Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data

29 May 2020

Yikai Zhang

Tong Zhang

Papers citing "Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data"

35 / 35 papers shown

Title
ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks Ziji Shi Jialin Li Yang You 16 1 0 06 Nov 2024
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 27 0 0 31 Oct 2024
High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models Lívia Rodrigues Martina Bocchetta O. Puonti Douglas N. Greve A. C. Londe Marcondes França Simone Appenzeller Letícia Rittner Juan Eugenio Iglesias 15 3 0 27 Jun 2024
Embarrassingly Parallel GFlowNets Tiago da Silva Luiz Max Carvalho Amauri Souza Samuel Kaski Diego Mesquita 42 1 0 05 Jun 2024
FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN Paul Joe Maliakel Shashikant Ilager Ivona Brandić 23 7 0 25 Mar 2024
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency Yubin Zheng Peng Tang Tianjie Ju Weidong Qiu Bo Yan FedML 16 4 0 19 Mar 2024
MPCPA: Multi-Center Privacy Computing with Predictions Aggregation based on Denoising Diffusion Probabilistic Model Guibo Luo Hanwen Zhang Xiuling Wang Mingzhi Chen Yuesheng Zhu DiffM 36 1 0 12 Mar 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective Xinjian Luo Yangfan Jiang Fei Wei Yuncheng Wu Xiaokui Xiao Beng Chin Ooi DiffM 30 4 0 28 Feb 2024
Federated Learning via Input-Output Collaborative Distillation Xuan Gong Shanglin Li Yuxiang Bao Barry Yao Yawen Huang Ziyan Wu Baochang Zhang Yefeng Zheng David Doermann FedML 10 6 0 22 Dec 2023
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat Erdong Hu Yu-Shuen Tang Anastasios Kyrillidis C. Jermaine FedML 14 10 0 06 Sep 2023
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation Yixin Chen Yan Wang OOD 15 0 0 24 Jul 2023
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks Zhaomin Wu Junyi Hou Bin He FedML 32 5 0 05 Jul 2023
Distributed Conditional GAN (discGAN) For Synthetic Healthcare Data Generation David T. Fuentes Diana McSpadden Sodiq Adewole CML MedIm 11 1 0 09 Apr 2023
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology Shahira Abousamra Rajarsi R. Gupta Tahsin M. Kurc Dimitris Samaras Joel H. Saltz Chao Chen MedIm 15 7 0 05 Apr 2023
Modeling Global Distribution for Federated Learning with Label Distribution Skew Tao Sheng Cheng Shen Yuan Liu Yeyu Ou Zhe Qu Jianxin Wang FedML 16 7 0 17 Dec 2022
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis Ruinan Jin Xiaoxiao Li FedML AAML MedIm 33 23 0 19 Oct 2022
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification Qi Lai Jianhang Zhou Yanfen Gan Chi-Man Vong Deshuang Huang 18 7 0 06 Sep 2022
Generative Adversarial Network Based Synthetic Learning and a Novel Domain Relevant Loss Term for Spine Radiographs E. Schonfeld A. Veeravagu MedIm 9 1 0 05 May 2022
MIPR:Automatic Annotation of Medical Images with Pixel Rearrangement Pingping Dai Haiming Zhu Shuang Ge Ruihan Zhang Xiang Qian Xi Li Kehong Yuan 11 2 0 22 Apr 2022
Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions Pingping Dai Licong Dong Ruihan Zhang Haiming Zhu Jie Wu Kehong Yuan MedIm 19 4 0 20 Mar 2022
Federated Learning of Generative Image Priors for MRI Reconstruction Gokberk Elmas S. Dar Yilmaz Korkmaz Emir Ceyani Burak Susam Muzaffer Özbey Salman Avestimehr Tolga cCukur FedML MedIm AI4CE 11 87 0 08 Feb 2022
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN Zilong Zhao Jiyue Huang Stefanie Roos L. Chen AAML 9 5 0 24 Jan 2022
Modality Bank: Learn multi-modality images across data centers without sharing medical data Qi Chang Hui Qu Zhennan Yan Yunhe Gao L. Baskaran Dimitris N. Metaxas MedIm 12 4 0 22 Jan 2022
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data Minh-Khoi Tran Loi Ly Binh-Son Hua Ngan Le 3DPC MedIm 23 16 0 15 Jan 2022
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Chaoyang He Alay Dilipbhai Shah Zhenheng Tang Adarshan Naiynar Sivashunmugam Keerti Bhogaraju Mita Shimpi Li Shen X. Chu Mahdi Soltanolkotabi Salman Avestimehr VLM FedML 24 68 0 22 Nov 2021
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data Zilong Zhao Robert Birke A. Kunar L. Chen FedML 13 22 0 18 Aug 2021
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir MedIm 26 42 0 20 Jul 2021
AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning Guangmeng Zhou Ke Xu Qi Li Yang Liu Yi Zhao 11 8 0 27 Jun 2021
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching Quande Liu Hongzhen Yang Qi Dou Pheng-Ann Heng FedML 14 76 0 16 Jun 2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers Yilmaz Korkmaz S. Dar Mahmut Yurt Muzaffer Özbey Tolga Çukur ViT MedIm 13 190 0 15 May 2021
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia Longling Zhang Bochen Shen A. Barnawi Shan Xi Neeraj Kumar Yi Wu FedML MedIm 71 80 0 26 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu ... Elvira Stellato G. Carrafiello A. Ierardi Alan Yuille H. Roth OOD FedML 40 46 0 20 Apr 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Quande Liu Cheng Chen J. Qin Qi Dou Pheng-Ann Heng OOD FedML 35 426 0 10 Mar 2021
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information Qi Chang Zhennan Yan L. Baskaran Hui Qu Yikai Zhang Tong Zhang Shaoting Zhang Dimitris N. Metaxas MedIm 13 12 0 15 Dec 2020
Learn distributed GAN with Temporary Discriminators Hui Qu Yikai Zhang Qi Chang Zhennan Yan Chao Chen Dimitris N. Metaxas FedML 6 16 0 17 Jul 2020