2023

Federated benchmarking of medical artificial intelligence with MedPerf.

[DOI]

Alexandros Karargyris

,

Renato Umeton

,

Micah J. Sheller

,

Alejandro Aristizabal

,

Johnu George

,

Anna Wuest

,

Sarthak Pati

,

Hasan Kassem

,

Maximilian Zenk

,

Ujjwal Baid

,

Prakash Narayana Moorthy

,

Alexander Chowdhury

,

Junyi Guo

,

Sahil S. Nalawade

,

Jacob Rosenthal

,

David Kanter

,

Maria Xenochristou

,

Daniel J. Beutel

,

Verena Chung

,

Timothy Bergquist

,

James A. Eddy

,

Abubakar Abid

,

Lewis Tunstall

,

Omar Sanseviero

,

Dimitrios Dimitriadis

,

Yiming Qian

,

Xinxing Xu

,

Yong Liu

,

Rick Siow Mong Goh

,

Srini Bala

,

Victor Bittorf

,

Sreekar Reddy Puchala

,

Biagio Ricciuti

,

Soujanya Samineni

,

Eshna Sengupta

,

Akshay Chaudhari

,

Cody Coleman

,

Bala Desinghu

,

Gregory F. Diamos

,

Debo Dutta

,

Diane Feddema

,

Grigori Fursin

,

Xinyuan Huang

,

Satyananda Kashyap

,

Nicholas D. Lane

,

Indranil Mallick

,

Pietro Mascagni

,

Virendra Mehta

,

Cassiano Ferro Moraes

,

Vivek Natarajan

,

Nikola Nikolov

,

Nicolas Padoy

,

Gennady Pekhimenko

,

Vijay Janapa Reddi

,

G. Anthony Reina

,

Pablo Ribalta

,

Abhishek Singh

,

Jayaraman J. Thiagarajan

,

Jacob Albrecht

,

Thomas Wolf

,

Geralyn Miller

,

Huazhu Fu

,

Prashant Shah

,

Daguang Xu

,

Poonam Yadav

,

David Talby

,

Mark M. Awad

,

Jeremy P. Howard

,

Michael Rosenthal

,

Luigi Marchionni

,

Massimo Loda

,

Jason M. Johnson

,

Spyridon Bakas

,

Peter Mattson

Nat. Mac. Intell., July, 2023

2021

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.

[DOI]

CoRR, 2021