Hyperparameter-Free Medical Image Synthesis for Sharing Data and
Improving Site-Specific Segmentation

Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation

9 April 2024

Peter A. N. Bosman

Tanja Alderliesten

ArXiv (abs)PDF HTML Github (2★)

Papers citing "Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation"

19 / 19 papers shown

Title
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation Kun Han Yifeng Xiong Chenyu You Pooya Khosravi Shanlin Sun Xiangyi Yan James Duncan Xiaohui Xie MedIm DiffM 63 22 0 08 Apr 2023
Reproducible scaling laws for contrastive language-image learning Mehdi Cherti Romain Beaumont Ross Wightman Mitchell Wortsman Gabriel Ilharco Cade Gordon Christoph Schuhmann Ludwig Schmidt J. Jitsev VLM CLIP 123 819 0 14 Dec 2022
Evaluating the Performance of StyleGAN2-ADA on Medical Images M. Woodland J. Wood B. Anderson Suprateek Kundu E. Lin ... S. Yedururi Briand De Yuan-Mao Lin Ankit B. Patel Kristy K. Brock MedIm 110 22 0 07 Oct 2022
When do GANs replicate? On the choice of dataset size Qianli Feng Chen Guo Fabian Benitez-Quiroz Aleix M. Martinez 205 54 0 23 Feb 2022
FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis Jinbao Wang Guoyang Xie Yawen Huang Yuexiang Li Yefeng Zheng Feng Zheng Yaochu Jin FedML MedIm 97 49 0 22 Jan 2022
SinGAN-Seg: Synthetic training data generation for medical image segmentation Vajira Thambawita Pegah Salehi Sajad Amouei Sheshkal Steven A. Hicks Hugo L.Hammer Sravanthi Parasa Thomas de Lange Pål Halvorsen Michael A. Riegler MedIm 60 86 0 29 Jun 2021
Differentiable Augmentation for Data-Efficient GAN Training Shengyu Zhao Zhijian Liu Ji Lin Jun-Yan Zhu Song Han 94 608 0 18 Jun 2020
FedGAN: Federated Generative Adversarial Networks for Distributed Data M. Rasouli Tao Sun Ram Rajagopal FedML 95 145 0 12 Jun 2020
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines Marius Mosbach Maksym Andriushchenko Dietrich Klakow 171 360 0 08 Jun 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 259 1,781 0 18 Mar 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 319 5,828 0 03 Dec 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 100 2,225 0 21 Jun 2019
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks Xiaodan Hu A. Chung Paul Fieguth Farzad Khalvati M. Haider A. Wong DiffM GAN MedIm 49 14 0 14 Nov 2018
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks Christopher Bowles Liang Chen Ricardo Guerrero P. Bentley R. Gunn A. Hammers D. A. Dickie M. V. Valdés Hernández Joanna M. Wardlaw Daniel Rueckert GAN MedIm 72 428 0 25 Oct 2018
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 108 1,393 0 19 Sep 2018
Synthetic Medical Images from Dual Generative Adversarial Networks John Guibas T. S. Virdi Peter S. Li GAN MedIm 160 167 0 06 Sep 2017
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 145 1,906 0 08 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,593 0 17 Feb 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,378 0 18 May 2015

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.