| A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI P Zeidman, A Jafarian, N Corbin, ML Seghier, A Razi, CJ Price, KJ Friston Neuroimage 200, 174-190, 2019 | 296 | 2019 |
| Accurate modeling of temporal correlations in rapidly sampled fMRI time series N Corbin, N Todd, KJ Friston, MF Callaghan Human brain mapping 39 (10), 3884-3897, 2018 | 104 | 2018 |
| Prior expectations evoke stimulus-specific activity in the deep layers of the primary visual cortex F Aitken, G Menelaou, O Warrington, RS Koolschijn, N Corbin, ... PLoS biology 18 (12), e3001023, 2020 | 68 | 2020 |
| An automatic differentiation-based gradient method for inversion of the shear wave equation in magnetic resonance elastography: specific application in fibrous soft tissues S Chatelin, I Charpentier, N Corbin, L Meylheuc, J Vappou Physics in Medicine & Biology 61 (13), 5000, 2016 | 37 | 2016 |
| Example dataset for the hMRI toolbox MF Callaghan, A Lutti, J Ashburner, E Balteau, N Corbin, B Draganski, ... Data in brief 25, 104132, 2019 | 35 | 2019 |
| Interventional MR elastography for MRI‐guided percutaneous procedures N Corbin, J Vappou, E Breton, Q Boehler, L Barbé, P Renaud, ... Magnetic Resonance in Medicine 75 (3), 1110-1118, 2016 | 32 | 2016 |
| Restoring statistical validity in group analyses of motion‐corrupted MRI data A Lutti, N Corbin, J Ashburner, G Ziegler, B Draganski, C Phillips, F Kherif, ... Human Brain Mapping 43 (6), 1973-1983, 2022 | 23 | 2022 |
| Imperfect spoiling in variable flip angle T1 mapping at 7T: Quantifying and minimizing impact N Corbin, MF Callaghan Magnetic Resonance in Medicine 86 (2), 693-708, 2021 | 21 | 2021 |
| Robust 3D Bloch‐Siegert based mapping using multi‐echo general linear modeling N Corbin, J Acosta‐Cabronero, SJ Malik, MF Callaghan Magnetic resonance in medicine 82 (6), 2003-2015, 2019 | 14 | 2019 |
| Investigations on the viscoelastic behaviour of a human healthy heel pad: In vivo compression tests and numerical analysis S Matteoli, CG Fontanella, EL Carniel, JE Wilhjelm, A Virga, N Corbin, ... Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2013 | 11 | 2013 |
| The compressed sensing MP2RAGE as a surrogate to the MPRAGE for neuroimaging at 3 T AJ Trotier, B Dilharreguy, S Anandra, N Corbin, W Lefrançois, V Ozenne, ... Investigative Radiology 57 (6), 366-378, 2022 | 9 | 2022 |
| Prior expectations evoke stimulus templates in the deep layers of V1 F Aitken, G Menelaou, O Warrington, RS Koolschijn, N Corbin, ... BioRxiv, 2020.02. 13.947622, 2020 | 9 | 2020 |
| Expectation cues and false percepts generate stimulus-specific activity in distinct layers of the early visual cortex J Haarsma, N Deveci, N Corbin, MF Callaghan, P Kok Journal of Neuroscience 43 (47), 7946-7957, 2023 | 8 | 2023 |
| Correcting inter‐scan motion artifacts in quantitative R1 mapping at 7T Y Balbastre, A Aghaeifar, N Corbin, M Brudfors, J Ashburner, ... Magnetic Resonance in Medicine 88 (1), 280-291, 2022 | 5 | 2022 |
| In vivo monitoring of percutaneous thermal ablation by simultaneous MR elastography and thermometry N Corbin, J Vappou, P Rao, B Wach, L Barbé, P Renaud, M de Mathelin, ... 24th annual meeting of the International Society for Magnetic Resonance in …, 2016 | 5 | 2016 |
| A generative approach to estimating coil sensitivities from autocalibration data Y Balbastre, J Acosta-Cabronero, N Corbin, O Josephs, J Ashburner, ... Proceedings of the 27th Annual Meeting of the International Society for …, 2019 | 4 | 2019 |
| Mitigating the impact of flip angle and orientation dependence in single compartment R2* estimates via 2‐pool modeling G Milotta, N Corbin, C Lambert, A Lutti, S Mohammadi, MF Callaghan Magnetic Resonance in Medicine 89 (1), 128-143, 2023 | 3 | 2023 |
| Mitigating susceptibility-induced distortions in high-resolution 3DEPI fMRI at 7T V Malekian, NN Graedel, A Hickling, A Aghaeifar, B Dymerska, N Corbin, ... NeuroImage 279, 120294, 2023 | 2 | 2023 |
| Characterisation of the flip angle dependence of R2* in multi-parameter mapping G Milotta, N Corbin, C Lambert, A Lutti, S Mohammadi, M Callaghan ISMRM Abstract, 2021 | 2 | 2021 |
| Impact of smoothing weights on voxel-based quantification (VBQ) analysis G Salvoni, S Mohammadi, N Corbin, J Ashburner, M Callaghan, C Phillips 2019 OHBM Annual Meeting, 2019 | 2 | 2019 |
