Nicholas Petrick

Orcid: 0000-0001-5167-8899

According to our database1, Nicholas Petrick authored at least 106 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Transparency of artificial intelligence/machine learning-enabled medical devices.
npj Digit. Medicine, 2024

2023
Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study.
CoRR, 2023

Is this model reliable for everyone? Testing for strong calibration.
CoRR, 2023

Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Decision region analysis to deconstruct the subgroup influence on AI/ML predictions.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Deep learning texture analysis for the assessment of trabecular bone stiffness in CT.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

2022
FDA fosters innovative approaches in research, resources and collaboration.
Nat. Mach. Intell., 2022

Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions.
CoRR, 2022

Profiling the BLAST bioinformatics application for load balancing on high-performance computing clusters.
BMC Bioinform., 2022

Sequential algorithmic modification with test data reuse.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

Deciphering deep ensembles for lung nodule analysis.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
Assessment of bone fragility in projection images using radiomic features.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Scaling modeling and simulation on high-performance computing clusters.
Simul., 2020

Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help.
Proceedings of the Medical Imaging 2020: Image Perception, 2020

Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019
3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT.
IEEE J. Biomed. Health Informatics, 2019

Data transformations for variance stabilization in the statistical assessment of quantitative imaging biomarkers.
Proceedings of the Medical Imaging 2019: Image Perception, 2019

Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study.
Proceedings of the Medical Imaging 2018: Image Perception, 2018

A database for assessment of effect of lossy compression on digital mammograms.
Proceedings of the Medical Imaging 2018: Image Perception, 2018

Towards the use of computationally inserted lesions for mammographic CAD assessment.
Proceedings of the Medical Imaging 2018: Image Perception, 2018

Quantitative characterization of liver tumor radiodensity in CT images: a phantom study between two scanners.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Seamless Lesion Insertion for Data Augmentation in CAD Training.
IEEE Trans. Medical Imaging, 2017

Scaling bioinformatics applications on HPC.
BMC Bioinform., 2017

The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom study.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

3D convolutional neural network for automatic detection of lung nodules in chest CT.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Semi-parametric estimation of the area under the precision-recall curve.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

Seamless lesion insertion in digital mammography: methodology and reader study.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015
Seamless Insertion of Pulmonary Nodules in Chest CT Images.
IEEE Trans. Biomed. Eng., 2015

Optimizing area under the ROC curve using semi-supervised learning.
Pattern Recognit., 2015

Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014
Seamless insertion of real pulmonary nodules in chest CT exams.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013
Neural network training by maximization of the area under the ROC curve: application to characterization of masses on breast ultrasound as malignant or benign.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning.
IEEE Trans. Medical Imaging, 2012

Matching 3-D Prone and Supine CT Colonography Scans Using Graphs.
IEEE Trans. Inf. Technol. Biomed., 2012

Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence.
Medical Image Anal., 2012

Computer vision approach to detect colonic polyps in computed tomographic colonography.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Supine and prone CT colonography registration by matching graphs of teniae coli.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

ROC-like optimization by sample ranking: Application to CT colonography.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
3D supine and prone colon registration for computed tomographic colonography scans based on graph matching.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Fusion of machine intelligence and human intelligence for colonic polyp detection in CT colonography.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Information-Theoretic Approach for Analyzing Bias and Variance in Lung Nodule Size Estimation With CT: A Phantom Study.
IEEE Trans. Medical Imaging, 2010

Improving polyp detection algorithms for CT colonography: Pareto front approach.
Pattern Recognit. Lett., 2010

Combining Statistical and Geometric Features for Colonic Polyp Detection in Ctc Based on Multiple Kernel Learning.
Int. J. Comput. Intell. Appl., 2010

Approximations of noise structures in helical multi-detector CT scans: application to lung nodule volume estimation.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Matching colonic polyps using correlation optimized warping.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Micro CT based truth estimation of nodule volume.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Graph matching based on mean field theory.
Proceedings of the International Conference on Image Processing, 2010

2009
Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer.
IEEE Trans. Medical Imaging, 2009

Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

A template-based approach for the analysis of lung nodules in a volumetric CT phantom study.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Centerline Registration of Prone and Supine CT Colonography Scans Based on Correlation Optimized Warping and Anatomical Landmarks.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Volume error analysis for lung nodules attached to pulmonary vessels in an anthropomorphic thoracic phantom.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Automated evaluation of HER-2/neu immunohistochemical expression in breast cancer using digital microscopy.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Using Pareto fronts to evaluate polyp detection algorithms for CT colonography.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Automated alignment of serial thoracic scans using bone structure descriptors.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Advantages and Examples of Resampling for Cad Evaluation.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection.
Int. J. Artif. Intell. Tools, 2006

Potential improvement of computerized mass detection on mammograms using a bilateral pairing technique.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Hybrid committee classifier for a computerized colonic polyp detection system.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Automatic colonic polyp detection using multi-objective evolutionary techniques.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Alignment of full and partial CT thoracic scans using bony structures.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal.
Proceedings of the Digital Mammography, 2006

Comparing image detection algorithms using resampling.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Wavelet method for CT colonography computer-aided polyp detection.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005
Computer-aided detection of breast masses on mammograms: performance improvement using a dual system.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004
ROC study of the effects of computer-aided interval change analysis on radiologists' characterization of breast masses in two-view serial mammograms.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

Computer-aided detection of breast masses on full-field digital mammograms: false positive reduction using gradient field analysis.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

2003
Three-dimensional active contour model for characterization of solid breast masses on three-dimensional ultrasound images.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

ROC study: effects of computer-aided diagnosis on radiologists' characterization of malignant and benign breast masses in temporal pairs of mammograms.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

Design of three-class classifiers in computer-aided diagnosis: Monte Carlo simulation study.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002
Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

2001
Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on Characterization.
IEEE Trans. Medical Imaging, 2001

Recognition of lesion correspondence on two mammographic views: a new method of false-positive reduction for computerized mass detection.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

Improvement of mammographic lesion detection by fusion of information from different views.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

2000
Computerized image analysis: estimation of breast density on mammograms.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

Evaluation of an automated computer-aided diagnosis system for the detection of masses on prior mammograms.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

Interval change analysis in temporal pairs of mammograms using a local affine transformation.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

1999
Classification of Malignant and Benign Masses Based on Hybrid ART2LDA Approach.
IEEE Trans. Medical Imaging, 1999

Components of variance in ROC analysis of CADx classifier performance: II. Applications of the bootstrap.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

Stepwise linear discriminant analysis in computer-aided diagnosis: the effect of finite sample size.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

Hybrid unsupervised-supervised approach for computerized classification of malignant and benign masses on mammograms.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

1998
Components of variance in ROC analysis of CADx classifier performance.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

Regional mammogram registration technique for automated analysis of interval changes of breast lesions.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

Computerized characterization of breast masses using three-dimensional ultrasound images.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

Effects of sample size on classifier design for computer-aided diagnosis.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

1997
Neural network based segmentation using a priori image models.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Neural network design for optimization of the partial area under the receiver operating characteristic curve.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images.
IEEE Trans. Medical Imaging, 1996

An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection.
IEEE Trans. Medical Imaging, 1996

Classification of masses on mammograms using rubber-band straightening transform and feature analysis.
Proceedings of the Medical Imaging 1996: Image Processing, 1996

Effects of pixel size on classification of microcalcifications on digitized mammograms.
Proceedings of the Medical Imaging 1996: Image Processing, 1996

1995
Detection of masses on mammograms using a convolution neural network.
Proceedings of the 1995 International Conference on Acoustics, 1995


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