Weijie Chen

37 papers B 2Journal 10Unranked 25
YearRankTypeTitle / Venue / Authors
2025 J jnl
Impact of AI-Triage on Radiologist Report Turnaround Time: Real-World Time-Savings and Insights from Model Predictions.
CoRR
Yee Lam Elim Thompson, Jonathan Fergus, Jonathan H. Chung, Jana G. Delfino, Weijie Chen, Gary M. Levine, Frank W. Samuelson
2025 — conf
Restorable Segmentation Synthesis Using Fourier Descriptors.
AIPR
Shuyue Guan, Weijie Chen
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 — conf
Restorable Synthesis: Average Synthetic Segmentation Converges to a Polygon Approximation of an Object Contour in Medical Images.
SSIAI
Shuyue Guan, Ravi K. Samala, Seyed M. M. Kahaki, Weijie Chen
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 — conf
MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors.
Computer-Aided Diagnosis
Shuyue Guan, Ravi K. Samala, Arian Arab, Weijie Chen
2023 J jnl
Scaling the Inference of Digital Pathology Deep Learning Models Using CPU-Based High-Performance Computing.
IEEE Trans. Artif. Intell.
Weizhe Li, Mike Mikailov, Weijie Chen
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
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors.
AIPR
Shuyue Guan, Ravi K. Samala, Weijie Chen
2022 J jnl
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors.
CoRR
Shuyue Guan, Ravi K. Samala, Weijie Chen
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
2019 — conf
Adaptive sample size re-estimation in MRMC studies.
Image Perception, Observer Performance, and Technology Assessment
Weijie Chen, Zhipeng Huang, Frank W. Samuelson, Lucas Tcheuko
2019 — conf
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning.
Digital Pathology
Çaglar Senaras, M. Khalid Khan Niazi, Vidya Arole, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
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 — conf
Efficiency gain of paired split-plot designs in MRMC ROC studies.
Image Perception, Observer Performance, and Technology Assessment
Weijie Chen, Qi Gong, Brandon D. Gallas
2018 — conf
Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction.
Digital Pathology
Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
2017 — conf
FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage.
Digital Pathology
Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
2017 J jnl
Seamless Lesion Insertion for Data Augmentation in CAD Training.
IEEE Trans. Medical Imaging
Aria Pezeshk, Nicholas Petrick, Weijie Chen, Berkman Sahiner
2016 — conf
MRMC analysis of agreement studies.
Image Perception, Observer Performance, and Technology Assessment
Brandon D. Gallas, Amrita Anam, Weijie Chen, Adam Wunderlich, Zhiwei Zhang
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 J jnl
Classification of follicular lymphoma: the effect of computer aid on pathologists grading.
BMC Medical Informatics Decis. Mak.
Mohammad Faizal Ahmad Fauzi, Michael Pennell, Berkman Sahiner, Weijie Chen, Arwa Shana'ah, Jessica Hemminger, Alejandro Gru, Habibe Kurt, Michael Losos, Amy Joehlin-Price, Christina Kavran, Stephen M. Smith, Nicholas Nowacki, Sharmeen Mansor, Gerard Lozanski, Metin N. Gurcan
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
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
2012 J jnl
Classifier variability: Accounting for training and testing.
Pattern Recognit.
Weijie Chen, Brandon D. Gallas, Waleed A. Yousef
2012 J jnl
Uncertainty estimation with a finite dataset in the assessment of classification models.
Comput. Stat. Data Anal.
Weijie Chen, Waleed A. Yousef, Brandon D. Gallas, Elizabeth R. Hsu, Samir Lababidi, Rong Tang, Gene A. Pennello, W. Fraser Symmans, Lajos Pusztai
2010 J jnl
A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications.
IEEE Trans. Medical Imaging
Weijie Chen, Charles E. Metz, Maryellen L. Giger, Karen Drukker
2010 — conf
Training variability in the evaluation of automated classifiers.
Computer-Aided Diagnosis
Weijie Chen, Brandon D. Gallas
2008 — conf
Hybrid linear classifier for jointly normal data: theory.
Computer-Aided Diagnosis
Weijie Chen, Charles E. Metz, Maryellen L. Giger
2007 — conf
Automatic selection of region of interest for radiographic texture analysis.
Computer-Aided Diagnosis
Li Lan, Maryellen L. Giger, Joel R. Wilkie, Tamara J. Vokes, Weijie Chen, Hui Li, Tracy Lyons, Michael R. Chinander, Ann Pham
2007 — conf
Joint feature selection and classification using a Bayesian neural network with automatic relevance determination priors: potential use in CAD of medical imaging.
Computer-Aided Diagnosis
Weijie Chen, Richard M. Zur, Maryellen L. Giger
2007 — conf
Progress in Breast Cadx.
ISBI
Maryellen L. Giger, Yading Yuan, Hui Li, Karen Drukker, Weijie Chen, Li Lan, Karla Horsch
2006 B conf
A novel strategy for segmentation of magnetic resonance (MR) images corrupted by intensity inhomogeneity artifacts.
Image Processing
Weijie Chen, Maryellen L. Giger
2004 — conf
A Fuzzy C-Means (FCM) Based Algorithm for Intensity Inhomogeneity Correction and Segmentation of MR Images.
ISBI
Weijie Chen, Maryellen L. Giger
2004 B conf
Automated identification of temporal pattern with high initial enhancement in dynamic MR lesions using fuzzy c-means algorithm.
Image Processing
Weijie Chen, Maryellen Lissak Giger, Ulrich Bick
2004 — conf
Computerized assessment of tumor extent in contrast-enhanced MR images of the breast.
CARS
Weijie Chen, Maryellen L. Giger, Gillian Newstead, Ulrich Bick, Li Lan