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Auto-nnU-Net: Towards Automated Medical Image Segmentation

Auto-nnU-Net: Towards Automated Medical Image Segmentation

22 May 2025
Jannis Becktepe
Leona Hennig
Steffen Oeltze-Jafra
Marius Lindauer
ArXivPDFHTML

Papers citing "Auto-nnU-Net: Towards Automated Medical Image Segmentation"

14 / 14 papers shown
Title
Feasibility of Federated Learning from Client Databases with Different
  Brain Diseases and MRI Modalities
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
Felix Wagner
Wentian Xu
Pramit Saha
Ziyun Liang
Daniel Whitehouse
David Menon
Virginia Newcombe
Natalie Voets
J. A. Noble
Konstantinos Kamnitsas
56
5
0
17 Jun 2024
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Chaitanya K. Ryali
Yuan-Ting Hu
Daniel Bolya
Chen Wei
Haoqi Fan
...
Omid Poursaeed
Judy Hoffman
Jitendra Malik
Yanghao Li
Christoph Feichtenhofer
3DH
57
171
0
01 Jun 2023
Zero-Shot AutoML with Pretrained Models
Zero-Shot AutoML with Pretrained Models
Ekrem Öztürk
Fabio Ferreira
H. Jomaa
Lars Schmidt-Thieme
Josif Grabocka
Frank Hutter
VLM
60
10
0
16 Jun 2022
Multi-objective Asynchronous Successive Halving
Multi-objective Asynchronous Successive Halving
Robin Schmucker
Michele Donini
Muhammad Bilal Zafar
David Salinas
Cédric Archambeau
45
25
0
23 Jun 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
76
40,217
0
22 Oct 2020
V-NAS: Neural Architecture Search for Volumetric Medical Image
  Segmentation
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
Zhuotun Zhu
Chenxi Liu
Dong Yang
Alan Yuille
Daguang Xu
39
105
0
06 Jun 2019
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
61
846
0
25 Feb 2019
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
125
4,326
0
24 Jun 2018
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
165
8,030
0
13 Aug 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
142
5,502
0
23 Nov 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
575
76,547
0
18 May 2015
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Kevin Jamieson
Ameet Talwalkar
72
570
0
27 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
42
18,534
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
142
149,474
0
22 Dec 2014
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