no code implementations • 15 Mar 2024 • Mohammad Shifat E Rabbi, Naqib Sad Pathan, Shiying Li, Yan Zhuang, Abu Hasnat Mohammad Rubaiyat, Gustavo K Rohde
Our approach employs the Linear Optimal Transport (LOT) transform to obtain a linear embedding of set-structured data.
no code implementations • 2 Feb 2023 • Mohammad Shifat E Rabbi, Abu Hasnat Mohammad Rubaiyat, Yan Zhuang, Gustavo K Rohde
These methods often require extensive training data, are computationally expensive, and are vulnerable to out-of-distribution samples, e. g., adversarial attacks.
no code implementations • 2 Feb 2023 • Mohammad Shifat E Rabbi, Natasha Ironside, John A Ozolek, Rajendra Singh, Liron Pantanowitz, Gustavo K Rohde
We demonstrate the model is robust to different staining patterns and imaging protocols, and can be used to discover meaningful and interpretable information within and across datasets and cancer types.