Nicholas Petrick

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 42

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

CoRR

BMC Bioinform.

Publications

Aubrey A. Shick, Christina M. Webber, Nooshin Kiarashi, Jessica P. Weinberg, Aneesh Deoras, Nicholas Petrick, Anindita Saha, Matthew C. Diamond
Transparency of artificial intelligence/machine learning-enabled medical devices. npj Digit. Medicine 7 (1) (2024)
Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner
Is this model reliable for everyone? Testing for strong calibration. AISTATS (2024)
Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
Monitoring machine learning-based risk prediction algorithms in the presence of performativity. AISTATS (2024)
J. McIntosh, Qian Cao, Berkman Sahiner, Nicholas Petrick, Mohammad Mehdi Farhangi
DICaugment: A Python Package for 3D Medical Imaging Augmentation. J. Open Source Softw. 9 (96) (2024)
Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller
TorchSurv: A Lightweight Package for Deep Survival Analysis. CoRR (2024)
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. CLeaR (2024)
Ran Yan, Qian Cao, Sriharsha Marupudi, Ravi K. Samala, Nicholas Petrick
Deep learning texture analysis for the assessment of trabecular bone stiffness in CT. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2023)
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study. CoRR (2023)
Mitchell Pavlak, Nathan Drenkow, Nicholas Petrick, Mohammad Mehdi Farhangi, Mathias Unberath
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models. CoRR (2023)
Alexis Burgon, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Ravi K. Samala
Decision region analysis to deconstruct the subgroup influence on AI/ML predictions. Medical Imaging: Computer-Aided Diagnosis (2023)
Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner
Is this model reliable for everyone? Testing for strong calibration. CoRR (2023)
Mitchell Pavlak, Nathan Drenkow, Nicholas Petrick, Mohammad Mehdi Farhangi, Mathias Unberath
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models. MICCAI (3) (2023)
Brandon D. Gallas, Aldo Badano, Sarah Dudgeon, Katherine Elfer, Victor Garcia, Jochen K. Lennerz, Kyle J. Myers, Nicholas Petrick, Ed Margerrison
FDA fosters innovative approaches in research, resources and collaboration. Nat. Mach. Intell. 4 (2) (2022)
Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
Sequential algorithmic modification with test data reuse. UAI (2022)
Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions. CoRR (2022)
Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
Sequential algorithmic modification with test data reuse. CoRR (2022)
Yee Lam Elim Thompson, Gary Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, Frank W. Samuelson
Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick
Deciphering deep ensembles for lung nodule analysis. Medical Imaging: Computer-Aided Diagnosis (2022)
Trinity Cheng, Pei-Ju Chin, Kenny H. Cha, Nicholas Petrick, Mike Mikailov
Profiling the BLAST bioinformatics application for load balancing on high-performance computing clusters. BMC Bioinform. 23 (1) (2022)
Qian Cao, Nicholas Petrick, Stephanie Coquia, Kenny H. Cha, Rongping Zeng, Keith Wear, Berkman Sahiner, Qin Li
Assessment of bone fragility in projection images using radiomic features. Medical Imaging: Computer-Aided Diagnosis (2021)
Kenny H. Cha, Alexej Gossmann, Nicholas Petrick, Berkman Sahiner
Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Mike Mikailov, Junshan Qiu, Fu-Jyh Luo, Stephen Whitney, Nicholas Petrick
Scaling modeling and simulation on high-performance computing clusters. Simul. 96 (2) (2020)
Zahra Ghanian, Andreu Badal, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick, Berkman Sahiner
Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN. MLMI@MICCAI (2020)
Kenny H. Cha, Nicholas Petrick, Aria Pezeshk, Christian G. Graff, Diksha Sharma, Andreu Badal, Aldo Badano, Berkman Sahiner
Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images. Medical Imaging: Computer-Aided Diagnosis (2019)
Aria Pezeshk, Sardar Hamidian, Nicholas Petrick, Berkman Sahiner
3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT. IEEE J. Biomed. Health Informatics 23 (5) (2019)
Qi Gong, Qin Li, Marios A. Gavrielides, Nicholas Petrick
Data transformations for variance stabilization in the statistical assessment of quantitative imaging biomarkers. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Nada Kamona, Qin Li, Benjamin P. Berman, Berkman Sahiner, Nicholas Petrick
Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel. Medical Imaging: Computer-Aided Diagnosis (2019)
Yang Yang, Berkman Sahiner, Zhipeng Huang, Nicholas Petrick, Weijie Chen
Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Jiheng Wang, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk
A database for assessment of effect of lossy compression on digital mammograms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Zahra Ghanian, Aria Pezeshk, Nicholas Petrick, Berkman Sahiner
Towards the use of computationally inserted lesions for mammographic CAD assessment. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Benjamin Paul Berman, Qin Li, Sarah McKenney, Stanley Thomas Fricke, Yuan Fang, Marios A. Gavrielides, Nicholas Petrick
Quantitative characterization of liver tumor radiodensity in CT images: a phantom study between two scanners. Medical Imaging: Computer-Aided Diagnosis (2018)
Aria Pezeshk, Nicholas Petrick, Weijie Chen, Berkman Sahiner
Seamless Lesion Insertion for Data Augmentation in CAD Training. IEEE Trans. Medical Imaging 36 (4) (2017)
Mike Mikailov, Fu-Jyh Luo, Stuart Barkley, Lohit Valleru, Stephen Whitney, Zhichao Liu, Shraddha Thakkar, Weida Tong, Nicholas Petrick
Scaling bioinformatics applications on HPC. BMC Bioinform. 18 (14) (2017)
Sardar Hamidian, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk
3D convolutional neural network for automatic detection of lung nodules in chest CT. Medical Imaging: Computer-Aided Diagnosis (2017)
Qin Li, Benjamin P. Berman, Justin Schumacher, Yongguang Liang, Marios A. Gavrielides, Hao Yang, Binsheng Zhao, Nicholas Petrick
The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom study. Medical Imaging: Computer-Aided Diagnosis (2017)
Berkman Sahiner, Weijie Chen, Aria Pezeshk, Nicholas Petrick
Semi-parametric estimation of the area under the precision-recall curve. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Aria Pezeshk, Nicholas Petrick, Berkman Sahiner
Seamless lesion insertion in digital mammography: methodology and reader study. Medical Imaging: Computer-Aided Diagnosis (2016)
Shijun Wang, Diana Li, Nicholas Petrick, Berkman Sahiner, Marius George Linguraru, Ronald M. Summers
Optimizing area under the ROC curve using semi-supervised learning. Pattern Recognit. 48 (1) (2015)
Kevin M. Boehm, Shijun Wang, Karen E. Burtt, Baris Turkbey, Samuel Weisenthal, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer. Medical Imaging: Computer-Aided Diagnosis (2015)
Qin Li, Marios A. Gavrielides, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Nicholas Petrick
Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study. Medical Imaging: Computer-Aided Diagnosis (2015)
Aria Pezeshk, Berkman Sahiner, Weijie Chen, Nicholas Petrick
Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams. Medical Imaging: Computer-Aided Diagnosis (2015)
Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick
Seamless Insertion of Pulmonary Nodules in Chest CT Images. IEEE Trans. Biomed. Eng. 62 (12) (2015)
Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick
Seamless insertion of real pulmonary nodules in chest CT exams. Medical Imaging: Computer-Aided Diagnosis (2014)
Qin Li, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Marios A. Gavrielides, Nicholas Petrick
Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT. IPMI (2013)
Berkman Sahiner, Xin He, Weijie Chen, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick
Neural network training by maximization of the area under the ROC curve: application to characterization of masses on breast ultrasound as malignant or benign. Medical Imaging: Computer-Aided Diagnosis (2013)
Shijun Wang, Matthew McKenna, Nicholas Petrick, Berkman Sahiner, Marius George Linguraru, Zhuoshi Wei, Jianhua Yao, Ronald M. Summers
ROC-like optimization by sample ranking: Application to CT colonography. ISBI (2012)
Zhuoshi Wei, Shijun Wang, Nicholas Petrick, Jianhua Yao, Senthil Periaswamy, Ronald M. Summers
Supine and prone CT colonography registration by matching graphs of teniae coli. ISBI (2012)
Shijun Wang, Matthew McKenna, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning. IEEE Trans. Medical Imaging 31 (5) (2012)
Jiamin Liu, Jeremy Hua, Vivek Chellappa, Nicholas Petrick, Berkman Sahiner, Mohammed Farooqui, Gerald Marti, Adrian Wiestner, Ronald M. Summers
Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients. Medical Imaging: Computer-Aided Diagnosis (2012)
Matthew T. McKenna, Shijun Wang, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
Computer vision approach to detect colonic polyps in computed tomographic colonography. Medical Imaging: Computer-Aided Diagnosis (2012)
Matthew McKenna, Shijun Wang, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Ronald M. Summers
Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence. Medical Image Anal. 16 (6) (2012)
Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Zhuoshi Wei, Ronald M. Summers
Matching 3-D Prone and Supine CT Colonography Scans Using Graphs. IEEE Trans. Inf. Technol. Biomed. 16 (4) (2012)
Nicholas Petrick, Hyun J. Grace Kim, David A. Clunie, Kristin Borradaile, Robert Ford, Rongping Zeng, Marios A. Gavrielides, Michael F. McNitt-Gray, Charles Fenimore, Z. Q. John Lu, Binsheng Zhao, Andrew J. Buckler
Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging. Medical Imaging: Computer-Aided Diagnosis (2011)
Shijun Wang, Vishal Anugu, Tan B. Nguyen, Natalie Rose, Joseph E. Burns, Matthew McKenna, Nicholas Petrick, Ronald M. Summers
Fusion of machine intelligence and human intelligence for colonic polyp detection in CT colonography. ISBI (2011)
Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Ronald M. Summers
3D supine and prone colon registration for computed tomographic colonography scans based on graph matching. Medical Imaging: Computer-Aided Diagnosis (2011)
Rongping Zeng, Nicholas Petrick, Marios A. Gavrielides, Kyle J. Myers
Approximations of noise structures in helical multi-detector CT scans: application to lung nodule volume estimation. Medical Imaging: Computer-Aided Diagnosis (2010)
Shijun Wang, Jianhua Yao, Nicholas Petrick, Ronald M. Summers
Matching colonic polyps using correlation optimized warping. Medical Imaging: Computer-Aided Diagnosis (2010)
Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Ronald M. Summers
Graph matching based on mean field theory. ICIP (2010)
Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara
Improving polyp detection algorithms for CT colonography: Pareto front approach. Pattern Recognit. Lett. 31 (11) (2010)
Marios A. Gavrielides, Lisa M. Kinnard, Kyle J. Myers, Rongping Zeng, Nicholas Petrick
FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development. Medical Imaging: Computer-Aided Diagnosis (2010)
Marios A. Gavrielides, Rongping Zeng, Lisa Kinnard, Kyle J. Myers, Nicholas Petrick
Information-Theoretic Approach for Analyzing Bias and Variance in Lung Nodule Size Estimation With CT: A Phantom Study. IEEE Trans. Medical Imaging 29 (10) (2010)
Shijun Wang, Jianhua Yao, Nicholas Petrick, Ronald M. Summers
Combining Statistical and Geometric Features for Colonic Polyp Detection in Ctc Based on Multiple Kernel Learning. Int. J. Comput. Intell. Appl. 9 (1) (2010)
Lisa M. Kinnard, Marios A. Gavrielides, Kyle J. Myers, Rongping Zeng, B. Whiting, Sheng Lin-Gibson, Nicholas Petrick
Micro CT based truth estimation of nodule volume. Medical Imaging: Computer-Aided Diagnosis (2010)
Shijun Wang, Jianhua Yao, Jiamin Liu, Nicholas Petrick, Ronald M. Summers
Centerline Registration of Prone and Supine CT Colonography Scans Based on Correlation Optimized Warping and Anatomical Landmarks. ISBI (2009)
Hela Masmoudi, Stephen M. Hewitt, Nicholas Petrick, Kyle J. Myers, Marios A. Gavrielides
Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer. IEEE Trans. Medical Imaging 28 (6) (2009)
Marios A. Gavrielides, Rongping Zeng, Lisa M. Kinnard, Kyle J. Myers, Nicholas Petrick
A template-based approach for the analysis of lung nodules in a volumetric CT phantom study. Medical Imaging: Computer-Aided Diagnosis (2009)
Lisa M. Kinnard, Marios A. Gavrielides, Kyle J. Myers, Rongping Zeng, Jennifer Peregoy, William F. Pritchard, John W. Karanian, Nicholas Petrick
Volume error analysis for lung nodules attached to pulmonary vessels in an anthropomorphic thoracic phantom. Medical Imaging: Computer-Aided Diagnosis (2008)
Marios A. Gavrielides, Hela Masmoudi, Nicholas Petrick, Kyle J. Myers, Stephen M. Hewitt
Automated evaluation of HER-2/neu immunohistochemical expression in breast cancer using digital microscopy. ISBI (2008)
Marios A. Gavrielides, Nicholas Petrick, Kyle J. Myers
Automated alignment of serial thoracic scans using bone structure descriptors. Medical Imaging: Computer-Aided Diagnosis (2007)
Frank W. Samuelson, Nicholas Petrick, Sophie Paquerault
Advantages and Examples of Resampling for Cad Evaluation. ISBI (2007)
Jiang Li, Adam Huang, Nicholas Petrick, Jianhua Yao, Ronald M. Summers
Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography. Medical Imaging: Computer-Aided Diagnosis (2007)
Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara
Using Pareto fronts to evaluate polyp detection algorithms for CT colonography. Medical Imaging: Computer-Aided Diagnosis (2007)
Jiang Li, Jianhua Yao, Nicholas Petrick, Ronald M. Summers, Amy K. Hara
Hybrid committee classifier for a computerized colonic polyp detection system. Medical Imaging: Image Processing (2006)
Marios A. Gavrielides, Nicholas Petrick, Kyle J. Myers
Alignment of full and partial CT thoracic scans using bony structures. Medical Imaging: Image Processing (2006)
Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas Petrick, Michael T. Manry, Amy K. Hara
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection. Int. J. Artif. Intell. Tools 15 (6) (2006)
Jiang Li, Marek Franaszek, Nicholas Petrick, Jianhua Yao, Adam Huang, Ronald M. Summers
Wavelet method for CT colonography computer-aided polyp detection. ISBI (2006)
Sophie Paquerault, Nicholas Petrick, Berkman Sahiner, Kyle J. Myers, Heang-Ping Chan
Potential improvement of computerized mass detection on mammograms using a bilateral pairing technique. Medical Imaging: Image Processing (2006)
Frank W. Samuelson, Nicholas Petrick
Comparing image detection algorithms using resampling. ISBI (2006)
Nicholas Petrick, Kyle J. Myers, Sophie Paquerault, Frank W. Samuelson, Brandon D. Gallas, Robert F. Wagner
Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal. Digital Mammography / IWDM (2006)
Jiang Li, Adam Huang, Jianhua Yao, Ingmar Bitter, Nicholas Petrick, Ronald M. Summers, Perry J. Pickhardt, J. Richard Choi
Automatic colonic polyp detection using multi-objective evolutionary techniques. Medical Imaging: Image Processing (2006)
Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Nicholas Petrick, Jun Ge, Chuan Zhou
Computer-aided detection of breast masses on mammograms: performance improvement using a dual system. Medical Imaging: Image Processing (2005)
Lubomir M. Hadjiiski, Mark A. Helvie, Berkman Sahiner, Heang-Ping Chan, Marilyn A. Roubidoux, Alexis V. Nees, Nicholas Petrick, Caroline E. Blane, Chintana Paramagul, Janet E. Bailey, Stephanie Patterson, Katherine Klein, Dorit D. Adler, Michelle Foster, Joseph Shen
ROC study of the effects of computer-aided interval change analysis on radiologists' characterization of breast masses in two-view serial mammograms. Medical Imaging: Image Processing (2004)
Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Chuan Zhou, Zhanyu Ge
Computer-aided detection of breast masses on full-field digital mammograms: false positive reduction using gradient field analysis. Medical Imaging: Image Processing (2004)
Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Nicholas Petrick, Chuan Zhou
Design of three-class classifiers in computer-aided diagnosis: Monte Carlo simulation study. Medical Imaging: Image Processing (2003)
Berkman Sahiner, Aditya Ramachandran, Heang-Ping Chan, Marilyn A. Roubidoux, Lubomir M. Hadjiiski, Mark A. Helvie, Nicholas Petrick, Chuan Zhou
Three-dimensional active contour model for characterization of solid breast masses on three-dimensional ultrasound images. Medical Imaging: Image Processing (2003)
Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Marilyn A. Roubidoux, Caroline E. Blane, Chintana Paramagul, Nicholas Petrick, Janet E. Bailey, Katherine Klein, Michelle Foster, Stephanie Patterson, Dorit D. Adler, Alexis V. Nees, Joseph Shen
ROC study: effects of computer-aided diagnosis on radiologists' characterization of malignant and benign breast masses in temporal pairs of mammograms. Medical Imaging: Image Processing (2003)
Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Marilyn A. Roubidoux, Metin Nafi Gürcan
Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features. Medical Imaging: Image Processing (2002)
Berkman Sahiner, Metin Nafi Gürcan, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie
Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy. Medical Imaging: Image Processing (2002)
Metin Nafi Gürcan, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie
Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications. Medical Imaging: Image Processing (2002)
Berkman Sahiner, Nicholas Petrick, Heang-Ping Chan, Sophie Paquerault, Mark A. Helvie, Lubomir M. Hadjiiski
Recognition of lesion correspondence on two mammographic views: a new method of false-positive reduction for computerized mass detection. Medical Imaging: Image Processing (2001)
Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Metin Nafi Gürcan
Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses. Medical Imaging: Image Processing (2001)
Berkman Sahiner, Nicholas Petrick, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Metin N. Gurcan
Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on Characterization. IEEE Trans. Medical Imaging 20 (12) (2001)
Metin Nafi Gürcan, Nicholas Petrick, Berkman Sahiner, Heang-Ping Chan, Philip N. Cascade, Ella A. Kazerooni, Lubomir M. Hadjiiski
Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction. Medical Imaging: Image Processing (2001)
Sophie Paquerault, Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner
Improvement of mammographic lesion detection by fusion of information from different views. Medical Imaging: Image Processing (2001)
Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Sophie Paquerault, Chuan Zhou
Interval change analysis in temporal pairs of mammograms using a local affine transformation. Medical Imaging: Image Processing (2000)
Chuan Zhou, Heang-Ping Chan, Nicholas Petrick, Berkman Sahiner, Mark A. Helvie, Marilyn A. Roubidoux, Lubomir M. Hadjiiski, Mitchell M. Goodsitt
Computerized image analysis: estimation of breast density on mammograms. Medical Imaging: Image Processing (2000)
Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Sophie Paquerault
Evaluation of an automated computer-aided diagnosis system for the detection of masses on prior mammograms. Medical Imaging: Image Processing (2000)
Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Robert F. Wagner, Lubomir M. Hadjiiski
Stepwise linear discriminant analysis in computer-aided diagnosis: the effect of finite sample size. Medical Imaging: Image Processing (1999)
Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie
Hybrid unsupervised-supervised approach for computerized classification of malignant and benign masses on mammograms. Medical Imaging: Image Processing (1999)
Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie
Classification of Malignant and Benign Masses Based on Hybrid ART2LDA Approach. IEEE Trans. Medical Imaging 18 (12) (1999)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicholas Petrick