Sigurður Sigurðsson

发表

Pruning the vocabulary for better context recognition

Lars Kai Hansen, Jan Larsen, Rasmus Elsborg Madsen, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Modeling text with generalizable Gaussian mixtures

Lars Kai Hansen, Jan Larsen, Finn Årup Nielsen, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect

Jesper Jensen, Zheng-Hua Tan, Daniel Michelsanti, 2019, Speech Commun..

Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder

Vilmundur Gudnason, Lotta Maria Ellingsen, Sigurður Sigurðsson, 2018, Medical Imaging: Image Processing.

On the Relevance of Spectral Features for Instrument Classification

Lars Kai Hansen, Jerónimo Arenas-García, Andreas Brinch Nielsen, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Large-scale parcellation of the ventricular system using convolutional neural networks

Jerry L. Prince, Vilmundur Gudnason, Muhan Shao, 2019, Medical Imaging.

Effects of Lombard Reflex on the Performance of Deep-learning-based Audio-visual Speech Enhancement Systems

Jesper Jensen, Zheng-Hua Tan, Daniel Michelsanti, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Detection of skin cancer by classification of Raman spectra

Lars Kai Hansen, Jan Larsen, Monika Gniadecka, 2004, IEEE Transactions on Biomedical Engineering.

On Training Targets and Objective Functions for Deep-learning-based Audio-visual Speech Enhancement

Jesper Jensen, Zheng-Hua Tan, Daniel Michelsanti, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The AGES‐Reykjavik study atlases: Non‐linear multi‐spectral template and atlases for studies of the ageing brain

Jesper Fredriksson, Alex P. Zijdenbos, Mark A. van Buchem, 2017, Medical Image Anal..

Localized measures of callosal atrophy are associated with late-life hypertension: AGES–Reykjavik Study

Paul M. Thompson, Owen T. Carmichael, Oscar L. Lopez, 2008, NeuroImage.

Brain tissue volumes in the general population of the elderly The AGES-Reykjavik Study

Jesper Fredriksson, Alex P. Zijdenbos, Mark A. van Buchem, 2012, NeuroImage.

Mel Frequency Cepstral Coefficients: An Evaluation of Robustness of MP3 Encoded Music

Kaare Brandt Petersen, Sigurður Sigurðsson, Tue Lehn-Schiøler, 2006, ISMIR.

Outlier estimation and detection application to skin lesion classification

Lars Kai Hansen, Jan Larsen, Sigurður Sigurðsson, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Automated femur segmentation from computed tomography images using a deep neural network pdf

Vilmundur Gudnason, Lotta Maria Ellingsen, Sigurður Sigurðsson, 2021, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Advanced quantitative methods in correlating sarcopenic muscle degeneration with lower extremity function biometrics and comorbidities

Sigurður Sigurðsson, Paolo Gargiulo, Kyle Edmunds, 2018, PloS one.

Large Perivascular Spaces Visible on Magnetic Resonance Imaging, Cerebral Small Vessel Disease Progression, and Risk of Dementia: The Age, Gene/Environment Susceptibility–Reykjavik Study

Oscar L. Lopez, Lenore J. Launer, Sigurður Sigurðsson, 2017, JAMA neurology.