Search Results for author: Heming Yao

Found 5 papers, 1 papers with code

Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening

no code implementations11 Jun 2024 Mahtab Bigverdi, Burkhard Hockendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond

Optical pooled screening (OPS) combines automated microscopy and genetic perturbations to systematically study gene function in a scalable and cost-effective way.

Clustering Representation Learning +1

Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images

1 code implementation8 Jun 2024 Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond

Optical Pooled Screening (OPS) is a powerful tool combining high-content microscopy with genetic engineering to investigate gene function in disease.

Self-Supervised Learning

A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure

no code implementations9 Dec 2021 Heming Yao, Harm Derksen, Jessica R. Golbus, Justin Zhang, Keith D. Aaronson, Jonathan Gryak, Kayvan Najarian

In addition to learning humanly understandable rules from the dataset, existing fuzzy domain knowledge can be easily transferred into the network and used to facilitate model training.

Interpretable Machine Learning

Motion-based Camera Localization System in Colonoscopy Videos

no code implementations3 Dec 2020 Heming Yao, Ryan W. Stidham, Zijun Gao, Jonathan Gryak, Kayvan Najarian

In this study, we propose a camera localization system to estimate the relative location of the camera and classify the colon into anatomical segments.

Camera Localization General Classification +1

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