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Causal integration of chemical structures improves representations of microscopy images for morphological profiling
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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
ArXiv (abs)PDFHTML

Papers citing "Causal integration of chemical structures improves representations of microscopy images for morphological profiling"

13 / 13 papers shown
Title
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
Philip Fradkin
Puria Azadi
Karush Suri
Frederik Wenkel
A. Bashashati
Maciej Sypetkowski
Dominique Beaini
68
5
0
10 Sep 2024
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
Oren Z. Kraus
Kian Kenyon-Dean
Saber Saberian
Maryam Fallah
Peter McLean
...
Chi Vicky Cheng
Kristen Morse
Maureen Makes
Ben Mabey
Berton Earnshaw
61
35
0
16 Apr 2024
Morphological Profiling for Drug Discovery in the Era of Deep Learning
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
66
4
0
13 Dec 2023
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
Zitong S. Chen
Chau Pham
Siqi Wang
Michael Doron
Nikita Moshkov
Bryan A. Plummer
Juan C. Caicedo
77
13
0
30 Oct 2023
Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels
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
137
21
0
16 Sep 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
477
7,827
0
11 Nov 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
732
6,135
0
29 Apr 2021
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
A. Perakis
A. Gorji
Samriddhi Jain
K. Chaitanya
Simone Rizza
E. Konukoglu
SSL
69
34
0
30 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.0K
29,926
0
26 Feb 2021
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
390
18,897
0
13 Feb 2020
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,510
0
10 Dec 2015
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning
Oren Z. Kraus
Lei Jimmy Ba
B. Frey
212
392
0
17 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014

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