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Nicholas A. Petrick
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2020 – today
- 2024
[j23]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): 6120 (2024)- [j22]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) - [j21]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:
Applying queueing theory to evaluate wait-time-savings of triage algorithms. Queueing Syst. Theory Appl. 108(3): 579-610 (2024) - [c87]Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner:
Is this model reliable for everyone? Testing for strong calibration. AISTATS 2024: 181-189 - [c86]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: 919-927 - [c85]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: 587-608 - [i6]Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller:
TorchSurv: A Lightweight Package for Deep Survival Analysis. CoRR abs/2404.10761 (2024) - 2023
- [c84]Ran Yan, Qian Cao, Sriharsha Marupudi, Ravi K. Samala, Nicholas Petrick:
Deep learning texture analysis for the assessment of trabecular bone stiffness in CT. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c83]Alexis Burgon, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Ravi K. Samala:
Decision region analysis to deconstruct the subgroup influence on AI/ML predictions. Computer-Aided Diagnosis 2023 - [c82]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: 442-452 - [c81]Arian Arab, Victor Garcia, Shuyue Guan, Brandon D. Gallas, Berkman Sahiner, Nicholas Petrick, Weijie Chen:
Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images. Digital and Computational Pathology 2023 - [c80]Seyed M. M. Kahaki, Ian S. Hagemann, Kenny H. Cha, Christopher J. Trindade, Nicholas Petrick, Nicolas Kostelecky, Weijie Chen:
Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study. Digital and Computational Pathology 2023 - [i5]Mitchell Pavlak, Nathan Drenkow, Nicholas Petrick, Mohammad Mehdi Farhangi, Mathias Unberath:
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models. CoRR abs/2304.03218 (2023) - [i4]Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner:
Is this model reliable for everyone? Testing for strong calibration. CoRR abs/2307.15247 (2023) - [i3]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 abs/2311.11463 (2023) - 2022
- [j20]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): 544 (2022) - [j19]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): 97-98 (2022) - [c79]Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick:
Deciphering deep ensembles for lung nodule analysis. Computer-Aided Diagnosis 2022 - [c78]Yee Lam Elim Thompson, Gary M. 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. Image Perception, Observer Performance, and Technology Assessment 2022 - [c77]Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann:
Sequential algorithmic modification with test data reuse. UAI 2022: 674-684 - [i2]Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann:
Sequential algorithmic modification with test data reuse. CoRR abs/2203.11377 (2022) - [i1]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 abs/2211.09781 (2022) - 2021
- [c76]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. Computer-Aided Diagnosis 2021 - 2020
- [j18]Mike Mikailov, Junshan Qiu, Fu-Jyh Luo, Stephen Whitney, Nicholas Petrick:
Scaling modeling and simulation on high-performance computing clusters. Simul. 96(2) (2020) - [c75]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: 523-531 - [c74]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. Image Perception, Observer Performance, and Technology Assessment 2020: 113160S
2010 – 2019
- 2019
- [j17]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): 2080-2090 (2019) - [c73]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. Computer-Aided Diagnosis 2019: 109501S - [c72]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. Computer-Aided Diagnosis 2019: 1095004 - [c71]Qi Gong, Qin Li, Marios A. Gavrielides, Nicholas Petrick:
Data transformations for variance stabilization in the statistical assessment of quantitative imaging biomarkers. Image Perception, Observer Performance, and Technology Assessment 2019: 109520Z - 2018
- [c70]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. Computer-Aided Diagnosis 2018: 105753H - [c69]Zahra Ghanian, Aria Pezeshk, Nicholas Petrick, Berkman Sahiner:
Towards the use of computationally inserted lesions for mammographic CAD assessment. Image Perception, Observer Performance, and Technology Assessment 2018: 105770L - [c68]Jiheng Wang, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk:
A database for assessment of effect of lossy compression on digital mammograms. Image Perception, Observer Performance, and Technology Assessment 2018: 1057706 - [c67]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. Image Perception, Observer Performance, and Technology Assessment 2018: 1057713 - [e2]Nicholas Petrick, Kensaku Mori:
Medical Imaging 2018: Computer-Aided Diagnosis, Houston, Texas, USA, 10-15 February 2018. SPIE Proceedings 10575, SPIE 2018 [contents] - 2017
- [j16]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): 163-169 (2017) - [j15]Aria Pezeshk, Nicholas Petrick, Weijie Chen, Berkman Sahiner:
Seamless Lesion Insertion for Data Augmentation in CAD Training. IEEE Trans. Medical Imaging 36(4): 1005-1015 (2017) - [c66]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. Computer-Aided Diagnosis 2017: 101340Z - [c65]Sardar Hamidian, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk:
3D convolutional neural network for automatic detection of lung nodules in chest CT. Computer-Aided Diagnosis 2017: 1013409 - [e1]Samuel G. Armato III, Nicholas A. Petrick:
Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017. SPIE Proceedings 10134, SPIE 2017, ISBN 9781510607132 [contents] - 2016
- [c64]Aria Pezeshk, Nicholas Petrick, Berkman Sahiner:
Seamless lesion insertion in digital mammography: methodology and reader study. Computer-Aided Diagnosis 2016: 97850J - [c63]Berkman Sahiner, Weijie Chen, Aria Pezeshk, Nicholas Petrick:
Semi-parametric estimation of the area under the precision-recall curve. Image Perception, Observer Performance, and Technology Assessment 2016: 97870D - 2015
- [j14]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): 276-287 (2015) - [j13]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): 2812-2827 (2015) - [c62]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:
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 2015: 94140S - [c61]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. Computer-Aided Diagnosis 2015: 94140C - [c60]Aria Pezeshk, Berkman Sahiner, Weijie Chen, Nicholas Petrick:
Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams. Computer-Aided Diagnosis 2015: 94140A - 2014
- [c59]Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick:
Seamless insertion of real pulmonary nodules in chest CT exams. Computer-Aided Diagnosis 2014: 90351K - 2013
- [c58]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: 584-593 - [c57]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. Computer-Aided Diagnosis 2013: 86701M - 2012
- [j12]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): 1280-1292 (2012) - [j11]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): 676-682 (2012) - [j10]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): 1141-1153 (2012) - [c56]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: 478-481 - [c55]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: 712-715 - [c54]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. Computer-Aided Diagnosis 2012: 83150B - [c53]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. Computer-Aided Diagnosis 2012: 83151S - 2011
- [c52]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: 160-164 - [c51]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. Computer-Aided Diagnosis 2011: 79630D - [c50]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. Computer-Aided Diagnosis 2011: 79631F - 2010
- [j9]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): 1-15 (2010) - [j8]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): 1461-1469 (2010) - [j7]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): 1795-1807 (2010) - [c49]Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Ronald M. Summers:
Graph matching based on mean field theory. ICIP 2010: 1893-1896 - [c48]Shijun Wang, Jianhua Yao, Nicholas Petrick, Ronald M. Summers:
Matching colonic polyps using correlation optimized warping. Computer-Aided Diagnosis 2010: 76240E - [c47]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. Computer-Aided Diagnosis 2010: 762414 - [c46]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. Computer-Aided Diagnosis 2010: 762415 - [c45]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. Computer-Aided Diagnosis 2010: 762417
2000 – 2009
- 2009
- [j6]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): 916-925 (2009) - [c44]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: 955-958 - [c43]Shijun Wang, Jianhua Yao, Nicholas A. Petrick, Ronald M. Summers:
Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming. Computer-Aided Diagnosis 2009: 72602R - [c42]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. Computer-Aided Diagnosis 2009: 726009 - 2008
- [c41]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: 808-811 - [c40]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. Computer-Aided Diagnosis 2008: 69152Q - 2007
- [c39]Frank W. Samuelson, Nicholas Petrick, Sophie Paquerault:
Advantages and Examples of Resampling for Cad Evaluation. ISBI 2007: 492-495 - [c38]Jiang Li, Adam Huang, Nicholas Petrick, Jianhua Yao, Ronald M. Summers:
Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography. Computer-Aided Diagnosis 2007: 65142G - [c37]Marios A. Gavrielides, Nicholas Petrick, Kyle J. Myers:
Automated alignment of serial thoracic scans using bone structure descriptors. Computer-Aided Diagnosis 2007: 65143C - [c36]Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara:
Using Pareto fronts to evaluate polyp detection algorithms for CT colonography. Computer-Aided Diagnosis 2007: 651407 - 2006
- [j5]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): 893-916 (2006) - [c35]Frank W. Samuelson, Nicholas Petrick:
Comparing image detection algorithms using resampling. ISBI 2006: 1312-1315 - [c34]Jiang Li, Marek Franaszek, Nicholas Petrick, Jianhua Yao, Adam Huang, Ronald M. Summers:
Wavelet method for CT colonography computer-aided polyp detection. ISBI 2006: 1316-1319 - [c33]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: 565-568 - [c32]Marios A. Gavrielides, Nicholas Petrick, Kyle J. Myers:
Alignment of full and partial CT thoracic scans using bony structures. Image Processing 2006: 61443A - [c31]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. Image Processing 2006: 61445E - [c30]Jiang Li, Jianhua Yao, Nicholas Petrick, Ronald M. Summers, Amy K. Hara:
Hybrid committee classifier for a computerized colonic polyp detection system. Image Processing 2006: 61445A - [c29]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. Image Processing 2006: 61445N - 2005
- [c28]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. Image Processing 2005 - 2004
- [c27]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. Image Processing 2004 - [c26]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. Image Processing 2004 - 2003
- [c25]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. Image Processing 2003 - [c24]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. Image Processing 2003 - [c23]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. Image Processing 2003 - 2002
- [c22]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. Image Processing 2002 - [c21]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. Image Processing 2002 - [c20]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. Image Processing 2002 - 2001
- [j4]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): 1275-1284 (2001) - [c19]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. Image Processing 2001 - [c18]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. Image Processing 2001 - [c17]Sophie Paquerault, Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner:
Improvement of mammographic lesion detection by fusion of information from different views. Image Processing 2001 - [c16]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. Image Processing 2001 - 2000
- [c15]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. Image Processing 2000 - [c14]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. Image Processing 2000 - [c13]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. Image Processing 2000
1990 – 1999
- 1999
- [j3]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): 1178-1187 (1999) - [c12]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. Image Processing 1999 - [c11]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. Image Processing 1999 - [c10]Robert F. Wagner, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Joseph T. Mossoba:
Components of variance in ROC analysis of CADx classifier performance: II. Applications of the bootstrap. Image Processing 1999 - 1998
- [c9]Heang-Ping Chan, Berkman Sahiner, Robert F. Wagner, Nicholas Petrick:
Effects of sample size on classifier design for computer-aided diagnosis. Image Processing 1998 - [c8]Berkman Sahiner, Gerald L. LeCarpentier, Heang-Ping Chan, Marilyn A. Roubidoux, Nicholas Petrick, Mitchell M. Goodsitt, S. Sanjay-Gopal, Paul L. Carson:
Computerized characterization of breast masses using three-dimensional ultrasound images. Image Processing 1998 - [c7]S. Sanjay-Gopal, Heang-Ping Chan, Nicholas Petrick, Todd E. Wilson, Berkman Sahiner, Mark A. Helvie, Mitchell M. Goodsitt:
Regional mammogram registration technique for automated analysis of interval changes of breast lesions. Image Processing 1998 - [c6]Robert F. Wagner, Heang-Ping Chan, Joseph T. Mossoba, Berkman Sahiner, Nicholas Petrick:
Components of variance in ROC analysis of CADx classifier performance. Image Processing 1998 - 1997
- [c5]S. Sanjay-Gopal, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick:
Neural network based segmentation using a priori image models. ICNN 1997: 2455-2459 - [c4]Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, S. Sanjay-Gopal, Mitchell M. Goodsitt:
Neural network design for optimization of the partial area under the receiver operating characteristic curve. ICNN 1997: 2468-2471 - 1996
- [j2]Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner, Datong Wei:
An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection. IEEE Trans. Medical Imaging 15(1): 59-67 (1996) - [j1]Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Datong Wei, Mark A. Helvie, Dorit D. Adler, Mitchell M. Goodsitt:
Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images. IEEE Trans. Medical Imaging 15(5): 598-610 (1996) - [c3]Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Kwok Leung Lam, Mark A. Helvie:
Effects of pixel size on classification of microcalcifications on digitized mammograms. Image Processing 1996 - [c2]Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Dorit D. Adler, Mitchell M. Goodsitt:
Classification of masses on mammograms using rubber-band straightening transform and feature analysis. Image Processing 1996 - 1995
- [c1]Datong Wei, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick:
Detection of masses on mammograms using a convolution neural network. ICASSP 1995: 3483-3486
Coauthor Index
[j23] [j21] [c87] [c86] [c85] [i6] [c83] [c81] [i4] [i3] [c79] [c78] [c77] [i2] [i1] [c76] [c75] [c74] [j17] [c73] [c72] [c69] [c68] [c67] [j15] [c65] [c64] [c63] [j14] [j13] [c62] [c61] [c60] [c59] [c58] [c57] [j10] [c56] [c54] [c53] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [j4] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [j3] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [j2] [j1] [c3] [c2] [c1]
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