Markus Nilsson
Orcid: 0000-0002-3140-8223
According to our database1,
Markus Nilsson
authored at least 28 papers
between 2004 and 2023.
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Bibliography
2023
Diffusion MRI with free gradient waveforms on a high-performance gradient system: Probing restriction and exchange in the human brain.
NeuroImage, December, 2023
Probing brain tissue microstructure with MRI: principles, challenges, and the role of multidimensional diffusion-relaxation encoding.
NeuroImage, November, 2023
2021
Accuracy and precision in super-resolution MRI: Enabling spherical tensor diffusion encoding at ultra-high b-values and high resolution.
NeuroImage, 2021
Neural networks for parameter estimation in microstructural MRI: Application to a diffusion-relaxation model of white matter.
NeuroImage, 2021
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge.
NeuroImage, 2021
SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI.
NeuroImage, 2021
Magic DIAMOND: Multi-fascicle diffusion compartment imaging with tensor distribution modeling and tensor-valued diffusion encoding.
Medical Image Anal., 2021
2020
The dot-compartment revealed? Diffusion MRI with ultra-strong gradients and spherical tensor encoding in the living human brain.
NeuroImage, 2020
2019
Monte Carlo Simulations of Water Exchange Through Myelin Wraps: Implications for Diffusion MRI.
IEEE Trans. Medical Imaging, 2019
Generating Diffusion MRI Scalar Maps from T1 Weighted Images Using Generative Adversarial Networks.
Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019
2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Neurite density imaging versus imaging of microscopic anisotropy in diffusion MRI: A model comparison using spherical tensor encoding.
NeuroImage, 2017
2016
NeuroImage, 2016
The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE).
NeuroImage, 2016
2015
Quantification of microscopic diffusion anisotropy disentangles effects of orientation dispersion from microstructure: Applications in healthy volunteers and in brain tumors.
NeuroImage, 2015
2014
Measurement Tensors in Diffusion MRI: Generalizing the Concept of Diffusion Encoding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
Variability in diffusion kurtosis imaging: Impact on study design, statistical power and interpretation.
NeuroImage, 2013
2007
IEEE Trans. Medical Imaging, 2007
2006
Clinical decision-support for diagnosing stress-related disorders by applying psychophysiological medical knowledge to an instance-based learning system.
Artif. Intell. Medicine, 2006
2005
Clinical Decision Support by Time Series Classification Using Wavelets.
Proceedings of the ICEIS 2005, 2005
Detecting Breaths in Capnography Time Series.
Proceedings of the 6th International Conference on Case-Based Reasoning, 2005
Knowledge Discovery and Case Based Reasoning in Medical Applications with Time Series.
Proceedings of the 6th International Conference on Case-Based Reasoning, 2005
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005
2004
Advancements and Trends in Medical Case-Based Reasoning: An Overview of Systems and System Development.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004