Markus Nilsson

According to our database1, Markus Nilsson authored at least 26 papers between 2004 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




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

The dot-compartment revealed? Diffusion MRI with ultra-strong gradients and spherical tensor encoding in the living human brain.
NeuroImage, 2020

Improved fibre dispersion estimation using b-tensor encoding.
NeuroImage, 2020

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

Imaging brain tumour microstructure.
NeuroImage, 2018

Assessing Tissue Heterogeneity by non-Gaussian Measures in a Permeable Environment.
Proceedings of the 26th European Signal Processing Conference, 2018

Neurite density imaging versus imaging of microscopic anisotropy in diffusion MRI: A model comparison using spherical tensor encoding.
NeuroImage, 2017

Q-space trajectory imaging for multidimensional diffusion MRI of the human brain.
NeuroImage, 2016

The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE).
NeuroImage, 2016

Quantification of microscopic diffusion anisotropy disentangles effects of orientation dispersion from microstructure: Applications in healthy volunteers and in brain tumors.
NeuroImage, 2015

Measurement Tensors in Diffusion MRI: Generalizing the Concept of Diffusion Encoding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Variability in diffusion kurtosis imaging: Impact on study design, statistical power and interpretation.
NeuroImage, 2013

Accuracy of q-Space Related Parameters in MRI: Simulations and Phantom Measurements.
IEEE Trans. Medical Imaging, 2007

Retrieving Heart Rate Sequences.
Int. J. Artif. Intell. Tools, 2006

Clinical decision-support for diagnosing stress-related disorders by applying psychophysiological medical knowledge to an instance-based learning system.
Artif. Intell. Medicine, 2006

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

Retrieving Short and Dynamic Biomedical Sequences.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

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

A Case-Based Classification of Respiratory Sinus Arrhythmia.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004