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Pingjun Chen

Showing results (1-10 of 26) with videos related to

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Journal of Open Source Software|October 7, 2022
tissueloc: Whole slide digital pathology image tissue localizationPingjun Chen, Lin Yang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Chromosome Segmentation via Data Simulation and Shape LearningPingjun Chen, Jinzheng Cai, Lin Yang
21St Century Pathology|October 25, 2022
Artificial Intelligence in Digital Pathology to Advance Cancer ImmunotherapyPingjun Chen, Jianjun Zhang, Jia Wu
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 26, 2019
Text-Guided Neural Network Training for Image Recognition in Natural Scenes and MedicineZizhao Zhang, Pingjun Chen, Xiaoshuang Shi, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 26, 2019
Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal lossPingjun Chen, Linlin Gao, Xiaoshuang Shi, et al.
Neurocomputing|January 27, 2022
Automatic Whole Slide Pathology Image Diagnosis Framework via Unit Stochastic Selection and Attention FusionPingjun Chen, Yun Liang, Xiaoshuang Shi, et al.
BMC Bioinformatics|September 16, 2019
Towards pixel-to-pixel deep nucleus detection in microscopy imagesFuyong Xing, Yuanpu Xie, Xiaoshuang Shi, et al.
Artificial Intelligence in Medicine|September 25, 2020
Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learningYuan Li, Pingjun Chen, Zhiyuan Li, et al.
BMC Bioinformatics|October 24, 2019
Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy imagesFuyong Xing, Yuanpu Xie, Xiaoshuang Shi, et al.
Software Impacts|October 7, 2022
CellSpatialGraph: Integrate hierarchical phenotyping and graph modeling to characterize spatial architecture in tumor microenvironment on digital pathologyPingjun Chen, Muhammad Aminu, Siba El Hussein, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Journal of Open Source Software|October 7, 2022
tissueloc: Whole slide digital pathology image tissue localizationPingjun Chen, Lin Yang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Chromosome Segmentation via Data Simulation and Shape LearningPingjun Chen, Jinzheng Cai, Lin Yang
21St Century Pathology|October 25, 2022
Artificial Intelligence in Digital Pathology to Advance Cancer ImmunotherapyPingjun Chen, Jianjun Zhang, Jia Wu
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 26, 2019
Text-Guided Neural Network Training for Image Recognition in Natural Scenes and MedicineZizhao Zhang, Pingjun Chen, Xiaoshuang Shi, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 26, 2019
Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal lossPingjun Chen, Linlin Gao, Xiaoshuang Shi, et al.
Neurocomputing|January 27, 2022
Automatic Whole Slide Pathology Image Diagnosis Framework via Unit Stochastic Selection and Attention FusionPingjun Chen, Yun Liang, Xiaoshuang Shi, et al.
BMC Bioinformatics|September 16, 2019
Towards pixel-to-pixel deep nucleus detection in microscopy imagesFuyong Xing, Yuanpu Xie, Xiaoshuang Shi, et al.
Artificial Intelligence in Medicine|September 25, 2020
Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learningYuan Li, Pingjun Chen, Zhiyuan Li, et al.
BMC Bioinformatics|October 24, 2019
Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy imagesFuyong Xing, Yuanpu Xie, Xiaoshuang Shi, et al.
Software Impacts|October 7, 2022
CellSpatialGraph: Integrate hierarchical phenotyping and graph modeling to characterize spatial architecture in tumor microenvironment on digital pathologyPingjun Chen, Muhammad Aminu, Siba El Hussein, et al.
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