| Deep learning for PET image reconstruction AJ Reader, G Corda, A Mehranian, C da Costa-Luis, S Ellis, JA Schnabel IEEE Transactions on Radiation and Plasma Medical Sciences 5 (1), 1-25, 2020 | 234 | 2020 |
| tqdm: A Fast, Extensible Progress Meter for Python and CLI CO da Costa-Luis Journal of Open Source Software 4 (37), 1277, 2019 | 162 | 2019 |
| SIRF: Synergistic image reconstruction framework E Ovtchinnikov, R Brown, C Kolbitsch, E Pasca, C da Costa-Luis, ... Computer Physics Communications 249, 107087, 2020 | 64 | 2020 |
| DVC: Data Version Control - Git for Data & Models R Kuprieiev, skshetry, D Petrov, P Rowlands, P Redzyński, ... https://doi.org/10.5281/zenodo.3677553, 2020 | 41* | 2020 |
| Micro-networks for robust MR-guided low count PET imaging CO da Costa-Luis, AJ Reader IEEE transactions on radiation and plasma medical sciences 5 (2), 202-212, 2020 | 31 | 2020 |
| Intercomparison of MR‐informed PET image reconstruction methods J Bland, A Mehranian, MA Belzunce, S Ellis, C da Costa‐Luis, ... Medical physics 46 (11), 5055-5074, 2019 | 31 | 2019 |
| tqdm: A fast, Extensible Progress Bar for Python and CLI C da Costa-Luis, SK Larroque, K Altendorf, H Mary, richardsheridan, ... https://doi.org/10.5281/zenodo.595120, 2016 | 29* | 2016 |
| Deep Learning for Suppression of Resolution-Recovery Artefacts in MLEM PET Image Reconstruction CO da Costa-Luis, AJ Reader 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2017 | 24 | 2017 |
| Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging PJ Markiewicz, JC Matthews, J Ashburner, DM Cash, DL Thomas, ... NeuroImage 232, 117821, 2021 | 18 | 2021 |
| Motion estimation and correction for simultaneous PET/MR using SIRF and CIL R Brown, C Kolbitsch, C Delplancke, E Papoutsellis, J Mayer, ... Philosophical Transactions of the Royal Society A 379 (2204), 20200208, 2021 | 14 | 2021 |
| Convolutional micro-networks for MR-guided low-count PET image processing CO da Costa-Luis, AJ Reader 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 6 | 2018 |
| NiftyPAD-Novel Python package for quantitative analysis of dynamic PET data J Jiao, F Heeman, R Dixon, C Wimberley, I Lopes Alves, JD Gispert, ... Neuroinformatics 21 (2), 457-468, 2023 | 5 | 2023 |
| BrainWeb-based multimodal models of 20 normal brains CO da Costa-Luis https://doi.org/10.5281/zenodo.3269888, 2019 | 5 | 2019 |
| Advanced quantitative evaluation of PET systems using the ACR phantom and NiftyPET software PJ Markiewicz, C da Costa‐Luis, J Dickson, A Barnes, G Krokos, ... Medical Physics 49 (5), 3298-3313, 2022 | 2 | 2022 |
| 3D Convolutional Adversarial Micro-networks for Low Count PET-MR Post-processing CO da Costa-Luis, AJ Reader 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2019 | 1 | 2019 |
| A Low-cost Spatiotemporal Data Collection System for Tennis SV Mora, G Barnett, CO da Costa-Luis, JG Maegli, M Ingram, J Neale, ... Proc. 5th Mathematics in Sport Conference. Loughborough, UK, 2015 | 1* | 2015 |
| Stochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction E Papoutsellis, C da Costa-Luis, D Deidda, C Delplancke, M Duff, ... arXiv preprint arXiv:2406.15159, 2024 | | 2024 |
| Advanced quantitative evaluation of PET systems using the ACR phantom and NiftyPET software PJ Markiewicz, C da Costa-Luis, J Dickson, A Barnes, G Krokos, ... | | 2022 |
| An Automated and High Precision Quantitative Analysis of the ACR Phantom PJ Markiewicz, C Da Costa-Luis, J Dickson, A Barnes, G Krokos, ... 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2021 | | 2021 |
| NiftyPET Documentation PJ Markiewicz, CO da Costa-Luis | | 2021 |
Andrew ReaderProfessor, King's College LondonE-mail confirmado em kcl.ac.uk
