N. Petrick

PROPOSED REGULATORY FRAMEWORK FOR MODIFICATIONS TO ARTIFICIAL INTELLIGENCE/MACHINE LEARNING (AI/ML)- BASED SOFTWARE AS A MEDICAL DEVICE (SAMD) IN US
202569 citationsauthor #8
Applying queueing theory to evaluate wait-time-savings of triage algorithms
20248 citationsauthor #6
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
20243 citationsauthor #8
Effect of semantic distribution shift on AI knowledge retention in a sequential training paradigm
20240 citationsauthor #3
Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shift
20243 citationsauthor #3
Training CADe algorithms with synthetic datasets: augmenting clinical data for improved lung nodule detection
20240 citationsauthor #4
TorchSurv: A Lightweight Package for Deep Survival Analysis
20247 citationsauthor #5
Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods
20241 citationsauthor #3
Manipulation of sources of bias in AI device development
20241 citationsauthor #4
A comparison of Bayesian and score methods for interval estimates of positive/negative likelihood ratios in support of diagnostic device performance evaluation
20241 citationsauthor #3
Exploring synthetic datasets for computer-aided detection: a case study using phantom scan data for enhanced lung nodule false positive reduction
20240 citationsauthor #6
Assessment of machine learning algorithms for TILs scoring using whole slide images: comparison with pathologists
20241 citationsauthor #4
Image registration based automated lesion correspondence pipeline for longitudinal CT data
20240 citationsauthor #7
Deep learning-based ROI detection of AEH and EC on histopathology WSIs for predicting hormonal treatment response
20240 citationsauthor #5
A tool for the assessment of AI generalizability via decision space composition
20240 citationsauthor #2
Monitoring machine learning-based risk prediction algorithms in the presence of performativity
20247 citationsauthor #4
DICaugment: A Python Package for 3D Medical Imaging Augmentation
20240 citationsauthor #4
AI and machine learning in medical imaging: key points from development to translation.
202420 citationsauthor #6
Regulatory considerations for medical imaging AI/ML devices in the United States: concepts and challenges
202324 citationsauthor #1
Multi-omics investigation on the prognostic and predictive factors in metastatic breast cancer using data from Phase III ribociclib clinical trials: A statistical and machine learning analysis plan
20232 citationsauthor #41
Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study
20234 citationsauthor #5
Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images
20233 citationsauthor #6
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
20237 citationsauthor #8
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models
20236 citationsauthor #3
Evaluation of wait time saving effectiveness of triage algorithms
20233 citationsauthor #6
Deep learning texture analysis for the assessment of trabecular bone stiffness in CT
20231 citationsauthor #5
Semi-supervised training using cooperative labeling of weakly annotated data for nodule detection in chest CT.
20236 citationsauthor #6
Data drift in medical machine learning: implications and potential remedies.
2023155 citationsauthor #4
Is this model reliable for everyone? Testing for strong calibration
20236 citationsauthor #4
Decision region analysis to deconstruct the subgroup influence on AI/ML predictions
20232 citationsauthor #2
Towards appropriate use of test phantoms in training deep learning models for mammographic image conversion
20230 citationsauthor #3
Deciphering deep ensembles for lung nodule analysis
20221 citationsauthor #6
Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory
20224 citationsauthor #6
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions
20223 citationsauthor #4
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
202270 citationsauthor #15
Sequential algorithmic modification with test data reuse
20225 citationsauthor #3
SPIE-AAPM-NCI BreastPathQ Challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment
202139 citationsauthor #1
Automatic Lung Nodule Detection in Thoracic CT Scans Using Dilated Slice-Wise Convolutions.
202111 citationsauthor #3
Pathologist Concordance for Ovarian Carcinoma Subtype Classification and Identification of Relevant Histologic Features Using Microscope and Whole Slide Imaging: A Multisite Observer Study.
20217 citationsauthor #12
Assessment of bone fragility in projection images using radiomic features
20211 citationsauthor #2
Analytical and Clinical Validation
20216 citationsauthor #1
Introduction to Special Issue on Datasets hosted in The Cancer Imaging Archive (TCIA).
202013 citationsauthor #3
Scaling modeling and simulation on high-performance computing clusters
20203 citationsauthor #5
Recurrent Attention Network for False Positive Reduction in the Detection of Pulmonary Nodules in Thoracic CT Scans.
202018 citationsauthor #2
Discussion on “Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep” by Jean Feng, Scott Emerson, and Noah Simon
20203 citationsauthor #4
Data transformations for statistical assessment of quantitative imaging biomarkers: Application to lung nodule volumetry
20202 citationsauthor #4
Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help
20200 citationsauthor #3
Impact of prevalence and case distribution in lab-based diagnostic imaging studies
201910 citationsauthor #5
Data transformations for variance stabilization in the statistical assessment of quantitative imaging biomarkers
20191 citationsauthor #4
3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT
201991 citationsauthor #3
A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop.
2019106 citationsauthor #6
Discrimination of Pulmonary Nodule Volume Change for Low- and High-contrast Tasks in a Phantom CT Study with Low-dose Protocols.
20198 citationsauthor #9
Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images
201910 citationsauthor #2
Evaluation of Simulated Lesions as Surrogates to Clinical Lesions for Thoracic CT Volumetry: The Results of an International Challenge.
20194 citationsauthor #7
Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning
201937 citationsauthor #2
Scaling and Parallelization of Big Data Analysis on HPC and Cloud Systems
20191 citationsauthor #2
Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel
20191 citationsauthor #5
Medical Imaging 2018: Computer-Aided Diagnosis
20187 citationsauthor #1
Computational insertion of microcalcification clusters on mammograms: reader differentiation from native clusters and computer-aided detection comparison
20183 citationsauthor #3
Coronary artery calcium quantification using contrast-enhanced dual-energy computed tomography scans in comparison with unenhanced single-energy scans
20187 citationsauthor #10
Evaluation of CAD and Radiomic Tools
20180 citationsauthor #2
Towards the use of computationally inserted lesions for mammographic CAD assessment
20182 citationsauthor #3
Quantitative characterization of liver tumor radiodensity in CT images: a phantom study between two scanners
20181 citationsauthor #7
Development of solid water phantom using wax
20180 citationsauthor #6
A database for assessment of effect of lossy compression on digital mammograms
20180 citationsauthor #3
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images
2018165 citationsauthor #6
Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study
20180 citationsauthor #4
The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom study
20173 citationsauthor #8
Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks
201748 citationsauthor #8
Convolutional Neural Network for Automatic Detection of Lung Nodules in Chest CT
201757 citationsauthor #3
Estimation of non-solid lung nodule volume with low-dose CT protocols: effect of reconstruction algorithm and measurement method
20171 citationsauthor #5
Scaling bioinformatics applications on HPC
20179 citationsauthor #9
Medical Imaging 2017: Computer-Aided Diagnosis
20175 citationsauthor #2
Seamless Lesion Insertion for Data Augmentation in CAD Training
201744 citationsauthor #2
Quantitative assessment of nonsolid pulmonary nodule volume with computed tomography in a phantom study.
201710 citationsauthor #6
Re-use of pilot data and interim analysis of pivotal data in MRMC studies: a simulation study
20172 citationsauthor #4
3D convolutional neural network for automatic detection of lung nodules in chest CT
201772 citationsauthor #3
Comparison of two classifiers when the data sets are imbalanced: the power of the area under the precision-recall curve as the figure of merit versus the area under the ROC curve
201718 citationsauthor #4
PROSTATEx: Prostate MR Classification Challenge (Conference Presentation)
20177 citationsauthor #2
Algorithm Variability in the Estimation of Lung Nodule Volume From Phantom CT Scans: Results of the QIBA 3A Public Challenge.
201619 citationsauthor #7
Semi-parametric estimation of the area under the precision-recall curve
20163 citationsauthor #4
Statistical Issues in Testing Conformance with the Quantitative Imaging Biomarker Alliance (QIBA) Profile Claims.
201632 citationsauthor #5
Seamless lesion insertion for data augmentation in CAD training.
20163 citationsauthor #2
Impact of Reconstruction Algorithms and Gender-Associated Anatomy on Coronary Calcium Scoring with CT: An Anthropomorphic Phantom Study.
201610 citationsauthor #7
Calcium scoring with dual-energy CT in men and women: an anthropomorphic phantom study
20160 citationsauthor #7
Estimating local noise power spectrum from a few FBP-reconstructed CT scans.
201616 citationsauthor #3
Volume estimation of multidensity nodules with thoracic computed tomography
20163 citationsauthor #6
Seamless lesion insertion in digital mammography: methodology and reader study
20166 citationsauthor #2
Detectable change of lung nodule volume with CT in a phantom study with high and low signal to background contrast
20166 citationsauthor #7
Calibration of medical diagnostic classifier scores to the probability of disease
201628 citationsauthor #5
Volumetry of low-contrast liver lesions with CT: Investigation of estimation uncertainties in a phantom study.
201612 citationsauthor #9
Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams
20154 citationsauthor #4
Determining the Variability of Lesion Size Measurements from CT Patient Data Sets Acquired under “No Change” Conditions12
201529 citationsauthor #7
Comparison of two stand-alone CADe systems at multiple operating points
20150 citationsauthor #4
Inter-Method Performance Study of Tumor Volumetry Assessment on Computed Tomography Test-Retest Data.
201515 citationsauthor #6
Optimizing area under the ROC curve using semi-supervised learning
201552 citationsauthor #3
Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study
20153 citationsauthor #6
Volume estimation of low-contrast lesions with CT: a comparison of performances from a phantom study, simulations and theoretical analysis
201513 citationsauthor #6
Investigation of methods for calibration of classifier scores to probability of disease
20152 citationsauthor #5
Seamless Insertion of Pulmonary Nodules in Chest CT Images
201523 citationsauthor #6

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