Contrastive Learning of Single-Cell Phenotypic Representations for
Treatment Classification

Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification

30 March 2021

Papers citing "Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification"

13 / 13 papers shown

Title
Causal integration of chemical structures improves representations of microscopy images for morphological profiling Yemin Yu Neil A. Tenenholtz Lester W. Mackey Ying Wei David Alvarez-Melis Ava P. Amini Alex X. Lu 24 0 0 13 Apr 2025
Morphological Profiling for Drug Discovery in the Era of Deep Learning Qiaosi Tang R. Ratnayake Gustavo Seabra Zhe Jiang Ruogu Fang ... Tamer Kahveci Jiang Bian Chenglong Li H. Luesch Yanjun Li 14 4 0 13 Dec 2023
Mixed Models with Multiple Instance Learning Jan P. Engelmann Alessandro Palma Jakub M. Tomczak Fabian J Theis Francesco Paolo Casale 17 2 0 04 Nov 2023
No Free Lunch in Self Supervised Representation Learning Ihab Bendidi Adrien Bardes E. Cohen Alexis Lamiable Guillaume Bollot Auguste Genovesio OOD 41 11 0 23 Apr 2023
Self-supervised pseudo-colorizing of masked cells Royden Wagner Carlos Fernandez Lopez Christoph Stiller 13 0 0 12 Feb 2023
RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods Maciej Sypetkowski Morteza Rezanejad Saber Saberian Oren Z. Kraus John Urbanik ... Mason L. Victors J. Yosinski A. R. Sereshkeh I. Haque Berton A. Earnshaw 23 37 0 13 Jan 2023
Metadata-guided Consistency Learning for High Content Images Johan Fredin Haslum Christos Matsoukas Karl‐Johan Leuchowius Erik Mullers Kevin Smith 17 8 0 22 Dec 2022
Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels J. Cross-Zamirski Guy B. Williams E. Mouchet Carola-Bibiane Schönlieb Riku Turkki Yinhai Wang 37 21 0 16 Sep 2022
Comparison of semi-supervised learning methods for High Content Screening quality control Umar Masud Ethan O. Cohen Ihab Bendidi Guillaume Bollot Auguste Genovesio 21 4 0 09 Aug 2022
Optimizing transformations for contrastive learning in a differentiable framework Camille Ruppli Pietro Gori R. Ardon Isabelle Bloch MedIm 20 2 0 27 Jul 2022
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings Siqi Wang Manyuan Lu Nikita Moshkov Juan C. Caicedo Bryan A. Plummer 11 4 0 06 Dec 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction Anuroop Sriram Matthew Muckley Koustuv Sinha Farah E. Shamout Joelle Pineau Krzysztof J. Geras Lea Azour Y. Aphinyanaphongs N. Yakubova W. Moore MedIm 126 63 0 13 Jan 2021
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning Oren Z. Kraus Lei Jimmy Ba B. Frey 159 392 0 17 Nov 2015