Sahiner, Berkman

7 publications

CLeaR 2024 Designing Monitoring Strategies for Deployed Machine Learning Algorithms: Navigating Performativity Through a Causal Lens Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia

AISTATS 2024 Is This Model Reliable for Everyone? Testing for Strong Calibration Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene A Pennello, Berkman Sahiner

AISTATS 2024 Monitoring Machine Learning-Based Risk Prediction Algorithms in the Presence of Performativity Jean Feng, Alexej Gossmann, Gene A Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio

NeurIPSW 2023 Knowledge-Based in Silico Models and Dataset for the Comparative Evaluation of Mammography AI Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel Lago, Berkman Sahiner, Jana Gut Delfino, Aldo Badano

NeurIPS 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 Lago, Berkman Sahiner, Jana Delfino, Aldo Badano

NeurIPSW 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

UAI 2022 Sequential Algorithmic Modification with Test Data Reuse Jean Feng, Gene Pennllo, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann