Gene Pennello

According to our database, Gene Pennello authored at least 6 papers between 2022 and 2023.

Collaborative distances:

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

2023

Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study.

Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia

CoRR, 2023

Is this model reliable for everyone? Testing for strong calibration.

Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner

CoRR, 2023

Decision region analysis to deconstruct the subgroup influence on AI/ML predictions.

Alexis Burgon, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Ravi K. Samala

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022

Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions.

Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio

CoRR, 2022

Sequential algorithmic modification with test data reuse.

Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Deciphering deep ensembles for lung nodule analysis.

Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022