Nicholas Petrick

17PUBLICATIONS
63CO-AUTHORS
Software quality, processes and metricsFuzzy computationSemi- and unsupervised learningContext learningRadiation therapy
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Publications (17)

|Jun 17, 2026
Methodological considerations for evaluating deep learning segmentation models in digital pathology whole-slide images.

|Oct 24, 2025
Statistical testing of agreement in overlap-based performance between an AI segmentation device and a multi-expert human panel without requiring a reference standard.

Tingting Hu, Berkman Sahiner, Shuyue Guan

|Nov 21, 2024
A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform.

Adarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick

|Aug 09, 2024
Exploring synthetic datasets for computer-aided detection: a case study using phantom scan data for enhanced lung nodule false positive reduction.

Mohammad Mehdi Farhangi, Michael Maynord, Cornelia Fermüller

|Apr 18, 2024
Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care. A Report of a Multidisciplinary Workshop Coordinated by the RECIST Working Group.

Erica C Nakajima, Amber Simpson, Jan Bogaerts

|Mar 13, 2024
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing.

Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan

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Frequent Collaborators

7 joint publications

Kenny H Cha

4 joint publications

Ravi K Samala

3 joint publications

Brandon D Gallas

3 joint publications

Karen Drukker