Jana G. Delfino

According to our database, Jana G. Delfino authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Synthetic skin image generation using a physics-based, object-to-image computational pipeline.

Elena Sizikova, Niloufar Saharkhiz, Andrea Seung Kim, Miguel A. Lago, Jana G. Delfino, Aldo Badano

Int. J. Comput. Assist. Radiol. Surg., April, 2026

Image Quality in the Era of Artificial Intelligence.

Jana G. Delfino, Jason L. Granstedt, Frank W. Samuelson, Robert Ochs, Krishna Juluru

CoRR, February, 2026

Identifying Digital Mammography Artifacts Through Interpretable Feature-Based Anomaly Detection.

Tahsin Rahman, Jason L. Granstedt, Jana G. Delfino, Aldo Badano, Seyed Kahaki

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Knowledge-based anomaly detection for identifying network-induced shape artifacts.

Rucha Deshpande, Tahsin Rahman, Miguel A. Lago, Adarsh Subbaswamy, Jana G. Delfino, Ghada Zamzmi, Yee Lam Elim Thompson, Aldo Badano, Seyed Kahaki

CoRR, November, 2025

Impact of AI-Triage on Radiologist Report Turnaround Time: Real-World Time-Savings and Insights from Model Predictions.

Yee Lam Elim Thompson, Jonathan Fergus, Jonathan H. Chung, Jana G. Delfino, Weijie Chen, Gary M. Levine, Frank W. Samuelson

CoRR, October, 2025

T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images.

Christopher Wiedeman, Anastasiia Sarmakeeva, Elena Sizikova, Daniil Filienko, Miguel A. Lago, Jana G. Delfino, Aldo Badano

CoRR, July, 2025

Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features.

Miguel A. Lago, Ghada Zamzmi, Brandon Eich, Jana G. Delfino

CoRR, June, 2025

Out-of-Distribution Detection and Radiological Data Monitoring Using Statistical Process Control.

Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino

J. Imaging Inform. Medicine, 2025

Forecasting Changes in the Data Characteristics of AI Models.

Elly Konjkav, Ghada Zamzmi, Jana G. Delfino

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Comparative Plausibility Evaluation of Heatmaps for Vision Transformers in Digital Mammography.

Ramsha Aasim, Ghada Zamzmi, Jana G. Delfino, Joseph F. JáJá, Miguel A. Lago

Proceedings of the Second Workshop on Second Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

2024

Applying queueing theory to evaluate wait-time-savings of triage algorithms.

Yee Lam Elim Thompson, Gary M. Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, Jana G. Delfino, Miguel A. Lago, Qian Cao, Frank W. Samuelson

Queueing Syst. Theory Appl., December, 2024

Synthetic Data in Radiological Imaging: Current State and Future Outlook.

Elena Sizikova, Andreu Badal, Jana G. Delfino, Miguel A. Lago, Brandon Nelson, Niloufar Saharkhiz, Berkman Sahiner, Ghada Zamzmi, Aldo Badano

CoRR, 2024

Scorecards for Synthetic Medical Data Evaluation and Reporting.

Ghada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, Ed Margerrison, Jana G. Delfino, Aldo Badano

CoRR, 2024

Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control.

Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino

CoRR, 2024

S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images.

Andrea Seung Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts.

Aldo Badano, Miguel A. Lago, Elena Sizikova, Jana G. Delfino, Shuyue Guan, Mark A. Anastasio, Berkman Sahiner

CoRR, 2023

Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses.

Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023