Computerized assessment of tumor extent in contrast-enhanced MR images of the breast. - Weijie Chen 007; Maryellen L. Giger; Gillian Newstead; Ulrich Bick; Li Lan (CARS, 2004)

A Fuzzy C-Means (FCM) Based Algorithm for Intensity Inhomogeneity Correction and Segmentation of MR Images. - Weijie Chen 007; Maryellen L. Giger (ISBI, 2004)

Automated identification of temporal pattern with high initial enhancement in dynamic MR lesions using fuzzy c-means algorithm. - Weijie Chen 007; Maryellen Lissak Giger; Ulrich Bick (Image Processing, 2004)

A novel strategy for segmentation of magnetic resonance (MR) images corrupted by intensity inhomogeneity artifacts. - Weijie Chen 007; Maryellen L. Giger (Image Processing, 2006)

Progress in Breast Cadx. - Maryellen L. Giger; Yading Yuan; Hui Li 024; Karen Drukker; Weijie Chen 007; Li Lan; Karla Horsch (ISBI, 2007)

Joint feature selection and classification using a Bayesian neural network with automatic relevance determination priors: potential use in CAD of medical imaging. - Weijie Chen 007; Richard M. Zur; Maryellen L. Giger (Computer-Aided Diagnosis, 2007)

Automatic selection of region of interest for radiographic texture analysis. - Li Lan; Maryellen L. Giger; Joel R. Wilkie; Tamara J. Vokes; Weijie Chen 007; Hui Li 024; Tracy Lyons; Michael R. Chinander; Ann Pham (Computer-Aided Diagnosis, 2007)

Hybrid linear classifier for jointly normal data: theory. - Weijie Chen 007; Charles E. Metz; Maryellen L. Giger (Computer-Aided Diagnosis, 2008)

Training variability in the evaluation of automated classifiers. - Weijie Chen 007; Brandon D. Gallas (Computer-Aided Diagnosis, 2010)

A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications. - Weijie Chen 007; Charles E. Metz; Maryellen L. Giger; Karen Drukker (IEEE Trans. Medical Imaging, 2010)

Uncertainty estimation with a finite dataset in the assessment of classification models. - Weijie Chen 007; Waleed A. Yousef; Brandon D. Gallas; Elizabeth R. Hsu; Samir Lababidi; Rong Tang; Gene A. Pennello; W. Fraser Symmans; Lajos Pusztai (Comput. Stat. Data Anal., 2012)

Classifier variability: Accounting for training and testing. - Weijie Chen 007; Brandon D. Gallas; Waleed A. Yousef (Pattern Recognit., 2012)

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)

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)

Classification of follicular lymphoma: the effect of computer aid on pathologists grading. - Mohammad Faizal Ahmad Fauzi; Michael Pennell; Berkman Sahiner; Weijie Chen 007; Arwa Shana'ah; Jessica Hemminger; Alejandro Gru; Habibe Kurt; Michael Losos; Amy Joehlin-Price; Christina Kavran; Stephen M. Smith 002; et al. (BMC Medical Informatics Decis. Mak., 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)

MRMC analysis of agreement studies. - Brandon D. Gallas; Amrita Anam; Weijie Chen 007; Adam Wunderlich; Zhiwei Zhang (Image Perception, Observer Performance, and Technology Assessment, 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)

FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage. - Çaglar Senaras; Michael Pennell; Weijie Chen 007; Berkman Sahiner; Arwa Shana'ah; Abner Louissaint; Robert Paul Hasserjian; Gerard Lozanski; Metin Nafi Gürcan (Digital Pathology, 2017)

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

Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. - Çaglar Senaras; Michael Pennell; Weijie Chen 007; Berkman Sahiner; Arwa Shana'ah; Abner Louissaint; Robert Paul Hasserjian; Gerard Lozanski; Metin Nafi Gürcan (Digital Pathology, 2018)

Efficiency gain of paired split-plot designs in MRMC ROC studies. - Weijie Chen 007; Qi Gong; Brandon D. Gallas (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)

Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. - Çaglar Senaras; M. Khalid Khan Niazi; Vidya Arole; Weijie Chen 007; Berkman Sahiner; Arwa Shana'ah; Abner Louissaint; Robert Paul Hasserjian; Gerard Lozanski; Metin Nafi Gürcan (Digital Pathology, 2019)

Adaptive sample size re-estimation in MRMC studies. - Weijie Chen 007; Zhipeng Huang 007; Frank W. Samuelson; Lucas Tcheuko (Image Perception, Observer Performance, and Technology Assessment, 2019)

Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. - Shuyue Guan; Ravi K. Samala; Weijie Chen 007 (AIPR, 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)

MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors. - Shuyue Guan; Ravi K. Samala; Arian Arab; Weijie Chen 007 (Computer-Aided Diagnosis, 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)

Scaling the Inference of Digital Pathology Deep Learning Models Using CPU-Based High-Performance Computing. - Weizhe Li; Mike Mikailov; Weijie Chen 007 (IEEE Trans. Artif. Intell., 2023)

Restorable Synthesis: Average Synthetic Segmentation Converges to a Polygon Approximation of an Object Contour in Medical Images. - Shuyue Guan; Ravi K. Samala; Seyed M. M. Kahaki; Weijie Chen 007 (SSIAI, 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)