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Journal Article (3)

2020
Journal Article
Guidi, M., Huber, L., Lampe, L., Merola, A., Ihle, K., & Möller, H. E. (2020). Cortical laminar resting‐state signal fluctuations scale with the hypercapnic blood oxygenation level‐dependent response. Human Brain Mapping. doi:10.1002/hbm.24926
2018
Journal Article
Merola, A., Germuska, M. A., Murphy, K., & Wise, R. G. (2018). Assessing the repeatability of absolute CMRO2, OEF and haemodynamic measurements from calibrated fMRI. NeuroImage, 173, 113–126.
2016
Journal Article
Merola, A., Murphy, K., Stone, A. J., Germuska, M. A., Griffeth, V. E. M., Blockley, N. P., … Wise, R. G. (2016). Measurement of oxygen extraction fraction (OEF): An optimized BOLD signal model for use with hypercapnic and hyperoxic calibration. NeuroImage, 129, 159–174.

Conference Paper (2)

2020
Conference Paper
Pirkl, C. M., Gómez, P. A., Lipp, I., Buonincontri, G., Molina-Romero, M., Sekuboyina, A., … Menze, B. H. (2020). Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting. In Proceedings of Machine Learning Research (pp. 1–17).
2019
Conference Paper
Kloenne, M., Niehaus, S., Lampe, L., Merola, A., Reinelt, J., & Scherf, N. (2019). Convolutional neural network stacking for medical image segmentation in CT scans. In 2019 Kidney Tumor Segmentation Challenge. Minneapolis, MN: University of Minnesota Libraries Publishing. doi:10.24926/548719.090

Talk (1)

2016
Talk
Merola, A. The acute effects of caffeine on brain oxygen metabolism: A dual calibrated FMRI study. Talk_at_event presented at the 24th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Singapore. Retrieved from http://hdl.handle.net/11858/00-001M-0000-002B-7850-F

Poster (1)

2016
Poster
Merola, A. Acute effects of caffeine on grey matter haemodynamics. Poster presented at the 24th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Singapore. Retrieved from http://hdl.handle.net/11858/00-001M-0000-002B-78E4-1

Manuscript (1)

2019
Manuscript
Kloenne, M., Niehaus, S., Lampe, L., Merola, A., Reinelt, J., & Scherf, N. (2019, September 27). A framework for CT image segmentation inspired by the clinical environment. arXiv. Retrieved from http://hdl.handle.net/21.11116/0000-0004-C770-D
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