Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases

14 March 2022

Papers citing "Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases"

7 / 7 papers shown

Title
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections Max Kirchner Alexander C. Jenke S. Bodenstedt Fiona Kolbinger Oliver Saldanha Jakob N. Kather M. Wagner Stefanie Speidel FedML MedIm 88 1 0 23 Apr 2025
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 81 23 0 09 Sep 2021
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer Xiaojie Gao Yueming Jin Yonghao Long Qi Dou Pheng-Ann Heng MedIm 58 108 0 17 Mar 2021
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation Cosmin I. Bercea Benedikt Wiestler Daniel Rueckert Shadi Albarqouni FedML OOD 30 38 0 05 Mar 2021
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks Tobias Czempiel Magdalini Paschali Matthias Keicher Walter Simson H. Feußner S. T. Kim Nassir Navab 43 180 0 24 Mar 2020
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 101 2,306 0 29 Apr 2019
Group Normalization Yuxin Wu Kaiming He 139 3,626 0 22 Mar 2018