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Self-supervised learning for analysis of temporal and morphological drug
  effects in cancer cell imaging data

Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data

7 March 2022
A. Dmitrenko
M. M. Masiero
N. Zamboni
    MedIm
ArXivPDFHTML

Papers citing "Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data"

5 / 5 papers shown
Title
Self-supervised pseudo-colorizing of masked cells
Self-supervised pseudo-colorizing of masked cells
Royden Wagner
Carlos Fernandez Lopez
Christoph Stiller
15
0
0
12 Feb 2023
Clustering disease trajectories in contrastive feature space for
  biomarker discovery in age-related macular degeneration
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration
R. Holland
Oliver Leingang
Christopher Holmes
Philipp Anders
Rebecca Kaye
...
H. Scholl
S. Sivaprasad
A. Lotery
Daniel Rueckert
M. Menten
13
2
0
11 Jan 2023
Multiplexed Immunofluorescence Brain Image Analysis Using
  Self-Supervised Dual-Loss Adaptive Masked Autoencoder
Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked Autoencoder
S. Ly
Bai Lin
Hung Q. Vo
D. Maric
B. Roysam
H. V. Nguyen
26
0
0
10 May 2022
Exploiting generative self-supervised learning for the assessment of
  biological images with lack of annotations: a COVID-19 case-study
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study
Alessio Mascolini
Dario Cardamone
Francesco Ponzio
S. D. Cataldo
E. Ficarra
MedIm
17
15
0
16 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,775
0
29 Apr 2021
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