17 citations · 20 across the 5 of their papers we have counts for
5 papers
Multi-compartment diffusion-relaxation MR signal representation in the spherical 3D-SHORE basis
Fabian Bogusz, Tomasz Pieciak
Modelling the diffusion-relaxation magnetic resonance (MR) signal obtained from multi-parametric sequences has recently gained immense interest in the community due to new techniqu…
MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI
Nancy R. Newlin, Kurt Schilling, Serge Koudoro +33
White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
Glioma Classification Using Multimodal Radiology and Histology Data
Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali +2
Gliomas are brain tumours with a high mortality rate. There are various grades and sub-types of this tumour, and the treatment procedure varies accordingly. Clinicians and oncologi…
Q-space quantitative diffusion MRI measures using a stretched-exponential representation
Tomasz Pieciak, Maryam Afzali, Fabian Bogusz +2
Diffusion magnetic resonance imaging (dMRI) is a relatively modern technique used to study tissue microstructure in a non-invasive way. Non-Gaussian diffusion representation is rel…