11 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 11 cited
Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them all
Ihab Bendidi, Shawn Whitfield, Kian Kenyon-Dean +4
Understanding the relationships among genes, compounds, and their interactions in living organisms remains limited due to technological constraints and the complexity of biological…
cs.CV2023★ 10 cited
No Free Lunch in Self Supervised Representation Learning
Ihab Bendidi, Adrien Bardes, Ethan Cohen +3
Self-supervised representation learning in computer vision relies heavily on hand-crafted image transformations to learn meaningful and invariant features. However few extensive ex…
cs.CV2022
Comparison of semi-supervised learning methods for High Content Screening quality control
Umar Masud, Ethan Cohen, Ihab Bendidi +2
Progress in automated microscopy and quantitative image analysis has promoted high-content screening (HCS) as an efficient drug discovery and research tool. While HCS offers to qua…