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VINNA for Neonates -- Orientation Independence through Latent Augmentations
29 November 2023
Leonie Henschel
David Kügler
Lilla Zöllei
Martin Reuter
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Papers citing
"VINNA for Neonates -- Orientation Independence through Latent Augmentations"
5 / 5 papers shown
Title
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedIm
LM&MA
147
427
0
09 Mar 2020
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
Jose Dolz
Christian Desrosiers
Li Wang
Jing Yuan
Dinggang Shen
Ismail Ben Ayed
3DV
48
113
0
14 Dec 2017
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger
M. Reuter
T. Klein
3DV
42
330
0
27 Feb 2017
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
185
7,339
0
05 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
390
75,972
0
18 May 2015
1