Filip Szczepankiewicz

According to our database, Filip Szczepankiewicz authored at least 21 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Diffusion MRI with free gradient waveforms on a high-performance gradient system: Probing restriction and exchange in the human brain.

Arthur Chakwizira, Ante Zhu, Thomas K. F. Foo, Carl-Fredrik Westin, Filip Szczepankiewicz, Markus Nilsson

NeuroImage, December, 2023

Probing brain tissue microstructure with MRI: principles, challenges, and the role of multidimensional diffusion-relaxation encoding.

Björn Lampinen, Filip Szczepankiewicz, Jimmy Lätt, Linda Knutsson, Johan Mårtensson, Isabella M. Björkman-Burtscher, Danielle van Westen, Pia C. Sundgren, Freddy Ståhlberg, Markus Nilsson

NeuroImage, November, 2023

Improving the Resolution and SNR of Diffusion Magnetic Resonance Images From a Low-Field Scanner.

Jakub Jurek, Kamil Ludwisiak, Andrzej Materka, Filip Szczepankiewicz

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.

Jakub Jurek, Andrzej Materka, Kamil Ludwisiak, Agata Majos, Filip Szczepankiewicz

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Microstructural neuroimaging using spherical convolutional neural networks.

Leevi Kerkelä, Kiran K. Seunarine, Filip Szczepankiewicz, Chris A. Clark

CoRR, 2022

2021

Accuracy and precision in super-resolution MRI: Enabling spherical tensor diffusion encoding at ultra-high b-values and high resolution.

Geraline Vis, Markus Nilsson, Carl-Fredrik Westin, Filip Szczepankiewicz

NeuroImage, 2021

Neural networks for parameter estimation in microstructural MRI: Application to a diffusion-relaxation model of white matter.

João P. de Almeida Martins, Markus Nilsson, Björn Lampinen, Marco Palombo, Peter T. While, Carl-Fredrik Westin, Filip Szczepankiewicz

NeuroImage, 2021

Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding.

Leevi Kerkelä, Fabio Nery, Ross Callaghan, Fenglei Zhou, Noemi G. Gyori, Filip Szczepankiewicz, Marco Palombo, Geoff J. M. Parker, Hui Zhang, Matt G. Hall, Chris A. Clark

NeuroImage, 2021

Multi-tissue spherical deconvolution of tensor-valued diffusion MRI.

Ben Jeurissen, Filip Szczepankiewicz

NeuroImage, 2021

Magic DIAMOND: Multi-fascicle diffusion compartment imaging with tensor distribution modeling and tensor-valued diffusion encoding.

Alexis Reymbaut, Alex Valcourt Caron, Guillaume Gilbert, Filip Szczepankiewicz, Markus Nilsson, Simon K. Warfield, Maxime Descoteaux, Benoit Scherrer

Medical Image Anal., 2021

2020

Joint RElaxation-Diffusion Imaging Moments to Probe Neurite Microstructure.

Lipeng Ning, Borjan A. Gagoski, Filip Szczepankiewicz, Carl-Fredrik Westin, Yogesh Rathi

IEEE Trans. Medical Imaging, 2020

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

Chantal M. W. Tax, Filip Szczepankiewicz, Markus Nilsson, Derek K. Jones

NeuroImage, 2020

Improved fibre dispersion estimation using b-tensor encoding.

Michiel Cottaar, Filip Szczepankiewicz, Matteo Bastiani, Moisés Hernández-Fernández, Stamatios N. Sotiropoulos, Markus Nilsson, Saâd Jbabdi

NeuroImage, 2020

2018

Imaging brain tumour microstructure.

Markus Nilsson, Elisabet Englund, Filip Szczepankiewicz, Danielle van Westen, Pia C. Sundgren

NeuroImage, 2018

2017

Separating blood and water: Perfusion and free water elimination from diffusion MRI in the human brain.

Anna S. Rydhög, Filip Szczepankiewicz, Ronnie Wirestam, André Ahlgren, Carl-Fredrik Westin, Linda Knutsson, Ofer Pasternak

NeuroImage, 2017

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

Björn Lampinen, Filip Szczepankiewicz, Johan Mårtensson, Danielle van Westen, Pia C. Sundgren, Markus Nilsson

NeuroImage, 2017

2016

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

Carl-Fredrik Westin, Hans Knutsson, Ofer Pasternak, Filip Szczepankiewicz, Evren Özarslan, Danielle van Westen, Cecilia Mattisson, Mats Bogren, Lauren J. O'Donnell, Marek Kubicki, Daniel Topgaard, Markus Nilsson

NeuroImage, 2016

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

Filip Szczepankiewicz, Danielle van Westen, Elisabet Englund, Carl-Fredrik Westin, Freddy Ståhlberg, Jimmy Lätt, Pia C. Sundgren, Markus Nilsson

NeuroImage, 2016

2015

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

Filip Szczepankiewicz, Samo Lasic, Danielle van Westen, Pia C. Sundgren, Elisabet Englund, Carl-Fredrik Westin, Freddy Ståhlberg, Jimmy Lätt, Daniel Topgaard, Markus Nilsson

NeuroImage, 2015

2014

Measurement Tensors in Diffusion MRI: Generalizing the Concept of Diffusion Encoding.

Carl-Fredrik Westin, Filip Szczepankiewicz, Ofer Pasternak, Evren Özarslan, Daniel Topgaard, Hans Knutsson, Markus Nilsson

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.

Filip Szczepankiewicz, Jimmy Lätt, Ronnie Wirestam, Alexander Leemans, Pia C. Sundgren, Danielle van Westen, Freddy Ståhlberg, Markus Nilsson

NeuroImage, 2013