| Mapping the pharmacological modulation of brain oxygen metabolism: The effects of caffeine on absolute CMRO2 measured using dual calibrated fMRI A Merola, MA Germuska, EAH Warnert, L Richmond, D Helme, S Khot, ... Neuroimage 155, 331-343, 2017 | 50 | 2017 |
| A forward modelling approach for the estimation of oxygen extraction fraction by calibrated fMRI M Germuska, A Merola, K Murphy, A Babic, L Richmond, S Khot, JE Hall, ... Neuroimage 139, 313-323, 2016 | 46 | 2016 |
| Measurement of oxygen extraction fraction (OEF): An optimized BOLD signal model for use with hypercapnic and hyperoxic calibration A Merola, K Murphy, AJ Stone, MA Germuska, VEM Griffeth, NP Blockley, ... Neuroimage 129, 159-174, 2016 | 42 | 2016 |
| Assessing the repeatability of absolute CMRO2, OEF and haemodynamic measurements from calibrated fMRI A Merola, MA Germuska, K Murphy, RG Wise Neuroimage 173, 113-126, 2018 | 24 | 2018 |
| Cortical laminar resting‐state signal fluctuations scale with the hypercapnic blood oxygenation level‐dependent response M Guidi, L Huber, L Lampe, A Merola, K Ihle, HE Möller Human Brain Mapping 41 (8), 2014-2027, 2020 | 21 | 2020 |
| Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting CM Pirk, PA Gómez, I Lipp, G Buonincontri, M Molina-Romero, ... Medical Imaging with Deep Learning, 638-654, 2020 | 14 | 2020 |
| Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes L Lampe, S Niehaus, HJ Huppertz, A Merola, J Reinelt, K Mueller, ... Alzheimer's research & therapy 14 (1), 62, 2022 | 13 | 2022 |
| Domain-specific cues improve robustness of deep learning-based segmentation of CT volumes M Kloenne, S Niehaus, L Lampe, A Merola, J Reinelt, I Roeder, N Scherf Scientific reports 10 (1), 10712, 2020 | 11 | 2020 |
| A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability study E Williams, M Kienast, E Medawar, J Reinelt, A Merola, SAI Klopfenstein, ... JMIR Medical Informatics 11, e43847, 2023 | 6 | 2023 |
| Modelling the laminar GRE-‐BOLD signal: integrating anatomical, physiological and methodological determinants A Merola, N Weiskopf | 6 | 2018 |
| The basics of functional magnetic resonance imaging R Deichmann, U Nöth, A Merola, N Weiskopf EEG-fMRI: Physiological Basis, Technique, and Applications, 49-77, 2023 | 2 | 2023 |
| Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows E Williams, S Niehaus, J Reinelt, A Merola, PG Mihai, K Villringer, ... arXiv preprint arXiv:2112.03277, 2021 | 2 | 2021 |
| Quality control for more reliable integration of deep learning-based image segmentation into medical workflows E Williams, S Niehaus, J Reinelt, A Merola, PG Mihai, I Roeder, N Scherf, ... | 2 | 2021 |
| Assessing the repeatability of absolute CMRO2 measurements from calibrated fMRI A Merola, MA Germuska, K Murphy, RG Wise ISMRM 25th Annual Meeting Honolulu, HI. USA, 2017 | 1 | 2017 |
| Development of MRI methods to map cerebral metabolic oxygen consumption in humans A Merola Cardiff University, 2016 | 1 | 2016 |
| A Bayesian framework for the estimation of OEF by calibrated MRI M Germuska, A Merola, A Stone, K Murphy, R Wise 23rd ISMRM Annual Meeting, 2015 | 1 | 2015 |
| An optimised respiratory paradigm for the Bayesian estimation of OEF by calibrated MRI M Germuska, A Merola, K Murphy, RG Wise Imaging Cereb. Physiol. Leipz. Meet. Manip. Magn. Reson. contrast through …, 2014 | 1 | 2014 |
| FHIR-DHP: A Standardized Clinical Data Harmonisation Pipeline for scalable AI application deployment E Williams, M Kienast, E Medawar, J Reinelt, A Merola, ... medRxiv, 2022.11. 07.22281564, 2022 | | 2022 |
| A framework for CT image segmentation inspired by the clinical environment M Kloenne, S Niehaus, L Lampe, A Merola, J Reinelt, N Scherf arXiv preprint arXiv:1907.10132, 2019 | | 2019 |
| Convolutional neural network stacking for medical image segmentation in CT scans M Kloenne, S Niehaus, L Lampe, A Merola, N Scherf University of Minnesota Libraries Publishing, 2019 | | 2019 |
