Detection of masses on mammograms using a convolution neural network. - Datong Wei; Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick (ICASSP, 1995)

Effects of pixel size on classification of microcalcifications on digitized mammograms. - Heang-Ping Chan; Berkman Sahiner; Nicholas Petrick; Kwok Leung Lam; Mark A. Helvie (Image Processing, 1996)

Classification of masses on mammograms using rubber-band straightening transform and feature analysis. - Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Mark A. Helvie; Dorit D. Adler; Mitchell M. Goodsitt (Image Processing, 1996)

An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection. - Nicholas Petrick; Heang-Ping Chan; Berkman Sahiner; Datong Wei (IEEE Trans. Medical Imaging, 1996)

Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images. - Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Datong Wei; Mark A. Helvie; Dorit D. Adler; Mitchell M. Goodsitt (IEEE Trans. Medical Imaging, 1996)

Neural network design for optimization of the partial area under the receiver operating characteristic curve. - Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; S. Sanjay-Gopal; Mitchell M. Goodsitt (ICNN, 1997)

Neural network based segmentation using a priori image models. - S. Sanjay-Gopal; Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick (ICNN, 1997)

Effects of sample size on classifier design for computer-aided diagnosis. - Heang-Ping Chan; Berkman Sahiner; Robert F. Wagner; Nicholas Petrick (Image Processing, 1998)

Computerized characterization of breast masses using three-dimensional ultrasound images. - Berkman Sahiner; Gerald L. LeCarpentier; Heang-Ping Chan; Marilyn A. Roubidoux; Nicholas Petrick; Mitchell M. Goodsitt; S. Sanjay-Gopal; Paul L. Carson (Image Processing, 1998)

Regional mammogram registration technique for automated analysis of interval changes of breast lesions. - S. Sanjay-Gopal; Heang-Ping Chan; Nicholas Petrick; Todd E. Wilson; Berkman Sahiner; Mark A. Helvie; Mitchell M. Goodsitt (Image Processing, 1998)

Components of variance in ROC analysis of CADx classifier performance. - Robert F. Wagner; Heang-Ping Chan; Joseph T. Mossoba; Berkman Sahiner; Nicholas Petrick (Image Processing, 1998)

Hybrid unsupervised-supervised approach for computerized classification of malignant and benign masses on mammograms. - Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Mark A. Helvie (Image Processing, 1999)

Stepwise linear discriminant analysis in computer-aided diagnosis: the effect of finite sample size. - Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Robert F. Wagner; Lubomir M. Hadjiiski (Image Processing, 1999)

Components of variance in ROC analysis of CADx classifier performance: II. Applications of the bootstrap. - Robert F. Wagner; Heang-Ping Chan; Berkman Sahiner; Nicholas Petrick; Joseph T. Mossoba (Image Processing, 1999)

Classification of Malignant and Benign Masses Based on Hybrid ART2LDA Approach. - Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Mark A. Helvie (IEEE Trans. Medical Imaging, 1999)

Interval change analysis in temporal pairs of mammograms using a local affine transformation. - Lubomir M. Hadjiiski; Heang-Ping Chan; Berkman Sahiner; Nicholas Petrick; Mark A. Helvie; Sophie Paquerault; Chuan Zhou 002 (Image Processing, 2000)

Evaluation of an automated computer-aided diagnosis system for the detection of masses on prior mammograms. - Nicholas Petrick; Heang-Ping Chan; Berkman Sahiner; Mark A. Helvie; Sophie Paquerault (Image Processing, 2000)

Computerized image analysis: estimation of breast density on mammograms. - Chuan Zhou 002; Heang-Ping Chan; Nicholas Petrick; Berkman Sahiner; Mark A. Helvie; Marilyn A. Roubidoux; Lubomir M. Hadjiiski; Mitchell M. Goodsitt (Image Processing, 2000)

Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction. - Metin Nafi Gürcan; Nicholas Petrick; Berkman Sahiner; Heang-Ping Chan; Philip N. Cascade; Ella A. Kazerooni; Lubomir M. Hadjiiski (Image Processing, 2001)

Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses. - Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Mark A. Helvie; Metin Nafi Gürcan (Image Processing, 2001)

Improvement of mammographic lesion detection by fusion of information from different views. - Sophie Paquerault; Nicholas Petrick; Heang-Ping Chan; Berkman Sahiner (Image Processing, 2001)

Recognition of lesion correspondence on two mammographic views: a new method of false-positive reduction for computerized mass detection. - Berkman Sahiner; Nicholas Petrick; Heang-Ping Chan; Sophie Paquerault; Mark A. Helvie; Lubomir M. Hadjiiski (Image Processing, 2001)

Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on Characterization. - Berkman Sahiner; Nicholas Petrick; Heang-Ping Chan; Lubomir M. Hadjiiski; Chintana Paramagul; Mark A. Helvie; Metin N. Gurcan (IEEE Trans. Medical Imaging, 2001)

Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications. - Metin Nafi Gürcan; Heang-Ping Chan; Berkman Sahiner; Lubomir M. Hadjiiski; Nicholas Petrick; Mark A. Helvie (Image Processing, 2002)

Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features. - Lubomir M. Hadjiiski; Heang-Ping Chan; Berkman Sahiner; Nicholas Petrick; Mark A. Helvie; Marilyn A. Roubidoux; Metin Nafi Gürcan (Image Processing, 2002)

Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy. - Berkman Sahiner; Metin Nafi Gürcan; Heang-Ping Chan; Lubomir M. Hadjiiski; Nicholas Petrick; Mark A. Helvie (Image Processing, 2002)

Design of three-class classifiers in computer-aided diagnosis: Monte Carlo simulation study. - Heang-Ping Chan; Berkman Sahiner; Lubomir M. Hadjiiski; Nicholas Petrick; Chuan Zhou 002 (Image Processing, 2003)

ROC study: effects of computer-aided diagnosis on radiologists' characterization of malignant and benign breast masses in temporal pairs of mammograms. - 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; et al. (Image Processing, 2003)

Three-dimensional active contour model for characterization of solid breast masses on three-dimensional ultrasound images. - Berkman Sahiner; Aditya Ramachandran; Heang-Ping Chan; Marilyn A. Roubidoux; Lubomir M. Hadjiiski; Mark A. Helvie; Nicholas Petrick; Chuan Zhou 002 (Image Processing, 2003)

Computer-aided detection of breast masses on full-field digital mammograms: false positive reduction using gradient field analysis. - Jun Wei 002; Berkman Sahiner; Lubomir M. Hadjiiski; Heang-Ping Chan; Nicholas Petrick; Mark A. Helvie; Chuan Zhou 002; Zhanyu Ge (Image Processing, 2004)

ROC study of the effects of computer-aided interval change analysis on radiologists' characterization of breast masses in two-view serial mammograms. - 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; et al. (Image Processing, 2004)

Computer-aided detection of breast masses on mammograms: performance improvement using a dual system. - Jun Wei 002; Berkman Sahiner; Lubomir M. Hadjiiski; Heang-Ping Chan; Mark A. Helvie; Marilyn A. Roubidoux; Nicholas Petrick; Jun Ge; Chuan Zhou 002 (Image Processing, 2005)

Wavelet method for CT colonography computer-aided polyp detection. - Jiang Li 001; Marek Franaszek; Nicholas Petrick; Jianhua Yao 001; Adam Huang; Ronald M. Summers (ISBI, 2006)

Comparing image detection algorithms using resampling. - Frank W. Samuelson; Nicholas Petrick (ISBI, 2006)

Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal. - Nicholas Petrick; Kyle J. Myers; Sophie Paquerault; Frank W. Samuelson; Brandon D. Gallas; Robert F. Wagner (Digital Mammography / IWDM, 2006)

Alignment of full and partial CT thoracic scans using bony structures. - Marios A. Gavrielides; Nicholas Petrick; Kyle J. Myers (Image Processing, 2006)

Automatic colonic polyp detection using multi-objective evolutionary techniques. - Jiang Li 001; Adam Huang; Jianhua Yao 001; Ingmar Bitter; Nicholas Petrick; Ronald M. Summers; Perry J. Pickhardt; J. Richard Choi (Image Processing, 2006)

Hybrid committee classifier for a computerized colonic polyp detection system. - Jiang Li 001; Jianhua Yao 001; Nicholas Petrick; Ronald M. Summers; Amy K. Hara (Image Processing, 2006)

Potential improvement of computerized mass detection on mammograms using a bilateral pairing technique. - Sophie Paquerault; Nicholas Petrick; Berkman Sahiner; Kyle J. Myers; Heang-Ping Chan (Image Processing, 2006)

An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection. - Jiang Li 001; Jianhua Yao 001; Ronald M. Summers; Nicholas Petrick; Michael T. Manry; Amy K. Hara (Int. J. Artif. Intell. Tools, 2006)

Advantages and Examples of Resampling for Cad Evaluation. - Frank W. Samuelson; Nicholas Petrick; Sophie Paquerault (ISBI, 2007)

Automated alignment of serial thoracic scans using bone structure descriptors. - Marios A. Gavrielides; Nicholas Petrick; Kyle J. Myers (Computer-Aided Diagnosis, 2007)

Using Pareto fronts to evaluate polyp detection algorithms for CT colonography. - Adam Huang; Jiang Li 001; Ronald M. Summers; Nicholas Petrick; Amy K. Hara (Computer-Aided Diagnosis, 2007)

Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography. - Jiang Li 001; Adam Huang; Nicholas Petrick; Jianhua Yao 001; Ronald M. Summers (Computer-Aided Diagnosis, 2007)

Automated evaluation of HER-2/neu immunohistochemical expression in breast cancer using digital microscopy. - Marios A. Gavrielides; Hela Masmoudi; Nicholas Petrick; Kyle J. Myers; Stephen M. Hewitt (ISBI, 2008)

Volume error analysis for lung nodules attached to pulmonary vessels in an anthropomorphic thoracic phantom. - Lisa M. Kinnard; Marios A. Gavrielides; Kyle J. Myers; Rongping Zeng; Jennifer Peregoy; William F. Pritchard; John W. Karanian; Nicholas Petrick (Computer-Aided Diagnosis, 2008)

Centerline Registration of Prone and Supine CT Colonography Scans Based on Correlation Optimized Warping and Anatomical Landmarks. - Shijun Wang; Jianhua Yao 001; Jiamin Liu; Nicholas Petrick; Ronald M. Summers (ISBI, 2009)

A template-based approach for the analysis of lung nodules in a volumetric CT phantom study. - Marios A. Gavrielides; Rongping Zeng; Lisa M. Kinnard; Kyle J. Myers; Nicholas Petrick (Computer-Aided Diagnosis, 2009)

Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming. - Shijun Wang; Jianhua Yao 001; Nicholas A. Petrick; Ronald M. Summers (Computer-Aided Diagnosis, 2009)

Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer. - Hela Masmoudi; Stephen M. Hewitt; Nicholas Petrick; Kyle J. Myers; Marios A. Gavrielides (IEEE Trans. Medical Imaging, 2009)

Graph matching based on mean field theory. - Shijun Wang; Nicholas Petrick; Robert L. Van Uitert Jr.; Senthil Periaswamy; Ronald M. Summers (ICIP, 2010)

FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development. - Marios A. Gavrielides; Lisa M. Kinnard; Kyle J. Myers; Rongping Zeng; Nicholas Petrick (Computer-Aided Diagnosis, 2010)

Micro CT based truth estimation of nodule volume. - Lisa M. Kinnard; Marios A. Gavrielides; Kyle J. Myers; Rongping Zeng; B. Whiting; Sheng Lin-Gibson; Nicholas Petrick (Computer-Aided Diagnosis, 2010)

Matching colonic polyps using correlation optimized warping. - Shijun Wang; Jianhua Yao 001; Nicholas Petrick; Ronald M. Summers (Computer-Aided Diagnosis, 2010)

Approximations of noise structures in helical multi-detector CT scans: application to lung nodule volume estimation. - Rongping Zeng; Nicholas Petrick; Marios A. Gavrielides; Kyle J. Myers (Computer-Aided Diagnosis, 2010)

Combining Statistical and Geometric Features for Colonic Polyp Detection in Ctc Based on Multiple Kernel Learning. - Shijun Wang; Jianhua Yao 001; Nicholas Petrick; Ronald M. Summers (Int. J. Comput. Intell. Appl., 2010)

Improving polyp detection algorithms for CT colonography: Pareto front approach. - Adam Huang; Jiang Li 001; Ronald M. Summers; Nicholas Petrick; Amy K. Hara (Pattern Recognit. Lett., 2010)

Information-Theoretic Approach for Analyzing Bias and Variance in Lung Nodule Size Estimation With CT: A Phantom Study. - Marios A. Gavrielides; Rongping Zeng; Lisa Kinnard; Kyle J. Myers; Nicholas Petrick (IEEE Trans. Medical Imaging, 2010)

Fusion of machine intelligence and human intelligence for colonic polyp detection in CT colonography. - Shijun Wang; Vishal Anugu; Tan B. Nguyen; Natalie Rose; Joseph E. Burns; Matthew McKenna; Nicholas Petrick; Ronald M. Summers (ISBI, 2011)

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

3D supine and prone colon registration for computed tomographic colonography scans based on graph matching. - Shijun Wang; Nicholas Petrick; Robert L. Van Uitert Jr.; Senthil Periaswamy; Ronald M. Summers (Computer-Aided Diagnosis, 2011)

ROC-like optimization by sample ranking: Application to CT colonography. - Shijun Wang; Matthew McKenna; Nicholas Petrick; Berkman Sahiner; Marius George Linguraru; Zhuoshi Wei; Jianhua Yao 001; Ronald M. Summers (ISBI, 2012)

Supine and prone CT colonography registration by matching graphs of teniae coli. - Zhuoshi Wei; Shijun Wang; Nicholas Petrick; Jianhua Yao 001; Senthil Periaswamy; Ronald M. Summers (ISBI, 2012)

Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients. - Jiamin Liu; Jeremy Hua; Vivek Chellappa; Nicholas Petrick; Berkman Sahiner; Mohammed Farooqui; Gerald Marti; Adrian Wiestner; Ronald M. Summers (Computer-Aided Diagnosis, 2012)

Computer vision approach to detect colonic polyps in computed tomographic colonography. - Matthew T. McKenna; Shijun Wang; Tan B. Nguyen; Joseph E. Burns; Nicholas Petrick; Berkman Sahiner; Ronald M. Summers (Computer-Aided Diagnosis, 2012)

Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence. - Matthew McKenna; Shijun Wang; Tan B. Nguyen; Joseph E. Burns; Nicholas Petrick; Ronald M. Summers (Medical Image Anal., 2012)

Matching 3-D Prone and Supine CT Colonography Scans Using Graphs. - Shijun Wang; Nicholas Petrick; Robert L. Van Uitert Jr.; Senthil Periaswamy; Zhuoshi Wei; Ronald M. Summers (IEEE Trans. Inf. Technol. Biomed., 2012)

Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning. - Shijun Wang; Matthew McKenna; Tan B. Nguyen; Joseph E. Burns; Nicholas Petrick; Berkman Sahiner; Ronald M. Summers (IEEE Trans. Medical Imaging, 2012)

Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT. - Qin Li 018; Rongping Zeng; Kyle J. Myers; Berkman Sahiner; Marios A. Gavrielides; Nicholas Petrick (IPMI, 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. - Berkman Sahiner; Xin He; Weijie Chen 007; Heang-Ping Chan; Lubomir M. Hadjiiski; Nicholas Petrick (Computer-Aided Diagnosis, 2013)

Seamless insertion of real pulmonary nodules in chest CT exams. - Aria Pezeshk; Berkman Sahiner; Rongping Zeng; Adam Wunderlich; Weijie Chen 007; Nicholas Petrick (Computer-Aided Diagnosis, 2014)

Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer. - 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 (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. - Qin Li 018; Marios A. Gavrielides; Rongping Zeng; Kyle J. Myers; Berkman Sahiner; Nicholas Petrick (Computer-Aided Diagnosis, 2015)

Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams. - Aria Pezeshk; Berkman Sahiner; Weijie Chen 007; Nicholas Petrick (Computer-Aided Diagnosis, 2015)

Optimizing area under the ROC curve using semi-supervised learning. - Shijun Wang; Diana Li; Nicholas Petrick; Berkman Sahiner; Marius George Linguraru; Ronald M. Summers (Pattern Recognit., 2015)

Seamless Insertion of Pulmonary Nodules in Chest CT Images. - Aria Pezeshk; Berkman Sahiner; Rongping Zeng; Adam Wunderlich; Weijie Chen 007; Nicholas Petrick (IEEE Trans. Biomed. Eng., 2015)

Seamless lesion insertion in digital mammography: methodology and reader study. - Aria Pezeshk; Nicholas Petrick; Berkman Sahiner (Computer-Aided Diagnosis, 2016)

Semi-parametric estimation of the area under the precision-recall curve. - Berkman Sahiner; Weijie Chen 007; Aria Pezeshk; Nicholas Petrick (Image Perception, Observer Performance, and Technology Assessment, 2016)

3D convolutional neural network for automatic detection of lung nodules in chest CT. - Sardar Hamidian; Berkman Sahiner; Nicholas Petrick; Aria Pezeshk (Computer-Aided Diagnosis, 2017)

The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom study. - Qin Li 018; Benjamin P. Berman; Justin Schumacher; Yongguang Liang; Marios A. Gavrielides; Hao Yang; Binsheng Zhao; Nicholas Petrick (Computer-Aided Diagnosis, 2017)

Scaling bioinformatics applications on HPC. - Mike Mikailov; Fu-Jyh Luo; Stuart Barkley; Lohit Valleru; Stephen Whitney; Zhichao Liu; Shraddha Thakkar; Weida Tong; Nicholas Petrick (BMC Bioinform., 2017)

Seamless Lesion Insertion for Data Augmentation in CAD Training. - Aria Pezeshk; Nicholas Petrick; Weijie Chen 007; Berkman Sahiner (IEEE Trans. Medical Imaging, 2017)

Quantitative characterization of liver tumor radiodensity in CT images: a phantom study between two scanners. - Benjamin Paul Berman; Qin Li 018; Sarah McKenney; Stanley Thomas Fricke; Yuan Fang; Marios A. Gavrielides; Nicholas Petrick (Computer-Aided Diagnosis, 2018)

Towards the use of computationally inserted lesions for mammographic CAD assessment. - Zahra Ghanian; Aria Pezeshk; Nicholas Petrick; Berkman Sahiner (Image Perception, Observer Performance, and Technology Assessment, 2018)

A database for assessment of effect of lossy compression on digital mammograms. - Jiheng Wang; Berkman Sahiner; Nicholas Petrick; Aria Pezeshk (Image Perception, Observer Performance, and Technology Assessment, 2018)

Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study. - Yang Yang; Berkman Sahiner; Zhipeng Huang 007; Nicholas Petrick; Weijie Chen 007 (Image Perception, Observer Performance, and Technology Assessment, 2018)

Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images. - Kenny H. Cha; Nicholas Petrick; Aria Pezeshk; Christian G. Graff; Diksha Sharma; Andreu Badal; Aldo Badano; Berkman Sahiner (Computer-Aided Diagnosis, 2019)

Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel. - Nada Kamona; Qin Li 018; Benjamin P. Berman; Berkman Sahiner; Nicholas Petrick (Computer-Aided Diagnosis, 2019)

Data transformations for variance stabilization in the statistical assessment of quantitative imaging biomarkers. - Qi Gong; Qin Li 018; Marios A. Gavrielides; Nicholas Petrick (Image Perception, Observer Performance, and Technology Assessment, 2019)

3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT. - Aria Pezeshk; Sardar Hamidian; Nicholas Petrick; Berkman Sahiner (IEEE J. Biomed. Health Informatics, 2019)

Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN. - Zahra Ghanian; Andreu Badal; Kenny H. Cha; Mohammad Mehdi Farhangi; Nicholas Petrick; Berkman Sahiner (MLMI@MICCAI, 2020)

Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help. - Kenny H. Cha; Alexej Gossmann; Nicholas Petrick; Berkman Sahiner (Image Perception, Observer Performance, and Technology Assessment, 2020)

Scaling modeling and simulation on high-performance computing clusters. - Mike Mikailov; Junshan Qiu; Fu-Jyh Luo; Stephen Whitney; Nicholas Petrick (Simul., 2020)

Assessment of bone fragility in projection images using radiomic features. - Qian Cao; Nicholas Petrick; Stephanie Coquia; Kenny H. Cha; Rongping Zeng; Keith Wear; Berkman Sahiner; Qin Li 018 (Computer-Aided Diagnosis, 2021)

Deciphering deep ensembles for lung nodule analysis. - Ravi K. Samala; Berkman Sahiner; Gene Pennello; Kenny H. Cha; Mohammad Mehdi Farhangi; Nicholas Petrick (Computer-Aided Diagnosis, 2022)

Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory. - Yee Lam Elim Thompson; Gary M. Levine; Weijie Chen 007; Berkman Sahiner; Qin Li 018; Nicholas Petrick; Frank W. Samuelson (Image Perception, Observer Performance, and Technology Assessment, 2022)

Sequential algorithmic modification with test data reuse. - Jean Feng; Gene Pennello; Nicholas Petrick; Berkman Sahiner; Romain Pirracchio; Alexej Gossmann (UAI, 2022)

Profiling the BLAST bioinformatics application for load balancing on high-performance computing clusters. - Trinity Cheng; Pei-Ju Chin; Kenny H. Cha; Nicholas Petrick; Mike Mikailov (BMC Bioinform., 2022)

Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions. - Jean Feng; Alexej Gossmann; Gene Pennello; Nicholas Petrick; Berkman Sahiner; Romain Pirracchio (CoRR, 2022)

FDA fosters innovative approaches in research, resources and collaboration. - Brandon D. Gallas; Aldo Badano; Sarah Dudgeon; Katherine Elfer; Victor Garcia; Jochen K. Lennerz; Kyle J. Myers; Nicholas Petrick; Ed Margerrison (Nat. Mach. Intell., 2022)

Deep learning texture analysis for the assessment of trabecular bone stiffness in CT. - Ran Yan; Qian Cao; Sriharsha Marupudi; Ravi K. Samala; Nicholas Petrick (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Decision region analysis to deconstruct the subgroup influence on AI/ML predictions. - Alexis Burgon; Nicholas Petrick; Berkman Sahiner; Gene Pennello; Ravi K. Samala (Computer-Aided Diagnosis, 2023)

Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models. - Mitchell Pavlak; Nathan Drenkow; Nicholas Petrick; Mohammad Mehdi Farhangi; Mathias Unberath (MICCAI (3), 2023)

Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images. - Arian Arab; Victor Garcia; Shuyue Guan; Brandon D. Gallas; Berkman Sahiner; Nicholas Petrick; Weijie Chen 007 (Digital and Computational Pathology, 2023)

Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study. - Seyed M. M. Kahaki; Ian S. Hagemann; Kenny H. Cha; Christopher J. Trindade; Nicholas Petrick; Nicolas Kostelecky; Weijie Chen 007 (Digital and Computational Pathology, 2023)

Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study. - Jean Feng; Adarsh Subbaswamy; Alexej Gossmann; Harvineet Singh; Berkman Sahiner; Mi-Ok Kim; Gene Pennello; Nicholas Petrick; Romain Pirracchio; Fan Xia (CoRR, 2023)

Is this model reliable for everyone? Testing for strong calibration. - Jean Feng; Alexej Gossmann; Romain Pirracchio; Nicholas Petrick; Gene Pennello; Berkman Sahiner (AISTATS, 2024)

Monitoring machine learning-based risk prediction algorithms in the presence of performativity. - Jean Feng; Alexej Gossmann; Gene Pennello; Nicholas Petrick; Berkman Sahiner; Romain Pirracchio (AISTATS, 2024)

Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. - Jean Feng; Adarsh Subbaswamy; Alexej Gossmann; Harvineet Singh; Berkman Sahiner; Mi-Ok Kim; Gene Anthony Pennello; Nicholas Petrick; Romain Pirracchio; Fan Xia (CLeaR, 2024)

Transparency of artificial intelligence/machine learning-enabled medical devices. - Aubrey A. Shick; Christina M. Webber; Nooshin Kiarashi; Jessica P. Weinberg; Aneesh Deoras; Nicholas Petrick; Anindita Saha; Matthew C. Diamond (npj Digit. Medicine, 2024)

A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform. - Adarsh Subbaswamy; Berkman Sahiner; Nicholas Petrick; Vinay Pai; Roy Adams; Matthew C. Diamond; Suchi Saria (npj Digit. Medicine, 2024)

DICaugment: A Python Package for 3D Medical Imaging Augmentation. - J. McIntosh; Qian Cao; Berkman Sahiner; Nicholas Petrick; Mohammad Mehdi Farhangi (J. Open Source Softw., 2024)

TorchSurv: A Lightweight Package for Deep Survival Analysis. - Mélodie Monod; Peter Krusche; Qian Cao; Berkman Sahiner; Nicholas Petrick; David Ohlssen; Thibaud Coroller (J. Open Source Softw., 2024)

Applying queueing theory to evaluate wait-time-savings of triage algorithms. - Yee Lam Elim Thompson; Gary M. Levine; Weijie Chen 007; Berkman Sahiner; Qin Li 018; Nicholas Petrick; Jana G. Delfino; Miguel A. Lago; Qian Cao; Frank W. Samuelson (Queueing Syst. Theory Appl., 2024)

Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods. - Alexis Burgon; Yuhang Zhang; Nicholas Petrick; Berkman Sahiner; Kenny H. Cha; Ravi K. Samala (IEEE J. Biomed. Health Informatics, 2025)