Pingjun Chen

According to our database, Pingjun Chen authored at least 21 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma.

Pingjun Chen, Maliazurina B. Saad, Frank R. Rojas, Morteza Salehjahromi, Muhammad Aminu, Rukhmini Bandyopadhyay, Lingzhi Hong, Kingsley Ebare, Carmen Behrens, Don L. Gibbons, Neda Kalhor, John V. Heymach, Ignacio I. Wistuba, Luisa M. Solis Soto, Jianjun Zhang, Jia Wu

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

Is More Always Better? Effects of Patch Sampling in Distinguishing Chronic Lymphocytic Leukemia from Transformation to Diffuse Large B-Cell Lymphoma.

Rukhmini Bandyopadhyay, Pingjun Chen, Siba El Hussein, Frank R. Rojas, Kingsley Ebare, Ignacio I. Wistuba, Luisa M. Solis Soto, L. Jeffrey Medeiros, Jianjun Zhang, Joseph D. Khoury, Jia Wu

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

Understanding Tumor Micro Environment Using Graph Theory.

Kinza Rohail, Saba Bashir, Hazrat Ali, Tanvir Alam, Sheheryar Khan, Jia Wu, Pingjun Chen, Rizwan Qureshi

Proceedings of the Computer Vision - ACCV 2022 Workshops, 2022

2021

Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks.

Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Pingjun Chen, Yun Liang, Zhiyong Lu, Zhenhua Guo

IEEE Trans. Image Process., 2021

CellSpatialGraph: Integrate hierarchical phenotyping and graph modeling to characterize spatial architecture in tumor microenvironment on digital pathology.

Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph D. Khoury, Jia Wu

Softw. Impacts, 2021

Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine.

Zizhao Zhang, Pingjun Chen, Xiaoshuang Shi, Lin Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion.

Pingjun Chen, Yun Liang, Xiaoshuang Shi, Lin Yang, Paul D. Gader

Neurocomputing, 2021

Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms.

Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph D. Khoury, Jia Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Interactive thyroid whole slide image diagnostic system using deep representation.

Pingjun Chen, Xiaoshuang Shi, Yun Liang, Yuan Li, Lin Yang, Paul D. Gader

Comput. Methods Programs Biomed., 2020

Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning.

Yuan Li, Pingjun Chen, Zhiyuan Li, Hai Su, Lin Yang, Dingrong Zhong

Artif. Intell. Medicine, 2020

Anatomy-Aware Cardiac Motion Estimation.

Pingjun Chen, Xiao Chen, Eric Z. Chen, Hanchao Yu, Terrence Chen, Shanhui Sun

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Chromosome Segmentation via Data Simulation and Shape Learning.

Pingjun Chen, Jinzheng Cai, Lin Yang

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.

Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang

Nat. Mach. Intell., 2019

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.

Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jaspreet Singh Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang

Nat. Mach. Intell., 2019

tissueloc: Whole slide digital pathology image tissue localization.

Pingjun Chen, Lin Yang

J. Open Source Softw., 2019

Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss.

Pingjun Chen, Linlin Gao, Xiaoshuang Shi, Kyle Allen, Lin Yang

Comput. Medical Imaging Graph., 2019

Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images.

Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang

BMC Bioinform., 2019

Towards pixel-to-pixel deep nucleus detection in microscopy images.

Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang

BMC Bioinform., 2019

2018

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays.

Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References.

Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2015

Fiber segmentation using a density-peaks clustering algorithm.

Pingjun Chen, Xin Fan, Ruiyang Liu, Xianxuan Tang, Hua Cheng

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015