Maryam Pouryahya

According to our database, Maryam Pouryahya authored at least 6 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

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

2020

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

2019

Kernel Wasserstein Distance.

Jung Hun Oh, Maryam Pouryahya, Aditi Iyer, Aditya P. Apte, Allen R. Tannenbaum, Joseph O. Deasy

CoRR, 2019

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

Proceedings of the 58th IEEE Conference on Decision and Control, 2019