Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Nikos Paragios

Nikos Paragios

Exploring Deep Registration Latent Spaces

Jul 23, 2021
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch

Figure 1 for Exploring Deep Registration Latent Spaces

Figure 2 for Exploring Deep Registration Latent Spaces

Figure 3 for Exploring Deep Registration Latent Spaces

Figure 4 for Exploring Deep Registration Latent Spaces

* 13 pages, 5 figures + 3 figures in supplementary materials Accepted to DART 2021 workshop

Access Paper or Ask Questions

Sparse convolutional context-aware multiple instance learning for whole slide image classification

May 06, 2021
Marvin Lerousseau, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch

Figure 1 for Sparse convolutional context-aware multiple instance learning for whole slide image classification

Figure 2 for Sparse convolutional context-aware multiple instance learning for whole slide image classification

Figure 3 for Sparse convolutional context-aware multiple instance learning for whole slide image classification

Figure 4 for Sparse convolutional context-aware multiple instance learning for whole slide image classification

Access Paper or Ask Questions

Top 10 BraTS 2020 challenge solution: Brain tumor segmentation with self-ensembled, deeply-supervised 3D-Unet like neural networks

Oct 30, 2020
Theophraste Henry, Alexandre Carre, Marvin Lerousseau, Theo Estienne, Charlotte Robert, Nikos Paragios, Eric Deutsch

Figure 1 for Top 10 BraTS 2020 challenge solution: Brain tumor segmentation with self-ensembled, deeply-supervised 3D-Unet like neural networks

Figure 2 for Top 10 BraTS 2020 challenge solution: Brain tumor segmentation with self-ensembled, deeply-supervised 3D-Unet like neural networks

Figure 3 for Top 10 BraTS 2020 challenge solution: Brain tumor segmentation with self-ensembled, deeply-supervised 3D-Unet like neural networks

Figure 4 for Top 10 BraTS 2020 challenge solution: Brain tumor segmentation with self-ensembled, deeply-supervised 3D-Unet like neural networks

* BraTS 2020 proceedings (LNCS) paper

Access Paper or Ask Questions