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Jana G. Delfino
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- 2026
[j3]Elena Sizikova
, Niloufar Saharkhiz, Andrea Seung Kim, Miguel A. Lago, Jana G. Delfino, Aldo Badano:
Synthetic skin image generation using a physics-based, object-to-image computational pipeline. Int. J. Comput. Assist. Radiol. Surg. 21(4): 703-710 (2026)
[c5]Tahsin Rahman, Jason L. Granstedt, Jana G. Delfino, Aldo Badano, Seyed Kahaki:
Identifying Digital Mammography Artifacts Through Interpretable Feature-Based Anomaly Detection. ISBI 2026: 1-4
[i11]Jana G. Delfino, Jason L. Granstedt, Frank W. Samuelson, Robert Ochs, Krishna Juluru:
Image Quality in the Era of Artificial Intelligence. CoRR abs/2602.09347 (2026)- 2025
[j2]Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson
, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino:
Out-of-Distribution Detection and Radiological Data Monitoring Using Statistical Process Control. J. Imaging Inform. Medicine 38(2): 997-1015 (2025)
[c4]Ramsha Aasim, Ghada Zamzmi, Jana G. Delfino, Joseph F. JáJá, Miguel A. Lago:
Comparative Plausibility Evaluation of Heatmaps for Vision Transformers in Digital Mammography. EXPLIMED@ECAI 2025
[c3]Elly Konjkav, Ghada Zamzmi, Jana G. Delfino:
Forecasting Changes in the Data Characteristics of AI Models. ISBI 2025: 1-5
[i10]Miguel A. Lago, Ghada Zamzmi, Brandon Eich, Jana G. Delfino:
Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features. CoRR abs/2506.13917 (2025)
[i9]Christopher Wiedeman, Anastasiia Sarmakeeva, Elena Sizikova, Daniil Filienko, Miguel A. Lago, Jana G. Delfino, Aldo Badano:
T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images. CoRR abs/2507.04038 (2025)
[i8]Yee Lam Elim Thompson, Jonathan Fergus, Jonathan H. Chung, Jana G. Delfino, Weijie Chen, Gary M. Levine, Frank W. Samuelson:
Impact of AI-Triage on Radiologist Report Turnaround Time: Real-World Time-Savings and Insights from Model Predictions. CoRR abs/2510.15237 (2025)
[i7]Rucha Deshpande, Tahsin Rahman, Miguel A. Lago, Adarsh Subbaswamy, Jana G. Delfino, Ghada Zamzmi, Yee Lam Elim Thompson, Aldo Badano, Seyed Kahaki:
Knowledge-based anomaly detection for identifying network-induced shape artifacts. CoRR abs/2511.04729 (2025)- 2024
[j1]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:
Applying queueing theory to evaluate wait-time-savings of triage algorithms. Queueing Syst. Theory Appl. 108(3-4): 579-610 (2024)
[c2]Andrea Seung Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano:
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. MICCAI (3) 2024: 734-744
[i6]Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino:
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control. CoRR abs/2402.08088 (2024)
[i5]Ghada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, Ed Margerrison, Jana G. Delfino, Aldo Badano:
Scorecards for Synthetic Medical Data Evaluation and Reporting. CoRR abs/2406.11143 (2024)
[i4]Elena Sizikova, Andreu Badal, Jana G. Delfino, Miguel A. Lago, Brandon Nelson, Niloufar Saharkhiz, Berkman Sahiner, Ghada Zamzmi, Aldo Badano:
Synthetic Data in Radiological Imaging: Current State and Future Outlook. CoRR abs/2407.01561 (2024)
[i3]Andrea Seung Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano:
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. CoRR abs/2408.00191 (2024)- 2023
[c1]Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano:
Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses. NeurIPS 2023
[i2]Aldo Badano, Miguel A. Lago, Elena Sizikova, Jana G. Delfino, Shuyue Guan, Mark A. Anastasio, Berkman Sahiner:
The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts. CoRR abs/2301.08719 (2023)
[i1]Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano:
Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses. CoRR abs/2310.18494 (2023)
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last updated on 2026-06-23 01:22 CEST by the dblp team
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