ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.17546
  4. Cited By
VINNA for Neonates -- Orientation Independence through Latent
  Augmentations

VINNA for Neonates -- Orientation Independence through Latent Augmentations

29 November 2023
Leonie Henschel
David Kügler
Lilla Zöllei
Martin Reuter
ArXivPDFHTML

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
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
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
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger
M. Reuter
T. Klein
3DV
44
330
0
27 Feb 2017
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
197
7,339
0
05 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
411
75,972
0
18 May 2015
1