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Patchwork Learning: A Paradigm Towards Integrative Analysis across
  Diverse Biomedical Data Sources

Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources

10 May 2023
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
ArXivPDFHTML

Papers citing "Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources"

10 / 10 papers shown
Title
A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
Gaurav Verma
Jiawei Zhou
Mohit Chandra
Srijan Kumar
M. D. Choudhury
43
0
0
03 Apr 2025
Transfer Learning with Clinical Concept Embeddings from Large Language
  Models
Transfer Learning with Clinical Concept Embeddings from Large Language Models
Yuhe Gao
Runxue Bao
Yuelyu Ji
Yiming Sun
Chenxi Song
Jeffrey P. Ferraro
Ye Ye
15
0
0
20 Sep 2024
Joint Analysis of Single-Cell Data across Cohorts with Missing
  Modalities
Joint Analysis of Single-Cell Data across Cohorts with Missing Modalities
Marianne Arriola
Weishen Pan
Manqi Zhou
Qiannan Zhang
Chang Su
Fei-Yue Wang
17
0
0
18 May 2024
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with
  Contrastive Learning in Multimodal Electronic Health Records
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
Yuqing Wang
Malvika Pillai
Yun Zhao
Catherine M. Curtin
Tina Hernandez-Boussard
9
0
0
01 Feb 2024
FedNorm: Modality-Based Normalization in Federated Learning for
  Multi-Modal Liver Segmentation
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation
Tobias Bernecker
Annette Peters
C. Schlett
F. Bamberg
Fabian J. Theis
Daniel Rueckert
J. Weiss
Shadi Albarqouni
FedML
MedIm
19
19
0
23 May 2022
Incentivizing Federated Learning
Incentivizing Federated Learning
Shuyu Kong
You Li
Hai Zhou
FedML
10
5
0
22 May 2022
Federated Multi-View Learning for Private Medical Data Integration and
  Analysis
Federated Multi-View Learning for Private Medical Data Integration and Analysis
Sicong Che
Hao Peng
Lichao Sun
Yong Chen
Lifang He
FedML
28
40
0
04 May 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
177
832
0
01 Mar 2021
A Federated Multi-View Deep Learning Framework for Privacy-Preserving
  Recommendations
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations
Mingkai Huang
Hao Li
Bing Bai
Chang Wang
Kun Bai
Fei-Yue Wang
FedML
28
29
0
25 Aug 2020
The Future of Digital Health with Federated Learning
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
161
1,690
0
18 Mar 2020
1