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2211.02701
Cited By
MONAI: An open-source framework for deep learning in healthcare
4 November 2022
M. Jorge Cardoso
Wenqi Li
Richard Brown
Nic Ma
E. Kerfoot
Yiheng Wang
Benjamin Murrey
Andriy Myronenko
Can Zhao
Dong Yang
V. Nath
Yufan He
Ziyue Xu
Ali Hatamizadeh
Andriy Myronenko
Wenjie Zhu
Yun-Hui Liu
Mingxin Zheng
Yucheng Tang
Isaac Yang
Michael Zephyr
Behrooz Hashemian
Sachidanand Alle
Mohammad Zalbagi Darestani
Charlie Budd
Marc Modat
Tom Vercauteren
Guotai Wang
Yiwen Li
Yipeng Hu
Yunguan Fu
Benjamin L. Gorman
Hans J. Johnson
Brad W. Genereaux
B. S. Erdal
Vikash Gupta
A. Diaz-Pinto
Andre Dourson
Lena Maier-Hein
Paul F. Jaeger
Michael Baumgartner
Jayashree Kalpathy-Cramer
Mona G. Flores
J. Kirby
L. Cooper
H. Roth
Daguang Xu
David Bericat
R. Floca
S. Kevin Zhou
Haris Shuaib
Keyvan Farahani
Klaus H. Maier-Hein
S. Aylward
Prerna Dogra
Sebastien Ourselin
Andrew Feng
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Papers citing
"MONAI: An open-source framework for deep learning in healthcare"
3 / 203 papers shown
Title
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation
Guotai Wang
Xiangde Luo
Ran Gu
Shuojue Yang
Yijie Qu
Shuwei Zhai
Qianfei Zhao
Kang Li
Shaoting Zhang
VLM
92
36
0
19 Aug 2022
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
Sarthak Pati
Siddhesh P. Thakur
İbrahim Ethem Hamamcı
Ujjwal Baid
Bhakti Baheti
...
D. Kontos
Alexandros Karargyris
Renato Umeton
Peter Mattson
Spyridon Bakas
LM&MA
MedIm
150
45
0
26 Feb 2021
What is Wrong with Continual Learning in Medical Image Segmentation?
Camila González
Nick Lemke
G. Sakas
Anirban Mukhopadhyay
CLL
53
31
0
21 Oct 2020
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