no code implementations • 27 Feb 2024 • Matthias Boeker, Vajira Thambawita, Michael Riegler, Pål Halvorsen, Hugo L. Hammer
A \gls{lstm} trained on the soft cross-entropy outperformed conventional sleep detection algorithms, other neural network architectures and loss functions in accuracy and model calibration.
1 code implementation • 6 Dec 2022 • Vajira Thambawita, Steven A. Hicks, Andrea M. Storås, Thu Nguyen, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo L. Hammer, Pål Halvorsen, Michael A. Riegler
A manual assessment of sperm motility requires microscopy observation, which is challenging due to the fast-moving spermatozoa in the field of view.
no code implementations • 30 May 2022 • Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen, Hugo L. Hammer
Missing data is a commonly occurring problem in practice.
no code implementations • 2 Sep 2021 • Andrea M. Storås, Inga Strümke, Michael A. Riegler, Jakob Grauslund, Hugo L. Hammer, Anis Yazidi, Pål Halvorsen, Kjell G. Gundersen, Tor P. Utheim, Catherine Jackson
Although the term `AI' is commonly used, recent success in its applications to medicine is mainly due to advancements in the sub-field of machine learning, which has been used to automatically classify images and predict medical outcomes.
4 code implementations • 29 Jun 2021 • Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal, Steven A. Hicks, Hugo L. Hammer, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler
The pipeline is evaluated using qualitative and quantitative comparisons between real and synthetic data to show that the style transfer technique used in our pipeline significantly improves the quality of the generated data and our method is better than other state-of-the-art GANs to prepare synthetic images when the size of training datasets are limited.
no code implementations • 13 May 2021 • Marco A. Pinto-Orellana, Habib Sherkat, Peyman Mirtaheri, Hugo L. Hammer
DASAR can provide a more accurate representation of the (highly contrasted) EEG and fNIRS frequency ranges by increasing the estimation accuracy in user-defined spectrum region of interest (SROI).
no code implementations • 13 May 2021 • Marco A. Pinto Orellana, Peyman Mirtaheri, Hugo L. Hammer
The complex-pole frequency representation (COFRE) is introduced in this paper as a new approach for spectrum modeling in biomedical signals.
no code implementations • 27 Apr 2020 • Hugo L. Hammer, Anis Yazidi, Michael A. Riegler, Håvard Rue
The MSE is decomposed in tracking variance and bias and novel and efficient procedures to estimate these quantities are presented.
no code implementations • 22 Jan 2020 • Marco A. Pinto-Orellana, Diego C. Nascimento, Peyman Mirtaheri, Rune Jonassen, Anis Yazidi, Hugo L. Hammer
In the current paper, we introduce a parametric data-driven model for functional near-infrared spectroscopy that decomposes a signal into a series of independent, rescaled, time-shifted, hemodynamic basis functions.
no code implementations • 29 Oct 2019 • Steven A. Hicks, Jorunn M. Andersen, Oliwia Witczak, Vajira Thambawita, Påll Halvorsen, Hugo L. Hammer, Trine B. Haugen, Michael A. Riegler
In the field of male human reproduction, clinical and biological data are not used to its fullest potential.