Dr. Gene Pennello Profile

Dr. Gene Pennello

at Food and Drug Administration

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 3 April 2024 Presentation + Paper

A tool for the assessment of AI generalizability via decision space composition

Alexis Burgon, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Kenny Cha, Ravi Samala

Proceedings Volume 12927, 129271H (2024) https://doi.org/10.1117/12.3008580

KEYWORDS: Data modeling, Statistical modeling, Artificial intelligence, Performance modeling, Deep convolutional neural networks, Statistical analysis, Medical devices, Image classification, Medical imaging applications

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SPIE Journal Paper | 25 January 2024 Open Access

Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shift

Alexis Burgon, Berkman Sahiner, Nicholas Petrick, Gene Pennello, Kenny Cha, Ravi Samala

JMI, Vol. 11, Issue 01, 014501, (January 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.1.014501

KEYWORDS: Data modeling, Statistical modeling, Artificial intelligence, Education and training, Performance modeling, Interpolation, Chest imaging, Medical imaging, Medical devices, Instrument modeling

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Proceedings Article | 7 April 2023 Presentation + Paper

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

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

Proceedings Volume 12465, 124651H (2023) https://doi.org/10.1117/12.2653963

KEYWORDS: Data modeling, Education and training, Image acquisition, Image classification, Chest imaging, Performance modeling, Deep learning, Statistical modeling, Radiography, Decision making

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Proceedings Article | 4 April 2022 Presentation + Paper

Deciphering deep ensembles for lung nodule analysis

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

Proceedings Volume 12033, 120330L (2022) https://doi.org/10.1117/12.2612023

KEYWORDS: Lung, Performance modeling, Data modeling, Computed tomography, Image classification, Statistical modeling, Statistical analysis, Data processing, Convolutional neural networks, Stochastic processes

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Proceedings Article | 30 March 2007 Paper

Pooling MRMC forced-choice data

Brandon Gallas, Gene Pennello

Proceedings Volume 6515, 651506 (2007) https://doi.org/10.1117/12.709628

KEYWORDS: Error analysis, Statistical analysis, Monte Carlo methods, Binary data, Imaging devices, Computer simulations, Medical imaging, In vivo imaging, Numerical integration, Imaging systems

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