Nicholas Petrick

119 papers A 3B 30Misc 1Journal 32Unranked 52

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods. IEEE J. Biomed. Health Informatics Alexis Burgon, Yuhang Zhang, Nicholas Petrick, Berkman Sahiner, Kenny H. Cha, Ravi K. Samala
2024	J	`jnl`	A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform. npj Digit. Medicine Adarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick, Vinay Pai, Roy Adams, Matthew C. Diamond, Suchi Saria
2024	J	`jnl`	Applying queueing theory to evaluate wait-time-savings of triage algorithms. Queueing Syst. Theory Appl. Yee Lam Elim Thompson, Gary M. Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, Jana G. Delfino, Miguel A. Lago, Qian Cao, Frank W. Samuelson
2024	J	`jnl`	DICaugment: A Python Package for 3D Medical Imaging Augmentation. J. Open Source Softw. Jacob McIntosh, Qian Cao, Berkman Sahiner, Nicholas Petrick, Mohammad Mehdi Farhangi
2024	—	`conf`	Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. CLeaR Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
2024	A	`conf`	Is this model reliable for everyone? Testing for strong calibration. AISTATS Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner
2024	A	`conf`	Monitoring machine learning-based risk prediction algorithms in the presence of performativity. AISTATS Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
2024	J	`jnl`	TorchSurv: A Lightweight Package for Deep Survival Analysis. CoRR Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller
2024	J	`jnl`	TorchSurv: A Lightweight Package for Deep Survival Analysis. J. Open Source Softw. Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller
2024	J	`jnl`	Transparency of artificial intelligence/machine learning-enabled medical devices. npj Digit. Medicine Aubrey A. Shick, Christina M. Webber, Nooshin Kiarashi, Jessica P. Weinberg, Aneesh Deoras, Nicholas Petrick, Anindita Saha, Matthew C. Diamond
2023	—	`conf`	Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models. MICCAI (3) Mitchell Pavlak, Nathan Drenkow, Nicholas Petrick, Mohammad Mehdi Farhangi, Mathias Unberath
2023	J	`jnl`	Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models. CoRR Mitchell Pavlak, Nathan Drenkow, Nicholas Petrick, Mohammad Mehdi Farhangi, Mathias Unberath
2023	—	`conf`	Decision region analysis to deconstruct the subgroup influence on AI/ML predictions. Computer-Aided Diagnosis Alexis Burgon, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Ravi K. Samala
2023	—	`conf`	Deep learning texture analysis for the assessment of trabecular bone stiffness in CT. Biomedical Applications in Molecular, Structural, and Functional Imaging Ran Yan, Qian Cao, Sriharsha Marupudi, Ravi K. Samala, Nicholas Petrick
2023	—	`conf`	Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images. Digital and Computational Pathology Arian Arab, Victor Garcia, Shuyue Guan, Brandon D. Gallas, Berkman Sahiner, Nicholas Petrick, Weijie Chen
2023	J	`jnl`	Is this model reliable for everyone? Testing for strong calibration. CoRR Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner
2023	J	`jnl`	Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study. CoRR Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
2023	—	`conf`	Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study. Digital and Computational Pathology Seyed M. M. Kahaki, Ian S. Hagemann, Kenny H. Cha, Christopher J. Trindade, Nicholas Petrick, Nicolas Kostelecky, Weijie Chen
2022	—	`conf`	Deciphering deep ensembles for lung nodule analysis. Computer-Aided Diagnosis Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick
2022	J	`jnl`	FDA fosters innovative approaches in research, resources and collaboration. Nat. Mach. Intell. Brandon D. Gallas, Aldo Badano, Sarah Dudgeon, Katherine Elfer, Victor Garcia, Jochen K. Lennerz, Kyle J. Myers, Nicholas Petrick, Ed Margerrison
2022	J	`jnl`	Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions. CoRR Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
2022	J	`jnl`	Profiling the BLAST bioinformatics application for load balancing on high-performance computing clusters. BMC Bioinform. Trinity Cheng, Pei-Ju Chin, Kenny H. Cha, Nicholas Petrick, Mike Mikailov
2022	A	`conf`	Sequential algorithmic modification with test data reuse. UAI Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
2022	J	`jnl`	Sequential algorithmic modification with test data reuse. CoRR Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
2022	—	`conf`	Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory. Image Perception, Observer Performance, and Technology Assessment Yee Lam Elim Thompson, Gary M. Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, Frank W. Samuelson
2021	—	`conf`	Assessment of bone fragility in projection images using radiomic features. Computer-Aided Diagnosis Qian Cao, Nicholas Petrick, Stephanie Coquia, Kenny H. Cha, Rongping Zeng, Keith Wear, Berkman Sahiner, Qin Li
2020	—	`conf`	Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN. MLMI@MICCAI Zahra Ghanian, Andreu Badal, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick, Berkman Sahiner
2020	J	`jnl`	Scaling modeling and simulation on high-performance computing clusters. Simul. Mike Mikailov, Junshan Qiu, Fu-Jyh Luo, Stephen Whitney, Nicholas Petrick
2020	—	`conf`	Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help. Image Perception, Observer Performance, and Technology Assessment Kenny H. Cha, Alexej Gossmann, Nicholas Petrick, Berkman Sahiner
2019	J	`jnl`	3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT. IEEE J. Biomed. Health Informatics Aria Pezeshk, Sardar Hamidian, Nicholas Petrick, Berkman Sahiner
2019	—	`conf`	Data transformations for variance stabilization in the statistical assessment of quantitative imaging biomarkers. Image Perception, Observer Performance, and Technology Assessment Qi Gong, Qin Li, Marios A. Gavrielides, Nicholas Petrick
2019	—	`conf`	Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images. Computer-Aided Diagnosis Kenny H. Cha, Nicholas Petrick, Aria Pezeshk, Christian G. Graff, Diksha Sharma, Andreu Badal, Aldo Badano, Berkman Sahiner
2019	—	`conf`	Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel. Computer-Aided Diagnosis Nada Kamona, Qin Li, Benjamin P. Berman, Berkman Sahiner, Nicholas Petrick
2018	—	`conf`	A database for assessment of effect of lossy compression on digital mammograms. Image Perception, Observer Performance, and Technology Assessment Jiheng Wang, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk
2018	—	`conf`	Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study. Image Perception, Observer Performance, and Technology Assessment Yang Yang, Berkman Sahiner, Zhipeng Huang, Nicholas Petrick, Weijie Chen
2018	—	`ed.`	Medical Imaging 2018: Computer-Aided Diagnosis, Houston, Texas, USA, 10-15 February 2018 Computer-Aided Diagnosis Nicholas Petrick, Kensaku Mori
2018	—	`conf`	Quantitative characterization of liver tumor radiodensity in CT images: a phantom study between two scanners. Computer-Aided Diagnosis Benjamin Paul Berman, Qin Li, Sarah McKenney, Stanley Thomas Fricke, Yuan Fang, Marios A. Gavrielides, Nicholas Petrick
2018	—	`conf`	Towards the use of computationally inserted lesions for mammographic CAD assessment. Image Perception, Observer Performance, and Technology Assessment Zahra Ghanian, Aria Pezeshk, Nicholas Petrick, Berkman Sahiner
2017	—	`conf`	3D convolutional neural network for automatic detection of lung nodules in chest CT. Computer-Aided Diagnosis Sardar Hamidian, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk
2017	J	`jnl`	Scaling bioinformatics applications on HPC. BMC Bioinform. Mike Mikailov, Fu-Jyh Luo, Stuart Barkley, Lohit Valleru, Stephen Whitney, Zhichao Liu, Shraddha Thakkar, Weida Tong, Nicholas Petrick
2017	J	`jnl`	Seamless Lesion Insertion for Data Augmentation in CAD Training. IEEE Trans. Medical Imaging Aria Pezeshk, Nicholas Petrick, Weijie Chen, Berkman Sahiner
2017	—	`conf`	The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom study. Computer-Aided Diagnosis Qin Li, Benjamin P. Berman, Justin Schumacher, Yongguang Liang, Marios A. Gavrielides, Hao Yang, Binsheng Zhao, Nicholas Petrick
2016	—	`conf`	Seamless lesion insertion in digital mammography: methodology and reader study. Computer-Aided Diagnosis Aria Pezeshk, Nicholas Petrick, Berkman Sahiner
2016	—	`conf`	Semi-parametric estimation of the area under the precision-recall curve. Image Perception, Observer Performance, and Technology Assessment Berkman Sahiner, Weijie Chen, Aria Pezeshk, Nicholas Petrick
2015	—	`conf`	Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer. Computer-Aided Diagnosis Kevin Michael 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
2015	—	`conf`	Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study. Computer-Aided Diagnosis Qin Li, Marios A. Gavrielides, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Nicholas Petrick
2015	—	`conf`	Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams. Computer-Aided Diagnosis Aria Pezeshk, Berkman Sahiner, Weijie Chen, Nicholas Petrick
2015	J	`jnl`	Optimizing area under the ROC curve using semi-supervised learning. Pattern Recognit. Shijun Wang, Diana Li, Nicholas Petrick, Berkman Sahiner, Marius George Linguraru, Ronald M. Summers
2015	J	`jnl`	Seamless Insertion of Pulmonary Nodules in Chest CT Images. IEEE Trans. Biomed. Eng. Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick
2014	—	`conf`	Seamless insertion of real pulmonary nodules in chest CT exams. Computer-Aided Diagnosis Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick
2013	—	`conf`	Neural network training by maximization of the area under the ROC curve: application to characterization of masses on breast ultrasound as malignant or benign. Computer-Aided Diagnosis Berkman Sahiner, Xin He, Weijie Chen, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick
2013	—	`conf`	Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT. IPMI Qin Li, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Marios A. Gavrielides, Nicholas Petrick
2012	—	`conf`	Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients. Computer-Aided Diagnosis Jiamin Liu, Jeremy Hua, Vivek Chellappa, Nicholas Petrick, Berkman Sahiner, Mohammed Farooqui, Gerald Marti, Adrian Wiestner, Ronald M. Summers
2012	—	`conf`	Computer vision approach to detect colonic polyps in computed tomographic colonography. Computer-Aided Diagnosis Matthew T. McKenna, Shijun Wang, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
2012	J	`jnl`	Matching 3-D Prone and Supine CT Colonography Scans Using Graphs. IEEE Trans. Inf. Technol. Biomed. Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Zhuoshi Wei, Ronald M. Summers
2012	—	`conf`	ROC-like optimization by sample ranking: Application to CT colonography. ISBI Shijun Wang, Matthew McKenna, Nicholas Petrick, Berkman Sahiner, Marius George Linguraru, Zhuoshi Wei, Jianhua Yao, Ronald M. Summers
2012	J	`jnl`	Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning. IEEE Trans. Medical Imaging Shijun Wang, Matthew McKenna, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
2012	J	`jnl`	Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence. Medical Image Anal. Matthew McKenna, Shijun Wang, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Ronald M. Summers
2012	—	`conf`	Supine and prone CT colonography registration by matching graphs of teniae coli. ISBI Zhuoshi Wei, Shijun Wang, Nicholas Petrick, Jianhua Yao, Senthil Periaswamy, Ronald M. Summers
2011	—	`conf`	3D supine and prone colon registration for computed tomographic colonography scans based on graph matching. Computer-Aided Diagnosis Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Ronald M. Summers
2011	—	`conf`	Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging. Computer-Aided Diagnosis 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
2011	—	`conf`	Fusion of machine intelligence and human intelligence for colonic polyp detection in CT colonography. ISBI Shijun Wang, Vishal Anugu, Tan B. Nguyen, Natalie Rose, Joseph E. Burns, Matthew McKenna, Nicholas Petrick, Ronald M. Summers
2010	—	`conf`	Approximations of noise structures in helical multi-detector CT scans: application to lung nodule volume estimation. Computer-Aided Diagnosis Rongping Zeng, Nicholas Petrick, Marios A. Gavrielides, Kyle J. Myers
2010	J	`jnl`	Combining Statistical and Geometric Features for Colonic Polyp Detection in Ctc Based on Multiple Kernel Learning. Int. J. Comput. Intell. Appl. Shijun Wang, Jianhua Yao, Nicholas Petrick, Ronald M. Summers
2010	—	`conf`	FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development. Computer-Aided Diagnosis Marios A. Gavrielides, Lisa M. Kinnard, Kyle J. Myers, Rongping Zeng, Nicholas Petrick
2010	B	`conf`	Graph matching based on mean field theory. ICIP Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Ronald M. Summers
2010	J	`jnl`	Improving polyp detection algorithms for CT colonography: Pareto front approach. Pattern Recognit. Lett. Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara
2010	J	`jnl`	Information-Theoretic Approach for Analyzing Bias and Variance in Lung Nodule Size Estimation With CT: A Phantom Study. IEEE Trans. Medical Imaging Marios A. Gavrielides, Rongping Zeng, Lisa Kinnard, Kyle J. Myers, Nicholas Petrick
2010	—	`conf`	Matching colonic polyps using correlation optimized warping. Computer-Aided Diagnosis Shijun Wang, Jianhua Yao, Nicholas Petrick, Ronald M. Summers
2010	—	`conf`	Micro CT based truth estimation of nodule volume. Computer-Aided Diagnosis Lisa M. Kinnard, Marios A. Gavrielides, Kyle J. Myers, Rongping Zeng, B. Whiting, Sheng Lin-Gibson, Nicholas Petrick
2009	—	`conf`	A template-based approach for the analysis of lung nodules in a volumetric CT phantom study. Computer-Aided Diagnosis Marios A. Gavrielides, Rongping Zeng, Lisa M. Kinnard, Kyle J. Myers, Nicholas Petrick
2009	J	`jnl`	Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer. IEEE Trans. Medical Imaging Hela Masmoudi, Stephen M. Hewitt, Nicholas Petrick, Kyle J. Myers, Marios A. Gavrielides
2009	—	`conf`	Centerline Registration of Prone and Supine CT Colonography Scans Based on Correlation Optimized Warping and Anatomical Landmarks. ISBI Shijun Wang, Jianhua Yao, Jiamin Liu, Nicholas Petrick, Ronald M. Summers
2008	—	`conf`	Automated evaluation of HER-2/neu immunohistochemical expression in breast cancer using digital microscopy. ISBI Marios A. Gavrielides, Hela Masmoudi, Nicholas Petrick, Kyle J. Myers, Stephen M. Hewitt
2008	—	`conf`	Volume error analysis for lung nodules attached to pulmonary vessels in an anthropomorphic thoracic phantom. Computer-Aided Diagnosis Lisa M. Kinnard, Marios A. Gavrielides, Kyle J. Myers, Rongping Zeng, Jennifer Peregoy, William F. Pritchard, John W. Karanian, Nicholas Petrick
2007	—	`conf`	Advantages and Examples of Resampling for Cad Evaluation. ISBI Frank W. Samuelson, Nicholas Petrick, Sophie Paquerault
2007	—	`conf`	Automated alignment of serial thoracic scans using bone structure descriptors. Computer-Aided Diagnosis Marios A. Gavrielides, Nicholas Petrick, Kyle J. Myers
2007	—	`conf`	Using Pareto fronts to evaluate polyp detection algorithms for CT colonography. Computer-Aided Diagnosis Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara
2007	—	`conf`	Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography. Computer-Aided Diagnosis Jiang Li, Adam Huang, Nicholas Petrick, Jianhua Yao, Ronald M. Summers
2006	B	`conf`	Alignment of full and partial CT thoracic scans using bony structures. Image Processing Marios A. Gavrielides, Nicholas Petrick, Kyle J. Myers
2006	J	`jnl`	An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection. Int. J. Artif. Intell. Tools Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas Petrick, Michael T. Manry, Amy K. Hara
2006	B	`conf`	Automatic colonic polyp detection using multi-objective evolutionary techniques. Image Processing Jiang Li, Adam Huang, Jianhua Yao, Ingmar Bitter, Nicholas Petrick, Ronald M. Summers, Perry J. Pickhardt, J. Richard Choi
2006	—	`conf`	Comparing image detection algorithms using resampling. ISBI Frank W. Samuelson, Nicholas Petrick
2006	B	`conf`	Hybrid committee classifier for a computerized colonic polyp detection system. Image Processing Jiang Li, Jianhua Yao, Nicholas Petrick, Ronald M. Summers, Amy K. Hara
2006	—	`conf`	Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal. Digital Mammography / IWDM Nicholas Petrick, Kyle J. Myers, Sophie Paquerault, Frank W. Samuelson, Brandon D. Gallas, Robert F. Wagner
2006	B	`conf`	Potential improvement of computerized mass detection on mammograms using a bilateral pairing technique. Image Processing Sophie Paquerault, Nicholas Petrick, Berkman Sahiner, Kyle J. Myers, Heang-Ping Chan
2006	—	`conf`	Wavelet method for CT colonography computer-aided polyp detection. ISBI Jiang Li, Marek Franaszek, Nicholas Petrick, Jianhua Yao, Adam Huang, Ronald M. Summers
2005	B	`conf`	Computer-aided detection of breast masses on mammograms: performance improvement using a dual system. Image Processing Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Nicholas Petrick, Jun Ge, Chuan Zhou
2004	B	`conf`	Computer-aided detection of breast masses on full-field digital mammograms: false positive reduction using gradient field analysis. Image Processing Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Chuan Zhou, Zhanyu Ge
2004	B	`conf`	ROC study of the effects of computer-aided interval change analysis on radiologists' characterization of breast masses in two-view serial mammograms. Image Processing 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
2003	B	`conf`	Design of three-class classifiers in computer-aided diagnosis: Monte Carlo simulation study. Image Processing Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Nicholas Petrick, Chuan Zhou
2003	B	`conf`	ROC study: effects of computer-aided diagnosis on radiologists' characterization of malignant and benign breast masses in temporal pairs of mammograms. Image Processing 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
2003	B	`conf`	Three-dimensional active contour model for characterization of solid breast masses on three-dimensional ultrasound images. Image Processing Berkman Sahiner, Aditya Ramachandran, Heang-Ping Chan, Marilyn A. Roubidoux, Lubomir M. Hadjiiski, Mark A. Helvie, Nicholas Petrick, Chuan Zhou
2002	B	`conf`	Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features. Image Processing Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Marilyn A. Roubidoux, Metin Nafi Gürcan
2002	B	`conf`	Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications. Image Processing Metin Nafi Gürcan, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie
2002	B	`conf`	Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy. Image Processing Berkman Sahiner, Metin Nafi Gürcan, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie
2001	B	`conf`	Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses. Image Processing Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Metin Nafi Gürcan
2001	J	`jnl`	Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on Characterization. IEEE Trans. Medical Imaging Berkman Sahiner, Nicholas Petrick, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Metin N. Gurcan
2001	B	`conf`	Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction. Image Processing Metin Nafi Gürcan, Nicholas Petrick, Berkman Sahiner, Heang-Ping Chan, Philip N. Cascade, Ella A. Kazerooni, Lubomir M. Hadjiiski
2001	B	`conf`	Improvement of mammographic lesion detection by fusion of information from different views. Image Processing Sophie Paquerault, Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner
2001	B	`conf`	Recognition of lesion correspondence on two mammographic views: a new method of false-positive reduction for computerized mass detection. Image Processing Berkman Sahiner, Nicholas Petrick, Heang-Ping Chan, Sophie Paquerault, Mark A. Helvie, Lubomir M. Hadjiiski
2000	B	`conf`	Computerized image analysis: estimation of breast density on mammograms. Image Processing Chuan Zhou, Heang-Ping Chan, Nicholas Petrick, Berkman Sahiner, Mark A. Helvie, Marilyn A. Roubidoux, Lubomir M. Hadjiiski, Mitchell M. Goodsitt
2000	B	`conf`	Evaluation of an automated computer-aided diagnosis system for the detection of masses on prior mammograms. Image Processing Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Sophie Paquerault
2000	B	`conf`	Interval change analysis in temporal pairs of mammograms using a local affine transformation. Image Processing Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Sophie Paquerault, Chuan Zhou
1999	J	`jnl`	Classification of Malignant and Benign Masses Based on Hybrid ART2LDA Approach. IEEE Trans. Medical Imaging Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie
1999	B	`conf`	Components of variance in ROC analysis of CADx classifier performance: II. Applications of the bootstrap. Image Processing Robert F. Wagner, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Joseph T. Mossoba
1999	B	`conf`	Hybrid unsupervised-supervised approach for computerized classification of malignant and benign masses on mammograms. Image Processing Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie
1999	B	`conf`	Stepwise linear discriminant analysis in computer-aided diagnosis: the effect of finite sample size. Image Processing Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Robert F. Wagner, Lubomir M. Hadjiiski
1998	B	`conf`	Components of variance in ROC analysis of CADx classifier performance. Image Processing Robert F. Wagner, Heang-Ping Chan, Joseph T. Mossoba, Berkman Sahiner, Nicholas Petrick
1998	B	`conf`	Computerized characterization of breast masses using three-dimensional ultrasound images. Image Processing Berkman Sahiner, Gerald L. LeCarpentier, Heang-Ping Chan, Marilyn A. Roubidoux, Nicholas Petrick, Mitchell M. Goodsitt, S. Sanjay-Gopal, Paul L. Carson
1998	B	`conf`	Effects of sample size on classifier design for computer-aided diagnosis. Image Processing Heang-Ping Chan, Berkman Sahiner, Robert F. Wagner, Nicholas Petrick
1998	B	`conf`	Regional mammogram registration technique for automated analysis of interval changes of breast lesions. Image Processing S. Sanjay-Gopal, Heang-Ping Chan, Nicholas Petrick, Todd E. Wilson, Berkman Sahiner, Mark A. Helvie, Mitchell M. Goodsitt
1997	—	`conf`	Neural network based segmentation using a priori image models. ICNN S. Sanjay-Gopal, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick
1997	—	`conf`	Neural network design for optimization of the partial area under the receiver operating characteristic curve. ICNN Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, S. Sanjay-Gopal, Mitchell M. Goodsitt
1996	J	`jnl`	An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection. IEEE Trans. Medical Imaging Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner, Datong Wei
1996	J	`jnl`	Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images. IEEE Trans. Medical Imaging Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Datong Wei, Mark A. Helvie, Dorit D. Adler, Mitchell M. Goodsitt
1996	B	`conf`	Classification of masses on mammograms using rubber-band straightening transform and feature analysis. Image Processing Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Dorit D. Adler, Mitchell M. Goodsitt
1996	B	`conf`	Effects of pixel size on classification of microcalcifications on digitized mammograms. Image Processing Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Kwok Leung Lam, Mark A. Helvie
1995	Misc	`conf`	Detection of masses on mammograms using a convolution neural network. ICASSP Datong Wei, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick