Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training. - Nikolas Koutsoubis; Kyle Naddeo; Garrett Williams; George D. Lecakes; Gregory Ditzler; Nidhal C. Bouaynaya; Thomas Kiel (IJCNN, 2023)

Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation. - Nikolas Koutsoubis; Yasin Yilmaz; Ravi P. Ramachandran; Matthew B. Schabath; Ghulam Rasool 001 (CoRR, 2024)

Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review. - Nikolas Koutsoubis; Asim Waqas; Yasin Yilmaz; Ravi P. Ramachandran; Matthew B. Schabath; Ghulam Rasool 001 (CoRR, 2024)

Medical Image De-Identification Benchmark Challenge. - Linmin Pei; Sutton Granger; Michael W. Rutherford; Ulrike Wagner; Tracy S. Nolan; Kirk E. Smith; Phillip Farmer; Peter Gu; Ambar Rana; Kailing Chen; Thomas Ferleman; Brian Park; et al. (CoRR, 2025)

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction. - Kyle Naddeo; Nikolas Koutsoubis; Rahul Krish; Ghulam Rasool 001; Nidhal Bouaynaya; Tony OSullivan; Raj Krish (CoRR, 2025)