Identifying Catheter and Line Position in Chest X-Rays Using GANs. - Milan Aryal; Nasim Yahyasoltani (ICMLA, 2021)

Context-Aware Graph-Based Self-Supervised Learning of Whole Slide Images. - Milan Aryal; Nasim Yahya Soltani (ICASSP, 2022)

Position-Aware Graph-Based Learning of Whole Slide Images. - Milan Aryal; Nasim Yahya Soltani (ICASSP, 2023)

Context-Aware Self-Supervised Learning of Whole Slide Images. - Milan Aryal; Nasim Yahyasoltani (CoRR, 2023)

Explainable and Position-Aware Learning in Digital Pathology. - Milan Aryal; Nasim Yahyasoltani (CoRR, 2023)

Artifact-Robust Graph-Based Learning in Digital Pathology. - Saba Heidari Gheshlaghi; Milan Aryal; Nasim Yahyasoltani; Masoud Ganji (CoRR, 2023)

Speed Control of DC Motors Using an Artificial Neural Network (ANN). - M. M. A. Rahman; Milan Aryal; Rajan Amatya (EIT, 2024)

Adversary-Robust Graph-Based Learning of WSIs. - Saba Heidari Gheshlaghi; Milan Aryal; Nasim Yahyasoltani; Masoud Ganji (CoRR, 2024)

A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models. - Dibaloke Chanda; Milan Aryal; Nasim Yahya Soltani; Masoud Ganji (CoRR, 2024)

Context-Aware Self-Supervised Learning of Whole Slide Images. - Milan Aryal; Nasim Yahya Soltani (IEEE Trans. Artif. Intell., 2024)

Explainability-based graph augmentation for out-of-distribution robustness in digital pathology. - Saba Heidari Gheshlaghi; Milan Aryal; Nasim Yahya Soltani; Masoud Ganji (Knowl. Based Syst., 2025)