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FeDETR: a Federated Approach for Stenosis Detection in Coronary
  Angiography

FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography

21 September 2024
Raffaele Mineo
Amelia Sorrenti
Federica Proietto Salanitri
    MedIm
ArXiv (abs)PDFHTML

Papers citing "FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography"

12 / 12 papers shown
Title
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology
  Segmentation
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation
Cosmin I. Bercea
Benedikt Wiestler
Daniel Rueckert
Shadi Albarqouni
FedMLOOD
73
39
0
05 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OODFedML
278
824
0
15 Feb 2021
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
434
13,108
0
26 May 2020
FedVision: An Online Visual Object Detection Platform Powered by
  Federated Learning
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Yang Liu
Anbu Huang
Yu Luo
He Huang
Youzhi Liu
Yuanyuan Chen
Lican Feng
Tianjian Chen
Hang Yu
Qiang Yang
FedML
164
304
0
17 Jan 2020
Robust Aggregation for Federated Learning
Robust Aggregation for Federated Learning
Krishna Pillutla
Sham Kakade
Zaïd Harchaoui
FedML
122
662
0
31 Dec 2019
Real-World Image Datasets for Federated Learning
Real-World Image Datasets for Federated Learning
Jiahuan Luo
Xueyang Wu
Yu Luo
Anbu Huang
Yunfeng Huang
Yang Liu
Qiang Yang
FedML
62
100
0
14 Oct 2019
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
130
21,488
0
08 Apr 2018
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
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
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
249
29,871
0
08 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
531
62,377
0
04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,378
0
18 May 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
434
43,832
0
01 May 2014
1