Motor Imagery: A Review of Existing Techniques, Challenges and Potentials. - Olawunmi George; Roger Smith; Praveen Madiraju; Nasim Yahyasoltani; Sheikh Iqbal Ahamed (COMPSAC, 2021)

Learning Performance Efficiency of College Basketball Players. - Nasim Yahyasoltani; Manzur Farazi; Priyanka Annapureddy (HPCC/DSS/SmartCity/DependSys, 2021)

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

State-of-the-Art Versus Deep Learning: A Comparative Study of Motor Imagery Decoding Techniques. - Olawunmi George; Sarthak Dabas; Abdur Sikder; Roger O. Smith; Praveen Madiraju; Nasim Yahyasoltani; Sheikh Iqbal Ahamed (IEEE Access, 2022)

Robust and Transferable Graph Neural Networks for Medical Images. - Saba Heidari Gheshlaghi; Nasim Yahyasoltani (ICMLA, 2023)

Learning Performance Efficiency of College Basketball Players Using TVAE. - Nasim Yahyasoltani; Priyanka Annapureddy; Manzur Farazi (IEEE Access, 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)

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