Filip Szczepankiewicz
Orcid: 0000-0002-5251-587X
According to our database1,
Filip Szczepankiewicz
authored at least 23 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2024
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
Improving the Resolution and SNR of Diffusion Magnetic Resonance Images From a Low-Field Scanner.
Proceedings of the Latest Developments and Challenges in Biomedical Engineering, 2023
Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images Using Neural Networks.
Proceedings of the Computational Science - ICCS 2023, 2023
2022
CoRR, 2022
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
Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding.
NeuroImage, 2021
NeuroImage, 2021
Magic DIAMOND: Multi-fascicle diffusion compartment imaging with tensor distribution modeling and tensor-valued diffusion encoding.
Medical Image Anal., 2021
2020
IEEE Trans. Medical Imaging, 2020
The dot-compartment revealed? Diffusion MRI with ultra-strong gradients and spherical tensor encoding in the living human brain.
NeuroImage, 2020
2018
2017
Separating blood and water: Perfusion and free water elimination from diffusion MRI in the human brain.
NeuroImage, 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