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2505.14507
Cited By
Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy
20 May 2025
Jingyun Chen
David Horowitz
Yading Yuan
MedIm
AI4CE
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Papers citing
"Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy"
14 / 14 papers shown
Title
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
Zheyuan Zhang
Elif Keles
Gorkem Durak
Yavuz Taktak
Onkar Susladkar
...
Cemal Yazici
T. Tirkes
Baris Turkbey
Michael B. Wallace
Ulas Bagci
OOD
66
0
0
20 May 2024
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
Anqi Mao
M. Mohri
Yutao Zhong
AAML
71
304
0
14 Apr 2023
NVIDIA FLARE: Federated Learning from Simulation to Real-World
H. Roth
Yan Cheng
Yuhong Wen
Isaac Yang
Ziyue Xu
...
Daguang Xu
Nic Ma
Prerna Dogra
Mona G. Flores
Andrew Feng
FedML
AI4CE
72
99
0
24 Oct 2022
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati
Ujjwal Baid
Brandon Edwards
Micah J. Sheller
Shih-Han Wang
...
Prashant Shah
Bjoern Menze
J. Barnholtz-Sloan
Jason Martin
Spyridon Bakas
FedML
AI4CE
96
214
0
22 Apr 2022
Byzantine-Robust Decentralized Learning via ClippedGossip
Lie He
Sai Praneeth Karimireddy
Martin Jaggi
FedML
63
18
0
03 Feb 2022
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee
Chunjiang Che
Xiaoli Li
Chuan Chen
Xiaoyu He
Zibin Zheng
FedML
87
75
0
01 Aug 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
Ujjwal Baid
S. Ghodasara
S. Mohan
Michel Bilello
Evan Calabrese
...
M. Weber
A. Mahajan
Bjoern Menze
Adam Flanders
Spyridon Bakas
131
631
0
05 Jul 2021
OpenFL: An open-source framework for Federated Learning
G. A. Reina
Alexey Gruzdev
Patrick Foley
O. Perepelkina
Mansi Sharma
...
Sarthak Pati
Prakash Narayana Moorthy
Shih-Han Wang
Prashant Shah
Spyridon Bakas
FedML
AIFin
85
110
0
13 May 2021
Decentralized Federated Learning via Mutual Knowledge Transfer
Chengxi Li
Gang Li
P. Varshney
FedML
56
109
0
24 Dec 2020
Flower: A Friendly Federated Learning Research Framework
Daniel J. Beutel
Taner Topal
Akhil Mathur
Xinchi Qiu
Javier Fernandez-Marques
...
Lorenzo Sani
Kwing Hei Li
Titouan Parcollet
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
121
806
0
28 Jul 2020
3D MRI brain tumor segmentation using autoencoder regularization
Andriy Myronenko
92
1,044
0
27 Oct 2018
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
401
26,465
0
05 Sep 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
380
17,437
0
17 Feb 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,814
0
10 Dec 2015
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