Picture for Berkman Sahiner

Berkman Sahiner

Image registration based automated lesion correspondence pipeline for longitudinal CT data

Add code
Apr 25, 2024
Viaarxiv icon

TorchSurv: A Lightweight Package for Deep Survival Analysis

Add code
Apr 17, 2024
Figure 1 for TorchSurv: A Lightweight Package for Deep Survival Analysis
Figure 2 for TorchSurv: A Lightweight Package for Deep Survival Analysis
Viaarxiv icon

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

Add code
Feb 12, 2024
Figure 1 for Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control
Figure 2 for Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control
Figure 3 for Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control
Figure 4 for Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control
Viaarxiv icon

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

Add code
Nov 20, 2023
Viaarxiv icon

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

Add code
Oct 27, 2023
Figure 1 for Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses
Figure 2 for Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses
Figure 3 for Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses
Figure 4 for Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses
Viaarxiv icon

Is this model reliable for everyone? Testing for strong calibration

Add code
Jul 28, 2023
Figure 1 for Is this model reliable for everyone? Testing for strong calibration
Figure 2 for Is this model reliable for everyone? Testing for strong calibration
Figure 3 for Is this model reliable for everyone? Testing for strong calibration
Figure 4 for Is this model reliable for everyone? Testing for strong calibration
Viaarxiv icon

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

Add code
Nov 17, 2022
Figure 1 for Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions
Figure 2 for Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions
Figure 3 for Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions
Figure 4 for Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions
Viaarxiv icon

Sequential algorithmic modification with test data reuse

Add code
Mar 21, 2022
Figure 1 for Sequential algorithmic modification with test data reuse
Figure 2 for Sequential algorithmic modification with test data reuse
Figure 3 for Sequential algorithmic modification with test data reuse
Figure 4 for Sequential algorithmic modification with test data reuse
Viaarxiv icon

Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees

Add code
Oct 13, 2021
Figure 1 for Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees
Figure 2 for Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees
Figure 3 for Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees
Figure 4 for Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees
Viaarxiv icon