v1v2v3 (latest)

Auto-nnU-Net: Towards Automated Medical Image Segmentation

22 May 2025

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

33 / 33 papers shown

Title
Segment Anything in Medical Images and Videos: Benchmark and Deployment Jun Ma Sumin Kim Feifei Li Mohammed Baharoon Reza Asakereh Hongwei Lyu Bo Wang VLM MedIm 104 41 0 06 Aug 2024
SAM 2: Segment Anything in Images and Videos Nikhila Ravi Valentin Gabeur Yuan-Ting Hu Ronghang Hu Chaitanya K. Ryali ... Nicolas Carion Chao-Yuan Wu Ross B. Girshick Piotr Dollár Christoph Feichtenhofer VLM MLLM 172 949 0 01 Aug 2024
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 95 5 0 17 Jun 2024
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning Neeratyoy Mallik Eddie Bergman Carl Hvarfner Daniel Stoll Maciej Janowski Marius Lindauer Luigi Nardi Frank Hutter 110 27 0 21 Jun 2023
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 128 188 0 01 Jun 2023
MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization Noor H. Awad Ayush Sharma Philipp Muller Janek Thomas Frank Hutter 88 2 0 08 May 2023
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars Simon Schrodi Daniel Stoll Binxin Ru R. Sukthanker Thomas Brox Frank Hutter 122 5 0 03 Nov 2022
Zero-Shot AutoML with Pretrained Models Ekrem Öztürk Fabio Ferreira H. Jomaa Lars Schmidt-Thieme Josif Grabocka Frank Hutter VLM 115 10 0 16 Jun 2022
RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation Qing Lu Xiaowei Xu Shunjie Dong Callie Hao Lei Yang Cheng Zhuo Yiyu Shi MedIm 100 5 0 08 Jun 2022
$π$ BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization Carl Hvarfner Daniel Stoll Artur L. F. Souza Marius Lindauer Frank Hutter Luigi Nardi 99 71 0 23 Apr 2022
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging Dong Yang Andriy Myronenko Xiaosong Wang Ziyue Xu H. Roth Daguang Xu ViT MedIm 3DV 66 24 0 15 Nov 2021
Multi-objective Asynchronous Successive Halving Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau 96 25 0 23 Jun 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Frank Hutter AI4CE 81 27 0 03 May 2021
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation Yufan He Dong Yang H. Roth Can Zhao Daguang Xu MedIm 74 64 0 29 Mar 2021
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 772 41,884 0 22 Oct 2020
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation Dong Yang H. Roth Ziyue Xu Fausto Milletari Ling Zhang Daguang Xu 79 47 0 10 Jun 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 225 635 0 13 Mar 2020
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation Qihang Yu Dong Yang H. Roth Yutong Bai Yixiao Zhang Alan Yuille Daguang Xu 110 109 0 20 Dec 2019
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation Zhuotun Zhu Chenxi Liu Dong Yang Alan Yuille Daguang Xu 95 106 0 06 Jun 2019
The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes N. Heller N. Sathianathen A. Kalapara E. Walczak K. Moore ... M. Peterson Shaneabbas Raza S. Regmi Nikolaos Papanikolopoulos C. Weight 85 412 0 31 Mar 2019
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 143 863 0 25 Feb 2019
Learning Multiple Defaults for Machine Learning Algorithms Florian Pfisterer Jan N. van Rijn Philipp Probst Andreas Müller B. Bischl 107 27 0 23 Nov 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Arber Zela Aaron Klein Stefan Falkner Frank Hutter 82 161 0 18 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 214 4,384 0 24 Jun 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 760 10,886 0 19 Feb 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 378 8,210 0 13 Aug 2016
Instance Normalization: The Missing Ingredient for Fast Stylization Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 245 3,718 0 27 Jul 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 321 5,545 0 23 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 2.1K 77,820 0 18 May 2015
Non-stochastic Best Arm Identification and Hyperparameter Optimization Kevin Jamieson Ameet Talwalkar 223 579 0 27 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 764 43,416 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 573 18,688 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.5K 150,696 0 22 Dec 2014