9 citations · 18 across the 6 of their papers we have counts for
6 papers
Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning
Kevin A. Thomas, Dominik Krzemiński, Łukasz Kidziński +7
Objective: We evaluate a fully-automated femoral cartilage segmentation model for measuring T2 relaxation values and longitudinal changes using multi-echo spin echo (MESE) MRI. We…
Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays
Łukasz Kidziński, Francis K. C. Hui, David I. Warton +1
Unmeasured or latent variables are often the cause of correlations between multivariate measurements, which are studied in a variety of fields such as psychology, ecology, and medi…
Modeling longitudinal data using matrix completion
Łukasz Kidziński, Trevor Hastie
In clinical practice and biomedical research, measurements are often collected sparsely and irregularly in time while the data acquisition is expensive and inconvenient. Examples i…
Principal component analysis of periodically correlated functional time series
Łukasz Kidziński, Piotr Kokoszka, Neda Mohammadi Jouzdani
Within the framework of functional data analysis, we develop principal component analysis for periodically correlated time series of functions. We define the components of the abov…
Dynamic Functional Principal Component
Siegfried Hörmann, Łukasz Kidziński, Marc Hallin
In this paper, we address the problem of dimension reduction for time series of functional data . Such {\it functional time series} frequently arise, e.…
A note on estimation in Hilbertian linear models
Siegfried Hörmann, Łukasz Kidziński
We study estimation and prediction in linear models where the response and the regressor variable both take values in some Hilbert space. Our main objective is to obtain consistenc…