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

7 March 2022

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 Royden Wagner Carlos Fernandez Lopez Christoph Stiller 51 1 0 12 Feb 2023
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 Martin J. Menten 46 2 0 11 Jan 2023
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 44 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 Alessio Mascolini Dario Cardamone Francesco Ponzio S. D. Cataldo E. Ficarra MedIm 38 16 0 16 Jul 2021
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 326 4,107 0 17 Jun 2020