Eman Showkatian

According to our database, Eman Showkatian authored at least 5 papers between 2021 and 2025.

Collaborative distances:

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

2025

The Next Layer: Augmenting Foundation Models with Structure-Preserving and Attention-Guided Learning for Local Patches to Global Context Awareness in Computational Pathology.

Muhammad Waqas, Rukhmini Bandyopadhyay, Eman Showkatian, Amgad Muneer, Anas Zafar, Frank Rojas Alvarez, Maricel Corredor Marin, Wentao Li, David A. Jaffray, Cara Haymaker, John V. Heymach, Natalie I. Vokes, Luisa M. Solis Soto, Jianjun Zhang, Jia Wu

CoRR, August, 2025

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research.

Amgad Muneer, Muhammad Waqas, Maliazurina B. Saad, Eman Showkatian, Rukhmini Bandyopadhyay, Hui Xu, Wentao Li, Joe Y. Chang, Zhongxing Liao, Cara Haymaker, Luisa Solis-Soto, Carol C. Wu, Natalie I. Vokes, Xiuning Le, Lauren A. Byers, Don L. Gibbons, John V. Heymach, Jianjun Zhang, Jia Wu

CoRR, July, 2025

2024

PD-L1 Expression Prediction Using Scalable Multi Instance Transformer.

Eman Showkatian, Amgad Muneer, Maliazurina B. Saad, Lingzhi Hong, John V. Heymach, Jianjun Zhang, Jia Wu

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024

PANDA: Pneumonitis Anomaly Detection Using Attention U-Net.

Amgad Muneer, Eman Showkatian, Mehmet Altan, Ajay Sheshadri, Jia Wu

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024

2021

Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images.

Afshin Bozorgpour, Reza Azad, Eman Showkatian, Alaa Sulaiman

Proceedings of the MICCAI Workshop on Computational Pathology, 2021