Weijie Chen
Orcid: 0000-0001-7437-7829Affiliations:
- 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.
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Bibliography
2024
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
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
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
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
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
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
2015
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
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
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
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008
2007
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
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