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Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient
  Multiplex Network

Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network

25 July 2024
Sukwon Yun
Jie Peng
Alexandro E. Trevino
Chanyoung Park
Tianlong Chen
ArXivPDFHTML

Papers citing "Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network"

5 / 5 papers shown
Title
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible
  Mixture-of-Experts
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
Sukwon Yun
Inyoung Choi
Jie Peng
Yangfan Wu
J. Bao
Qiyiwen Zhang
Jiayi Xin
Qi Long
Tianlong Chen
MoE
50
4
0
10 Oct 2024
HDMI: High-order Deep Multiplex Infomax
HDMI: High-order Deep Multiplex Infomax
Baoyu Jing
Chanyoung Park
Hanghang Tong
98
163
0
15 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
94
561
0
04 Jan 2021
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,447
0
21 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
294
75,800
0
18 May 2015
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