Publikationen von Alberto Merola

Guidi, M.; Huber, L.; Lampe, L.; Merola, A.; Ihle, K.; Möller, H. E.: Cortical laminar resting‐state signal fluctuations scale with the hypercapnic blood oxygenation level‐dependent response. Human Brain Mapping 41 (8), S. 2014 - 2027 (2020)

Merola, A.; Germuska, M. A.; Murphy, K.; Wise, R. G.: Assessing the repeatability of absolute CMRO2, OEF and haemodynamic measurements from calibrated fMRI. NeuroImage 173, S. 113 - 126 (2018)

Merola, A.; Murphy, K.; Stone, A. J.; Germuska, M. A.; Griffeth, V. E. M.; Blockley, N. P.; Buxton, R. B.; Wise, R. G.: Measurement of oxygen extraction fraction (OEF): An optimized BOLD signal model for use with hypercapnic and hyperoxic calibration. NeuroImage 129, S. 159 - 174 (2016)

Pirkl, C. M.; Gómez, P. A.; Lipp, I.; Buonincontri, G.; Molina-Romero, M.; Sekuboyina, A.; Waldmannstetter, D.; Dannenberg, J.; Endt, S.; Merola, A. et al.; Whittaker, J. R.; Tomassini, V.; Tosetti, M.; Jones, D. K.; Menze, B. H.: Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting. In: Proceedings of Machine Learning Research, S. 1 - 17. (2020)

Kloenne, M.; Niehaus, S.; Lampe, L.; Merola, A.; Reinelt, J.; Scherf, N.: Convolutional neural network stacking for medical image segmentation in CT scans. In: 2019 Kidney Tumor Segmentation Challenge. MICCAI 2019, Shenzhen, China, 13. Oktober 2019 - 19. Oktober 2019. University of Minnesota Libraries Publishing, Minneapolis, MN (2019)

Merola, A.: The acute effects of caffeine on brain oxygen metabolism: A dual calibrated FMRI study. 24th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Singapore (2016)

Merola, A.: Acute effects of caffeine on grey matter haemodynamics. 24th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Singapore (2016)

Kloenne, M.; Niehaus, S.; Lampe, L.; Merola, A.; Reinelt, J.; Scherf, N.: A framework for CT image segmentation inspired by the clinical environment. arXiv (2019)

Williams, E.; Kienast, M.; Medawar, E.; Reinelt, J.; Merola, A.; Klopfenstein, S. A. I.; Flint, A. R.; Heeren, P.; Poncette, A.-S.; Balzer, F. et al.; Beimes, J.; von Bünau, P.; Chromik, J.; Arnrich, B.; Scherf, N.; Niehaus, S.: FHIR-DHP: A standardized clinical data harmonisation pipeline for scalable AI application deployment. medRxiv (2022)