| DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing A Vidaki, D Ballard, A Aliferi, TH Miller, LP Barron, DS Court Forensic Science International: Genetics 28, 225-236, 2017 | 257 | 2017 |
| A review of the pharmaceutical exposome in aquatic fauna TH Miller, NR Bury, SF Owen, JI MacRae, LP Barron Environmental pollution 239, 129-146, 2018 | 243 | 2018 |
| Suspect screening of large numbers of emerging contaminants in environmental waters using artificial neural networks for chromatographic retention time prediction and high … R Bade, L Bijlsma, TH Miller, LP Barron, JV Sancho, F Hernández Science of the Total Environment 538, 934-941, 2015 | 114 | 2015 |
| Biomonitoring of pesticides, pharmaceuticals and illicit drugs in a freshwater invertebrate to estimate toxic or effect pressure TH Miller, KT Ng, ST Bury, SE Bury, NR Bury, LP Barron Environment international 129, 595-606, 2019 | 103 | 2019 |
| Prediction of chromatographic retention time in high-resolution anti-doping screening data using artificial neural networks TH Miller, A Musenga, DA Cowan, LP Barron Analytical chemistry 85 (21), 10330-10337, 2013 | 82 | 2013 |
| Pharmaceuticals in the freshwater invertebrate, Gammarus pulex, determined using pulverised liquid extraction, solid phase extraction and liquid chromatography–tandem mass … TH Miller, GL McEneff, RJ Brown, SF Owen, NR Bury, LP Barron Science of the Total Environment 511, 153-160, 2015 | 80 | 2015 |
| Prediction of bioconcentration factors in fish and invertebrates using machine learning TH Miller, MD Gallidabino, JI MacRae, SF Owen, NR Bury, LP Barron Science of the Total Environment 648, 80-89, 2019 | 78 | 2019 |
| Artificial neural network modelling of pharmaceutical residue retention times in wastewater extracts using gradient liquid chromatography-high resolution mass spectrometry data K Munro, TH Miller, CPB Martins, AM Edge, DA Cowan, LP Barron Journal of Chromatography A 1396, 34-44, 2015 | 66 | 2015 |
| Targeted metabolomics of Gammarus pulex following controlled exposures to selected pharmaceuticals in water C Gómez-Canela, TH Miller, NR Bury, R Tauler, LP Barron Science of the Total Environment 562, 777-788, 2016 | 55 | 2016 |
| The first attempt at non-linear in silico prediction of sampling rates for polar organic chemical integrative samplers (POCIS) TH Miller, JA Baz-Lomba, C Harman, MJ Reid, SF Owen, NR Bury, ... Environmental science & technology 50 (15), 7973-7981, 2016 | 48 | 2016 |
| Uptake, biotransformation and elimination of selected pharmaceuticals in a freshwater invertebrate measured using liquid chromatography tandem mass spectrometry TH Miller, NR Bury, SF Owen, LP Barron Chemosphere 183, 389-400, 2017 | 44 | 2017 |
| Machine learning for environmental toxicology: a call for integration and innovation TH Miller, MD Gallidabino, JI MacRae, C Hogstrand, NR Bury, LP Barron, ... Environmental science & technology 52 (22), 12953-12955, 2018 | 42 | 2018 |
| Assessing the reliability of uptake and elimination kinetics modelling approaches for estimating bioconcentration factors in the freshwater invertebrate, Gammarus pulex TH Miller, GL McEneff, LC Stott, SF Owen, NR Bury, LP Barron Science of the Total Environment 547, 396-404, 2016 | 41 | 2016 |
| Multicompartment and cross-species monitoring of contaminants of emerging concern in an estuarine habitat TH Miller, KT Ng, A Lamphiere, TC Cameron, NR Bury, LP Barron Environmental Pollution 270, 116300, 2021 | 27 | 2021 |
| Environmental monitoring of urban streams using a primary fish gill cell culture system (FIGCS) S Schnell, K Bawa-Allah, A Otitoloju, C Hogstrand, TH Miller, LP Barron, ... Ecotoxicology and environmental safety 120, 279-285, 2015 | 24 | 2015 |
| The use of molecular descriptors to model pharmaceutical uptake by a fish primary gill cell culture epithelium ED Chang, C Hogstrand, TH Miller, SF Owen, NR Bury Environmental science & technology 53 (3), 1576-1584, 2018 | 19 | 2018 |
| Big question to developing solutions: A decade of progress in the development of aquatic new approach methodologies from 2012 to 2022 LM Langan, M Paparella, N Burden, L Constantine, L Margiotta‐Casaluci, ... Environmental Toxicology and Chemistry 43 (3), 559-574, 2024 | 5 | 2024 |
| Application of deep learning to support peak picking during non-target high resolution mass spectrometry workflows in environmental research K Mottershead, TH Miller Environmental Science: Advances 2 (6), 877-885, 2023 | 1 | 2023 |
| The use of molecular descriptors to model pharmaceutical uptake by a fish primary gill cell culture epithelium T Miller | | 2018 |
| Investigating the application of artificial neural networks to predict the bioconcentration of xenobiotics in fish and invertebrates T Miller, K Thomas, N Bury, S Owen, L Barron | | 2017 |
Leon BarronImperial College LondonDirección de correo verificada de imperial.ac.uk
