Jing Ke

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 50

Top Venues

IEEE Trans. Medical Imaging

CoRR

BIBM

MICCAI (5)

University of New South Wales, Sydney, Australia (PHD)

Education History

University of New South Wales, Sydney, Australia

PHD

Publications

Mingxin Liu, Yunzan Liu, Pengbo Xu, Hui Cui, Jing Ke, Jiquan Ma
Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images. IEEE Trans. Medical Imaging 43 (8) (2024)
Chong Wang, Shuxin Li, Jing Ke, Chen Zhang, Yiqing Shen
RandStainNA++: Enhance Random Stain Augmentation and Normalization Through Foreground and Background Differentiation. IEEE J. Biomed. Health Informatics 28 (6) (2024)
Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model. CoRR (2024)
Jing Ke, Yizhou Lu, Yiqing Shen, Junchao Zhu, Yijin Zhou, Jinghan Huang, Jieteng Yao, Xiaoyao Liang, Yi Guo, Zhonghua Wei, Sheng Liu, Qin Huang, Fusong Jiang, Dinggang Shen
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Anal. 85 (2023)
Eduard Lloret Carbonell, Yiqing Shen, Xin Yang, Jing Ke
COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities. MICCAI (5) (2023)
Yuxiang Sun, Kai Liu, Yiqing Shen, Xiaodan Han, Jing Ke
HistDeblur: A Pyramid Trustworthy Framework for Blurry Histologic Artifacts Quality Control. BIBM (2023)
Yiqing Shen, Jing Ke
StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-ensemble. MICCAI (6) (2023)
Yiqing Shen, Arcot Sowmya, Yulin Luo, Xiaoyao Liang, Dinggang Shen, Jing Ke
A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. IEEE Trans. Medical Imaging 42 (7) (2023)
Zhenqi He, Mathias Unberath, Jing Ke, Yiqing Shen
TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation. CoRR (2023)
Yonghao Li, Yiqing Shen, Jiadong Zhang, Shujie Song, Zhenhui Li, Jing Ke, Dinggang Shen
A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. IEEE Trans. Medical Imaging 42 (12) (2023)
Jue Wang, Fumihiko Ino, Jing Ke
PRF: A Fast Parallel Relaxed Flooding Algorithm for Voronoi Diagram Generation on GPU. IPDPS (2023)
Jing Ke, Yiqing Shen, Yizhou Lu, Yi Guo, Dinggang Shen
Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images. Comput. Methods Programs Biomed. 235 (2023)
Junchao Zhu, Yiqing Shen, Haolin Zhang, Jing Ke
An Anti-biased TBSRTC-Category Aware Nuclei Segmentation Framework with a Multi-label Thyroid Cytology Benchmark. MICCAI (6) (2023)
Jing Ke, Kai Liu, Yuxiang Sun, Yuying Xue, Jiaxuan Huang, Yizhou Lu, Jun Dai, Yaobing Chen, Xiaodan Han, Yiqing Shen, Dinggang Shen
Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation. IEEE Trans. Medical Imaging 42 (12) (2023)
Qingyang Wu, Yiqing Shen, Jing Ke
A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Zhenqi He, Mathias Unberath, Jing Ke, Yiqing Shen
TransNuSeg: A Lightweight Multi-task Transformer for Nuclei Segmentation. MICCAI (4) (2023)
Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. MICCAI (2) (2022)
Yiqing Shen, Jing Ke
Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Yiqing Shen, Dinggang Shen, Jing Ke
Identify Representative Samples by Conditional Random Field of Cancer Histology Images. IEEE Trans. Medical Imaging 41 (12) (2022)
Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. CoRR (2022)
Jinghan Huang, Yiqing Shen, Dinggang Shen, Jing Ke
-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection. MICCAI (8) (2021)
Yiqing Shen, Yizhou Lu, Yulin Luo, Jing Ke
Cluster Image Patches with Multiple Mutual Information in Unlabelled Whole-Slide Image. BIBM (2021)
Jing Ke, Yiqing Shen, Xiaoyao Liang, Dinggang Shen
Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology. MICCAI (8) (2021)
Yiqing Shen, Jing Ke
Representative Region Based Active Learning For Histological Classification Of Colorectal Cancer. ISBI (2021)
Feiyang Wu, Zhuoran Song, Jing Ke, Li Jiang, Naifeng Jing, Xiaoyao Liang
PIPArch: Programmable Image Processing Architecture Using Sliding Array. ISPA/BDCloud/SocialCom/SustainCom (2021)
Jing Ke, Yiqing Shen, Xinyu Jiang, Yi Guo, Yaobing Chen, Xiaoyao Liang
Multiple-datasets and multiple-label based color normalization in histopathology with cGAN. Medical Imaging: Digital Pathology (2021)
Yiqing Shen, Jing Ke
Su-Sampling Based Active Learning For Large-Scale Histopathology Image. ICIP (2021)
Jing Ke, Yiqing Shen, Yizhou Lu
Style Normalization In Histology With Federated Learning. ISBI (2021)
Jing Ke, Yiqing Shen, Jason D. Wright, Naifeng Jing, Xiaoyao Liang, Dinggang Shen
Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model. BIBM (2020)
Junwei Deng, Yizhou Lu, Jing Ke
An Accurate Neural Network for Cytologic Whole-Slide Image Analysis. ACSW (2020)
Zhuoran Song, Jianfei Wang, Tianjian Li, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing
GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores. DAC (2020)
Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang
VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. MICRO (2020)
Jing Ke, Changchang Liu, Yizhou Lu, Naifeng Jing, Xiaoyao Liang, Fusong Jiang
FIMIL : A high-throughput deep learning model for abnormality detection with weak annotation in microscopy images. ACSW (2020)
Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang
A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. AIME (2020)
Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Xiaoyao Liang
A Prediction Model of Microsatellite Status from Histology Images. ICBET (2020)
Xiaofei Chen, Xue Wang, Xiaochun Lu, Jing Ke, Xia Guo
Navigation Signal Design and Ranging Performance Evaluation of Cn Band Based on Satellite-to-Ground Link. MLIS (2020)
Jing Ke, Yiqing Shen, Yi Guo, Xiaoyao Liang
Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling. ICIP (2020)
Yiqing Shen, Jing Ke
A Deformable CRF Model for Histopathology Whole-Slide Image Classification. MICCAI (5) (2020)
Jing Ke, Zhaoming Jiang, Changchang Liu, Tomasz Bednarz, Arcot Sowmya, Xiaoyao Liang
Selective Detection and Segmentation of Cervical Cells. ICBBT (2019)
Mei Zhou, Sheng Tang, Wenli Wang, Jing Ke, Zhouhu Deng
A Frequency Multiplication Method Based on Extracting Harmonic From Narrow Pulse. IEEE Access 7 (2019)
Jing Ke, Junwei Deng, Yizhou Lu, Dadong Wang, Yang Song, Huijuan Zhang
Assessment and Elimination of Inflammatory Cell: A Machine Learning Approach in Digital Cytology. DICTA (2019)
Houxiang Ji, Li Jiang, Tianjian Li, Naifeng Jing, Jing Ke, Xiaoyao Liang
HUBPA: high utilization bidirectional pipeline architecture for neuromorphic computing. ASP-DAC (2019)
Jing Ke, Junwei Deng, Yizhou Lu
Noise reduction with image inpainting: an application in clinical data diagnosis. SIGGRAPH Posters (2019)
Jianfei Wang, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing
A sharing-aware L1.5D cache for data reuse in GPGPUs. ASP-DAC (2019)
Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang
Approximate Random Dropout. CoRR (2018)
Sheng Tang, Jing Ke, Zunzun Li, Pengfei Dong
Design and Implementation of Time Synchronization Experimental System for Wireless Sensor Networks. Int. J. Online Eng. 14 (6) (2018)
Jing Ke, Yi Guo, Arcot Sowmya, Tomasz Bednarz
A performance acceleration algorithm of spectral unmixing via subset selection. ESANN (2017)
Jing Ke, Yi Guo, Arcot Sowmya
A Fast Approximate Spectral Unmixing Algorithm Based on Segmentation. CVPR Workshops (2017)
Jing Ke, Tomasz Bednarz, Arcot Sowmya
Optimized GPU implementation for dynamic programming in image data processing. IPCCC (2016)
Jing Ke, Arcot Sowmya, Yi Guo, Tomasz Bednarz, Michael Buckley
Efficient GPU Computing Framework of Cloud Filtering in Remotely Sensed Image Processing. DICTA (2016)
Jing Ke, Chengjin Zhang, Yizheng Qiao
Modified Evolution Strategy Based Identification of Multi-input Single-Output Wiener-Hammerstein Model. ICNC (4) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jing Ke