Luke Ternes
Oregon Health & Science University(US)
Publications by Year
Research Areas
Cell Image Analysis Techniques, AI in cancer detection, Single-cell and spatial transcriptomics, Radiomics and Machine Learning in Medical Imaging, Pancreatic and Hepatic Oncology Research
Most-Cited Works
- → A multi-encoder variational autoencoder controls multiple transformational features in single-cell image analysis(2022)53 cited
- → MYC Deregulation and PTEN Loss Model Tumor and Stromal Heterogeneity of Aggressive Triple-Negative Breast Cancer(2023)41 cited
- → Computational multiplex panel reduction to maximize information retention in breast cancer tissue microarrays(2022)14 cited
- → ME-VAE: Multi-Encoder Variational AutoEncoder for Controlling Multiple Transformational Features in Single Cell Image Analysis(2021)13 cited
- → 3D multiplexed tissue imaging reconstruction and optimized region of interest (ROI) selection through deep learning model of channels embedding(2023)12 cited
- → VISTA: VIsual Semantic Tissue Analysis for pancreatic disease quantification in murine cohorts(2020)10 cited
- → Addressing persistent challenges in digital image analysis of cancerous tissues(2023)4 cited
- → Suppression of dystroglycan function accompanies pancreatic acinar‐to‐ductal metaplasia and favours dysplasia development(2024)2 cited
- → A Novel Mouse Model that Recapitulates the Heterogeneity of Human Triple Negative Breast Cancer(2022)1 cited
- → Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon(2025)