| MRSNet: metabolite quantification from edited magnetic resonance spectra with convolutional neural networks M Chandler, C Jenkins, SM Shermer, FC Langbein arXiv preprint arXiv:1909.03836, 2019 | 14 | 2019 |
| Seeking ground truth for GABA quantification by edited magnetic resonance spectroscopy: comparative analysis of TARQUIN, LCModel, JMRUI and GANNET C Jenkins, M Chandler, FC Langbein, SM Shermer ArXiv. Retrieved from http://arxiv. org/abs/1909.02163 [Google Scholar], 2019 | 5 | 2019 |
| Quantification of edited magnetic resonance spectroscopy: a comparative phantom based study of analysis methods C Jenkins, M Chandler, F Langbein, S Shermer | 2 | 2019 |
| Benchmarking GABA Quantification: A Ground Truth Data Set and Comparative Analysis of TARQUIN, LCModel, jMRUI and Gannet C Jenkins, M Chandler, FC Langbein, SM Shermer arXiv preprint arXiv:1909.02163, 2019 | | 2019 |
| New methods in quantification and RF pulse optimisation for magnetic resonance spectroscopy MS Chandler Cardiff University, 2019 | | 2019 |
Sophie ShermerSwansea University在 swan.ac.uk 的電子郵件地址已通過驗證
