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ORCIDWeijie Chen 0007
Person information
- affiliation: United States Food and Drug Administration, White Oak, MD, USA
- affiliation (PhD): University of Chicago, IL, USA
Other persons with the same name
- Weijie Chen (aka: Wei-Jie Chen) — disambiguation page
- Weijie Chen 0001
![[0000-0001-5186-0279]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5186-0279")
(aka: Wei-Jie Chen 0001) — Zhejiang University of Technology, Zhijiang College, Hangzhou, China - Weijie Chen 0002 — State Grid of China Technology College, Jinan, China
- Weijie Chen 0003 — Peking University, Academy for Advanced Interdisciplinary Studies, Beijing, China
- Weijie Chen 0005 — Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Weijie Chen 0006 — Hikvision Research Institute, Hangzhou, China (and 1 more)
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Journal Articles
- 2024
[j8]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:
Applying queueing theory to evaluate wait-time-savings of triage algorithms. Queueing Syst. Theory Appl. 108(3): 579-610 (2024)- 2023
- [j7]Weizhe Li, Mike Mikailov, Weijie Chen:
Scaling the Inference of Digital Pathology Deep Learning Models Using CPU-Based High-Performance Computing. IEEE Trans. Artif. Intell. 4(6): 1691-1704 (2023) - 2017
- [j6]Aria Pezeshk, Nicholas Petrick, Weijie Chen, Berkman Sahiner:
Seamless Lesion Insertion for Data Augmentation in CAD Training. IEEE Trans. Medical Imaging 36(4): 1005-1015 (2017) - 2015
- [j5]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:
Classification of follicular lymphoma: the effect of computer aid on pathologists grading. BMC Medical Informatics Decis. Mak. 15: 115 (2015) - [j4]Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick:
Seamless Insertion of Pulmonary Nodules in Chest CT Images. IEEE Trans. Biomed. Eng. 62(12): 2812-2827 (2015) - 2012
- [j3]Weijie Chen, Waleed A. Yousef, Brandon D. Gallas, Elizabeth R. Hsu, Samir Lababidi, Rong Tang, Gene A. Pennello, W. Fraser Symmans, Lajos Pusztai:
Uncertainty estimation with a finite dataset in the assessment of classification models. Comput. Stat. Data Anal. 56(5): 1016-1027 (2012) - [j2]Weijie Chen, Brandon D. Gallas, Waleed A. Yousef:
Classifier variability: Accounting for training and testing. Pattern Recognit. 45(7): 2661-2671 (2012) - 2010
- [j1]Weijie Chen, Charles E. Metz, Maryellen L. Giger, Karen Drukker:
A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications. IEEE Trans. Medical Imaging 29(2): 428-441 (2010)
Conference and Workshop Papers
- 2024
- [c26]Shuyue Guan, Ravi K. Samala, Seyed M. M. Kahaki, Weijie Chen:
Restorable Synthesis: Average Synthetic Segmentation Converges to a Polygon Approximation of an Object Contour in Medical Images. SSIAI 2024: 77-80 - 2023
- [c25]Shuyue Guan, Ravi K. Samala, Arian Arab, Weijie Chen:
MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors. Computer-Aided Diagnosis 2023 - [c24]Arian Arab, Victor Garcia, Shuyue Guan, Brandon D. Gallas, Berkman Sahiner, Nicholas Petrick, Weijie Chen:
Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images. Digital and Computational Pathology 2023 - [c23]Seyed M. M. Kahaki, Ian S. Hagemann, Kenny H. Cha, Christopher J. Trindade, Nicholas Petrick, Nicolas Kostelecky, Weijie Chen:
Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study. Digital and Computational Pathology 2023 - 2022
- [c22]Shuyue Guan, Ravi K. Samala, Weijie Chen:
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. AIPR 2022: 1-8 - [c21]Yee Lam Elim Thompson, Gary M. Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, Frank W. Samuelson:
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 2022 - 2019
- [c20]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:
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. Digital Pathology 2019: 109560R - [c19]Weijie Chen, Zhipeng Huang, Frank W. Samuelson, Lucas Tcheuko:
Adaptive sample size re-estimation in MRMC studies. Image Perception, Observer Performance, and Technology Assessment 2019: 109520G - 2018
- [c18]Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan:
Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. Digital Pathology 2018: 1058106 - [c17]Weijie Chen, Qi Gong, Brandon D. Gallas:
Efficiency gain of paired split-plot designs in MRMC ROC studies. Image Perception, Observer Performance, and Technology Assessment 2018: 105770F - [c16]Yang Yang, Berkman Sahiner, Zhipeng Huang, Nicholas Petrick, Weijie Chen:
Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study. Image Perception, Observer Performance, and Technology Assessment 2018: 1057713 - 2017
- [c15]Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan:
FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage. Digital Pathology 2017: 101400E - 2016
- [c14]Brandon D. Gallas, Amrita Anam, Weijie Chen, Adam Wunderlich, Zhiwei Zhang:
MRMC analysis of agreement studies. Image Perception, Observer Performance, and Technology Assessment 2016: 97870F - [c13]Berkman Sahiner, Weijie Chen, Aria Pezeshk, Nicholas Petrick:
Semi-parametric estimation of the area under the precision-recall curve. Image Perception, Observer Performance, and Technology Assessment 2016: 97870D - 2015
- [c12]Aria Pezeshk, Berkman Sahiner, Weijie Chen, Nicholas Petrick:
Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams. Computer-Aided Diagnosis 2015: 94140A - 2014
- [c11]Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick:
Seamless insertion of real pulmonary nodules in chest CT exams. Computer-Aided Diagnosis 2014: 90351K - 2013
- [c10]Berkman Sahiner, Xin He, Weijie Chen, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick:
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 2013: 86701M - 2010
- [c9]Weijie Chen, Brandon D. Gallas:
Training variability in the evaluation of automated classifiers. Computer-Aided Diagnosis 2010: 762404 - 2008
- [c8]Weijie Chen, Charles E. Metz, Maryellen L. Giger:
Hybrid linear classifier for jointly normal data: theory. Computer-Aided Diagnosis 2008: 691504 - 2007
- [c7]Maryellen L. Giger, Yading Yuan, Hui Li, Karen Drukker, Weijie Chen, Li Lan, Karla Horsch:
Progress in Breast Cadx. ISBI 2007: 508-511 - [c6]Weijie Chen, Richard M. Zur, Maryellen L. Giger:
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 2007: 65141G - [c5]Li Lan, Maryellen L. Giger, Joel R. Wilkie, Tamara J. Vokes, Weijie Chen, Hui Li, Tracy Lyons, Michael R. Chinander, Ann Pham:
Automatic selection of region of interest for radiographic texture analysis. Computer-Aided Diagnosis 2007: 651436 - 2006
- [c4]Weijie Chen, Maryellen L. Giger:
A novel strategy for segmentation of magnetic resonance (MR) images corrupted by intensity inhomogeneity artifacts. Image Processing 2006: 61441C - 2004
- [c3]Weijie Chen, Maryellen L. Giger, Gillian Newstead, Ulrich Bick, Li Lan:
Computerized assessment of tumor extent in contrast-enhanced MR images of the breast. CARS 2004: 1353 - [c2]Weijie Chen, Maryellen L. Giger:
A Fuzzy C-Means (FCM) Based Algorithm for Intensity Inhomogeneity Correction and Segmentation of MR Images. ISBI 2004: 1307-1310 - [c1]Weijie Chen, Maryellen Lissak Giger, Ulrich Bick:
Automated identification of temporal pattern with high initial enhancement in dynamic MR lesions using fuzzy c-means algorithm. Image Processing 2004
Informal and Other Publications
- 2022
- [i1]Shuyue Guan, Ravi K. Samala, Weijie Chen:
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. CoRR abs/2212.14828 (2022)
Coauthor Index
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