Luke Ternes

MITI minimum information guidelines for highly multiplexed tissue images

Denis Schapiro, Clarence Yapp, Artem Sokolov et al. · Nature Methods · 2022 · 86 citations · Full text

Medicine, Biomedical Informatics, Pathology +10

A multi-encoder variational autoencoder controls multiple transformational features in single-cell image analysis

Luke Ternes, Mark Dane, Sean M. Gross et al. · Communications Biology · 2022 · 55 citations · Full text

Engineering, Biomedical Engineering, Cell Biology +15

MYC Deregulation and PTEN Loss Model Tumor and Stromal Heterogeneity of Aggressive Triple-Negative Breast Cancer

Zinab O. Doha, Xiaoyan Wang, Nicholas L. Calistri et al. · Nature Communications · 2023 · 44 citations · Full text

Medicine, Molecular Biology, Oncology +17

Computational multiplex panel reduction to maximize information retention in breast cancer tissue microarrays

Luke Ternes, Jia‐Ren Lin, Yuan Chen et al. · PLoS Computational Biology · 2022 · 14 citations · Full text

Medicine, Biomedical Sciences, Cell Biology +13

ME-VAE: Multi-Encoder Variational AutoEncoder for Controlling Multiple Transformational Features in Single Cell Image Analysis

Luke Ternes, Mark Dane, Sean M. Gross et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2021 · 13 citations · Full text

Engineering, Biomedical Engineering, Cell Biology +16