Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2009.10190
Cited By
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
21 September 2020
Ming Y. Lu
Dehan Kong
Jana Lipkova
Richard J. Chen
Rajendra Singh
Drew F. K. Williamson
Tiffany Y. Chen
Faisal Mahmood
FedML
MedIm
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Federated Learning for Computational Pathology on Gigapixel Whole Slide Images"
16 / 16 papers shown
Title
Identifying regions of interest in whole slide images of renal cell carcinoma
Mohammed Lamine Benomar
Nesma Settouti
Eric Debreuve
Xavier Descombes
Damien Ambrosetti
37
0
0
09 Apr 2025
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
Pei Liu
Luping Ji
Jiaxiang Gou
Bo Fu
Mao Ye
31
2
0
14 Sep 2024
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging
Pranab Sahoo
Ashutosh Tripathi
Sriparna Saha
S. Mondal
48
0
0
08 Jul 2024
Artificial Intelligence for Digital and Computational Pathology
Andrew H. Song
Guillaume Jaume
Drew F. K. Williamson
Ming Y. Lu
Anurag J. Vaidya
Tiffany R. Miller
Faisal Mahmood
AI4CE
30
130
0
13 Dec 2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics
Alberto Archetti
F. Ieva
Matteo Matteucci
FedML
25
10
0
04 Aug 2023
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Linhao Qu
Yingfan Ma
Xiao-Zhuo Luo
Manning Wang
Zhijian Song
VLM
29
19
0
05 Jul 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
FedML
40
5
0
01 May 2023
Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images
M. Behzadi
M. Madani
Hanzhang Wang
Jun Bai
Ankit Bhardwaj
A. Tarakanova
H. Yamase
Ga Hie Nam
S. Nabavi
MedIm
36
10
0
25 Dec 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
24
38
0
17 Nov 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Jean Ogier du Terrail
Samy Ayed
Edwige Cyffers
Felix Grimberg
Chaoyang He
...
Sai Praneeth Karimireddy
Marco Lorenzi
Giovanni Neglia
Marc Tommasi
M. Andreux
FedML
47
142
0
10 Oct 2022
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling
Sourav Kumar
A. Lakshminarayanan
Ken Chang
Feri Guretno
Ivan Ho Mien
Jayashree Kalpathy-Cramer
Pavitra Krishnaswamy
Praveer Singh
FedML
39
7
0
12 Sep 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
Jeffry Wicaksana
Zengqiang Yan
Dong Zhang
Xijie Huang
Huimin Wu
Xin Yang
Kwang-Ting Cheng
FedML
38
49
0
04 May 2022
FedDropoutAvg: Generalizable federated learning for histopathology image classification
G. N. Gunesli
M. Bilal
S. Raza
Nasir M. Rajpoot
FedML
OOD
24
20
0
25 Nov 2021
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
Richard J. Chen
Ming Y. Lu
Muhammad Shaban
Chengkuan Chen
Tiffany Y. Chen
Drew F. K. Williamson
Faisal Mahmood
3DPC
MedIm
49
153
0
27 Jul 2021
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
174
1,709
0
18 Mar 2020
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou
S. Graham
Navid Alemi Koohbanani
Muhammad Shaban
Pheng-Ann Heng
Nasir M. Rajpoot
MedIm
29
173
0
03 Sep 2019
1