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CHAMMI: A benchmark for channel-adaptive models in microscopy imaging

CHAMMI: A benchmark for channel-adaptive models in microscopy imaging

30 October 2023
Zitong S. Chen
Chau Pham
Siqi Wang
Michael Doron
Nikita Moshkov
Bryan A. Plummer
Juan C. Caicedo
ArXivPDFHTML

Papers citing "CHAMMI: A benchmark for channel-adaptive models in microscopy imaging"

13 / 13 papers shown
Title
Causal integration of chemical structures improves representations of microscopy images for morphological profiling
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
31
0
0
13 Apr 2025
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Siqi Wang
Aoming Liu
Bryan A. Plummer
OOD
36
0
0
03 Apr 2025
ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning
ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning
Chau Pham
Juan C. Caicedo
Bryan A. Plummer
47
0
0
25 Mar 2025
Isolated Channel Vision Transformers: From Single-Channel Pretraining to Multi-Channel Finetuning
Wenyi Lian
Joakim Lindblad
Patrick Micke
Natasa Sladoje
62
0
0
12 Mar 2025
Contrastive learning of cell state dynamics in response to perturbations
Contrastive learning of cell state dynamics in response to perturbations
Soorya Pradeep
Alishba Imran
Ziwen Liu
Taylla Milena Theodoro
Eduardo Hirata-Miyasaki
...
Madhura Bhave
Sudip Khadka
Hunter Woosley
Carolina Arias
Shalin B. Mehta
26
0
0
15 Oct 2024
Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers
Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers
Chau Pham
Bryan A. Plummer
37
3
0
26 May 2024
A Unified Framework for Connecting Noise Modeling to Boost Noise
  Detection
A Unified Framework for Connecting Noise Modeling to Boost Noise Detection
Siqi Wang
Chau Pham
Bryan A. Plummer
NoLa
36
0
0
30 Nov 2023
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source
  Knowledge Integration
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration
Siqi Wang
Bryan A. Plummer
18
2
0
20 Jun 2023
Hierarchical discriminative learning improves visual representations of
  biomedical microscopy
Hierarchical discriminative learning improves visual representations of biomedical microscopy
Cheng Jiang
X. Hou
A. Kondepudi
Asadur Chowdury
C. Freudiger
D. Orringer
Honglak Lee
Todd C. Hollon
24
12
0
02 Mar 2023
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
308
5,773
0
29 Apr 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
423
0
17 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
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