Frequency drift in MR spectroscopy at 3T SCN Hui, M Mikkelsen, HJ Zöllner, V Ahluwalia, S Alcauter, L Baltusis, ... NeuroImage 241, 118430, 2021 | 34 | 2021 |
Design and characterization of tissue‐mimicking gel phantoms for diffusion kurtosis imaging ZG Portakal, S Shermer, C Jenkins, E Spezi, T Perrett, N Tuncel, J Phillips Medical physics 45 (6), 2476-2485, 2018 | 24 | 2018 |
Neurometabolic timecourse of healthy aging T Gong, SCN Hui, HJ Zöllner, M Britton, Y Song, Y Chen, ... NeuroImage 264, 119740, 2022 | 14 | 2022 |
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 |
Feasibility and implications of using subject‐specific macromolecular spectra to model short echo time magnetic resonance spectroscopy data HJ Zöllner, CW Davies‐Jenkins, S Murali‐Manohar, T Gong, SCN Hui, ... NMR in Biomedicine 36 (3), e4854, 2023 | 11 | 2023 |
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 |
Brain Glutathione and GABA+ levels in autistic children Y Song, KE Hupfeld, CW Davies‐Jenkins, HJ Zöllner, S Murali‐Manohar, ... Autism Research 17 (3), 512-528, 2024 | 2 | 2024 |
sLASER and PRESS perform similarly at revealing metabolite‐age correlations at 3 T SCN Hui, HJ Zöllner, T Gong, KE Hupfeld, AT Gudmundson, ... Magnetic resonance in medicine 91 (2), 431-442, 2024 | 2 | 2024 |
DW-MRS with ultra-strong diffusion gradients C Jenkins, E Kleban, L Mueller, CJ Evans, U Rudrapanta, D Jones, ... | 2 | 2020 |
Quantification of edited magnetic resonance spectroscopy: a comparative phantom based study of analysis methods C Jenkins, M Chandler, F Langbein, S Shermer | 2 | 2019 |
New techniques for quantification of biomarkers and metabolites by magnetic resonance imaging and spectroscopy CW Jenkins | 2 | 2019 |
Application of a 1H brain MRS benchmark dataset to deep learning for out-of-voxel artifacts AT Gudmundson, CW Davies-Jenkins, İ Özdemir, S Murali-Manohar, ... Imaging Neuroscience 1, 1-15, 2023 | 1* | 2023 |
Continuous automated analysis workflow for MRS studies HJ Zöllner, CW Davies-Jenkins, EG Lee, TJ Hendrickson, WT Clarke, ... Journal of Medical Systems 47 (1), 69, 2023 | 1 | 2023 |
Cohort-mean measured macromolecules lead to more robust linear-combination modeling than subject-specific or parameterized ones HJ Zöllner, CW Davies-Jenkins, S Murali-Manohar, T Gong, SCN Hui, ... bioRxiv, 2022.07. 07.499181, 2022 | 1 | 2022 |
The influence of spectral registration on diffusion-weighted magnetic resonance spectroscopy ADC estimates CW Jenkins ISMRM, 2021 | 1 | 2021 |
Comparison of R1 Mapping Protocols: What are we measuring? C Jenkins, I Papadopoulos, SM Shermer arXiv preprint arXiv:1909.12984, 2019 | 1 | 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 | 1 | 2019 |
Multimodal investigation of neuropathology and neurometabolites in mild cognitive impairment and late-life depression with 11C-PiB beta-amyloid PET and 7T magnetic resonance … CW Davies-Jenkins, CI Workman, KE Hupfeld, HJ Zöllner, JM Leoutsakos, ... Neurobiology of Aging, 2024 | | 2024 |
Simultaneous multi‐transient linear‐combination modeling of MRS data improves uncertainty estimation HJ Zöllner, C Davies‐Jenkins, D Simicic, A Tal, J Sulam, G Oeltzschner Magnetic resonance in medicine, 2024 | | 2024 |
Integrated Short-TE and Hadamard-edited Multi-Sequence (ISTHMUS) for Advanced MRS SCN Hui, S Murali-Manohar, HJ Zöllner, KE Hupfeld, CW Davies-Jenkins, ... bioRxiv, 2024 | | 2024 |