1 code implementation • 24 Jan 2024 • Charles Meyers, Mohammad Reza Saleh Sedghpour, Tommy Löfstedt, Erik Elmroth
Convolutional neural networks have shown to be widely applicable to a large number of fields when large amounts of labelled data are available.
1 code implementation • 21 Jul 2023 • Lorenzo Tronchin, Minh H. Vu, Paolo Soda, Tommy Löfstedt
Data Augmentation (DA) is a technique to increase the quantity and diversity of the training data, and by that alleviate overfitting and improve generalisation.
no code implementations • 20 Oct 2022 • Attila Simko, Anders Garpebring, Joakim Jonsson, Tufve Nyholm, Tommy Löfstedt
We have evaluated all accepted full paper submissions to MIDL between 2018 and 2022 using established, but slightly adjusted guidelines on reproducibility and the quality of the public repositories.
no code implementations • 22 Apr 2021 • Minh H. Vu, Gabriella Norman, Tufve Nyholm, Tommy Löfstedt
Among different types of deep learning models, convolutional neural networks have been among the most successful and they have been used in many applications in medical imaging.
no code implementations • 16 Nov 2020 • Minh H. Vu, Tufve Nyholm, Tommy Löfstedt
Automatic segmentation of brain glioma from multimodal MRI scans plays a key role in clinical trials and practice.
1 code implementation • 2 Mar 2020 • Minh H. Vu, Tommy Löfstedt, Tufve Nyholm, Raphael Sznitman
Deep learning methods have proven extremely effective at performing a variety of medical image analysis tasks.
no code implementations • 19 Dec 2019 • Minh H. Vu, Guus Grimbergen, Tufve Nyholm, Tommy Löfstedt
In this study, we systematically evaluate the segmentation performance and computational costs of this pseudo-3D approach as a function of the number of input slices, and compare the results to conventional end-to-end 2D and 3D CNNs.
no code implementations • 16 Oct 2019 • Minh H. Vu, Guus Grimbergen, Attila Simkó, Tufve Nyholm, Tommy Löfstedt
Kidney tumor segmentation emerges as a new frontier of computer vision in medical imaging.
no code implementations • 11 Oct 2019 • Minh H. Vu, Tufve Nyholm, Tommy Löfstedt
Glioma is one of the most common types of brain tumors; it arises in the glial cells in the human brain and in the spinal cord.
no code implementations • 29 Oct 2016 • Tommy Löfstedt, Fouad Hadj-Selem, Vincent Guillemot, Cathy Philippe, Nicolas Raymond, Edouard Duchesney, Vincent Frouin, Arthur Tenenhaus
However, for technical reasons, the variable selection offered by SGCCA was restricted to a covariance link between the blocks (i. e., with $\tau=1$).
no code implementations • 6 Sep 2016 • Amicie de Pierrefeu, Tommy Löfstedt, Fouad Hadj-Selem, Mathieu Dubois, Philippe Ciuciu, Vincent Frouin, Edouard Duchesnay
However, in neuroimaging, it is essential to uncover clinically interpretable phenotypic markers that would account for the main variability in the brain images of a population.