Pingjun Chen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 26

Top Topics

Weakly Supervised

Image Recognition

Top Venues

Nat. Mach. Intell.

IEEE Trans. Image Process.

Publications

Anas Zafar, Danyal Aftab, Rizwan Qureshi, Xinqi Fan, Pingjun Chen, Jia Wu, Hazrat Ali, Shah Nawaz, Sheheryar Khan, Mubarak Shah
Single Stage Adaptive Multi-Attention Network for Image Restoration. IEEE Trans. Image Process. 33 (2024)
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
Is More Always Better? Effects of Patch Sampling in Distinguishing Chronic Lymphocytic Leukemia from Transformation to Diffuse Large B-Cell Lymphoma. CMMCA@MICCAI (2022)
Kinza Rohail, Saba Bashir, Hazrat Ali, Tanvir Alam, Sheheryar Khan, Jia Wu, Pingjun Chen, Rizwan Qureshi
Understanding Tumor Micro Environment Using Graph Theory. ACCV (Workshops) (2022)
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
Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma. CMMCA@MICCAI (2022)
Pingjun Chen, Yun Liang, Xiaoshuang Shi, Lin Yang, Paul D. Gader
Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion. Neurocomputing 453 (2021)
Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Pingjun Chen, Yun Liang, Zhiyong Lu, Zhenhua Guo
Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks. IEEE Trans. Image Process. 30 (2021)
Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph Khoury, Jia Wu
CellSpatialGraph: Integrate hierarchical phenotyping and graph modeling to characterize spatial architecture in tumor microenvironment on digital pathology. Softw. Impacts 10 (2021)
Zizhao Zhang, Pingjun Chen, Xiaoshuang Shi, Lin Yang
Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine. IEEE Trans. Pattern Anal. Mach. Intell. 43 (5) (2021)
Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph Khoury, Jia Wu
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms. CoRR (2021)
Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph Khoury, Jia Wu
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms. MICCAI (8) (2021)
Pingjun Chen, Xiao Chen, Eric Z. Chen, Hanchao Yu, Terrence Chen, Shanhui Sun
Anatomy-Aware Cardiac Motion Estimation. MLMI@MICCAI (2020)
Pingjun Chen, Xiao Chen, Eric Z. Chen, Hanchao Yu, Terrence Chen, Shanhui Sun
Anatomy-Aware Cardiac Motion Estimation. CoRR (2020)
Pingjun Chen, Xiaoshuang Shi, Yun Liang, Yuan Li, Lin Yang, Paul D. Gader
Interactive thyroid whole slide image diagnostic system using deep representation. Comput. Methods Programs Biomed. 195 (2020)
Pingjun Chen, Jinzheng Cai, Lin Yang
Chromosome Segmentation via Data Simulation and Shape Learning. EMBC (2020)
Yuan Li, Pingjun Chen, Zhiyuan Li, Hai Su, Lin Yang, Dingrong Zhong
Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning. Artif. Intell. Medicine 108 (2020)
Pingjun Chen, Lin Yang
tissueloc: Whole slide digital pathology image tissue localization. J. Open Source Softw. 4 (33) (2019)
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
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1 (6) (2019)
Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang
Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. 20 (1) (2019)
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
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1 (8) (2019)
Pingjun Chen, Linlin Gao, Xiaoshuang Shi, Kyle Allen, Lin Yang
Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss. Comput. Medical Imaging Graph. 75 (2019)
Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang
Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. 20 (1) (2019)
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
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1 (5) (2019)
Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. MICCAI (2) (2018)
Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. CoRR (2018)
Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. CoRR (2017)
Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. MICCAI (3) (2017)
Pingjun Chen, Xin Fan, Ruiyang Liu, Xianxuan Tang, Hua Cheng
Fiber segmentation using a density-peaks clustering algorithm. ISBI (2015)