omic biomarkers in lung cancer diagnosis KT O’Shea Aberystwyth University, 2022 | | 2022 |
The Libre Biobank Management System: Toward an Extensible, Free and Open Source Web-Based Biobank Management System. K O'Shea, R Bolton, L Mur, C Lu, P Sai-Giridhar International Society for Biological and Environmental Repositories 2020, 2020 | | 2020 |
LImBuS KT O'Shea, RA Bolton, L Mur, C Lu, P Sai-Giridhar | | 2020 |
EP34. 29: Deep attention networks for the prediction of pouch of Douglas obliteration from transvaginal ultrasound sliding sign videos. K O'Shea, M Leonardi, RA Bolton, G Condous, C Lu Ultrasound in Obstetrics & Gynecology 54, 2019 | | 2019 |
DIMEdb: A database/web service for metabolite identification in direct infusion mass spectrometery K O'Shea, D Kattupalli, LAJ Mur, NW Hardy, BB Misra, C Lu Metabolomics 2019, 158, 2019 | | 2019 |
DIMEpy: efficient processing of direct infusion metabolomics data in Python K O’Shea, R Bolton, C Lu, M Beckmann, LAJ Mur | | 2019 |
DIMEpy: Direct Infusion MEtablomics processing in python K O'Shea, R Bolton, C Lu, M Beckmann, LAJ Mur https://github.com/AberystwythSystemsBiology/DIMEpy, 2019 | | 2019 |
Non-targeted integrative multi-omics approaches on sputum reveal potential diagnostic and monitoring biomarkers for respiratory diseases L Mur, A Mironas, R Paes, K O'shea, K Lewis European Respiratory Journal 50 (suppl 61), 2017 | | 2017 |
Corrigendum to Metabolomic-based biomarker discovery for non-invasive lung cancer screening: A case study [Biochimica et Biophysica Acta (BBA)-General subjects, vol. 1860 (2016 … K O'shea, SJS Cameron, KE Lewis, C Lu, LAJ Mur Biochimica et biophysica acta. General subjects 1861 (7), 1895, 2017 | | 2017 |
Exploiting metabolomic approaches to aid in the diagnosis of lung cancer A Mironas, S Cameron, K O'Shea, C Lu, P Lewis, L Mur, K Lewis European Respiratory Journal 48 (suppl 60), 2016 | | 2016 |