| Robust and fast nonlinear optimization of diffusion MRI microstructure models RL Harms, FJ Fritz, A Tobisch, R Goebel, A Roebroeck Neuroimage 155, 82-96, 2017 | 115 | 2017 |
| Estimating axon conduction velocity in vivo from microstructural MRI M Drakesmith, R Harms, SU Rudrapatna, GD Parker, CJ Evans, DK Jones Neuroimage 203, 116186, 2019 | 64 | 2019 |
| Digital biomarker‐based individualized prognosis for people at risk of dementia M Buegler, RL Harms, M Balasa, IB Meier, T Exarchos, L Rai, R Boyle, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 12 (1 …, 2020 | 52 | 2020 |
| Reproducible grey matter patterns index a multivariate, global alteration of brain structure in schizophrenia and bipolar disorder E Schwarz, NT Doan, G Pergola, LT Westlye, T Kaufmann, T Wolfers, ... Translational psychiatry 9 (1), 12, 2019 | 43 | 2019 |
| Compressed sensing diffusion spectrum imaging for accelerated diffusion microstructure MRI in long-term population imaging A Tobisch, R Stirnberg, RL Harms, T Schultz, A Roebroeck, MMB Breteler, ... Frontiers in neuroscience 12, 650, 2018 | 37 | 2018 |
| Robust and fast Markov chain Monte Carlo sampling of diffusion MRI microstructure models RL Harms, A Roebroeck Frontiers in neuroinformatics 12, 97, 2018 | 36 | 2018 |
| Using a Digital Neuro Signature to measure longitudinal individual-level change in Alzheimer’s disease: the Altoida large cohort study IB Meier, M Buegler, R Harms, A Seixas, A Çöltekin, I Tarnanas NPJ Digital Medicine 4 (1), 101, 2021 | 35 | 2021 |
| High resolution anatomical and quantitative MRI of the entire human occipital lobe ex vivo at 9.4 T S Sengupta, FJ Fritz, RL Harms, S Hildebrand, DHY Tse, BA Poser, ... Neuroimage 168, 162-171, 2018 | 33 | 2018 |
| Ultra-high resolution and multi-shell diffusion MRI of intact ex vivo human brains using kT-dSTEAM at 9.4 T FJ Fritz, S Sengupta, RL Harms, DH Tse, BA Poser, A Roebroeck Neuroimage 202, 116087, 2019 | 26 | 2019 |
| Estimating axon conduction velocity in vivo from microstructural MRI. NeuroImage, 203, Article 116186 M Drakesmith, R Harms, SU Rudrapatna, GD Parker, CJ Evans, DK Jones | 16 | 2019 |
| Digital biomarkers and sex impacts in Alzheimer’s disease management—potential utility for innovative 3P medicine approach RL Harms, A Ferrari, IB Meier, J Martinkova, E Santus, N Marino, D Cirillo, ... EPMA Journal 13 (2), 299-313, 2022 | 14 | 2022 |
| Multicompartmental models and diffusion abnormalities in paediatric mild traumatic brain injury AR Mayer, JM Ling, AB Dodd, DD Stephenson, S Pabbathi Reddy, ... Brain 145 (11), 4124-4137, 2022 | 7 | 2022 |
| Effect of optimised coil-combinations on high-resolution laminar fMRI at 9.4 T S Kashyap, FJ Fritz, RL Harms, L Huber, D Ivanov, A Roebroeck, ... Proc. Intl. Soc. Mag. Reson. Med 26, 2018 | 5 | 2018 |
| Associations of digital neuro-signatures with molecular and neuroimaging measures of brain resilience: The altoida large cohort study AA Seixas, F Rajabli, MA Pericak-Vance, G Jean-Louis, RL Harms, ... Frontiers in psychiatry 13, 899080, 2022 | 3 | 2022 |
| Fast quantification of uncertainty in non-linear diffusion MRI models for artifact detection and more power in group studies RL Harms, FJ Fritz, S Schoenmakers, A Roebroeck bioRxiv, 651547, 2019 | 3 | 2019 |
| The maastricht diffusion toolbox (mdt): Modular, gpu accelerated, dmri microstructure modeling RL Harms, A Roebroeck Proceedings of the International Society of Magnetic Resonance in Medicine, 1739, 2017 | 3 | 2017 |
| Augmented reality versus standard tests to assess cognition and function in early Alzheimer’s disease M Muurling, C de Boer, S Vairavan, RL Harms, AS Chadha, I Tarnanas, ... NPJ digital medicine 6 (1), 234, 2023 | 2 | 2023 |
| The impact of optimal RF coil combination on whole-brain sub-millimetre resolution perfusion imaging at 7T S Kashyap, D Ivanov, RAM Haast, FJ Fritz, RL Harms, L Huber Proceedings of the Annual Meeting of the International Society for Magnetic …, 2022 | 2 | 2022 |
| Evaluating digital device technology in Alzheimer’s disease via artificial intelligence M Sood, R Harms, M Bügler, I Tarnanas, N Coello, H Fröhlich Alzheimer's & Dementia 17, e053574, 2021 | 2 | 2021 |
| Can detection and prediction models for Alzheimer’s Disease be applied to Prodromal Parkinson’s Disease using explainable artificial intelligence? A brief report on Digital … I Tarnanas, P Vlamos, R Harms, RADAR-AD Consortium Open Research Europe 1, 2021 | 2 | 2021 |
Alard RoebroeckMaastricht UniversityVerified email at maastrichtuniversity.nl
