Controlled and Uncontrolled Stochastic Norton-Simon-Massagué Tumor Growth Models. - Zehor Belkhatir; Michele Pavon; James C. Mathews; Maryam Pouryahya; Joseph O. Deasy; Larry Norton; Allen R. Tannenbaum (CDC, 2019)

Kernel Wasserstein Distance. - Jung Hun Oh; Maryam Pouryahya; Aditi Iyer; Aditya P. Apte; Allen R. Tannenbaum; Joseph O. Deasy (CoRR, 2019)

A novel kernel Wasserstein distance on Gaussian measures: An application of identifying dental artifacts in head and neck computed tomography. - Jung Hun Oh; Maryam Pouryahya; Aditi Iyer; Aditya P. Apte; Joseph O. Deasy; Allen R. Tannenbaum (Comput. Biol. Medicine, 2020)

Stochastic Norton-Simon-Massagué Tumor Growth Modeling: Controlled and Mixed-Effect Uncontrolled Analysis. - Zehor Belkhatir; Michele Pavon; James C. Mathews; Maryam Pouryahya; Joseph O. Deasy; Larry Norton; Allen R. Tannenbaum (IEEE Trans. Control. Syst. Technol., 2021)

Multi stain graph fusion for multimodal integration in pathology. - Chaitanya Dwivedi; Shima Nofallah; Maryam Pouryahya; Janani Iyer; Kenneth Leidal; Chuhan Chung; Timothy Watkins; Andrew Billin; Robert Myers; John Abel; Ali Behrooz (CVPR Workshops, 2022)

aWCluster: A Novel Integrative Network-Based Clustering of Multiomics for Subtype Analysis of Cancer Data. - Maryam Pouryahya; Jung Hun Oh; Pedram Javanmard; James C. Mathews; Zehor Belkhatir; Joseph O. Deasy; Allen R. Tannenbaum (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)