Weijie Chen

Orcid: 0000-0001-7437-7829

Affiliations:
  • United States Food and Drug Administration, White Oak, MD, USA
  • University of Chicago, IL, USA (PhD)


According to our database1, Weijie Chen authored at least 34 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Applying queueing theory to evaluate wait-time-savings of triage algorithms.
Queueing Syst. Theory Appl., December, 2024

Restorable Synthesis: Average Synthetic Segmentation Converges to a Polygon Approximation of an Object Contour in Medical Images.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2024

2023
Scaling the Inference of Digital Pathology Deep Learning Models Using CPU-Based High-Performance Computing.
IEEE Trans. Artif. Intell., December, 2023

Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022
Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors.
Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

2019
Adaptive sample size re-estimation in MRMC studies.
Proceedings of the Medical Imaging 2019: Image Perception, 2019

Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

2018
Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study.
Proceedings of the Medical Imaging 2018: Image Perception, 2018

Efficiency gain of paired split-plot designs in MRMC ROC studies.
Proceedings of the Medical Imaging 2018: Image Perception, 2018

Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

2017
Seamless Lesion Insertion for Data Augmentation in CAD Training.
IEEE Trans. Medical Imaging, 2017

FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

2016
Semi-parametric estimation of the area under the precision-recall curve.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

MRMC analysis of agreement studies.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2015
Seamless Insertion of Pulmonary Nodules in Chest CT Images.
IEEE Trans. Biomed. Eng., 2015

Classification of follicular lymphoma: the effect of computer aid on pathologists grading.
BMC Medical Informatics Decis. Mak., 2015

Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014
Seamless insertion of real pulmonary nodules in chest CT exams.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

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.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012
Classifier variability: Accounting for training and testing.
Pattern Recognit., 2012

Uncertainty estimation with a finite dataset in the assessment of classification models.
Comput. Stat. Data Anal., 2012

2010
A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications.
IEEE Trans. Medical Imaging, 2010

Training variability in the evaluation of automated classifiers.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

2008
Hybrid linear classifier for jointly normal data: theory.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

2007
Automatic selection of region of interest for radiographic texture analysis.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007

Joint feature selection and classification using a Bayesian neural network with automatic relevance determination priors: potential use in CAD of medical imaging.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007

Progress in Breast Cadx.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
A novel strategy for segmentation of magnetic resonance (MR) images corrupted by intensity inhomogeneity artifacts.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

2004
Automated identification of temporal pattern with high initial enhancement in dynamic MR lesions using fuzzy c-means algorithm.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

A Fuzzy C-Means (FCM) Based Algorithm for Intensity Inhomogeneity Correction and Segmentation of MR Images.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Computerized assessment of tumor extent in contrast-enhanced MR images of the breast.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004


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